n=29), whereas those with CT scores of 9–25 were classified into the MSP group (n=31). Clinical indices, including oxygenation index (PaO₂/FiO₂), fibrinogen, and pneumonia severity index (PSI), were collected. The 3D EIT composite image based on the individual CT images of each patient was constructed, and the percentage of ventilation blocked regions (PVBR), ventilation distribution center error (VDCE), and global ventilation delay index (GVDI) were established. Receiver operating characteristic (ROC) curves were plotted to evaluate the discriminative performance, and Pearson correlation coefficient (r) was used to assess the correlation between 3D EIT ventilation indices and CT score.Results There were no statistically significant differences in baseline characteristics between the two groups (P>0.05). Compared with the LP group, the MSP group showed lower PaO₂/FiO₂ (166 mmHg vs. 298 mmHg, P<0.01), higher fibrinogen (4.59 g/L vs. 3.90 g/L, P<0.01), higher PSI (114.23 vs. 94.52, P<0.01), higher PVBR (39.33 vs. 26.33, P<0.001), higher VDCE (42.21 vs. 35.33, P<0.05), and higher GVDI (0.48 vs. 0.38, P<0.001). Among the conventional clinical indices, PaO₂/FiO₂ showed the highest area under the ROC curve (AUC=0.723). Among the 3D EIT ventilation indices, PVBR showed the best performance, with an AUC of 0.775 and a specificity of 96.6%. CT score was negatively correlated with PaO₂/FiO₂, but positively correlated with fibrinogen, PSI, and 3D EIT ventilation indices. Among these, CT score showed the strongest correlation with PVBR (r=0.696).Conclusion 3D CT-EIT composite imaging is feasible for rapid bedside functional assessment of CAP severity. PVBR, VDCE, and GVDI provide complementary information on the extent of ventilation blockage, the spatial redistribution of ventilation, and the temporal delay in ventilation, respectively. Among these indices, PVBR showed the best discriminatory performance and the strongest correlation with CT-defined lesion severity. Although 3D EIT cannot replace CT for structural diagnosis, it may serve as a practical radiation-free functional complement for bedside severity stratification, serial ventilation monitoring, and early clinical decision-making in patients with CAP.]]> 2026/8/7 4:31:51 2026/8/6 18:31:51 2026/8/6 16:05:10 2026/8/4 16:40:04 Objective Oxygen partial pressure (pO?) is a critical indicator of the tumor microenvironment and plays an essential role in regulating tumor progression and therapeutic response, particularly for oxygen-dependent treatments such as photodynamic therapy (PDT). Although photoacoustic imaging (PAI) has shown great potential for functional and molecular imaging, conventional oxygenation imaging approaches based on hemoglobin absorption mainly provide relative oxygen saturation information and cannot directly quantify tissue oxygen partial pressure. Therefore, this study aimed to develop a fast laser sequence-based pump-probe photoacoustic tomography (PP-PAT) system for quantitative, non-invasive, and dynamic monitoring of oxygen partial pressure in tumor tissues.Methods The proposed PP-PAT system was developed based on the oxygen-sensitive triplet-state lifetime characteristics of methylene blue (MB). Upon optical excitation, MB molecules undergo transitions from the ground state to an excited state and subsequently form metastable triplet states through intersystem crossing. The lifetime of the triplet state is strongly affected by surrounding oxygen concentration due to dynamic oxygen quenching, providing a direct correlation between triplet-state kinetics and local oxygen partial pressure. A dual-wavelength pump-probe excitation scheme was implemented to selectively interrogate MB triplet-state dynamics. The pump pulse was used to initiate the triplet-state population, while the delayed probe pulse was applied to detect the transient triplet-state response. By optimizing the temporal interval between the pump and probe pulses, transient triplet-state differential (TTD) signals were extracted to enhance the specificity of oxygen-dependent molecular information and suppress background interference from conventional photoacoustic signals. The performance of the PP-PAT system was systematically evaluated through phantom and in vivo experiments. First, a single-tube phantom containing MB solution was used to investigate signal stability, reproducibility, and the influence of signal averaging on imaging quality. Subsequently, a dual-tube phantom model was established to simulate oxygen consumption during PDT, where one MB-containing tube was exposed to laser irradiation and the other served as a control. Finally, in vivo experiments were performed using a subcutaneous tumor model in nude mice. MB was locally injected into the tumor region before imaging to evaluate the feasibility of tumor oxygen partial pressure mapping using the proposed PP-PAT system.Results Phantom experiments demonstrated that the extracted TTD signals exhibited high stability and effectively reflected MB triplet-state dynamics while reducing non-specific background contributions. Signal averaging significantly improved the signal-to-noise ratio, and 50 repeated acquisitions provided an optimal compromise between image quality and acquisition efficiency. In the dual-tube phantom experiments, continuous PDT irradiation induced progressive oxygen depletion in the treated sample. The corresponding TTD decay rate gradually decreased, accompanied by an increase in the calculated triplet-state lifetime, indicating reduced oxygen quenching and decreased oxygen partial pressure. In contrast, the control sample showed relatively stable TTD kinetics and oxygenation levels during the same period. These results demonstrated that PP-PAT could quantitatively characterize oxygen consumption dynamics associated with photochemical reactions. In vivo experiments further demonstrated the capability of PP-PAT for spatially resolved oxygen partial pressure imaging in MB-injected tumor tissues. The reconstructed pO? maps revealed heterogeneous oxygen distributions within tumors, showing relatively hypoxic regions in the tumor core and higher oxygenation levels near the tumor boundary. This spatial oxygen distribution pattern was consistent with the typical physiological characteristics of solid tumors, where abnormal vascular structures and limited oxygen diffusion result in intratumoral oxygen gradients.Conclusion This study presents a fast laser sequence-based PP-PAT system capable of quantitative and non-invasive imaging of tissue oxygen partial pressure. By utilizing the oxygen-dependent triplet-state lifetime of MB and extracting TTD signals, the proposed method provides molecularly specific information related to oxygen dynamics beyond conventional photoacoustic oxygenation imaging. The system enables dynamic monitoring of oxygen consumption during PDT and reveals spatial oxygen heterogeneity within tumors. This technique provides a promising imaging approach for tumor hypoxia characterization, evaluation of oxygen-dependent therapeutic responses, and precision-guided cancer treatment.]]> 2026/8/1 16:04:41 via multiple transcytosis pathways including adsorptive-mediated, receptor-mediated and transporter-mediated routes, opening a promising avenue for targeted AD treatment. A core academic viewpoint proposed herein is that robust in vitro endothelial penetration of nanocarriers cannot guarantee effective accumulation in brain target cells. Comprehensive evaluation of BBB-crossing delivery efficiency should not merely rely on in vitro permeability tests, but cover the full multi-step transcytosis cascade, cellular tropism in brain tissues and in vivo therapeutic outcomes. This review systematically sorts out diverse nanoplatforms applicable to BBB penetration for AD intervention. Inorganic nanomaterials such as gold and ceria nanoparticles possess large specific surface areas and intrinsic antioxidant capacity, which eliminate reactive oxygen species and hinder Aβ fibrillization. Liposomal formulations and solid lipid nanoparticles exhibit superior biocompatibility with biomimetic phospholipid bilayer architectures, capable of co-loading hydrophilic nucleic acids for Tau regulation and lipophilic Aβ inhibitors; relying on receptor-mediated transcytosis, they achieve sustained drug retention in the brain. Polymeric nanocarriers including nanogels and polyamidoamine dendrimers enable multi-target combinatorial therapy, and can be engineered to release cargo in response to inflammatory microenvironments, thereby suppressing excessive microglial activation and protecting neuronal mitochondria. Beyond conventional nanocarriers, this work elaborates two cutting-edge BBB-crossing delivery platforms: biomimetic nanosystems and metal-organic frameworks (MOFs). Biomimetic nanoparticles camouflaged with erythrocyte, platelet or macrophage membranes, as well as natural exosomes, evade immune clearance, prolong systemic circulation and inherently home to inflammatory lesions. Serving as "nano-decoys", they neutralize Aβ neurotoxins and remodel cerebral inflammatory microenvironments simultaneously. MOFs feature high porosity and customizable pore channels for co-delivery of multiple therapeutics, and can be integrated with near-infrared photothermal and photooxidation modalities to facilitate focal brain lesion therapy. This review highlights a transformative paradigm shift in the field of BBB-targeted AD therapy: research focus has shifted from simply maximizing cerebral drug penetration toward active modulation and functional restoration of the BBB. Impaired BBB transporters intrinsically impede endogenous Aβ clearance. Accordingly, BBB-regulating nanocarriers are designed to remodel the low-density lipoprotein receptor-related protein 1 (LRP1) trafficking cascade, redirecting endocytic vesicles from lysosomal degradation to non-degradable transcytosis and restoring the intrinsic Aβ efflux capacity of the BBB. Distinct from conventional strategies that only exert local lesion inhibition, this systemic clearance strategy eliminates cerebral Aβ deposits by accelerating peripheral excretion.]]> 2026/7/24 8:03:17 2026/7/23 10:43:48 2026/7/18 21:14:38 2026/7/18 20:13:56 2026/7/17 8:04:08 Nature used large-scale family-based whole-genome sequencing data to construct a high-resolution recombination map. This map revealed the mutational features induced by NCO—the dominant form of recombination—along with their sex-specific differences, and quantified, for the first time, the contribution of NCOs to de novo mutations and age-related effects, representing an important milestone in the field of meiotic recombination. Specifically, compared with paternal NCOs, maternal NCOs are fewer in number but span longer regions; they accumulate continuously with increasing maternal age and occur largely outside programmed recombination hotspots. NCOs also represent a major source of de novo mutations, with approximately 11% of maternal de novo mutations being attributable to NCOs. This study not only provides a high-resolution map of human meiotic recombination as a resource for future research, but also offers, for the first time, a genome-wide perspective on the contribution of meiotic NCO recombination to genetic diversity.]]> 2026/7/17 8:01:32 in vitro model in biomedical research, but its traditional culture relies on animal-derived basement membrane matrices, which suffer from batch-to-batch variability, undefined biochemical composition, and poorly controllable mechanical properties. Recent studies have confirmed that matrix stiffness, viscoelasticity, topography, and temporal mechanical dynamics play regulatory roles equally as critical as biochemical signals in stem cell self-organization, lineage specification, and functional maturation of organoids. This review systematically summarizes the progress in understanding how extracellular matrix (ECM) mechanical properties regulate organoid formation. Focusing on the YAP/TAZ factors and the integrin receptors, which engage in crosstalk with biochemical signals to synergistically determine cell fate. We then elaborate how specific mechanical parameters, such as stiffness, viscoelasticity, and topography, influence each distinct stage of organoid development, from initial aggregation and compaction, through proliferative expansion, to lineage-committed differentiation and terminal functional maturation. Appropriate stiffness facilitates efficient aggregation and symmetry breaking, while excessive rigidity impairs proliferation and accelerates cellular senescence. In hepatic organoid expansion where only stiffness matching liver tissue (~6.2 kPa) supported robust growth. Viscoelastic stress relaxation promotes integrin clustering, enhances focal adhesion maturation, and stimulates endogenous ECM deposition, thereby supporting self-organized crypt-villus architecture and basement membrane assembly. Notably, dynamic softening of hydrogels enables optimal crypt budding, whereas rapid stress relaxation permits nephron segment coiling and drives vascular organoid maturation toward arteriole differentiation, highlighting stress relaxation as a key temporal parameter. Topographical cues provide contact guidance that directs polarized outgrowth, lumen formation, and neuronal orientation, all of which are essential for achieving organotypic architecture. The embedded 3D printing of complex neural networks enables precise control over branching geometries, facilitating studies of morphogenesis under spatial constraints. The engineered mechanical microenvironments have been successfully applied to recapitulate disease phenotypes: stiff matrices induce fibrosis and epithelial-mesenchymal transition in liver organoids, promote chemoresistance in cholangiocarcinoma. Furthermore, we summarize engineering strategies for both natural and synthetic hydrogels aimed at creating mechanically defined culture platforms. Natural biomaterial modifications achieve spatial separation of mechanical constraints from biochemical support, enabling self-limited compressive stimulation within a defined time window. Synthetic polymers allow independent tuning of stiffness, ligand density, and viscoelasticity through adjustable crosslinking and dynamic non-covalent interactions, thus providing orthogonal control over multiple mechanical parameters. Dynamic microenvironments that mimic progressive stiffening as observed in development, tumor evolution, or fibrosis can be constructed using composites that undergo spontaneous structural transitions. In the future, critical challenges include deciphering the synergistic rules governing mechanical-biochemical interplay, developing spatiotemporally programmable hydrogels that enable on-demand modulation of local mechanics, establishing comprehensive databases of tissue-specific mechanical parameter windows, and advancing standardized high-throughput screening platforms to accelerate preclinical validation and clinical translation. Moreover, integrating real-time mechanical sensors and non-invasive imaging techniques would allow dynamic monitoring of intracellular forces and tissue-level stress during culture. Ultimately, this review aims to provide a theoretical foundation for deepening our understanding of mechano-biological coupling mechanisms and for rationally designing high-fidelity, physiologically relevant organoid culture platforms that fully harness the regulatory power of mechanical cues.]]> 2026/7/15 15:44:59 et al. refine this view by showing that depletion of Nipped-B-like protein (NIPBL), a key regulator of cohesin loading and loop extrusion, markedly disrupts architectural chromatin loops, whereas many cis-regulatory contacts and broad post-mitotic transcriptional reactivation are only modestly affected. These observations suggest that loop extrusion is important, but not sufficient, for explaining productive regulatory communication. In this Comment, we discuss how transcriptional condensate-like assemblies may provide an additional biochemical and kinetic layer that helps convert regulatory proximity into transcriptional output. By locally enriching transcription factors, coactivators, Mediator and RNA polymerase II (Pol II) around active loci, such regulatory hubs may stabilize productive enhancer–promoter encounters and modulate transcriptional activity. We further propose that transcriptional bursting provides a useful framework for understanding this conversion, because gene expression can be decomposed into burst frequency, burst duration and burst size. Integrating chromatin architecture, condensate organization and bursting dynamics may therefore provide a more complete view of how enhancer-promoter communication is re-established after mitosis and how regulatory proximity is converted into transcriptional output through mechanisms beyond loop extrusion.]]> 2026/7/15 15:32:52 2026/7/9 21:10:59 2026/7/9 14:52:54 2026/7/7 15:13:30 Objective The frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state.Methods We designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses.Results The comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions.Conclusion This study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.]]> 2026/7/6 23:17:29 2026/7/6 17:41:51 2026/7/3 20:52:10 miR-486 and miR-34b) carried by extracellular vesicles and particles (EVPs) in the circulation, thereby inhibiting tumor cell proliferation and migration by targeting cell cycle-related genes. Furthermore, exercise can remodel the immune microenvironment, enhance the cytotoxic activity of antitumor immune cells, and improve oxygen supply to tumor tissues, thereby alleviating hypoxia-induced immunosuppression. Finally, at the metabolic intervention level, exercise can induce systemic metabolic reprogramming, increasing the nutritional demands of normal tissues, thereby competing with tumor cells for nutrients and forming a “metabolic barrier” in distal organs such as bones. This article reviews the pathogenesis and classification of bone metastases, including osteolytic, osteogenic, and mixed types, and elaborates in detail on the complex processes by which tumor cells undergo colonization, dormancy, and reactivation within the bone microenvironment. Furthermore, based on a comprehensive analysis of human and animal studies on exercise interventions for bone metastases, this paper highlights the mechanisms by which exercise inhibits tumor formation, growth, and spread through the regulation of mechanical loading, extracellular vesicles and granules, as well as via immune and metabolic pathways, thereby interfering with bone metastasis. However, the array of exercise modalities and intensities available for patients grappling with the challenges of cancer-related bone metastases remains markedly constrained, and the formulation of tailored exercise prescriptions continues to be devoid of robust, evidence-based medical backing. This review aims to explore the effects of exercise on bone health in patients with bone metastases, analyze the factors and considerations that should be taken into account in exercise prescriptions, and provide new theoretical support and insights for developing personalized exercise programs for these patients and further advancing relevant clinical research. Future research directions should include the development of evidence-based, personalized exercise prescriptions and further clarification of the safety boundaries and best practice standards for exercise interventions, thereby promoting the advancement of relevant clinical research and ultimately improving patients’ clinical outcomes and quality of life.]]> 2026/6/30 9:19:22 2026/6/26 20:47:20 2026/6/26 20:42:22 Objective To address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill-posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low-to-high dimensional mapping process, this study proposes a multi-scale attention and dynamic sparse mask fusion network (MADS-Net). The proposed method aims to enhance high-resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast-screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging.Methods The proposed network adopts a strategy of "locate first, reconstruct later". It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion-level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small-sized target regions.Results Experimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as 0.060 6±0.031 6, and a PSNR of 23.893 9±2.685 3 dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference.Conclusion The results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model""s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.]]> 2026/6/26 17:08:48 in vivo spatial measurements of lysosomal functions, rational optimisation of combination therapy timings, and safety assessments in immunocompetent liver cancer models prior to clinical translation. Translation difficulties are also evident, such as insufficient tumour selectivity, pharmacokinetic limitations, compensatory lysosomal regeneration, toxicity to normal liver and immune cells, and a lack of validated predictive biomarkers. A new way will be found to use biomarkers to divide the patient group, optimize nanoparticles for better delivery, design specific schedules for combined treatments based on the problem they cause within the cell, etc., thereby overcoming drug resistance and reducing the harm patients suffer from toxic treatments. This system can help select biomarkers and rational drug pairs for the next round of lysosome-centred precision trials.]]> 2026/6/25 6:31:31 2026/6/24 23:06:51 2026/6/24 23:04:04 2026/6/23 8:39:17 Objective Transcranial focused ultrasound (tFUS) has emerged as a promising noninvasive neuromodulation technique capable of modulating neural activity with high spatial specificity. However, whether tFUS stimulation of the primary somatosensory cortex (S1) can reliably evoke conscious tactile perception without external peripheral sensory input remains unclear. Therefore, this study examined the feasibility of inducing hand-related tactile perception through targeted S1 stimulation and further investigated how sonication duration (SD), a key temporal parameter, influences the consistency of this perceptual response. The findings may provide empirical evidence for optimizing tFUS parameters in human somatosensory modulation.Methods Forty-eight healthy adults participated in the study and were assigned to two experiments. Experiment 1 included 24 participants and was designed to preliminarily examine whether S1-targeted tFUS could evoke hand-related tactile sensations. This experiment comprised two sub-experiments, Experiment 1a and Experiment 1b, with 12 participants in each. Specifically, Experiment 1a used a randomized active stimulation protocol targeting the bilateral S1 to assess the initial feasibility of inducing contralateral tactile perception, whereas Experiment 1b employed an alternating hemispheric design incorporating both active and sham stimulation to verify the specificity of the tFUS-induced sensations. Experiment 2 enrolled another 24 participants and used a real-sham dual-probe design to control for spatial tactile cues that might arise from probe-scalp contact. Five SD levels, including 200, 400, 600, 800, and 1 000 ms, were systematically tested to evaluate how stimulation duration influenced the behavioral response. The primary behavioral outcome was the perceptual consistency rate, quantified according to the accuracy of contralateral tactile localization.Results In Experiment 1, 91.7% of participants reported reliable hand-related tactile sensations during active tFUS stimulation, including numbness, tingling, or similar sensory experiences. Contralateral localization accuracy under active stimulation was significantly higher than the 0.50 chance level (P<0.05). In contrast, localization performance under sham stimulation did not differ from chance, suggesting that the observed tactile responses were mainly induced by active S1-targeted tFUS stimulation rather than nonspecific stimulation cues. In Experiment 2, perceptual consistency rates significantly exceeded the chance level under the 400 and 1 000 ms SD conditions (P<0.05), whereas no significant effect was observed at 200, 600, or 800 ms. Pairwise comparisons further showed that the 400 and 1 000 ms conditions produced significantly higher perceptual consistency rates than the 200 ms condition (P<0.05).Conclusion tFUS stimulation of S1 can elicit distinct hand-related tactile sensations without peripheral sensory input, demonstrating the feasibility of using targeted cortical ultrasound stimulation to induce conscious somatosensory perception. The reliability of this perceptual effect was modulated by sonication duration, indicating that temporal stimulation parameters play an important role in shaping both the occurrence and consistency of behavioral responses. Among the tested conditions, 400 ms appeared to provide a favorable temporal window for generating stable tactile perception, whereas excessively short stimulation may be insufficient to produce consistent responses. These findings highlight the sensitivity of somatosensory networks to ultrasonic modulation and provide useful parameter guidance for the application of tFUS in noninvasive sensory enhancement and cortical functional mapping.]]> 2026/6/19 20:25:37 Objective Multi-omics integration and analysis remain a major challenge in biomedical research. These tasks often require extensive coding skills and specialised bioinformatics expertise, which many biological and medical researchers do not have. Deep learning has emerged as a powerful approach for predictive modelling and data-driven discovery. However, most existing platforms focus only on traditional statistical analysis or basic machine learning. They do not combine deep learning support with standard statistical workflows. Moreover, none of them provide intelligent assistance to help with parameter tuning, error diagnosis, or result interpretation. To address this gap, we introduce AutoMATA, a fully code-free platform that streamlines multi-omics analysis from expression data to predictive modelling. AutoMATA is designed to lower the technical barrier for experimental biologists and clinical researchers who want to use advanced deep learning methods but lack programming experience.Methods AutoMATA''''s architecture is built around three core modules. The data processing and normalisation module automates essential steps such as gene and protein ID conversion and data normalisation. This module also allows users to integrate multi-omics data. The statistical analysis and visualisation module offers important and commonly used functions including differential expression analysis, principal component analysis, correlation analysis, and pathway enrichment for both GO and KEGG. Users can adjust thresholds and choose output formats for publication. The deep learning module provides twelve neural network architectures covering supervised, unsupervised, and semi-supervised learning. These include Multilayer Perception (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Transformer, Autoencoder, Variational Autoencoder (VAE), Radial Basis Function Neural Network (RBFNN), Self-Organising Map (SOM), DeepCluster, Pseudo-Labeling, and Ladder Network. Users can customise key settings including epoch, regularisation method, regularisation weight, dropout rate, and feature selection method. Two training strategies (train-validation-test split and stratified K-fold) are available. In addition, two Artificial Intelligence (AI) agents, DeepSeek and Qwen, are integrated into the platform. These agents answer user questions about parameter suggestion, task failure diagnosis, and result interpretations based on the actual task context and platform logic.Results We demonstrate AutoMATA in three case studies using public datasets. First, for colon adenocarcinoma data, AutoMATA reproduces gold-standard differential expression and clustering results. It correctly identifies known upregulated genes such as CXCL3 and CXCL8, and visualises enriched pathways. This confirms that AutoMATA''''s statistical module works as reliably as existing tools. Second, using multi-omics data for bladder, pancreatic, and stomach cancers, AutoMATA''''s deep learning module predicts cancer recurrence with good performance. Recurrent neural networks achieve the best results, with accuracy above 79% for stomach cancer. The platform also reproduces known biomarkers such as CDK6 in bladder cancer. Third, for breast cancer subtype classification, AutoMATA achieves 88.2% accuracy using a tuned RNN model. This performance is better than traditional machine learning methods like logistic regression and random forest. The AI agents provide on-demand assistance, helping users understand why certain models perform better, suggest parameter adjustments, and explain the biological meaning of the output. This makes the platform especially useful for non-experts.Conclusion By offering advanced multi-omics integration, comprehensive statistical analysis, flexible deep learning modelling options, and built-in AI agents, AutoMATA empowers researchers to extract meaningful biological insights and build robust predictive models without writing any code. The platform and source code are freely accessible athttps://github.com/ABILiLab/AutoMATA.]]> 2026/6/18 17:56:14 Objective Cell adhesion is a critical process that regulates cellular physiological functions. Quantitative characterization of adhesion dynamics is essential for elucidating the intrinsic mechanical mechanisms underlying cellular activities. Although atomic force microscopy-based single-cell force spectroscopy is widely used for single-cell adhesion measurements, it requires complex chemical modifications for preparation of live-cell probes, leading to limitations such as cumbersome operation, low throughput, and potential impacts on cell viability. Fluidic force microscopy, which combines atomic force microscopy with microfluidic probes, is a technique allowing the operation of force-controlled nanopipettes in aqueous environments. By applying negative or positive pressure via a pressure controller, a single living cell can be captured onto or released from the cantilever under physiological conditions. This procedure offers a simple workflow and high assay throughput for single-cell adhesion measurements without the need for chemical functionalization. In this study, fluidic force microscopy-based single-cell force spectroscopy was adopted to achieve long-term quantitative characterization of single-cell adhesion dynamics in a simpler and more efficient manner, comparing the dynamic differences in adhesion establishment between two cell lines with different differentiation levels.Methods HEK 293T and hTERT RPE-1 cells were non-invasively captured on the cantilever of a fluidic force microscope via its integrated microfluidic system during 40 h of adhesion culture. Cell-substrate detachment assays were performed, and force-distance curves were recorded to extract key mechanical adhesion parameters, including adhesion force, adhesion energy, and maximum detachment distance. These measurements were combined with real-time monitoring of cell spreading area to systematically characterize the dynamic evolution of single-cell adhesion.Results hTERT RPE-1 cells rapidly entered a stable adhesion phase within 1 h after seeding, with both area-normalized adhesion force and area-normalized adhesion energy reaching peak values. In contrast, HEK 293T cells required 4 h to achieve stable adhesion. Subsequently, the adhesion force, adhesion energy and maximum detachment distance of hTERT RPE-1 and HEK 293T cells stabilized at approximately 240 nN vs. 30 nN, 2.2 pJ vs. 0.12 pJ and 6 μm vs. 4 μm, respectively. hTERT RPE-1 cells reached the peak of area-normalized adhesion parameters earlier than HEK 293T cells, with their peak area-normalized adhesion force and area-normalized adhesion energy being substantially elevated relative to HEK 293T cells. HEK 293T cells presented stronger linear correlations among adhesion energy, maximum detachment distance and adhesion force compared with hTERT RPE-1 cells. For both cell lines, cell spreading area exhibited a weak correlation with adhesion force. Whereas the area-normalized adhesion parameters of HEK 293T cells remained relatively constant throughout the adhesion process, hTERT RPE-1 cells exhibited elevated values in the early phase, followed by a gradual decline. These results indicated distinct dynamic adhesion patterns between the two cell types, with hTERT RPE-1 cells exhibiting stronger adhesion strength and higher adhesion efficiency.Conclusion In this study, fluidic force microscopy-based single-cell force spectroscopy was successfully applied to perform long-term in situ quantitative measurement of the adhesion dynamics in single adherent cells. The approach revealed divergent adhesion patterns between HEK 293T and hTERT RPE-1 cells, suggesting a close association between cell differentiation and adhesion behaviors. These findings provide quantitative mechanical evidence for further understanding the underlying mechanisms of cell adhesion.]]> 2026/6/18 16:24:36 Objective Type I interferon (IFN-I) signaling is essential for antiviral innate immunity, yet its sustained or excessive activation contributes to the pathogenesis of several autoimmune diseases and interferonopathies, such as systemic lupus erythematosus and Aicardi-Goutières syndrome. Current strategies targeting this pathway, exemplified by JAK inhibitors, act mainly on downstream signal transduction and provide limited direct control over upstream IFN-I production, while also carrying the risk of broad immunosuppression. Phyllanthus emblica L. has long been used in traditional medicine for inflammatory disorders, but the bioactive constituent responsible for its regulation of IFN-I signaling and the underlying molecular mechanism have not been clearly defined. This study aimed to identify the active anti-inflammatory component of P. emblica and to characterize its mechanism of action on the IFN-I pathway in macrophages.Methods Active components of P. emblica and their candidate targets were screened by network pharmacology using the TCMSP and DrugBank databases (oral bioavailability≥30%, drug-likeness≥0.18) and intersected with inflammation-related genes retrieved from public databases. The predicted interaction between EGCG and IFN-I pathway proteins (TBK1, IRF3, STAT1) was evaluated by molecular docking, with BX795 and GSK8612 used as reference TBK1 inhibitors. Mechanistic experiments were performed in THP-1-derived macrophages and primary bone marrow-derived macrophages (BMDM). Upstream signaling was activated by transfection of the nucleic acid analogs poly(I∶C) and poly(dA∶dT) or by lipopolysaccharide (LPS) stimulation, whereas downstream signaling was activated by exogenous IFN-β. An siRNA-mediated TREX1 knockdown model was used to mimic endogenous nucleic acid-driven interferonopathy. Expression of IFN-β1 and interferon-stimulated genes (ISGs) was measured by RT-qPCR, protein phosphorylation by Western blot, and IFN-β secretion by ELISA. Cellular thermal shift assay (CETSA) and drug affinity responsive target stability (DARTS) were used to probe the interaction between EGCG and IRF3.Results Network pharmacology identified (-)-epigallocatechin-3-gallate (EGCG) as a candidate IFN-I-suppressive constituent of P. emblica, with predicted binding to TBK1, IRF3, and STAT1. Molecular docking yielded binding energies of -9.2, -7.2, and -8.2 kcal/mol for TBK1, IRF3, and STAT1, respectively, indicating an affinity for TBK1 comparable to that of the reference inhibitors BX795 (-5.7 kcal/mol) and GSK8612 (-6.4 kcal/mol). EGCG suppressed IFN-β1 and ISG mRNA expression under poly (I∶C), poly (dA∶dT), and LPS stimulation in both THP-1 macrophages and BMDM. At the protein level, EGCG reduced the phosphorylation of TBK1 and IRF3 without affecting the levels of the upstream sensors cGAS and RIG-I, and lowered IFN-β secretion in a concentration-dependent manner. CETSA and DARTS showed that EGCG did not enhance the thermal stability or protease resistance of IRF3, indicating that its effect on IRF3 is indirect. Following IFN-β stimulation, prolonged EGCG treatment reduced STAT1 phosphorylation in a time-dependent manner without an apparent change in IRF9, and partially attenuated ISG transcription; this effect was not monotonicly concentration-dependent, and CXCL10 showed the most consistent suppression. In TREX1-knockdown cells, the elevated mRNA levels of ISG15, ISG56, and CXCL10 were reduced by EGCG.Conclusion EGCG suppresses IFN-I responses by concurrently inhibiting TBK1-IRF3-dependent IFN-β production and JAK-STAT1-mediated downstream transcription. These in vitro findings provide a mechanistic basis for the anti-inflammatory use of P. emblica in traditional medicine and identify EGCG as a candidate for further evaluation in interferon-driven autoimmune disease models.]]> 2026/6/17 11:05:14 2026/6/15 13:32:56 2026/6/15 13:25:09 2026/6/13 8:47:28 2026/6/13 8:45:12 e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.]]> 2026/6/11 16:58:50 2026/6/10 11:09:02 2026/6/10 10:19:53 i.e., dietary lipid intake plans tailored to an individual’s unique microbiome profile) and targeted microbiome modulation therapies (such as next-generation probiotics, prebiotics, or specific metabolite supplements). Targeting the gut as a “reactor” to treat vascular wall lesions represents a promising direction for future cardiovascular medicine.]]> 2026/6/7 10:41:40 2+) stands out due to its unique ability to simultaneously disrupt energy metabolism, damage mitochondria, degrade mutant p53, and activate antitumor immunity. Notably, tumor cells exhibit greater sensitivity to Zn²⁺ overload while normal cells maintain higher tolerance. This review systematically summarizes design strategies for achieving “zinc overload” using biodegradable zinc-based nanomaterials, focusing on two fundamental questions: how to specifically deliver Zn²⁺ to tumors (targeted delivery), and how to trigger controlled release at the tumor site (release strategies). Current challenges are critically analyzed and future perspectives are offered. For targeted delivery, the strategies are categorized into passive, active, and biomimetic approaches. Passive targeting relies on the enhanced permeability and retention (EPR) effect but suffers from poor enrichment efficiency and rapid clearance. Active targeting conjugates ligands (e.g., folic acid, hyaluronic acid) to recognize overexpressed receptors, significantly enhancing cellular uptake. It is emphasized that hyaluronic acid-modified ZIF-8 can co-deliver siRNA for GLUT1 silencing, achieving systematic energy exhaustion. Biomimetic delivery using cell membranes confers immune evasion, prolonged circulation, and homologous targeting, exhibiting the lowest off-target toxicity. This approach is considered to guide future nanocarrier design. For Zn²⁺ release, 4 mechanisms are discussed. Endogenous environment-responsive release exploits acidic pH to degrade materials like ZIF-8 or ZnO, causing mitochondrial dysfunction, reactive oxygen species (ROS) burst, and autophagic blockade. Incorporation of other ions (Ca²⁺, Mn²⁺, Ni²⁺) enables synergistic metabolic interference and immune activation. Exogenous responsive release using near-infrared light offers spatiotemporally precise activation. For example, a nanorobot combining black phosphorus with ZIF-8 accelerates Zn²⁺ release under dual acid and light stimuli. Ion exchange represents an elegant trigger: zinc complexes (e.g., Zn-carnosine) have higher affinity for Cu²⁺; competitive coordination releases Zn²⁺ while depleting Cu²⁺, dually inhibiting oxidative phosphorylation and glycolysis. This mechanism is proposed to hold promise for overcoming metabolic reprogramming. Finally, biological regulation—silencing the ZnT1 zinc transporter to block Zn²⁺ efflux—represents a paradigm shift from passive delivery to active homeostatic disruption. This “block and attack” strategy may prevent acquired resistance. The therapeutic consequences of zinc overload are multifaceted. Zn²⁺ causes lysosomal membrane permeabilization and impaired SNARE complex formation, blocking autophagic flux and inducing a distinct cell death termed “zincosis”. In mitochondria, Zn²⁺ inhibits glutathione reductase, causing oxidative stress and electron transport chain blockade. Meanwhile, Zn²⁺ suppresses glycolytic enzymes (GAPDH, LDHA), leading to ATP depletion and reversing drug resistance by downregulating P-glycoprotein. Moreover, zinc overload triggers immunogenic cell death, promoting dendritic cell maturation and CD8⁺ T cell infiltration. Combined with cGAS-STING activation, this reshapes the immunosuppressive tumor microenvironment and inhibits distant metastasis. These interconnected mechanisms endow zinc overload with a unique advantage over single-modality treatments. Despite remarkable preclinical efficacy, challenges remain: systemic toxicity from off-target release, potential zinc tolerance via metallothionein upregulation, and insufficient pharmacokinetic data. Future directions should prioritize: (1) intelligent stimuli-responsive materials; (2) combination with immune checkpoint inhibitors; (3) theragnostic integration; (4) deeper mechanistic studies; and (5) artificial intelligence-assisted screening. Zinc overload therapy is expected to become an indispensable component of integrated tumor treatment.]]> 2026/6/4 9:50:18 Objective To investigate the novel post-translational modifications (PTMs) of SnRK2.6, a central component in the abscisic acid (ABA) signaling pathway, such as SUMOylation, and to establish a foundation for revealing the physiological functions and molecular mechanisms of SnRK2.6 regulated by these new modifications.Methods The interaction between SnRK2.6 and the SUMO E3 ligase SIZ1, as well as members of the SUMO protease family, was examined using yeast two-hybrid and in vitro pull-down assays. An in vitro SUMOylation system in Escherichia coli was utilized to determine whether SnRK2.6 undergoes SUMOylation. Mass spectrometry, combined with site-directed mutagenesis of candidate lysine residues, was employed to identify potential SUMOylation sites on SnRK2.6. In vitro de-SUMOylation assays were performed to assess whether SUMO proteases interacting with SnRK2.6 could catalyze the removal of SUMO moieties from modified SnRK2.6. The protein stability of SnRK2.6 was assessed in a cell-free degradation assay using bacterial-purified SnRK2.6 incubated with total protein extracts from Col and siz1 mutant seedlings. To dissect the genetic relationship between SnRK2.6 and SIZ1, stomatal aperture assays were performed under ABA treatment using snrk2.6, siz1, and snrk2.6 siz1 double mutant plants.Results SnRK2.6 physically interacts with SIZ1 and the SUMO protease ESD4, with the binding domains localized to the C-terminal region of SIZ1 and the N-terminal region of ESD4, respectively. SnRK2.6 was found to be SUMOylated, exhibiting two distinct high-molecular-mass bands ranging from 70 to 100 ku, indicative of modified forms. Bioinformatics analysis predicted four putative SUMOylation sites on lysine residues K57, K63, K142, and K190. Mass spectrometry identified three SUMOylation sites on K63, K142, and K174. However, individual or combinatorial point mutations on these sites had minimal impact on the pattern or intensity of SUMOylation signals, suggesting that these residues may not be responsible for the SUMOylation on SnRK2.6. Instead, such mutations only weaken the protein stability or accelerate the protein mobility of SnRK2.6. Therefore, the exact SUMOylation sites on SnRK2.6 remain unidentified. In de-SUMOylation experiments, incubation of GST-ESD4 with SUMOylated SnRK2.6 for 1-2 h led to the near-complete disappearance of both SUMOylated bands. In contrast, neither the GST control nor the catalytically inactive mutant GST-ESD4^C448S exhibited any de-SUMOylation activity. In protein turnover experiments, SnRK2.6 exhibited markedly enhanced half-life in siz1 compared with Col, indicating that SIZ1-dependent SUMOylation promotes SnRK2.6 turnover. Phenotypically, snrk2.6 mutants were completely insensitive to ABA-induced stomatal closure; siz1 mutants displayed pronounced hypersensitivity; and the snrk2.6 siz1 double mutant phenocopied snrk2.6—showing no significant response to ABA beyond that of the snrk2.6 mutant. These data indicate that SIZ1 acts as a negative regulator of ABA-triggered stomatal closure and SnRK2.6 functions as a positive regulator, and the inhibitory activity of SIZ1 is strictly dependent on SnRK2.6, placing SnRK2.6 genetically upstream of SIZ1 in the ABA signaling pathway.Conclusion SnRK2.6 undergoes SUMOylation, although the specific SUMOylation sites have not been defined. SnRK2.6 is dynamically regulated by reversible SUMOylation—catalyzed by SIZ1 and reversed by ESD4—which controls its protein stability. SUMOylation acts as a destabilizing signal for SnRK2.6, and SIZ1 exerts its negative effect on ABA-triggered stomatal closure probably through promoting SnRK2.6 degradation via SUMOylation. These findings uncover SUMOylation as a critical regulatory layer fine-tuning SnRK2.6 abundance in ABA signaling.]]> 2026/6/3 7:43:15 Objective In order to address the challenge of rapid diagnosis in pulmonary diseases, this paper proposes a cross-modal fusion method based on the Cross-modal Transformer (CMT) that integrates respiratory sounds (RS) and electrical impedance tomography (EIT), with the aim of improving the accuracy and robustness of multi-classification tasks. RS encodes the acoustic characteristics of the airways via the Meyrieh spectrogram, whilst EIT depicts regional lung ventilation distribution through spatio-temporal image sequences. The two modalities are naturally complementary in terms of functional and spatial information, providing a physiological basis for multimodal fusion diagnosis.Methods A dual-branch feature extraction framework was constructed, employing Convolutional Neural Networks (CNNs) to extract local features from RS time-frequency spectra and EIT ventilation images, whilst utilising Bidirectional Long Short-Term Memory Networks (BiLSTMs) to model the temporal dependencies across modalities. The development of a transformer-based cross-modal attention fusion module represents a significant advancement in the field. The module utilises a multi-head self-attention mechanism and gated convolutional units to achieve deep semantic alignment and complementary information fusion between RS acoustic features and EIT spatial ventilation features. The model employs an end-to-end joint optimisation strategy, with a cross-entropy loss function supervising the overall training process, and utilises a time-synchronisation mechanism to ensure strict alignment of the dual-modal inputs within the respiratory cycle. The proposed CMT method was subjected to systematic experimental validation on two datasets: The BRACETS dataset (three-class classification, 795 samples) and the CleftPalate dataset (two-class classification, 549 samples) are the focus of this study. Quantitative evaluation was performed using accuracy, balanced accuracy (BAcc) and macroF1 score.Results On the BRACETS dataset, the CMT method achieved an accuracy of 87.21%, a balanced accuracy (BAcc) of 88.24%, and a macroF1 score of 87.40%. In comparison to the optimal baseline method, DCNN, the macroF1 score exhibited an enhancement of 8.73 percentage points, thereby substantiating a substantial performance superiority. The findings of the ablation experiments suggest that the three core modules – CNN, BiLSTM and Transformer – all contribute to performance enhancements. Upon the removal of these modules, the MacroF1 score decreased by 1.84%, 1.13% and 2.20%, respectively. Among these, the Transformer cross-modal fusion module had the most significant impact, validating its crucial role in the interaction of heterogeneous modal information. Hyperparameter sensitivity analysis indicates that the optimal parameter configuration is a sequence length of T=128 and a feature dimension of d=128, achieving a good balance between classification performance and computational efficiency. Sequences that are insufficiently extensive or dimensions that are unduly limited impede the capacity to adequately represent temporal dynamics, whilst excessively protracted sequences may engender superfluous information. On the CleftPalate dataset, the CMT method achieved an accuracy of 96.58%, a BAcc of 96.60%, and a MacroF1 of 96.56%, representing a further improvement of 2.51 percentage points compared to the DCNN. This result validates the model""s generalisation capability across different data distributions and task scenarios. The fusion representation learned by CMT has been shown to exhibit tighter intra-class cohesion and clearer inter-class separation boundaries, as evidenced by feature visualisation and case studies (Smith et al., 2022). The system has the capacity to adaptively aggregate effective features when the reliability of multimodal information is uneven, and can maintain correct classification even when ambiguity exists in a single modality.Conclusion The proposed method effectively achieves deep fusion of heterogeneous modal information from RS and EIT, fully exploiting the physiological complementary relationship between respiratory airflow acoustic features and regional lung ventilation distribution. The model displays excellent classification performance and stability across various data distributions and task scenarios, thus providing a novel technical pathway for the non-invasive intelligent diagnosis of pulmonary diseases.]]> 2026/6/2 14:18:02 Objective Migraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes.Methods This study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session.Results In Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (all Q<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance (R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS.Conclusion This study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.]]> 2026/6/2 12:10:02 2026/5/31 22:40:09 2026/5/31 17:03:39 Cell the first structural elucidation of how microtubules regulate immune responses by “sequestering and releasing” the guanine nucleotide exchange factor GEF-H1 protein. This work addresses a central question in microtubule-mediated signal transduction, provides a conceptual and methodological framework for basic research, and offers new targets and strategies for cancer immunotherapy and targeted drug development.]]> 2026/5/30 21:52:46 GYS1 gene maps to chromosome 19q13.33, comprises 16 exons, and encodes a 737-amino-acid polypeptide that is highly conserved across mammals. GYS1 activity is subject to multilayered and precisely coordinated regulation. At the transcriptional level, the GYS1 promoter contains a hypoxia response element (HRE) that mediates HIF-1α-dependent induction under low-oxygen conditions, as well as a muscle-specific enhancer harboring MEF2 and MyoD binding sites that confers tissue-restricted expression. At the post-translational level, a hierarchical phosphorylation cascade serves as the primary activity switch: glycogen synthase kinase 3β (GSK3β) sequentially phosphorylates four C-terminal serine residues following casein kinase II priming, while protein kinase A (PKA) and AMP-activated protein kinase (AMPK) provide parallel inhibitory inputs at both N- and C-terminal sites. Dephosphorylation and reactivation are mediated by protein phosphatase 1 (PP1) through tissue-specific glycogen-targeting regulatory subunits such as PPP1R3A and PPP1R3B, which anchor PP1 to glycogen particles and direct its activity toward GYS1. The allosteric activator glucose-6-phosphate (G6P) binds at the dimer interface, simultaneously enhancing catalytic efficiency and promoting dephosphorylation susceptibility, thereby establishing a feed-forward activation loop that couples substrate availability to glycogen synthesis. Beyond phosphorylation, GYS1 is regulated by ubiquitination (mediated by the E3 ligase PJA1), acetylation, O-linked β-N-acetylglucosamine (O-GlcNAc) modification, and SUMOylation, which collectively modulate protein stability, subcellular localization, and protein-protein interactions. Epigenetic mechanisms, including CpG island methylation and histone acetylation dynamics, govern chromatin accessibility at the GYS1 locus, while muscle-specific microRNAs such as miR-1 and miR-206 fine-tune GYS1 expression at the post-transcriptional level. Dysregulation of GYS1 has been identified as a central pathogenic driver in a spectrum of human diseases. In inherited glycogen storage disorders—including Lafora disease, adult polyglucosan body disease (APBD), and Pompe disease—loss of upstream regulatory control leads to GYS1 hyperactivation and the accumulation of structurally abnormal or excessive glycogen, resulting in progressive neurodegeneration, myopathy, and multiorgan dysfunction. In type 2 diabetes mellitus (T2DM), impaired insulin signaling through the PI3K-AKT-GSK3β axis maintains GYS1 in a hyperphosphorylated inactive state in skeletal muscle, compromising postprandial glucose disposal and exacerbating hyperglycemia. In oncology, GYS1 exhibits context-dependent roles across multiple cancer types. In hepatocellular carcinoma, FMO2⁺ cancer-associated fibroblasts stabilize GYS1 by competitively inhibiting PJA1-mediated ubiquitination, and stabilized GYS1 subsequently activates NF-κB/CCL19 signaling to promote tertiary lymphoid structure formation and enhance anti-PD-1 immunotherapy responsiveness. In clear cell renal cell carcinoma, GYS1 promotes tumor progression through non-canonical NF-κB pathway activation via the scaffold protein RPS27A. In triple-negative breast cancer, GYS1 has been identified as a trigger of disulfidptosis and an activator of NF-κB signaling through non-enzymatic facilitation of IκBα degradation. In colorectal cancer, mitochondrial fission deficiency drives AMPK-dependent GYS1 upregulation and glycogen accumulation as a compensatory survival mechanism, while in cervical cancer, GYS1-maintained glycogen reserves fuel the pentose phosphate pathway to generate NADPH for ROS clearance, thereby conferring cisplatin resistance in cancer stem cells. Therapeutic strategies targeting GYS1 have gained substantial momentum across these disease contexts. For glycogen storage disorders, antisense oligonucleotides, small interfering RNAs (e.g., ABX1100), and small-molecule inhibitors (e.g., MZ-101) have demonstrated preclinical and early clinical efficacy in reducing pathological glycogen accumulation. For T2DM, pharmacological activation of GYS1 through GSK3β inhibition or enhancement of PP1-mediated dephosphorylation is being explored to restore insulin-stimulated glycogen synthesis. In cancer, GYS1-directed interventions—including targeted silencing to sensitize tumors to chemotherapy and immune microenvironment modulation to enhance immunotherapy—represent emerging precision oncology approaches. This review provides a comprehensive and integrated account of GYS1 gene structure, tissue-specific distribution, regulatory networks, and pathogenic roles in metabolic disorders and malignancies, with the aim of establishing a theoretical framework for the development of GYS1-targeted precision therapies.]]> 2026/5/28 21:39:35 Cell has uncovered a novel functional dimension of DCs. Beyond their classical roles in antigen presentation and T cell priming, DCs dynamically regulate the spatiotemporal organization of innate and adaptive immune responses within lymph nodes. During early type I immune responses, tissue-resident DC2s recruit innate immune cells and promote their trafficking, effectively limiting pathogen spread; however, this comes at the cost of disrupting lymph node architecture and suppressing the initiation of adaptive immunity. Following effective pathogen restraint, DCs shift their role to mediate the removal of apoptotic neutrophils and facilitate the restoration of lymph node structure, thereby reinstating adaptive immunity. These findings suggest that a deeper understanding of subset-specific regulatory networks of DCs in various immune contexts may enhance the precision and efficacy of DC-targeted immunotherapies.]]> 2026/5/25 11:00:44 Objective Frozen shoulder (FS) is a debilitating musculoskeletal disorder characterized by persistent inflammation and progressive fibrosis of the glenohumeral joint capsule, leading to pain and severely restricted range of motion. Given the limited efficacy of current pharmacotherapies, there is an urgent need for novel anti-fibrotic agents. Guyanxiao Tincture (GYX), a traditional Chinese herbal formula, has shown clinical benefits in alleviating FS symptoms. However, its bioactive constituents and the molecular mechanisms underlying its therapeutic effects remain poorly defined. This study aimed to systematically evaluate the therapeutic efficacy of GYX against FS and to elucidate the mechanisms by which GYX attenuates capsular fibrosis.Methods A Sprague-Dawley (SD) rat model of FS was established by immobilizing the unilateral shoulder with a plaster cast for 21 d. Following model induction, animals were administered with GYX or its serum-identified bioactive component, icariside F2. The absorbed prototype compounds of GYX in FS rat serum were profiled using ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Therapeutic effects were assessed by measuring shoulder range of motion (ROM), histopathological evaluation of the capsule via hematoxylin-eosin staining, and quantification of transforming growth factor-β1 content by ELISA. To explore the underlying mechanisms, transcriptomic profiling of the shoulder capsule was performed using RNA sequencing, and differentially expressed genes were validated by real-time quantitative PCR. Protein expression and localization were examined through immunohistochemistry, immunofluorescence, and Western blot. Protein-protein interaction networks were constructed to identify key regulatory hubs. In vitro, primary shoulder capsule fibroblasts were stimulated with TGF-β1 to induce a fibrotic phenotype and then treated with icariside F2. The expression of ACTC1, α-smooth muscle actin, and collagen I was subsequently measured.Results Serum pharmacochemistry analysis identified icariside F2 as the predominant circulating bioactive component of GYX in FS rats. Both GYX and icariside F2 treatment significantly improved the ROM and ameliorated histopathological lesions, including the attenuation of synovial hyperplasia, inflammatory infiltration, and excessive collagen deposition in the shoulder capsule. Consistently, elevated TGF-β1 levels in the model group were markedly reduced after the interventions. RNA sequencing revealed that actin alpha cardiac muscle 1 (ACTC1) was dramatically upregulated in the fibrotic capsule, accompanied by the enrichment of fibrosis-associated pathways such as TGF-β signaling, focal adhesion, and ECM-receptor interaction. Protein-protein interaction network analysis demonstrated that ACTC1 directly interacts with core fibrotic genes, including Col1a1, Col1a2, Thbs2, and Fn1. Critically, icariside F2 administration significantly reversed the aberrant overexpression of ACTC1 and suppressed the activation of the aforementioned fibrosis-related pathways in vivo. In TGF-β1-stimulated fibroblasts, icariside F2 dose-dependently downregulated ACTC1 at both the mRNA and protein levels and concurrently decreased the expression of the fibrotic markers α-smooth muscle actin and collagen I. Immunofluorescence and Western blot further confirmed that icariside F2 attenuated stress fiber formation and collagen production in vitro.Conclusion GYX and its bioactive component icariside F2 effectively alleviate the progression of frozen shoulder by inhibiting capsular fibrosis. Mechanistically, the therapeutic action is functionally linked to the suppression of ACTC1 and its downstream profibrotic signaling cascade, highlighting ACTC1 as a promising therapeutic target for the management of frozen shoulder.]]> 2026/5/24 10:19:29 Objective This study employs a special conformational engineering (CE) technology to construct an α-chymotrypsin-like active center, which includes a catalytic triad, an oxyanion hole, and a substrate-binding site, on silver nanoparticles (AgNPs), thereby creating an AgNP-based artificial hydrolase with high catalytic activity. This study provides a new approach for the design of highly efficient artificial enzymes and enzyme-mimicking.Methods AgNPs were chosen as the scaffold to build the an α-chymotrypsin-like active center. A special CE procedure enables the designed peptide, Triad5, to adopt an α-helical conformation on AgNPs, with the key catalytic residues located on one side of the α-helix forming a catalytic active center with a catalytic triad, an oxyanion hole, and a substrate-binding site. The CE procedure consists of three steps, including conformation induction via trifluoroethanol (TFE), conformation stabilization on AgNPs via Ag-S bonds, and TFE removal via lyophilization. Circular dichroism (CD) spectra were used to confirm the formation and stabilization of the α-helix conformation. Mutations of the key residues combined with stopped-flow kinetic experiments were used to demonstrate the indispensability of each key residue and the synergistic effects among the catalytic triad, the oxyanion hole, and the substrate-binding site.Results CD spectra show that the designed Triad5 alone is in random coil conformation; when conjugated on AgNPs, Triad5 still remains largely unstructured; but after the CE treatment, Triad5 adopts a typical α-helical conformation on AgNPs as designed, thus produces an AgNP-based artificial hydrolase, Silverzyme. Silverzyme exhibits extremely high hydrolytic activity towards p-nitrophenyl acetate (p-NPA), with an extremely high catalytic turnover number per active site of 3.5 s^-1, which is even higher than that of α-chymotrypsin. As a comparison, the AgNP-Triad5 conjugate without CE treatment shows much lower catalytic activity than Silverzyme, highlighting the important role of the right conformation of the active center for the catalytic activity and the power of the CE treatment. When the key residues of the catalytic triad of Silverzyme were mutated to alanine, the overall catalytic efficiency of this mutant dropped by about 2 orders of magnitude, unambiguously demonstrating the key role of the designed catalytic triad. Similarly, when the residues for the oxyanion hole were deleted, the mutant with the intact catalytic triad also showed significantly decreased catalytic activity, highlighting the indispensable role of the oxyanion hole for the catalytic activity. Unexpectedly, when both the catalytic triad and the oxyanion hole were kept intact, a slight change of the binding site also resulted in significantly decreased catalytic activity, indicating that the designed binding site is at the right position to align the substrate in the right orientation in the active center for catalytic hydrolysis. These results confirm the synergy among the catalytic triad, the oxyanion hole, and the substrate-binding site, indicating successful mimicking of the active center of α-chymotrypsin. Moreover, Silverzyme shows better thermal stability than α-chymotrypsin, and can even hydrolyze the tough non-activated ester diethyl phthalate, a priority pollutant by the United States Environmental Protection Agency (USEPA).Conclusion This study successfully mimicked the complex catalytic active center of α-chymotrypsin using a conformational engineering strategy, and produced a highly active artificial hydrolase with a well-defined structure and catalytic mechanism. The findings highlight the significant potential of conformational engineering.]]> 2026/5/23 10:07:21 Objective As a common lifestyle habit, alcohol consumption has a controversial association with the onset of Parkinson’s disease (PD). To demonstrate the correlation between alcohol consumption and PD and to identify associated genes, we integrated findings from clinical surveys, genomics, transcriptomics, and animal experiments.Methods We investigated the alcohol consumption rates (including both before and after disease onset) among 244 PD patients in China and 177 PD patients from the U.S. NHANES database. Mendelian randomization (MR) analysis was performed using genome-wide association study (GWAS) data for three alcohol-related traits and seven PD-related datasets from the MRC IEU OpenGWAS database. Transcriptomic data from the substantia nigra of PD patients were obtained from three GEO datasets (GSE7621, GSE20141, and GSE49036) to analyze RIT2 gene transcription. Finally, three groups of animal experiments (water/20% ethanol/20% liquor, with 4 C57BL/6J mice per group) were conducted to examine changes in brain RIT2 gene expression and transcriptomic profiles following alcohol consumption.Results The alcohol consumption rates among PD patients in China and the U.S. (9%-18.87%) were significantly lower than the general population rates of 15%-45% in their respective regions (P<0.001), suggesting a possible negative association between alcohol consumption and PD. Subsequently, in 21 bidirectional MR analyses using 3 alcohol-related GWAS datasets and 7 PD-related GWAS datasets, the forward MR analyses (alcohol intake as exposure, PD as outcome) yielded 12 negative associations (OR_IVW<1) and 9 positive associations (OR_IVW>1). Among these, only two negative associations reached statistical significance: alcohol intake frequency (OR_IVW=0.75, 95% CI: 0.60-0.93, P=0.010) and alcohol consumption (OR_IVW=0.20, 95% CI: 0.05-0.83, P=0.026). The forward MR analysis (alcohol intake→PD) identified 235 SNPs, annotated to 316 genes, while the reverse MR analyses (PD→alcohol intake) identified 37 SNPs, annotated to 53 genes. Notably, only the RIT2 gene appeared in both the forward and reverse MR analyses (alcohol intake→PD: rs28597806, rs8083110; PD→alcohol intake: rs4588066). RIT2 is selectively expressed in the human brain (FPKM: 5.259±2.103), with low or no expression in peripheral tissues (FPKM: <1). Analysis of three human substantia nigra transcriptomic datasets revealed a decreasing trend in RIT2 gene expression in PD patients (GSE20141 array signal: 3.49±1.23 vs. 2.33±0.87, P=0.044). Animal experiments demonstrated that administration of 20% ethanol or 20% liquor (approximately 8% ethanol) stimulated a >2-fold upregulation of RIT2 gene expression in the mouse brain. Furthermore, transcriptomic sequencing revealed that the two alcohol-treated groups exhibited 96 (20% ethanol vs. water control) and 4 (20% liquor vs. water control) differentially expressed genes, respectively, indicating that low-dose alcohol consumption can achieve RIT2 upregulation while minimizing impact on other brain genes. In addition to its anti-infective effects, low-dose alcohol consumption primarily influences signaling pathways related to neurodegenerative diseases such as PD and Prion diseases.Conclusion Alcohol consumption is generally considered as a harmful lifestyle habit. However, some studies have also shown a lower risk of mortality among individuals who consume low doses of alcohol (100 g/week of ethanol) or drink occasionally. Currently, one of the research focuses on alcohol consumption is whether the human body can benefit from low-dose alcohol intake. This study provides new evidence supporting a negative association between alcohol consumption and PD, and for the first time, through MR analysis, identifies the RIT2 gene as a potential mediator of the effect of alcohol consumption on PD. RIT2 is selectively expressed in the human brain. Building upon existing evidence indicating downregulated RIT2 gene expression in PD pathogenesis, our experiments confirm that low-dose alcohol consumption can upregulate RIT2 expression in the brain. In brief, alcohol consumption may suppress the pathogenesis of PD by upregulating RIT2 expression in the substantia nigra. China is facing a serious problem of population aging. This study offers important insights for long-term PD prevention and treatment strategies, with the aim of benefiting more potential PD patients through lifestyle modifications, thereby improving the quality of life of the aging population and reducing the economic burden on healthcare.]]> 2026/5/21 8:55:31 Objective This study aims to construct a reconstituted high-density lipoprotein (rHDL) delivery system loaded with kinsenoside (KD@rHDL), and to systematically evaluate its function in enhancing the phagocytosis of amyloid β-protein (Aβ) by microglia and improving the inflammatory state of microglia, as well as to preliminarily explore its potential application value in the treatment of Alzheimer’s disease (AD).Methods KD@rHDL was prepared by the film hydration method combined with probe sonication and co-incubation. Its morphology was observed by transmission electron microscopy, and the particle size and Zeta potential were measured by dynamic light scattering. The encapsulation efficiency and drug loading were determined by high-performance liquid chromatography. The affinity between KD@rHDL and Aβ was analyzed by surface plasmon resonance (SPR) to assess its feasibility as a medium for Aβ clearance. At the cellular level, after treating mouse microglial cells (BV-2 cells) with KD@rHDL and adding fluorescently labeled Aβ, the phagocytic efficiency of microglia for Aβ was detected by confocal microscopy. Meanwhile, the CCK-8 method was used to evaluate the effect of KD@rHDL on cell viability to determine its safety. The trans-barrier transport ability of KD@rHDL was detected by Transwell assay. The expression levels of NLRP3 inflammasome and downstream inflammatory factor IL-1β in LPS-induced microglia were detected by Western blot to evaluate the regulatory effect of KD@rHDL on the inflammatory state of cells.Results Characterization results showed that the successfully prepared KD@rHDL presented a typical discoid structure under transmission electron microscopy, with a uniform particle size distribution, an average particle size of approximately (14.4±0.24) nm, and a suitable negative Zeta potential, demonstrating good colloidal stability. The drug content determination results indicated that the encapsulation efficiency of KD@rHDL for kinsenoside was (42.24±1.30)%, and the drug loading was (6.03±0.19)%, indicating a good drug loading capacity. The CCK-8 assay results showed that in the set concentration range, the survival rates of BV2 and HT22 cells in the KD@rHDL treatment group were all above 90%, with no significant difference from the control group, indicating good cell safety of the formulation. The results of the Aβ phagocytosis experiment indicated that, compared with the Aβ oligomers (Aβo) group alone, the fluorescence signal intensity within microglia in the KD@rHDL treatment group was significantly enhanced, and a large amount of fluorescence-labeled Aβ was observed to accumulate intracellularly under a fluorescence microscope. The SPR assay results showed that rHDL had a strong affinity for Aβ, with an affinity constant reaching the nanomolar level. Transwell assay results indicated that KD@rHDL could effectively cross the bEnd.3 cell monolayer barrier and be taken up by BV2 and HT22 cells. Western blot assay results showed that high-dose KD@rHDL treatment could significantly reduce the expression level of NLRP3 protein in LPS-induced microglia and simultaneously down-regulate the maturation and secretion of IL-1β, indicating that KD@rHDL can effectively inhibit the activation of the NLRP3 inflammasome pathway and improve the neuroinflammatory state mediated by microglia.Conclusion This study successfully constructed a reconstituted high-density lipoprotein delivery system loaded with kinsenoside (KD@rHDL). This nano-delivery system not only significantly enhances the phagocytic clearance ability of microglia towards Aβ, but also effectively inhibits the NLRP3/IL-1β-mediated inflammatory pathway, improving the inflammatory state of microglia. The above results indicate that KD@rHDL has a synergistic effect in promoting Aβ clearance and alleviating neuroinflammation, demonstrating potential therapeutic value for AD and providing new ideas and experimental basis for the development of subsequent AD treatment strategies.]]> 2026/5/21 0:59:51 in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.]]> 2026/5/15 14:41:56 Objective Cerebral ischemic injury triggers a complex pathological cascade characterized by excessive reactive oxygen species (ROS) accumulation, persistent oxidative stress, and sustained neuroinflammation in the injured brain microenvironment. These events collectively drive mitochondrial dysfunction, microglial overactivation, pro-inflammatory cytokine release, and progressive neuronal apoptosis, ultimately leading to severe and irreversible neurological deficits. However, conventional therapeutic strategies face critical limitations, including poor blood-brain barrier penetration, insufficient local drug concentration, uncontrolled drug release, and off-target systemic side effects. To address this pathological process, we rationally designed and fabricated an injectable ROS-responsive hydrogel loaded with polydopamine nanoparticles (PDA NPs) for spatiotemporally controlled antioxidation, anti-inflammation, and neuroprotection in the ischemic injury microenvironment. The present study aimed to systematically characterize the physicochemical properties, ROS-responsive drug release behavior, biocompatibility, and neuroprotective efficacy of this composite hydrogel system in vitro.Methods PDA NPs were fabricated via oxidative self-polymerization. The ROS-responsive hydrogel was cross-linked using N1-(4-boronobenzyl)-N3-(4-boronophenyl)-N1,N1,N3,N3-tetramethylpropane-1, 3-diaminium (TSPBA) and polyvinyl alcohol (PVA). Morphology, particle size, Zeta potential, and structure of PDA NPs were characterized by dynamic light scattering (DLS), Zeta potential analysis, scanning electron microscopy (SEM), and transmission electron microscopy (TEM). Microstructure, rheological properties, shear-thinning behavior, and ROS-triggered release profiles of the hydrogel were examined by SEM and rheometry. Biocompatibility was evaluated using HT22 mouse hippocampal neurons with CCK-8 and live/dead staining. An oxygen-glucose deprivation/reoxygenation (OGD/R) model was established to simulate ischemic injury in vitro. ROS levels and neuronal apoptosis were detected by DHE staining and TUNEL assay. Microglial polarization and pro-inflammatory cytokine expression were analyzed using immunofluorescence and RT-qPCR in BV-2 microglia. Transwell co-culture was used to verify the indirect neuroprotection mediated by modulated microglia.Results Characterization results confirmed that the as-prepared PDA NPs were monodispersed spherical nanoparticles with uniform diameter and negative surface potential, demonstrating favorable dispersibility and robust ROS-scavenging activity. The TSPBA-PVA hydrogel exhibited a highly porous interconnected network, suitable mechanical strength, and obvious shear-thinning behavior, supporting its application as an injectable implant. More importantly, the hydrogel displayed typical ROS-responsive degradation and on-demand PDA NP release in a ROS-concentration-dependent manner. In vitro cellular experiments demonstrated that the PDA NP-loaded hydrogel possessed excellent biocompatibility with HT22 cells. In the OGD/R model, the hydrogel significantly reduced intracellular ROS accumulation and markedly suppressed neuronal apoptosis. Furthermore, the composite hydrogel effectively redirected BV-2 microglia from the pro-inflammatory M1 toward the anti-inflammatory M2 phenotypes, downregulated the expression of pro-inflammatory cytokines including TNF-α, IL-1β, and IL-6, and reduced inflammatory damage. Transwell co-culture assays further validated that M2-polarized microglia mediated by the hydrogel significantly enhanced the survival of OGD/R-injured HT22 neurons and attenuated apoptosis.Conclusion In this study, we successfully developed a novel injectable ROS-responsive hydrogel loaded with PDA NPs for synergistic antioxidative and anti-inflammatory neuroprotection. This intelligent hydrogel system enables ROS-triggered on-demand release of PDA NPs, efficiently scavenges excessive ROS, inhibits oxidative stress injury, modulates microglial polarization, and suppresses neuroinflammation, thereby exerting robust neuroprotective effects in vitro. This biomaterial platform provides a promising strategy for the targeted and controlled delivery of bioactive nanomaterials in the central nervous system diseases and establishes a solid experimental foundation for the development of in situ injectable therapies for ischemic brain injury.]]> 2026/5/14 19:41:23 2026/5/14 11:42:00 via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.]]> 2026/5/14 11:22:43 Objective Chronic atrophic gastritis (CAG) is usually diagnosed by gastroscopy and histopathological biopsy. These procedures remain the reference standard, but their invasive nature and resource requirements may limit their use in large-scale population screening and repeated follow-up. A convenient and reproducible method for noninvasive auxiliary screening may help identify individuals who require further endoscopic assessment. Fingertip photoplethysmography (PPG) provides a noninvasive recording of peripheral pulse waves and allows harmonic features to be extracted from the signal. In this study, the so-called meridian-related variables were defined as PPG-derived harmonic parameters labelled according to meridian nomenclature, rather than as direct measurements of meridian physiology. This study aimed to compare these harmonic parameters between patients with CAG and non-CAG controls, identify parameters that remained different after age adjustment, and develop a multivariable model for noninvasive auxiliary screening and pre-endoscopic risk stratification of CAG.Methods A total of 343 participants were included, comprising 171 patients with CAG and 172 non-CAG controls. CAG diagnosis was established using gastroscopy and histopathology as the reference standard. Fingertip PPG signals were collected using a PPG-based pulse acquisition device. Eight PPG-derived harmonic parameters labelled according to meridian nomenclature were extracted for analysis. Between-group differences were first assessed using nonparametric tests. Age-adjusted analyses were then performed to reduce potential confounding by age. The false discovery rate (FDR) method was applied for multiple-comparison correction. A multivariable logistic regression model integrating age and multiple harmonic parameters was constructed. Model performance was evaluated using receiver operating characteristic (ROC) analysis and the area under the curve (AUC). Internal validation performance was assessed using stratified five-fold cross-validation and bootstrap optimism correction. Threshold performance was examined using both a high-specificity strategy and a Youden index-based cutoff. Decision curve analysis was used to evaluate the model’s net clinical benefit across a range of threshold probabilities.Results All eight harmonic parameters were non-normally distributed. In the univariate analysis, the stomach-labelled harmonic parameter (ST), bladder-labelled harmonic parameter (BL), and liver-labelled harmonic parameter (LR) differed between the CAG and non-CAG groups. After age adjustment and FDR correction, only ST and BL remained statistically significant. Compared with non-CAG controls, patients with CAG showed higher ST values and lower BL values. This finding indicates an associated differential harmonic pattern that was not fully explained by age distribution. However, the discriminative ability of a single harmonic parameter was limited. The best-performing single indicator was ST, with an AUC of 0.652 (95% CI: 0.595-0.707). The multivariable model integrating age and multiple harmonic parameters achieved an AUC of 0.791 (95% CI: 0.743-0.835), representing an improvement of 0.139 over ST alone. In internal validation, stratified five-fold cross-validation yielded a mean AUC of 0.753 (95% CI: 0.715-0.781), and the bootstrap optimism-corrected AUC was 0.748. These results suggest that the model retained moderate discriminative performance after internal validation.At a specificity of at least 95%, the model achieved a sensitivity of only 40.4% (95% CI: 25.7%-49.7%). This high-specificity cutoff may be suboptimal as the preferred threshold for an initial screening setting because of the potential risk of missed CAG cases. The Youden index-based optimal cutoff was 0.419, corresponding to a sensitivity of 80.7% and a specificity of 62.8%. This threshold may better match the practical aim of noninvasive auxiliary screening, where sensitivity is usually prioritized to reduce missed cases. Decision curve analysis showed that, within a threshold probability range of 10%-55%, the model provided higher net clinical benefit than the reference strategies of recommending gastroscopy for all participants or for none.Conclusion Patients with CAG showed associated harmonic differences in fingertip PPG-derived features, mainly characterized by higher ST and lower BL values after age adjustment and FDR correction. Compared with a single harmonic parameter, the multivariable model showed better overall discrimination and retained moderate internal validation performance. These findings suggest that PPG-derived harmonic parameters labelled according to meridian nomenclature may provide auxiliary information for noninvasive auxiliary screening and front-line triage before gastroscopic confirmation in CAG. The present results support further validation rather than immediate clinical implementation. External validation in independent, multicenter, and preferably prospective screening cohorts is needed to assess the model’s generalizability, screening performance, and potential clinical utility.]]> 2026/5/12 8:57:51 Z-scores, and apparent affinity parameters in concentration-gradient designs. These datasets may support virtual screening, hit prioritization, binding landscape construction, functional group clustering, and structure–activity relationship inference. Overall, SMM has evolved into a versatile screening and data-generation platform, providing a methodological engine for expanding the druggable target space and accelerating early-stage discovery of chemical probes and lead compounds.]]> 2026/5/9 9:20:25 Objective Hepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed.Methods The levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine.Results Western blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression.Conclusion This study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.]]> 2026/5/9 9:17:09 2026/5/9 9:13:04 Objective The essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer.Methods Syndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets.Results At the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability.Conclusion The benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.]]> 2026/5/5 10:18:04 Objective Obesity, a global chronic metabolic disease, is closely associated with disruptions in lipid metabolism and gut microbiota. Current intervention strategies still have limitations in terms of safety and microecological regulation, necessitating the exploration of novel natural regulatory approaches. Based on the early pathological characteristics of obesity, this study innovatively employs a rectal delivery method alongside a high-fat diet (HFD)-induced obesity model to systematically evaluate the inhibitory effects, safety, and gut microbiota regulation mechanisms of leek-derived and konjac-derived extracellular vesicles on obesity development. By simulating early clinical intervention scenarios, this study aims to explore the preventive potential of plant-derived extracellular vesicles during the initial stages of obesity onset.Methods Extracellular vesicles from leek and konjac were isolated using ultracentrifugation combined with density gradient centrifugation. Their nanoscale properties were characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and nanoparticle tracking analysis (NTA). Male C57BL/6J mice were randomly divided into four groups: normal control (NC), high-fat diet (HFD), leek-derived extracellular vesicles (LEVs), and konjac-derived extracellular vesicles (KEVs). Beginning simultaneously with HFD feeding, mice in the intervention groups received 20 g/L vesicles rectally every 3 d for 4 weeks. Body mass and body composition were monitored throughout. At endpoint, mouse serum, adipose tissue, and colonic contents were collected. Serum biochemical indices (lipid profile, liver and kidney function, cardiac markers) were assessed to evaluate safety and metabolic efficacy, while 16S rRNA sequencing was employed to analyze gut microbial structure and diversity.Results DLS, NTA, and TEM confirmed that both LEVs and KEVs exhibited typical cup-shaped nanostructures with average particle sizes of approximately 284 nm and 223 nm, respectively. LEVs and KEVs treatment significantly suppressed HFD-induced weight gain and elevation of body-fat percentage (P<0.05), and reduced accumulation of abdominal white and epididymal adipose tissue. Serological analyses showed that both vesicles lowered total cholesterol, triglycerides and LDL-cholesterol, and ameliorated liver enzyme profiles (ALT, AST), demonstrating lipid-metabolic regulation and hepatoprotective effects. No hepatic, renal or cardiac dysfunction was observed, indicating favorable safety. Gut microbiota analyses revealed that vesicle intervention partially restored HFD-depleted microbial diversity and reshaped community structure. Notably, LEVs markedly increased the relative abundance of the beneficial taxon Lachnospiraceae at the family level, which is known for producing short-chain fatty acids and enhancing intestinal barrier function. Furthermore, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) functional prediction suggested that LEVs and KEVs modulated gut microbial functions through distinct mechanisms: LEVs downregulated pathways related to ribosomes and DNA replication while enhancing xenobiotic degradation, whereas KEVs tended to upregulate energy metabolism and protein synthesis toward healthy levels.Conclusion Rectally administered LEVs and KEVs exhibit excellent safety and pronounced metabolic benefits during the early phase of obesity, suppressing weight gain, correcting lipid dysregulation, and exerting effects via modulation of gut microbial composition and function. This study provides systematic experimental evidence supporting plant-derived exosome-like vesicles as an early intervention strategy against obesity.]]> 2026/5/5 10:17:09 in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.]]> 2026/5/3 13:04:41 Objective Spinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism.Methods The study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats.Results EA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B (NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF-κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations.Conclusion EA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.]]> 2026/5/3 10:44:29 2026/4/30 9:44:28 e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.]]> 2026/4/29 23:02:30 2026/4/27 7:53:22 Objective Stroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction.Methods A dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction.Results Simulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications.Conclusion The proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.]]> 2026/4/24 19:36:50 via amide bond formation. This process proceeds spontaneously without requiring external enzymes, cofactors, or chemical reagents, granting inteins exceptional biocompatibility and traceless performance in protein engineering applications. Split inteins represent a specialized and versatile subclass whose splicing domains are encoded by two separate gene fragments rather than a single continuous open reading frame. These fragments, known as the N-terminal (IntN) and C-terminal (IntC) split inteins, associate through non-covalent interactions including hydrophobic forces, hydrogen bonds, and van der Waals forces to assemble into an active three-dimensional structure, which then drives efficient extein ligation and enables protein trans-splicing. Protein trans-splicing mediated by split inteins has become a cornerstone for traceless protein ligation owing to its high specificity and irreversibility, fundamentally reshaping strategies for protein modification, assembly, and functional regulation. Compared with traditional chemical ligation methods, split intein systems require no complex chemical derivatization of peptide fragments and can operate efficiently at micromolar concentrations under physiological conditions, thus avoiding structural and functional damage caused by organic reagents. In contrast to enzymatic ligation tools such as sortase, split inteins eliminate the need for additional enzymes or cofactors, simplifying reaction systems, reducing costs, and minimizing non-specific side products. These distinctive advantages render split inteins highly promising for applications in chemical biology, synthetic biology, and biopharmaceutical development. In recent years, deepened mechanistic understanding has established structure-guided rational design as the primary approach to overcoming key limitations of split inteins, including intrinsic aggregation propensity, strict extein sequence dependence, and limited splicing efficiency. Bioinformatic tools have been used to identify aggregation-prone regions in the IntN fragment, and site-directed mutagenesis of hydrophobic residues, relocation of split sites, or removal of misfolding-prone sequences has substantially reduced in vitro aggregation and improved soluble expression and assembly activity. Rational engineering of catalytic residues and adjacent flexible loops has relaxed strict amino acid preferences at extein junctions, enhancing sequence tolerance and reducing the risk of functional impairment in target proteins. Consensus design based on multiple sequence alignments has yielded ultra-fast splicing variants such as Cfa DnaE and Cat-TerL, which exhibit significantly accelerated kinetics and improved tolerance to denaturing conditions. Meanwhile, advances in structural biology have further clarified the conformational dynamics and catalytic mechanisms of splicing, supporting the precise design of high-performance intein modules. On this basis, electrostatic interaction tuning and metagenomic screening have yielded multiple mutually orthogonal split intein pairs, enabling selective multi-fragment protein ligation and providing new routes for the efficient synthesis of large multi-domain functional proteins. With these engineered split inteins offering continuously improved performance and expanded applicability, protein trans-splicing has been widely applied in numerous cutting-edge areas of protein research and biomedicine. In gene delivery, split intein-based systems overcome the packaging limit of adeno-associated viral vectors, enabling the accurate reconstitution of large therapeutic proteins and base editors in target cells, thereby enhancing the efficacy and scope of gene therapy for genetic diseases. In internal protein sequence editing, split inteins mediate precise sequence replacement and modification in flexible regions or loops of target proteins, without the need for complex multi-step ligation and protein refolding involved in traditional protein semisynthesis. In protein-protein interaction studies, intein-mediated splicing covalently captures transient and weak intracellular complexes, enabling sensitive, high-throughput interaction detection and drug screening. In synthetic biology, conditionally controllable splicing systems support the construction of diverse intracellular and cell-surface biological logic gates for the precise regulation of cellular behavior. In mechanistic biochemical research, split inteins enable photocatalytic proximity labeling and site-specific tagging, allowing the preparation of homogeneous protein samples carrying precise post-translational modifications such as ubiquitination and polyglutamylation for chromatin interactome analysis and epigenetic studies. Moreover, covalent trapping strategies using split inteins stabilize transient enzymatic intermediates, providing unprecedented insights into molecular mechanisms such as nucleosome ubiquitination that are difficult to elucidate using conventional methods. This review systematically summarizes key technological advances in split inteins over the past decade, highlighting engineering strategies, mechanistic insights, and the development of orthogonal components. It comprehensively surveys emerging applications at the frontiers of protein research, analyzes current core challenges, and proposes future directions, particularly emphasizing artificial intelligence-driven de novo design and novel splicing pathways to break existing technical bottlenecks. By enabling traceless, efficient, and versatile protein manipulation, split inteins continue to serve as indispensable tools that drive innovation in protein engineering and fundamental life science research.]]> 2026/4/22 23:22:43 In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.]]> 2026/4/18 17:16:11 in vitro and in vivo anticancer efficacy, as well as their pharmacological and toxicological characteristics. Anti-RON ADCs demonstrated favorable stability both in vitro and in vivo. In cellular models, anti-RON ADCs carrying different payloads all exhibited potent cytotoxic effects. In animal models, anti-RON ADCs have convincingly demonstrated significant anti-cancer activity, with stable pharmacological properties and manageable toxicity at therapeutic doses. Anti-RON ADCs have a number of distinct therapeutic advantages. Compared with ADCs targeting other RTKs, anti-RON ADCs have unique effects in regulating the immune microenvironment and can potentially provide additional therapeutic options for overcoming drug resistance. Compared with RON antibodies and small molecule inhibitors, anti-RON ADCs do not rely on the RON signaling pathways, thereby significantly enhancing therapeutic efficacy. Moreover, anti-RON ADCs show therapeutic potential for targeting RON variants. In summary, the results of basic researches indicated that anti-RON ADCs have favorable anti-cancer effects and show promising clinical translation prospects. In addition, this article analyzed the current limitations of anti-RON ADCs and emphatically discussed their future development directions. The payloads of the existing anti-RON ADCs are relatively limited, and the drug-to-antibody ratio (DAR) of each ADC is not uniform. There also remains considerable room for improvement in terms of endocytosis efficiency and drug combination strategies. Therefore, the development of the next-generation anti-RON ADCs should focus on the diversification of the payloads, and explore new types of ADCs, dual-load ADCs, etc. Additionally, the structure of antibodies or ADCs could be optimized to enhance the endocytosis efficiency and progressively overcome current limitations. At present, anti-RON ADCs are limited to basic research, and the current research outcomes and observations indicated their potential for clinical application. Therefore, the clinical translation of anti-RON ADCs will be an important objective for future development. To this end, it is necessary to carefully devise a rational clinical translation pathway for anti-RON ADCs, and comprehensively evaluate the potential challenges that may arise during the implementation, so as to accelerate the initiation of clinical trials. Ultimately, clinical application of anti-RON ADCs will be realized, providing more treatment options for cancer patients.]]> 2026/4/16 15:15:07 Objective Discriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions.Methods Our framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features.Results Evaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians.Conclusion These results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.]]> 2026/4/16 8:30:33 Objective In traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection.Methods The proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods.Results The efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations.Conclusion This study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.]]> 2026/4/16 8:27:45 Objective Flavonoids are clinically significant natural products, yet their oxygen-glycosylation in aqueous environments relies heavily on expensive nucleotide-activated sugar donors such as UDP-glucose. Liquid-liquid phase separation (LLPS) creates specialized, membraneless physicochemical microenvironments capable of modulating enzymatic functions and overcoming mass transfer limitations. This study aims to investigate whether the gut microbiota-derived DgpB/C complex—a multienzyme system traditionally recognized for cleaving stable C-glycosidic bonds and facilitating isomerization—can undergo functional remodeling within phase-separated condensates. Our core objective is to elucidate the role of phase separation in expanding enzymatic catalytic plasticity and to provide a non-canonical, highly cost-effective biocatalytic mechanism for the direct utilization of free sugars in the synthesis of O-glycosylated natural products.Methods An artificial phase-separation platform was constructed utilizing the multivalent arginine-glycine-glycine motif (RGG)-repeat domain derived from the Caenorhabditis elegans LAF-1 protein. To ensure precise spatial compartmentalization, the DgpB/C complex was specifically recruited into the RGG condensates via a high-affinity SZ1/SZ2 heterodimerization tag system. Condensate formation and substrate partitioning were visualized using light and confocal fluorescence microscopy. The chemical structures and regioselectivity of the reaction products were rigorously characterized using high-performance liquid chromatography (HPLC) and liquid chromatography-mass spectrometry (LC-MS)/MS systems. Furthermore, molecular docking and 20-ns molecular dynamics (MD) simulations were performed via the Hermite platform and Uni-GBSA pipeline to elucidate the structural and thermodynamic basis underlying the phase-transition-induced functional shift.Results We observed that the condensates formed by RGG proteins selectively recruited and significantly enriched hydrophobic flavonoid substrates. Strikingly, within the LLPS microenvironment, the DgpB/C complex—which typically exhibits only degradative or isomerase activities—underwent a profound functional remodeling, transforming into an efficient O-glycosyltransferase. Diverging from canonical pathways that require high-energy donors, the sequestered DgpB/C complex directly utilized unactivated free glucose to catalyze the formation of new O-glycosidic bonds. This remodeled activity was found to be evolutionarily conserved across DgpB/C homologs from diverse gut microbiota strains, such as P581a and W974-1. LC-MS/MS analysis further revealed that the phase-separated environment reduced the regioselectivity constraints of the enzyme, enabling catalytic action on multiple hydroxyl positions of the flavonoid scaffold. MD simulations further indicated that the low-water-activity microenvironment of the condensates reconfigured the conformational dynamics of the catalytic pocket, favoring a spatial orientation highly conducive to dehydration condensation.Conclusion This study demonstrates that LLPS drives the functional remodeling of the gut microbiota enzyme DgpB/C through the reconfiguration of the physicochemical microenvironment. These findings challenge traditional perceptions regarding the functional boundaries of metabolic enzymes and reveal a novel biocatalytic pathway that bypasses the requirement for nucleotide-activated sugars. Consequently, this provides a highly promising artificial compartmentalization strategy for the green manufacturing of complex, high-value-added natural products.]]> 2026/4/15 7:48:59 2026/4/14 17:21:29 + T cells, thereby strengthening their ability to recognize and eliminate tumor cells and alleviate immune imbalance. On the other hand, aerobic exercise promotes tumor vascular normalization, improves vascular maturity, and stimulates the secretion of irisin and other anti-inflammatory myokines, thereby remodeling the TME and relieving its immunosuppressive state to delay tumor progression. However, psychological stress following a cancer diagnosis can not only act as an independent disruptive factor that exacerbates immune imbalance within the TME, but also amplify the effects of other detrimental factors, such as reduced treatment adherence, thereby further weakening the antagonistic effect of aerobic exercise on tumor growth. Psychological stress, as a chronic stressor, promotes the excessive secretion of emotion-related hormones, including glucocorticoids (GCs) and norepinephrine (NE), which further suppress the activation and effector functions of antitumor immune cells such as CD8⁺ T cells and natural killer (NK) cells, while facilitating the recruitment of protumor immune cells such as regulatory T cells (Tregs). These changes ultimately disrupt immune homeostasis in the TME, promote tumor immune evasion, accelerate tumor invasion and metastasis, and offset the beneficial effects of aerobic exercise on tumor control. In addition, psychological stress induces hyperactivation of the hypothalamic-pituitary-adrenal (HPA) axis and abnormal excitation of the sympathetic nervous system (SNS), thereby maintaining elevated levels of GCs, NE, and related stress hormones, suppressing inflammatory chemokine expression and immune cell recruitment, and further disturbing immune homeostasis in the TME, which accelerates tumor progression. More importantly, prolonged psychological stress can also disrupt the homeostasis of central neurotransmitters, such as 5-hydroxytryptamine (5-HT) and glutamate (Glu). This not only directly inhibits the activation and effector functions of antitumor immune cells and promotes the establishment of an immunosuppressive microenvironment, but also impairs cellular energy metabolism and continuously provides energy for tumor cells through metabolic reprogramming, thereby sustaining rapid tumor growth and adaptation to a hostile TME. Ultimately, these alterations contribute to the dysregulation of “neuro-endocrine-immune” axis and weaken the protective effect of aerobic exercise against tumor progression. Therefore, this review focuses on the interaction between psychological stress and the “neuro-endocrine-immune” axis, with particular emphasis on the mechanisms by which psychological stress induces immune imbalance and weakens the antagonistic effect of aerobic exercise on tumor progression. We further highlight the important role of psychological stress in tumor progression and propose that combining psychotropic interventions, aerobic exercise, and clinical antitumor immunotherapy may help restore the tumor-killing capacity of the immune system. Such a multimodal strategy may exert synergistic effects at multiple levels, including psychological stress relief, neuroendocrine regulation, and reconstruction of immune homeostasis, thereby providing new perspectives for identifying therapeutic targets in solid tumors, enhancing the efficacy of cancer immunotherapy, and improving patient prognosis.]]> 2026/4/10 9:34:59 in situ structural biology.]]> 2026/4/9 22:42:21 Objective This study aimed to elucidate the mechanistic role of Staphylococcus aureus in the pathogenesis of atopic dermatitis (AD), a chronic inflammatory skin disorder characterized by pruritus and barrier dysfunction. A key focus was screening traditional Chinese medicine (TCM) active components with dual antibacterial and antipruritic efficacy, followed by systematic evaluation of their in vitro antibacterial activity. Additionally, a novel drug delivery system was constructed to enable localized efficient drug delivery, inhibiting S. aureus proliferation and alleviating its induced pruritus, thereby providing new strategies for targeted AD therapy.Methods Male C57BL/6J mice aged 6-8 weeks (body weight 18-22 g) were used to establish an AD model via repeated oxazolone sensitization. On day 14, microbial samples were collected from the lesional area (1 cm2) using sterile cotton swabs, followed by vortex mixing, serial dilution, and plating on 5% sheep blood agar plates (incubated at 37°C for 24 h). Single colonies with complete transparent β-hemolytic zones were isolated and identified as vancomycin-intermediate S. aureus (VISA) via 16S rRNA sequencing. An S. aureus mono-infection animal model was then established by applying gauze saturated with bacterial suspension (McFarland turbidity 0.1) to the nape and back skin of mice. The pruritic phenotype and inflammatory cell infiltration induced by S. aureus were evaluated using comprehensive approaches including behavioral assays (e.g., scratching frequency recording), hematoxylin-eosin (HE) staining, and toluidine blue staining. The in vitro antibacterial efficacy of the TCM monomer pseudolaric acid B (PAB) and double network hydrogel (DN) was separately assessed by disk diffusion assay, while the minimum inhibitory concentration (MIC) of PAB was determined via broth dilution method. Further validation of the pharmacodynamic characteristics of the composite system (PAB@DN, composed of PAB and DN) was conducted through behavioral assays, HE staining, and dermatitis scoring, with its drug release profile evaluated by mass spectrometry analysis. Based on scratching behavioral analysis and dermatitis scoring, the optimal ratio and concentration of PAB@DN were optimized.Results The S. aureus load in AD lesional tissues was significantly higher than in normal skin ((5.3±0.33)×10? CFU vs. (3.6±0.26)×10? CFU, P<0.001). In the S. aureus mono-infection group, mice exhibited a 6.7-fold increase in scratching frequency compared to the control group. HE staining revealed marked epidermal thickening ((10.4±2.39) μm vs. (85.6±1.95) μm, P<0.000 1), and toluidine blue staining showed a 23-fold increase in mast cell degranulation. Pseudolaric acid B exhibited a significant concentration-dependent inhibitory effect on S. aureus growth, with its in vitro antibacterial effect being 57% that of the antibiotic cefepime (inhibition zone diameter: PAB (1.885±0.036) cm vs. cefepime (3.636±0.005) cm, P<0.000 1) and a minimum inhibitory concentration (MIC) of 1 g/L. The carrier double network hydrogel (DN) itself lacked direct antibacterial activity (no significant difference in inhibition zone diameter compared to the control) but effectively ameliorated the dry symptoms of AD-like lesions. The PAB@DN composite system demonstrated a synergistic effect compared to individual components, resulting in a 50% reduction in scratching behavior, an 86% decrease in dermatitis score, and a 60% reduction in epidermal thickening. It also reduced the S. aureus load in mouse skin by approximately 34%, with the optimal effective formulation being PAB at 1 g/L loaded onto DN.Conclusion S. aureus colonization plays a critical driving role in the onset and progression of AD. Using an S. aureus infection model, this study confirmed that the pseudolaric acid B-hydrogel composite delivery system (PAB@DN) can effectively alleviate S. aureus-induced pruritus and skin damage, providing experimental evidence for microbiota-targeted therapy of AD.]]> 2026/4/9 11:05:19 Objective The present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health.Methods A total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerstr?m test for nicotine dependence (FTND).Results Compared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways.Conclusion The present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.]]> 2026/4/9 7:37:28 Objective The Golgi apparatus serves as a central hub in the eukaryotic secretory pathway, responsible for the processing, sorting, and trafficking of proteins and lipids. In mammalian cells, the Golgi typically forms a perinuclear ribbon-like structure composed of laterally connected cisternae stacks.The maintenance of Golgi ribbon structure depends on the balance of membrane flux across multiple intracellular trafficking pathways, yet the specific contributions of distinct trafficking branches to Golgi macroscopic morphology remain elusive. In mammalian cells, the Golgi ribbon is typically organized as a perinuclear, laterally connected structure composed of stacked cisternae, and its integrity is highly dynamic and sensitive to perturbations in membrane trafficking. This study aims to elucidate the role of coat protein complex I (COPI)-mediated retrograde transport in maintaining the Golgi ribbon and to dissect the functional relationship between the transmembrane cargo receptors LEPROT/LEPROTL1 (LEPROTs) and the COPI adaptor GOLPH3.Methods Using siRNA interference and gene-deficient cell lines, we selectively perturbed COPI- or adaptor protein complex 1 (AP-1)-mediated trafficking pathways in HeLa cells. To quantitatively evaluate Golgi morphology, we employed a “Golgi Angle”-based measurement to assess its circumferential distribution around the nucleus. The spatial distribution of the Golgi ribbon was quantitatively analyzed using confocal microscopy, while Golgi ultrastructure and vesicle density were examined via transmission electron microscopy. Additionally, the subcellular distribution of COPI components was assessed by immunofluorescence co-localization.Results Selective inhibition of COPI retrograde transport significantly induced the circumferential extension of the Golgi ribbon around the nucleus, whereas blocking AP-1-mediated anterograde transport resulted in Golgi compaction, indicating opposing roles. These results suggest that different trafficking branches downstream of ARF1 exert distinct and even antagonistic effects on Golgi morphology. LEPROTs-deficient cells exhibited a Golgi extension phenotype highly consistent with COPI impairment. Furthermore, knockdown of GOLPH3 in a LEPROTs double-knockout background produced a significant additive effect on Golgi extension, suggesting that LEPROTs and GOLPH3 play non-redundant roles in regulating COPI-related trafficking processes. Mechanistically, loss of either LEPROTs or GOLPH3 led to the aberrant accumulation of COPI components at endoplasmic reticulum exit sites, accompanied by a reduction in COPI-like vesicles around the Golgi. This redistribution indicates a defect in COPI recycling between the ER-Golgi interface and the Golgi apparatus. Ultrastructural analysis revealed that Golgi cisternae in defective cells became shorter and thicker while maintaining a stable number of stacks. In parallel, the density of Golgi-associated vesicles was markedly decreased, further supporting an impairment in COPI vesicle formation or budding processes.Conclusion This study demonstrates that active COPI retrograde transport is a critical factor in restricting the over-connection of the Golgi ribbon and maintaining its compactness. Rather than causing fragmentation, partial disruption of COPI function leads to a distinct morphological outcome characterized by Golgi ribbon extension at the light microscopy level and cisternal remodeling at the ultrastructural level. LEPROTs and GOLPH3 cooperatively promote the recycling and vesiculation of COPI components, thereby imposing a structural constraint on the Golgi periphery. Our findings support a model in which multiple adaptor proteins act in parallel to sustain efficient COPI cycling, thereby maintaining Golgi structural homeostasis. These findings provide new cell biological evidence for the membrane trafficking basis of Golgi morphological homeostasis.]]> 2026/4/8 10:11:24 via the mTOR-HIF-1α signaling axis. Notably, the metabolic reprogramming of eosinophils prolongs their survival and enhances the release of cytotoxic granules, while in mast cells, enhanced glycolysis facilitates IgE-mediated degranulation and histamine release. Furthermore, glycolysis also influences the Th17/Treg balance, with enhanced glycolytic flux promoting Th17 differentiation and contributing to the heterogeneous inflammatory profiles observed across different rhinitis subtypes.As a central metabolite, lactate contributes to the formation of a metabolism-inflammation vicious cycle through multiple mechanisms. Lactate acidifies the local microenvironment to activate TRPV1 channels and facilitate neuropeptide release, mediates immune cell chemotaxis through GPR81, and regulates gene expression via histone lactylation, thereby sustaining proinflammatory gene transcription. These lactate-mediated processes collectively amplify local inflammation and contribute to the persistence of nasal symptoms.Glycolytic reprogramming in epithelial cells is modulated by the EGF/EGFR pathway, and its dysregulation may result in disrupted tight junctions, abnormal goblet cell hyperplasia, and subsequent tissue remodeling. Substance P and calcitonin gene-related peptide released from sensory neurons, in conjunction with metabolic products, synergistically maintain persistent inflammatory stimulation by activating mast cells, forming a neuro-immune-metabolic regulatory network that drives disease chronicity.From a therapeutic perspective, glycolytic inhibitors such as 2-deoxyglucose, FX11, and 3-bromopyruvate exert anti-inflammatory effects by targeting key enzymes including HK2 and LDHA, each with distinct mechanisms: 2-DG competitively inhibits hexokinase, FX11 selectively targets LDHA to reduce lactate production, and 3-BrPA modulates multiple glycolytic enzymes. Moreover, traditional Chinese medicine formulas, monomeric active components, and small-molecule compounds have shown promising potential in alleviating nasal inflammation by regulating the mTOR-HIF-1α axis, exerting antioxidant effects, and modulating endoplasmic reticulum stress pathways. The multi-target characteristics of these natural products offer advantages in addressing the complex pathophysiology of nasal inflammatory diseases.Despite these advances, several challenges remain. The non-selective inhibition of glycolysis may interfere with epithelial repair and mucosal regeneration, leading to delayed wound healing. Technical limitations in dynamic metabolic monitoring and sampling precision hinder the accurate assessment of local nasal metabolism. Furthermore, current animal models, which predominantly rely on acute stimulation protocols, inadequately recapitulate the chronic tissue remodeling processes characteristic of human rhinitis.This review systematically summarizes glycolysis as a common metabolic node shared by different rhinitis subtypes, offering a novel theoretical basis for the development of precision therapeutic strategies targeting metabolic reprogramming.]]> 2026/4/7 10:42:19 in vitro reconstitution and maturation of their catalytic centers, and the inefficiency and instability of the natural electron transfer pathways. To overcome these limitations and enhance the catalytic performance of hydrogenases, researchers have developed various strategies, among which enzyme molecular engineering, photo-driven modification, and enzyme immobilization techniques are the most common exploration directions. Particularly, enzyme immobilization technology is widely used to improve the reusability of hydrogenases, but traditional immobilization methods often come with disadvantages in practical applications, such as complex multi-step procedures and insufficient biocompatibility of the immobilization materials. In recent years, bioencapsulation technology has emerged as a promising alternative strategy to enhance the catalytic performance of hydrogenases. This method utilizes biologically derived encapsulation materials to construct physically confined and precisely defined chemical microenvironments around the enzyme molecules, offering simpler self-assembly processes and superior biocompatibility. With these biomimetic constructs, bioencapsulation technology not only provides better oxygen tolerance but also helps to create a local microenvironment conducive to sustained catalytic function. This article systematically reviews the latest research progress of two main bioencapsulation strategies for hydrogenases: one is the encapsulation technology based on protein-based nanocages; the other is the engineering strategy for whole-cell hydrogenase expression. In the nanocage-based systems, this article focuses on the structural and functional characteristics of virus-like capsids and carboxysome protein shells, which serve as efficient enzyme encapsulation scaffolds, not only providing a stable physical barrier to prevent oxygen diffusion but also enabling high-density enzyme loading, thereby promoting substrate channeling effects and electron transfer kinetics. This article also discusses whole-cell encapsulation systems, which achieve hydrogenase compartmentalization within engineered cellular structures or by using external natural polysaccharide-based encapsulation matrices to wrap whole-cell catalysts. Bioencapsulation strategies can bring multiple synergistic benefits: they can effectively protect hydrogenases from oxygen-mediated inactivation, significantly delay the decline of catalytic activity over time, and enhance the hydrogen production rate by increasing the local concentration of active enzyme molecules and optimizing the electron transfer efficiency from redox partners to the catalytic center.Despite the significant progress made, several technical challenges remain to be addressed. The main obstacles include limited enzyme loading and encapsulation efficiency, insufficient long-term stability of encapsulation materials under operating conditions, and the need to improve the matching of the photo-biological interface in systems integrating light-harvesting components with enzymatic catalysis. Future efforts can focus on the integration of multiple technological approaches, such as using computer-aided protein design to optimize encapsulation structures, developing engineered electron transfer pathways to enhance catalytic conversion efficiency, and designing composite multifunctional materials with both structural stability and functional adaptability. These directions collectively aim to achieve efficient, stable, and scalable hydrogen production applications of bioencapsulated hydrogenase systems.]]> 2026/4/7 8:30:49 Staphylococcus aureus and Pseudomonas aeruginosa. These bacteria readily construct dense extracellular polymeric substance (EPS) biofilms, which not only physically shield the microbes from host immune responses but also actively trap the wound in a state of chronic, unresolved inflammation. Consequently, conventional systemic and topical antibiotic therapies are becoming increasingly futile, as poor perfusion at the wound site restricts drug bioavailability, while the rapid genetic evolution of bacteria and the impenetrable nature of biofilms lead to catastrophic treatment failures, often culminating in severe tissue necrosis and lower-extremity amputations. To circumvent the limitations of traditional antimicrobials, therapeutic gas delivery has emerged as a highly promising, paradigm-shifting strategy. Gaseous signaling molecules, particularly nitric oxide (NO), carbon monoxide (CO), hydrogen sulfide (H₂S), and hydrogen (H₂), possess unique physicochemical properties that allow them to seamlessly penetrate dense biofilm matrices and cellular membranes. Once inside, these gases operate via multi-targeted mechanisms that are incredibly difficult for bacteria to develop resistance against; for instance, NO induces severe lipid peroxidation and DNA cleavage in bacteria, CO downregulates pro-inflammatory cytokines, H₂S significantly accelerates endothelial cell migration for neovascularization, and H₂ acts as a powerful selective antioxidant to neutralize tissue-damaging reactive oxygen species (ROS). Together, these therapeutic gases not only exert broad-spectrum bactericidal effects but also actively reprogram the wound bed by promoting the critical M1-to-M2 macrophage polarization and stimulating angiogenesis. Despite their immense biological potential, the direct clinical translation of gas therapies is severely hindered by inherent physicochemical drawbacks, including extreme volatility, short physiological half-lives, poor aqueous solubility, and the high risk of off-target systemic toxicity, if applied indiscriminately. To conquer these immense pharmacokinetic barriers, cutting-edge advancements in materials science have driven the development of gas-releasing micro- and nanoplatforms. Utilizing sophisticated carriers such as metal-organic frameworks (MOFs), mesoporous silica, polymeric nanoparticles, liposomes, and injectable hydrogels, researchers can now encapsulate gas-donor molecules to achieve sustained, localized delivery. More importantly, these advanced nanoplatforms are ingeniously engineered to be stimuli-responsive. By exploiting the pathological hallmarks of the diabetic wound environment, such as elevated glucose concentrations, acidic pH, and overexpressed ROS, or by utilizing external triggers like near-infrared (NIR) light irradiation and ultrasound, these intelligent platforms ensure on-demand, precise spatio-temporal gas release. This often allows for powerful synergistic combinations, such as photothermal or photodynamic therapy coupled with gas release, thereby obliterating biofilms while sparing healthy tissue. While the therapeutic outcomes of these smart delivery systems in eradicating MDR infections and accelerating tissue repair are unprecedented, several critical challenges remain before widespread clinical adoption, as long-term biosafety profiles of the carrier nanomaterials, complexities in large-scale good manufacturing practice (GMP) production, and stringent regulatory hurdles must be rigorously addressed. Looking forward, the next frontier lies in the realm of precision medicine and theranostics, where future research must focus on the seamless integration of these gas-releasing platforms with flexible, wearable biosensors capable of continuously monitoring wound biomarkers (e.g., pH, temperature, uric acid) in real-time. Coupled with artificial intelligence algorithms to govern automated, closed-loop adaptive dosing, these next-generation smart dressings hold the ultimate potential to comprehensively transform the clinical management of complex, infected diabetic wounds.]]> 2026/4/3 14:17:14 via ceRNA mechanisms or recruitment of chromatin-modifying complexes in tissues such as adipose and liver. Additionally, circulating lncRNAs, owing to their tissue specificity and stability, hold promise as non-invasive liquid biopsy biomarkers for obesity and related metabolic disorders. Furthermore, we systematically summarize lncRNA-based intervention strategies, including targeting pathogenic lncRNAs using antisense oligonucleotides (ASOs) or CRISPR/Cas gene editing systems, utilizing viral vectors (such as adeno-associated virus, AAV) to deliver or mimic beneficial lncRNAs in target tissues, and employing exercise as a non-pharmacological intervention that ameliorates obesity and its related complications at multiple levels, offering novel insights for personalized therapeutic approaches. We also critically assess the current challenges in clinical translation, particularly addressing issues related to delivery efficiency, target specificity, and long-term safety concerns. Future research should focus on the following directions: integrating multi-omics with functional screening to elucidate the regulatory networks of lncRNAs in obesity and its complications; leveraging artificial intelligence to construct predictive models of lncRNA-target gene interactions; developing efficient and safe in vivo delivery systems, and optimizing drug design to enhance specificity and safety; establishing highly sensitive detection methods and stable circulating lncRNA biomarkers to enable precise patient stratification and real-time monitoring of therapeutic responses; investigating the synergistic effects of lncRNAs with existing treatments (e.g., GLP-1 receptor agonists, lifestyle interventions) to develop combination therapies and establish a multidimensional, personalized precision medicine framework for obesity. This review aims to provide novel perspectives for understanding the molecular mechanisms underlying obesity and to establish a solid theoretical foundation for developing lncRNA-targeted precision medicine strategies against obesity and its associated metabolic complications.]]> 2026/4/3 11:08:51 2026/4/2 21:01:48 2026/4/2 21:01:09 Objective Transcranial magneto-acoustic stimulation (TMAS) is an emerging non-invasive neuromodulation technique that may provide a novel non-pharmacological intervention strategy for Parkinson""s disease (PD). PD is characterized by the progressive degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNc), leading to motor impairments such as bradykinesia, tremor, and rigidity. Increasing evidence indicates that mitochondrial dysfunction and impaired mitochondrial quality control are central mechanisms underlying dopaminergic neuronal loss. In particular, abnormalities in mitophagy and mitochondrial fission-fusion balance contribute substantially to oxidative stress, energy metabolic failure, and neuronal injury. At present, most clinical treatments for PD mainly alleviate symptoms but do not effectively halt disease progression. Therefore, exploring new interventions targeting the core pathological mechanisms is of considerable significance. This study aims to investigate whether TMAS can improve neural damage and motor dysfunction in PD mice by regulating mitophagy and the fission/fusion dynamic balance, thereby providing theoretical and experimental support for its application in PD treatment.Methods Male C57BL/6 mice were used in this study. A PD model was established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) for 7 consecutive days. After model induction, mice in the intervention group received TMAS once daily for 14 consecutive days, whereas the corresponding control group received sham stimulation. The stimulation target was positioned over the primary motor cortex (M1). Motor performance was evaluated using the pole test and the open-field test. To verify the activation effect of TMAS on the target cortical region, c-Fos immunohistochemistry was performed in the M1. To assess nigral dopaminergic neuronal injury, tyrosine hydroxylase (TH) immunohistochemistry was used to quantify TH-positive neurons in the SNc. Mitochondrial function was evaluated by measuring reactive oxygen species (ROS) levels and adenosine triphosphate (ATP) content in the SNc. Western blot was further performed to determine the expression of mitophagy-related proteins, including PINK1, Parkin, LC3-II, and p62, as well as mitochondrial dynamics-related proteins, including Drp1 and Opa1.Results TMAS significantly increased the number of c-Fos-positive cells in M1 (P<0.000 1), indicating effective activation of neurons in the targeted cortical region. Compared with the control group, MPTP-treated mice exhibited marked motor dysfunction, including a significant reduction in total distance traveled in the open-field test (P<0.000 1) and mean speed (P=0.000 1), as well as significant prolongation of turn time and total climbing time in the pole test (P<0.000 1). These behavioral impairments were accompanied by a substantial loss of TH-positive dopaminergic neurons in the SNc, whereas TMAS significantly increased TH-positive neuron survival (P<0.000 1). In parallel, MPTP induced a pronounced increase in ROS levels and a significant reduction in ATP content, indicating severe mitochondrial dysfunction and energy metabolism impairment (P<0.01). TMAS treatment significantly improved motor performance, as reflected by the reversal of MPTP-induced impairment in the open-field and pole tests, and significantly reduced ROS accumulation (P<0.01) while restoring ATP production (P<0.001). At the molecular level, MPTP markedly downregulated PINK1 and Parkin, decreased p62 expression, increased LC3-II accumulation, elevated Drp1 expression, and reduced Opa1 expression, whereas TMAS significantly reversed these abnormalities, suggesting restoration of mitophagy-related mitochondrial quality control and re-establishment of mitochondrial fission-fusion balance. Collectively, these findings indicate that TMAS ameliorates MPTP-induced neurotoxicity and restores mitochondrial homeostasis and energy metabolism.Conclusion TMAS effectively attenuates neural damage and improves motor dysfunction in MPTP-induced PD mice. Its neuroprotective effects are closely associated with multidimensional regulation of the mitochondrial quality control system, including restoration of PINK1/Parkin-mediated mitophagy and rebalancing of Drp1/Opa1-related mitochondrial dynamics. Rather than acting only as a symptomatic neuromodulatory intervention, TMAS may influence a key pathological axis of PD by improving mitochondrial homeostasis in SNc and protecting nigral dopaminergic neurons. These findings provide experimental evidence supporting TMAS as a promising non-invasive physical intervention for PD.]]> 2026/4/2 21:00:02 E. coli). To compare the differential magnetic responses among bacteria expressing various recombinant MagR proteins, we utilized high-throughput automated bright-field microscopic imaging and scanning electron microscopy (SEM). Furthermore, comprehensive biochemical and biophysical characterizations of iron and iron-sulfur cluster binding were performed using Ferrozine colorimetric assays, electron paramagnetic resonance (EPR) spectroscopy, ultraviolet-visible (UV-Vis) absorption, and circular dichroism (CD) spectroscopy. Additionally, 100 mT static magnetic field (SMF) exposure experiments were conducted to assess magnetically tunable phenotypes, while the intrinsic magnetic properties of purified MagR proteins were directly measured using a superconducting quantum interference device (SQUID) magnetometer. Results Our results demonstrated that the heterologous expression of MagR homologs induced varying degrees of bacterial filamentation. From this comprehensive screen, two distinct morphological patterns were identified: hydra (Hydra vulgaris) MagR (hyMagR) promoted uniform cell elongation and filamentation, exhibiting robust magnetic sensitivity manifested as significantly enhanced filamentation under the 100 mT SMF. In contrast, pigeon (Columba livia) MagR (clMagR) induced only low-frequency, extreme filamentation (sporadically exceeding 80 μm) with a relatively weaker magnetic morphological response. Mechanistically, our data unambiguously proved that these phenotypic differences are primarily driven by distinct iron redox preferences rather than total cellular iron accumulation. Specifically, hyMagR preferentially binds ferrous iron (Fe²⁺), whereas clMagR favors ferric iron (Fe³⁺) and forms more stable iron-sulfur clusters. Intriguingly, although SQUID magnetometry showed that purified clMagR exhibited approximately five-fold higher mass magnetic susceptibility than hyMagR, its cellular magnetic response was weaker. We hypothesize that the Fe²⁺-preferred intracellular environment associated with hyMagR overexpression primes the cell for enhanced generation of reactive oxygen species (ROS) via the Fenton reaction. Exposure to an SMF synergizes with this primed redox state, triggering the bacterial SOS response and upregulating cell division inhibitors to efficiently induce uniform filamentation. Conclusion Our findings identify the Fe²⁺/Fe³⁺ redox state as a critical determinant of MagR-mediated morphological remodeling and magnetic responsiveness. This discovery suggests a potential strategy for engineering magnetically responsive cellular systems for synthetic biology applications, and provides a plausible framework, which potentially combines intrinsic protein magnetism with redox-state modulation, for further investigating the evolutionary mechanisms of MagR-mediated magnetoreception.]]> 2026/3/26 14:29:21 2026/3/23 11:24:24 Objective Mitochondria are not only the central organelles responsible for cellular energy metabolism but also play essential roles in regulating cell cycle progression and cytoskeletal dynamics. In recent years, accumulating evidence has demonstrated that mitochondrial homeostasis is closely associated with mitotic progression and cytokinesis. Schizosaccharomyces pombe serves as a classical and well-established model organism. Because its cell cycle regulatory mechanisms are highly conserved throughout evolution, its genetic background is clearly defined, and experimental manipulation is efficient and convenient, it has been extensively applied in studies of cell growth, division, and reproductive mechanisms. The SPBC1604.04 gene encodes a previously uncharacterized mitochondrial carrier protein in Schizosaccharomyces pombe. This gene is located on chromosome II and spans 1 018 base pairs in length. It encodes a protein consisting of 238 amino acids with a predicted molecular mass of approximately 31.03 ku. Bioinformatic analysis predicts that this protein is responsible for the transport of thiamine pyrophosphate (TPP) into mitochondria. However, the effects of SPBC1604.04 gene deletion on mitotic cell dynamics under different temperature conditions have not been fully elucidated.Methods The SPBC1604.04 deletion strain of Schizosaccharomyces pombe was used as the experimental model. Fluorescent protein markers were constructed in the deletion background to label mitochondria, microtubules, actin, myosin, the nuclear envelope, and chromosomes. Live-cell imaging was performed using a TCS-SP8 laser scanning confocal microscope under normal temperature conditions (25℃) and heat stress conditions (37℃). Time-lapse microscopy was applied to dynamically monitor mitochondrial morphology and distribution, spindle assembly and elongation, chromosome segregation, as well as the formation and constriction of the actomyosin ring during cytokinesis. ImageJ software was used for quantitative measurements, including microtubule length during mitosis, spindle length at different mitotic stages, mitochondrial fluorescence intensity as an indicator of mitochondrial content, actomyosin ring length, nuclear envelope area, and chromosome segregation timing. Statistical analyses were conducted to compare phenotypic differences between the wild-type and SPBC1604.04 deletion strains at both temperature conditions. Through these analyses, we systematically investigated the impact of SPBC1604.04 deletion on mitotic cell dynamics in fission yeast under both normal physiological conditions and temperature stress.Results At 25℃, compared with wild-type cells, the SPBC1604.04Δ strain exhibited a pronounced tendency toward mitochondrial fragmentation, accompanied by abnormal mitochondrial content and a significant reduction in mitochondrial fluorescence intensity. These observations suggest impaired mitochondrial homeostasis under normal growth conditions. In addition, the constriction time of actomyosin ring during cytokinesis was markedly prolonged, indicating that deletion of SPBC1604.04 affects the dynamics of the contractile machinery. However, no obvious defects were observed in spindle assembly, spindle elongation, or chromosome segregation. Under heat stress at 37℃, mitochondrial morphology in the SPBC1604.04Δ strain showed a tendency to recover toward a continuous tubular network structure. Mitochondrial content was restored, fluorescence intensity increased, and the constriction time of the actomyosin ring returned to levels comparable to those of wild-type cells. These results indicate that the mitotic defects observed at normal temperature are partially or fully alleviated under heat stress conditions.Conclusion This study demonstrates that deletion of the SPBC1604.04 gene leads to abnormal mitochondrial content in Schizosaccharomyces pombe. The mitochondrial carrier protein SPBC1604.04 participates in regulating actomyosin ring constriction during mitosis but does not appear to be directly involved in the regulation of spindle dynamics or chromosome segregation. Our findings provide key experimental evidence for understanding the functional link between the SPBC1604.04 gene, mitochondrial homeostasis, and mitotic regulation.]]> 2026/3/23 11:21:59 6-methyladenosine (m⁶A), the most abundant internal RNA modification in eukaryotes, has emerged as a critical regulator of post-transcriptional gene expression. m⁶A methyltransferases (“writers”) catalyze the addition of a methyl group to the N⁶ position of adenosine, m⁶A demethylases (“erasers”) remove the modification, and m⁶A-binding proteins (“readers”) recognize m⁶A-modified transcripts. Through the coordinated actions of these factors, m⁶A regulates transcript fate at multiple levels, including RNA splicing, nuclear export, stability, translation, and decay. Emerging evidence indicates that m⁶A-mediated regulation is essential across multiple stages of spermatogenesis, including SSC self-renewal and differentiation, meiotic progression, maintenance of chromosomal stability, and sperm morphogenesis. Beyond its intrinsic functions in germ cells, m⁶A also contributes to the regulation of the testicular microenvironment. In sertoli cells, m⁶A is involved in maintaining blood-testis barrier integrity, RNA processing, and paracrine signaling, thereby providing structural and metabolic support for germ cell development. In Leydig cells, m⁶A regulates steroidogenesis, particularly testosterone synthesis, and participates in cellular stress responses and metabolic homeostasis. Through these mechanisms, m⁶A indirectly influences spermatogenesis by modulating the functional state of testicular somatic cells, highlighting an integrated regulatory mode that combines cell-intrinsic and microenvironment-mediated effects. Notably, distinct classes of m⁶A regulators exhibit pronounced stage-specific functions and coordinated division of labor, collectively forming a multilayered and dynamic regulatory network. Writers often display dosage- and temporal window-dependent effects; erasers contribute to stage-specific demethylation and functional compensation; while readers function through a “switch-buffer” dual-layer architecture, and RNA-binding proteins (RBPs) participate in substrate selection and post-transcriptional regulation. Importantly, emerging evidence suggests that some m⁶A-related proteins can function through noncanonical mechanisms independent of m⁶A recognition, such as intrinsic RNA-binding activity, helicase function, or ribonucleoprotein complex assembly, thereby expanding the functional landscape of the m⁶A regulatory system. Dysregulation of m⁶A machinery can lead to multiple spermatogenic defects, including impaired SSC self-renewal, meiotic arrest, abnormal chromatin remodeling, and defective sperm formation, ultimately resulting in male infertility. Despite substantial advances, several critical questions remain unresolved, including the distinction between m⁶A-dependent and -independent mechanisms, the spatiotemporal dynamics of m⁶A modifications at single-cell resolution, and the coordination and antagonism among different regulatory factors. In this review, we systematically summarize the dual regulation of spermatogenesis by germ cell-intrinsic mechanisms and the testicular microenvironment, and delineate the molecular mechanisms and stage-specific functions of the dynamic m⁶A regulatory network. We further discuss the current limitations in the field and propose feasible experimental strategies for future investigation. Collectively, this work aims to provide a comprehensive framework for understanding the epitranscriptomic regulation of spermatogenesis and to offer theoretical insights into the pathogenesis and clinical management of male infertility.]]> 2026/3/21 21:51:39 in situ hybridization (FISH), next-generation sequencing (NGS), and circulating tumor DNA (ctDNA) detection technologies. We highlight discrepancies in diagnostic criteria across key clinical trials—such as HERACLES, DESTINY, and MOUNTAINEER—underscoring the urgent need for standardized, CRC-specific definitions to ensure consistent patient selection and comparability of efficacy data across studies. Although NGS enables comprehensive genomic profiling, its cost-effectiveness relative to traditional methods must be carefully considered. Therapeutically, we summarize clinical trial data for HER2-directed agents, including tyrosine kinase inhibitors (TKIs) such as tucatinib and lapatinib, monoclonal antibodies like trastuzumab, bispecific antibodies, and antibody-drug conjugates (ADCs) such as trastuzumab deruxtecan. We review dual-targeting strategies and note recent FDA approvals that represent significant milestones in second-line treatment. Additionally, we explore the potential of combining immune checkpoint inhibitors with HER2-targeted therapies to enhance antitumor immunity through mechanisms including antibody-dependent cellular cytotoxicity (ADCC) and modulation of the tumor microenvironment. ADCs enable precise delivery of cytotoxic payloads, reducing off-target toxicity while effectively inhibiting oncogenic pathways. A substantial portion of this review is dedicated to dissecting the molecular mechanisms underlying primary and acquired resistance to HER2-targeted therapies—persistent challenges that limit clinical benefit. These mechanisms include reactivation of downstream signaling pathways such as PI3K/AKT/mTOR and MAPK, concurrent mutations in genes like KRAS or BRAF, and alterations in HER2 expression that compromise treatment efficacy. For instance, specific HER2 mutations (e.g., L755S) can reduce drug binding affinity, while ctDNA monitoring facilitates early detection of emerging resistance clones during disease progression, thereby enabling timely therapeutic adjustments. Tumor heterogeneity and dynamic interactions with the microenvironment further complicate resistance patterns observed in clinical practice. HER2-targeted therapy represents a new frontier in precision oncology for mCRC, offering renewed hope for improving patient outcomes. Realizing this potential will require continued optimization of diagnostic algorithms and treatment workflows. Future efforts must focus on overcoming resistance, validating liquid biopsy approaches for dynamic monitoring, and establishing unified clinical guidelines. HER2 has become an essential biomarker for stratifying mCRC patients beyond traditional RAS and BRAF status, underscoring the shift from empiric treatment to biomarker-driven precision medicine. International, multidisciplinary collaboration will be critical to validate emerging biomarkers and refine treatment algorithms globally.]]> 2026/3/18 14:54:44 de novo fatty acid synthesis, is subject to precise regulation at multiple levels, including transcriptional control, various post-translational modifications such as ubiquitination and phosphorylation, as well as modulation by diverse signaling pathways. Recent studies have revealed that FASN is aberrantly overexpressed in various malignant tumors and is closely associated with tumor progression and poor patient prognosis. FASN is a homodimer composed of seven functional domains that catalyzes the NADPH-dependent condensation of acetyl-CoA and malonyl-CoA to generate saturated fatty acids, primarily palmitic acid. Its stability is regulated by multiple ubiquitin ligases and deubiquitinating enzymes. Additionally, FASN is subject to upstream regulation via neural precursor cell-expressed developmentally downregulated 8 (Nedd8) modification and the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway, thereby establishing a metabolic-signaling positive feedback loop. As a core executor of metabolic reprogramming, FASN promotes tumorigenesis through dual mechanisms. First, its fatty acid synthesis product, palmitate, participates in membrane phospholipid synthesis, lipid raft formation, and protein palmitoylation, thereby activating several key oncogenic signaling pathways, including PI3K/AKT/mTOR, wingless-type MMTV integration site family member (Wnt)/β-catenin, and signal transducer and activator of transcription 3 (STAT3)/matrix metalloproteinase (MMP), leading to tumor development and progression. Second, FASN plays a pivotal role in modulating the anti-tumor functions of immune cells and remodeling the tumor immune microenvironment. Specifically, FASN enhances immune checkpoint inhibition by inducing programmed death-ligand 1 (PD-L1) palmitoylation, suppresses the activation of cytotoxic T lymphocytes and natural killer cells, and promotes the polarization of M2-type macrophages, consequently facilitating tumor immune evasion and malignant progression. Precisely due to its significant overexpression in tumor cells, its critical functional role, and its differential expression compared to normal cells, FASN has emerged as a highly promising target for anti-tumor drug development. Highly selective small-molecule inhibitors, notably represented by TVB-2640, have advanced to clinical trial stages and demonstrated favorable anti-tumor activity. Furthermore, the combination of FASN inhibitors with other chemotherapeutic agents or targeted drugs can overcome the limitations of monotherapy through synergistic effects or by resensitizing tumor cells to conventional drugs, achieving a “1+1>2” therapeutic outcome. With the advancement of modern traditional Chinese medicine (TCM), numerous active ingredients derived from TCM have been confirmed to exert anti-tumor effects by modulating FASN-related pathways. This integrated approach leverages the precision of Western medicine while simultaneously harnessing the holistic regulatory benefits of TCM to alleviate the side effects of radiotherapy and chemotherapy. Despite the promising prospects of FASN-targeted therapies, challenges remain, including tumor cell metabolic plasticity, tumor context-dependent responses, and heterogeneity. This review systematically summarizes the molecular structure, physiological functions, and mechanisms of FASN in tumorigenesis, as well as recent advances in targeted therapies. Future directions—including the precise identification of responsive patient populations using spatial transcriptomics, the development of novel combination regimens, and the active exploration of integrative strategies combining traditional Chinese and Western medicine—will facilitate the clinical translation of FASN-targeted therapies and open new avenues for improving the quality of life and prognosis of cancer patients.]]> 2026/3/18 14:48:35 et al. (2025) based on low-input proteomic approaches systematically charted protein dynamics from oocytes to blastocysts in both mice and humans, further interrogating molecular signatures of developmentally compromised human embryos at the single-embryo level. This work not only substantially expands proteome coverage during early development, but also reveals a pervasive uncoupling between transcriptional activation, translational initiation, and protein accumulation. These findings provide new perspectives on the relationship between zygotic genome activation (ZGA) and lineage specification. This paper discussed the central role of low-input proteomics in this study, highlighted its implications for reshaping current paradigms of early embryonic development, and considered its potential applications across broader areas of biomedical research.]]> 2026/3/17 15:02:15 Objective The exacerbating trend of global population aging poses profound socioeconomic and public health challenges, making the comprehensive elucidation of biological aging mechanisms and the discovery of effective anti-aging interventions an urgent priority in the life sciences. Based on our previous serum metabolomics findings that dimethylglycine, an intermediate metabolite of amino acid metabolism naturally present in the human body, was significantly enriched in the serum of longevity families, this study aimed to systematically investigate the anti-aging effects of dimethylglycine both in living organisms and in controlled laboratory environments, and to preliminarily elucidate its underlying molecular mechanisms. While existing literature indicates that dimethylglycine possesses antioxidant and immunomodulatory properties, its direct anti-aging efficacy and the specific molecular pathways through which it operates remain largely unexplored.Methods To comprehensively evaluate the anti-aging properties of dimethylglycine, we utilized replicative senescent human embryonic lung fibroblasts, specifically the WI-38 cell line, as an experimental model in a controlled laboratory environment. Cell viability and safety were thoroughly assessed using Cell Counting Kit-8 and lactate dehydrogenase release assays across various concentrations of dimethylglycine. The impact of dimethylglycine on cellular senescence phenotypes, oxidative stress, and proliferative capacity was evaluated via senescence-associated beta-galactosidase staining, reactive oxygen species fluorescence detection, and 5-ethynyl-2"-deoxyuridine incorporation assays. Furthermore, the molecular alterations of senescence-associated secretory phenotype factors and core senescence signaling pathways were quantified using quantitative reverse transcription polymerase chain reaction for the messenger RNA levels of interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1, and enzyme-linked immunosorbent assay for the measurement of p16 and p21 protein expression levels. For the living organism model, the wild-type nematode Caenorhabditis elegans was used to evaluate systemic physiological effects. We conducted a comprehensive lifespan analysis at 20°C, heat stress resistance survival assays at 35℃, senescence-associated beta-galactosidase staining, lipofuscin accumulation tracking, intracellular reactive oxygen species measurement, and Oil Red O staining to ascertain systemic lipid accumulation. Additionally, network pharmacology bioinformatics tools, including PharmMapper and STRING databases, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were utilized to predict target pathways, alongside highly detailed molecular docking simulations utilizing SwissDock and Protein-Ligand Interaction Profiler to examine interactions with the cytochrome P450 family 2 subfamily C member 9 protein.Results The experimental outcomes robustly demonstrate the potent anti-aging capabilities of dimethylglycine. At the cellular level, toxicity analyses firmly confirmed that dimethylglycine is highly safe; continuous treatment with 50 mol/L and 70 mol/L of dimethylglycine for 5 d did not induce any cellular membrane damage or cytotoxicity, but rather actively promoted cellular proliferation. Utilizing the optimal standardized concentration of 50 mol/L, dimethylglycine treatment significantly ameliorated senescent phenotypic markers in human embryonic lung fibroblasts, which was evidenced by a drastic and highly significant reduction in the senescence-associated beta-galactosidase positive cell percentage (P<0.000 1) and intracellular reactive oxygen species levels (P<0.000 1), alongside a marked increase in the 5-ethynyl-2"-deoxyuridine-positive proliferation rate (P=0.003 5). On a molecular expression scale, dimethylglycine significantly downregulated the messenger RNA expression of multiple core senescence-associated secretory phenotype inflammatory factors, including interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1. Concurrently, it effectively suppressed the protein expression of critical cell cycle arrest markers, diminishing p16 protein levels by 57.3% (P=0.000 4) and p21 protein levels by 27.2% (P=0.000 7). In the nematode Caenorhabditis elegans animal model, dimethylglycine significantly extended the mean lifespan from 20.402 d to an impressive 23.066 d (P<0.000 1) and notably enhanced overall survival rates under severe heat stress environmental conditions (P=0.017). Furthermore, systemic dimethylglycine intervention significantly mitigated age-related physiological decline by decreasing bodily lipofuscin accumulation (P<0.000 1), significantly reducing senescence-associated beta-galactosidase activity, lowering systemic reactive oxygen species fluorescence (P=0.008), and effectively alleviating overall fat accumulation (P<0.000 1). Mechanistically, extensive network pharmacology and Kyoto Encyclopedia of Genes and Genomes analyses strongly revealed that the potential targets of dimethylglycine are significantly enriched in fundamental drug metabolism and oxidative stress response pathways. Precision molecular docking simulations conclusively demonstrated that dimethylglycine forms highly stable structural interactions with the cytochrome P450 family 2 subfamily C member 9 protein, specifically highlighting the definitive formation of 5 stable hydrogen bonds involving serine 365, leucine 366, and serine 429 residues, as well as two critical salt bridge formations with arginine 97 and histidine 368 residues. It is additionally predicted to interact favorably with glutathione S-transferase family proteins.Conclusion Dimethylglycine exhibits a profoundly significant and multifaceted anti-aging activity at both the cellular and entire living animal levels. By powerfully alleviating oxidative stress, heavily suppressing the core p16 and p21-dependent cellular senescence signaling pathways, and substantially mitigating the detrimental senescence-associated secretory phenotype, dimethylglycine effectively delays fundamental cellular senescence processes and drastically extends whole-organism lifespan. The biological mechanisms driving these robust protective effects are highly likely closely associated with its direct stable interactions with crucial metabolic and detoxifying enzyme systems, such as cytochrome P450 family 2 subfamily C member 9 and glutathione S-transferase family proteins, thereby systemically improving metabolic dysregulation and restoring critical redox homeostasis. This comprehensive study provides highly solid experimental evidence supporting dimethylglycine as a highly potent and safe potential anti-aging intervention agent, while simultaneously offering a clear molecular mechanistic explanation for the previously documented high abundance of dimethylglycine observed within exceptionally long-lived human populations.]]> 2026/3/17 14:24:44 Objective The most prevalent mRNA modification, N6-methyladenosine (m⁶A) plays an important role in various RNA metabolism, including gene expression and translation. By recruiting different “reader” proteins and their cofactors, m⁶A modification can affect messenger RNA (mRNA) degradation, splicing, nuclear export and translation. However, the selective mechanism by which m⁶A sites regulate mRNA translation through m⁶A reader YTHDF1 binding remains poorly understood, due to a lack of computational methods for identifying context-specific m⁶A sites that regulate translation. To address this, we developed a novel computational framework named m⁶ATEpre, the first tool designed to predict cell-specific m⁶A sites that regulate translation efficiency.Methods m⁶ATEpre integrates multi-omics data, introduces a novel feature representation strategy for m⁶A site sequences, and employs an autoencoder to effectively capture embedded feature representations. Specifically, m⁶ATEpre first integrated MeRIP-seq data and PAR-CLIP data through overlapping m⁶A sites with YTHDF1 binding sites and identified YTHDF1-mediated m⁶A sites. Then, m⁶ATEpre detected the translation gene by analyzing the Ribo-seq data under YTHDF1 knockdown vs control condition. Genes whose translation is mediated by YTHDF1 in an m⁶A-dependent manner were identified by a significant decrease in translation efficiency upon YTHDF1 knockdown. Next, we proposed a binary vector indicating the presence or absence of YTHDF1 binding motifs to characterize each m⁶A site sequence. This represents a novel feature representation strategy for m⁶A sites. m⁶ATEpre utilized the autoencoder to extract the potentially important feature representations and constructed a multilayer perceptron neural networks model to predict potential m⁶A sites that regulating translation efficiency.Results A comprehensive evaluation of m⁶ATEpre was conducted through a series of experiments. We compared its performance against that of a similar prediction task model, as well as other classifiers. The results indicate that m⁶ATEpre achieved the best prediction performance. In addition, we analyzed different feature representation strategies and performed ablation experiments to validate the rationality of the model design. The results demonstrate that our proposed feature representation strategy has a greater advantage in improving prediction performance. In the HeLa cell line, bioinformatic analysis of the metagene distribution and sequence minimum free energy of m⁶A sites regulating translation efficiency (m⁶A-reg-TE sites) revealed their specific properties in translation regulation. Functional enrichment analysis indicated that m⁶A-reg-TE genes are associated with specific biological processes and KEGG pathways. By integrating the binding sites of YTHDF1 co-factors with m⁶A-reg-TE sites, we revealed that YTHDF1-mediated and m⁶A-dependent translation efficiency regulation requires the cooperation of multiple translation-regulatory RNA-binding proteins among its co-factors in the HeLa cell line. Furthermore, we extended our predictions to the dataset of the HEK293T cell line. Similarly, bioinformatic analysis of the metagene distribution and functional enrichment revealed the cell-specific characteristic of these predicted m⁶A-reg-TE sites in HEK293T cells. Likewise, integrated analysis of multiple YTHDF1 co-factors and m⁶A-reg-TE sites predicted in the HEK293T cell line reveals their m⁶A-dependent cooperation in regulating translation efficiency.Conclusion m⁶ATEpre is a timely tool that will advance our understanding of the mechanisms of m⁶A regulation in translation efficiency. The source code and datasets used in this work can be downloaded from https://www.scidb.cn/s/bAZZFr.]]> 2026/3/17 11:29:07 2026/3/16 11:18:30 Objective This study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms.Methods Luteolin was identified as the primary active compound from the polyphenol extract of F. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed.Results Luteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice.Conclusion Luteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.]]> 2026/3/15 9:25:39 Objective Cerebrospinal fluid (CSF) plays a crucial role in maintaining the homeostasis of the central nervous system (CNS). CSF rapidly exchanges with interstitial fluid (ISF) via the glymphatic system within the brain parenchyma. CSF-ISF circulation and its associated mechanisms are often referred to as the brain lymphatic system. This system is connected directly to meningeal lymphatic vessels (mLVs), jointly performing the function of clearing metabolic waste from the CNS. Emerging evidence indicates that this system is closely associated with the onset and progression of neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD). Importantly, abnormal CSF circulation is not only a downstream consequence of AD pathology, but also a risk factor. In AD, the dynamics of CSF flow within the CNS are diminished, immune dysregulation occurs, and this may increase the risk of AD by exacerbating the burden of amyloid β-protein (Aβ). In the mouse model of AD, impaired CSF flow compromises this clearance function, leading to cognitive deficits. Clinically, acupuncture at cognition-related acupoints is commonly used for the prevention and treatment of AD. However, whether its therapeutic effects are mediated through the modulation of CSF dynamics remains unclear. This study aimed to evaluate the impact of acupuncture on CSF flow and investigate its acupoint specificity.Methods Mice were randomly assigned to experimental groups for the different electroacupuncture groups with the following acupoints: Baihui point (GV 20), Ear point, Neiguan point (PC 6), and Tianshu point (ST 25). Wild-type mice on a C57BL/6J background were used as controls. Fluorescent tracer was injected into the cisterna magna to label CSF flow. Fluorescence imaging was employed to assess the distribution of CSF within the brain before and after acupuncture stimulation.Results Following tracer injection into the cisterna magna, fluorescence signals rapidly reached the cerebellum and medulla—the regions closest to the injection site. Fluorescence intensity was higher in ventral brain regions compared to dorsal regions, likely due to greater vascular density in ventral areas facilitating CSF-ISF exchange. Electroacupuncture at the GV 20 produced the most pronounced enhancement of CSF across the whole brain, while stimulation at the ST 25 primarily augmented flow within subcortical regions. In contrast, electroacupuncture at the Ear point or the PC 6 had no observable effect on CSF in mice.Conclusion Electroacupuncture promotes CSF flow into the brain parenchyma in an acupoint-specific manner, with GV 20 exhibiting the most pronounced enhancement of CSF dynamics. These findings suggest that acupuncture-mediated facilitation of CSF flow may represent a potential therapeutic strategy for preventing or delaying age-related cognitive decline.]]> 2026/3/12 23:03:55 de novo lipogenesis (DNL), fatty-acid oxidation (FAO), and very low-density lipoprotein (VLDL) export. Forkhead box protein O1 (FOXO1) is a key transcriptional regulator within the hepatic network coordinating glucose and lipid metabolism. Under metabolic stress and insulin resistance (IR), FOXO1 expression is frequently increased, whereas its inhibitory phosphorylation is reduced. These changes enhance FOXO1 nuclear localization and transcriptional activity, thereby reprogramming the expression of genes related to metabolism in the liver. Because hepatic lipid deposition is the central pathological feature of MAFLD, the functional status of FOXO1 directly influences hepatic lipid homeostasis. Growing evidence suggests that FOXO1 can exert bidirectional, environment-dependent effects on hepatic lipid accumulation; however, the molecular basis for this functional switch remains incompletely understood. This review systematically summarizes the biological functions and regulatory mechanisms of FOXO1 and its roles in hepatic lipid metabolism, with a particular focus on its crosstalk with insulin signaling. FOXO1 expression is shaped by RNA modifications and epigenetic regulation mediated by non-coding RNAs. Its transcriptional output is precisely governed by post-translational modifications—such as phosphorylation and acetylation—as well as by coordinated nucleocytoplasmic shuttling. Notably, these regulatory patterns vary markedly across nutritional states, degrees of insulin resistance, and stages of disease. In the fed state, insulin/IGF-1 signaling activates the PI3K-AKT pathway, promoting the inhibitory phosphorylation of FOXO1 and facilitating additional modifications, including acetylation, methylation, and ubiquitination. Together, these events drive FOXO1 export from the nucleus and dampen its transcriptional activity, suppressing gluconeogenesis and constraining lipogenic programs. Conversely, during fasting or when insulin signaling is weakened, FOXO1 inhibition is relieved. FOXO1 accumulates in the nucleus, binds to DNA, and regulates the transcription of downstream target genes. Mechanistically, FOXO1 can aggravate hepatic lipid accumulation by activating genes involved in TG synthesis while repressing FAO-related pathways, thereby favoring storage over oxidation. However, under specific conditions, FOXO1 may also alleviate the hepatic lipid burden by promoting TG hydrolysis and enhancing VLDL secretion, thereby reducing the net hepatic lipid load. In addition, lipotoxic signals mediated by ceramides and diacylglycerols (Cer/DAG) activate atypical protein kinase C (aPKC), further exacerbating the disruption of the AKT-FOXO1 axis. This vicious cycle ultimately produces a metabolic paradox in which increased hepatic glucose output coexists with persistent, insulin-independent lipogenesis, accelerating MAFLD progression. Importantly, FOXO1 regulation is not uniform: during early metabolic overload, insulin-mediated suppression may remain effective, whereas in advanced insulin resistance, the loss of AKT control permits sustained FOXO1 activity. Such stage-dependent dynamics may help explain why FOXO1 can either promote steatosis or, in certain contexts, support programs that facilitate lipid turnover. Accordingly, interventions should be liver-specific and tuned to the disease stage, aiming to curb maladaptive FOXO1 signaling while preserving its capacity to promote triglyceride hydrolysis and VLDL secretion when advantageous. Overall, this review offers an important perspective on MAFLD pathogenesis, emphasizing FOXO1 as a potential therapeutic target and providing a theoretical basis for developing liver-specific, disease-course-dependent precision interventions.]]> 2026/3/10 22:07:40 via the STAT3/HIF1α signaling axis to induce autophagy, supporting stem cell survival. In head and neck squamous cell carcinoma, degradation of GSK3β activates the Wnt pathway, enhancing stemness. Conversely, this pathway can suppress stemness by degrading stemness-related proteins such as BMI-1 and OCT4A, thereby impairing CSC self-renewal capacity. (ii) Mitophagy pathway. In non-small cell lung cancer stem cells, mitophagy-related mechanisms, such as the accumulation of mitochondrial DNA (mtDNA) activating the TLR9-Notch1-AMPK signaling axis, have been shown to promote CSC proliferation. (iii) Autophagosome-dependent lysosomal degradation pathway. This pathway directly regulates stemness-related proteins in a bidirectional manner. Enhanced degradative function can promote CSC properties, exemplified by the degradation of NUMB to activate Notch signaling. Conversely, attenuated degradative function can also enhance stemness by stabilizing oncoproteins (e.g., protecting Frizzled-1 from degradation to sustain Wnt signaling) or preventing the degradation of tumor suppressors (e.g., inhibiting Notch degradation). (2) Constituent proteins of lysosomes, including membrane proteins and luminal acid hydrolases, participate in regulating CSC stemness. Regarding membrane proteins, LAMP2A facilitates chaperone-mediated autophagy to maintain stemness in glioblastoma and ovarian cancer. V-ATPase, by maintaining an acidic luminal environment, promotes proliferation and drug resistance in glioma stem cells. Among hydrolases, cathepsins B and L are highly expressed in pancreatic and ovarian cancers and correlate with poor prognosis. Furthermore, targeting lysosomes to induce lysosomal membrane permeabilization (LMP) triggers lysosome-mediated cell death, presenting a potential therapeutic strategy for eradicating CSCs. (3) The acidic luminal environment, single-membrane structure, and the presence of transmembrane transporters (e.g., ABCA3) enable lysosomes to passively trap or actively uptake and sequester chemotherapeutic drugs. Subsequent drug extrusion via exocytosis confers drug resistance. In CSCs, this lysosome-mediated drug sequestration, often cooperating with autophagy, establishes multimodal drug resistance. Therefore, targeting lysosomal function represents a potential strategy to overcome therapy resistance. The central role of lysosomes in regulating CSC stemness and resistance positions them as highly promising therapeutic targets. Strategies aimed at disrupting lysosomal function to selectively eliminate CSCs include: inhibiting the lysosome-autophagy system using agents like IITZ or lovastatin; inducing lysosomal membrane permeabilization (LMP) with compounds such as hexamethylene amiloride to compromise membrane stability; and disrupting the acidic luminal environment using drugs like siramesine or the K/H transport compound 2. In conclusion, lysosomes critically regulate CSC stemness maintenance and drug resistance through degradative pathways, membrane protein functions, luminal hydrolase activities, and drug sequestration mechanisms. This redefines the lysosome from a traditional “waste disposal unit” to a “signal integration center” in CSCs. The duality and context-dependency of lysosomal function in CSCs offer novel insights into the heterogeneity observed across different tumors. Targeting lysosomal vulnerabilities—such as inducing LMP, disrupting acidity, or blocking autophagic flux—provides a strategy to bypass canonical CSC resistance mechanisms and directly trigger cell death. This establishes the lysosome as a key target to overcome CSC-mediated therapy resistance, paving the way for developing diverse candidate drugs and innovative combination therapies in oncology.]]> 2026/3/10 20:39:42 de novo sequencing technology. These strategies enable multi-level, high-precision characterization ranging from peptides and domains to intact antibody molecules. Unlike the shotgun strategy commonly used in routine proteomics, obtaining full sequences of all antibodies presents unique challenges. It requires specialized methodological adaptations to address issues related to dynamic range, sequence variation, and sample complexity. This review introduces the technical principles, methodological workflows, and recent applications of various mass spectrometry-based antibody repertoire sequencing (Ab-seq) strategies, with a focus on approaches designed to improve sequence coverage and identification accuracy. These include multi-enzyme digestion, hybrid fragmentation methods, and artificial intelligence-assisted de novo sequencing. By systematically comparing database-dependent techniques—such as bottom-up, middle-down, and top-down approaches—with database-independent de novo sequencing, this review outlines their respective advantages and limitations in terms of sample throughput, sequence coverage, post-translational modification characterization, and data analysis complexity. In addition, this review discusses emerging technological trends, including the integration of ion mobility separation, native mass spectrometry, and artificial intelligence-driven data interpretation, which are expected to enhance the depth and accuracy of antibody characterization. Although current methods continue to face challenges related to sample complexity, dynamic range, and unambiguous sequence variant assignment, we emphasize the importance of integrating BCR-seq and Ab-seq data to construct gene-protein association maps. These maps help validate sequence accuracy and facilitate epitope discovery. This dual-platform strategy helps bridge the gap between genotype and phenotype, thereby enhancing both the resolution and scope of antibody repertoire studies. Such an integrative approach also offers a valuable tool for therapeutic antibody development, structure-function analysis, and precise evaluation of vaccine efficacy.]]> 2026/3/6 22:33:44 2026/3/6 19:02:39 via linewidth analysis of known structures (e.g., microtubules) or edge-spread function measurements, capturing the effects of photobleaching and sample-induced aberrations. A major paradigm shift is parameter-free resolution estimation based on decorrelation analysis. This method analyzes the autocorrelation decay of a single image’s Fourier spectrum to identify the cutoff spatial frequency without requiring dual datasets or user-defined thresholds. Its high efficiency and broad applicability have been validated across widefield, confocal, STED, SIM, and SMLM modalities. Optimized rendering strategies for SMLM data further enhance its accuracy, and it is emerging as a tool for real-time optimization of experimental parameters. The review also addresses the “gold standard” of resolution validation using well-defined nanostructures, such as DNA origami and nuclear pore complexes, which provide ground truth for verifying resolution claims and detecting artifacts. In the era of artificial intelligence, deep learning plays a dual role: it powerfully enhances image resolution but also introduces challenges, as models may generate “hallucinations” or false details. This underscores the need for new validation metrics to verify the physical fidelity of AI-generated content. Finally, we outline future directions: developing unified cross-modality standards, enabling real-time dynamic resolution monitoring for live-cell imaging, creating techniques for generating local resolution maps to capture sample heterogeneity, and integrating intelligent error correction to ensure data veracity. By providing a comprehensive overview of resolution assessment progress and challenges, this review aims to equip researchers with the knowledge to select appropriate tools, thereby fostering rigorous quantitative imaging in the life and material sciences.]]> 2026/3/6 8:29:29 2026/3/4 14:24:32 in vivo antigen expression to enhance the persistence of immune responses. Moreover, the LNP delivery system not only protects mRNA from degradation and mediates endosomal escape but also synergizes with mRNA to optimize immune activation via self-adjuvant effects. Importantly, mRNA platforms circumvent the pre-existing immunity associated with viral vectors and the genomic integration risks of DNA vaccines, positioning them as a cornerstone for global pandemic preparedness. This review systematically delineates recent advances in mRNA technology for HIV-1 vaccine development, focusing on four pivotal research frontiers. First, mRNA innovations building upon the RV144 trial optimize antigens through codon modification and multivalent designs to induce more durable and broad-spectrum immunity. Second, particulate mRNA vaccine strategies, utilizing virus-like particles (VLPs) and ferritin nanoparticles, achieve in situ antigen self-assembly, significantly enhancing B cell activation and reducing infection risks in non-human primate models. Third, germline-targeting mRNA vaccines address the low-affinity barrier of broadly neutralizing antibody (bNAp) precursors, efficiently activating rare precursor B cells and promoting affinity maturation. Fourth, therapeutic mRNA vaccines offer unique advantages for an HIV functional cure; combining immunogens with mRNA-encoded adjuvants potentiates cellular immunity, while LNP-mediated “shock-and-kill” strategies specifically activate latent reservoirs to guide immune clearance. Comparative analyses with traditional platforms reveal that mRNA technology redefines antigen production and presentation, simulating chronic infection through sustained expression and enabling dual-pathway presentation via endogenous synthesis. Furthermore, we explore the mechanistic innovations of mRNA vaccines in inducing bNAps: sustained in vivo production prolongs the activation window for precursor B cells and maintains germinal center (GC) reactions; endogenously expressed antigens adopt native conformations to expose conserved epitopes; and self-adjuvanting effects modulate the functions of antigen-presenting cells (APCs) and follicular helper T cells (Tfh), driving somatic hypermutation and affinity maturation. We also address critical clinical translation challenges, including immune durability, adaptability to special populations, and large-scale LNP manufacturing, while proposing targeted optimization strategies. In conclusion, this review establishes a theoretical framework for utilizing mRNA technology to overcome HIV-1 immune escape, transitioning from a descriptive paradigm to a problem-solving-based synthesis of evidence. By integrating preclinical and early clinical data, we bridge the gap between basic design and translational verification. mRNA technology is poised to become a central pillar in HIV-1 prevention and therapy, providing a robust toolset to achieve the global goal of ending the AIDS pandemic and offering a blueprint for vaccine development against other recalcitrant infectious diseases.]]> 2026/3/4 10:16:09 Objective The malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei.Methods In Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1?) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1? parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1?-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1? and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice.Results PbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1? parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1?-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1?-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1? parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites.Conclusion This study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.]]> 2026/3/1 21:36:43 2026/3/1 21:28:47 via multivesicular body fusion, microvesicles bud directly from the plasma membrane, and apoptotic bodies are released during programmed cell death. By shuttling diverse bioactive cargoes—including proteins, lipids, and nucleic acids such as mRNA, miRNA, and DNA—EVs exert dual modulatory effects on tumor initiation, progression, and immune evasion. Importantly, EVs exhibit remarkable compositional heterogeneity that is intrinsically linked to their cellular origin. Tumor-derived EVs (TDEVs) are typically enriched with immunosuppressive molecules like PD-L1, TGF-β, and miR-21, which promote tumor immune escape and metastasis. In contrast, EVs derived from immune cells, such as dendritic cells or cytotoxic T lymphocytes, often carry immunostimulatory components including antigens, co-stimulatory molecules, and granzymes, thereby potentiating anti-tumor immunity. This review systematically delineates the biogenesis and molecular composition of EVs, with a particular emphasis on their dynamic regulatory functions within the TME. Specifically, we discuss how EVs mediate intricate crosstalk between immune and tumor cells, facilitating signal transfer that reshapes immune surveillance. For instance, TDEVs can induce macrophage polarization toward an M2-like pro-tumor phenotype, while also suppressing natural killer cell cytotoxicity and dendritic cell maturation. The clinical utility of EV-associated biomarkers in liquid biopsy is increasingly recognized. Circulating EVs carry tumor-specific molecular signatures that mirror the genetic and proteomic alterations of primary tumors, enabling non-invasive early diagnosis, molecular subtyping, and real-time monitoring of therapeutic responses. Their natural biocompatibility, low immunogenicity, and intrinsic ability to traverse biological barriers make them ideal candidates for drug delivery systems. This review explores cutting-edge applications, including the use of EVs in immune checkpoint blockade therapy—for instance, engineered EVs displaying anti-PD-1 antibodies or carrying siRNA to silence immunosuppressive genes. Moreover, EV-based tumor vaccines are being developed, leveraging dendritic cell-derived EVs loaded with tumor antigens to elicit potent T cell responses. The feasibility of loading EVs with therapeutic molecules such as chemotherapeutic agents, oncolytic viruses, or CRISPR-Cas9 components is also under active investigation. The advent of engineered EVs has further expanded their therapeutic potential. Through surface modification or cargo encapsulation, EVs can be tailored for targeted delivery and controlled release, enhancing precision immunotherapy. However, several hurdles impede clinical translation. Current isolation and purification methods, such as ultracentrifugation and size-exclusion chromatography, suffer from low yield and purity. Distinguishing EV subpopulations remains technically challenging due to overlapping size and marker expression. Moreover, the lack of standardized protocols for EV production, characterization, and quality control poses significant barriers to regulatory approval and clinical adoption. Looking forward, the convergence of multi-omics technologies with artificial intelligence offers a powerful approach to decipher EV heterogeneity and identify robust diagnostic signatures. Machine learning algorithms can integrate proteomic, transcriptomic, and lipidomic data from large patient cohorts to construct predictive models for cancer diagnosis and prognosis. Concurrently, advances in bioengineering are enabling the design of next-generation EVs with enhanced targeting specificity, on-demand drug release, and reduced off-target effects. Future efforts should also focus on establishing good manufacturing practice (GMP)-compliant production processes and conducting rigorous preclinical and clinical evaluations. In summary, this review provides a comprehensive overview of EV biology, their multifaceted roles in the TME, and their transformative potential in cancer diagnostics and therapeutics. By addressing current challenges and leveraging emerging technologies, EV-based strategies are poised to revolutionize precision oncology.]]> 2026/2/28 22:22:53 Objective Gastric hemorrhage is one of the most common and life-threatening emergencies of the upper digestive tract. Early identification and continuous monitoring are essential for reducing rebleeding rates and mortality, particularly within the critical early hours after onset. Although endoscopy and radiological imaging can accurately localize bleeding sites, these approaches are invasive, resource-intensive, and unsuitable for continuous bedside monitoring. Electrical impedance tomography (EIT), as a noninvasive and radiation-free functional imaging technique, offers real-time visualization of conductivity distribution and has the potential for detecting intragastric bleeding based on the electrical contrast between blood and surrounding gastric tissues. In this study, a three-dimensional gastric EIT (3D-gEIT) framework is proposed to achieve noninvasive, real-time, and dynamic monitoring of gastric hemorrhage, with emphasis on spatial localization and quantitative volume assessment.Methods A three-dimensional upper-abdominal simulation model incorporating the stomach, gastric wall, gastric contents, and surrounding tissues was established. Three electrode configurations, namely the dual layer ring, the four layer staggered ring, and the opposed dual plane array, were designed and systematically compared to evaluate their influence on depth sensitivity and spatial resolution. Based on the Tikhonov-Noser hybrid regularization scheme, a region-clustering constraint was introduced to develop the TK-Noser-RCC algorithm. This approach aggregates spatially adjacent elements with similar conductivity variations, thereby enhancing structural continuity and suppressing isolated noise artifacts. To validate the proposed framework, an upper-abdominal physical phantom was constructed using agar to simulate background tissue conductivity. Hemispherical high-conductivity inclusions with volumes ranging from 10 ml to 50 ml were attached to the inner gastric wall to mimic localized bleeding under different gastric filling states. Boundary voltages were acquired under a 120 kHz excitation current and reconstructed using the TK-Noser-RCC algorithm. Furthermore, an in vivo animal experiment was performed using a porcine model with adult-scale abdominal dimensions. A total of 100 ml of autologous blood was injected incrementally into the stomach to simulate progressive gastric hemorrhage, and time-difference EIT reconstruction was conducted at each injection stage to assess the dynamic system response under physiological conditions.Results Simulation results demonstrated that the opposed dual-plane electrode array achieved superior depth sensitivity distribution and spatial resolution. For a 40 ml hemorrhage model, the average ICC and SSIM improved by 55.9% and 38.8% compared with the dual-layer ring configuration, and by 64.0% and 39.5% compared with the four-layer staggered configuration. The proposed region-clustering constraint significantly enhanced reconstruction stability. Under added Gaussian noise of 40 dB and 30 dB, ICC values remained approximately 0.85, indicating effective artifact suppression and preservation of boundary integrity. In physical phantom experiments, reconstructed hemorrhage volumes increased approximately linearly with the preset hemispherical volumes, and the reconstructed high-conductivity regions closely matched the actual bleeding locations. Both empty-stomach and full-stomach conditions were evaluated, demonstrating that the opposed dual-plane configuration maintained stable imaging performance across varying gastric contents. In the animal experiment, reconstructed low-impedance regions expanded progressively with increasing injected blood volume. The spatial localization of the hemorrhage remained stable throughout the procedure, and no significant artifacts were observed. Quantitative analysis showed that reconstructed volume and average conductivity variation exhibited an approximately linear growth trend with injected blood volume, confirming the sensitivity of the system to dynamic intragastric conductivity changes.Conclusion The proposed 3D-gEIT framework enables quantitative reconstruction of gastric hemorrhage volume and spatial distribution with improved depth sensitivity, structural continuity, and noise robustness compared with conventional EIT approaches. By integrating optimized electrode configuration and a region-clustering-constrained reconstruction algorithm, the system provides stable dynamic monitoring under both controlled phantom conditions and in vivo physiological environments. This method offers a noninvasive, real-time, and low-cost imaging strategy for early diagnosis, postoperative monitoring, and bedside surveillance of gastric bleeding.]]> 2026/2/26 8:24:40 Objective The widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices.Methods Our approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms.Results Comprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range.Conclusion This work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.]]> 2026/2/11 8:55:38 2026/2/11 8:54:31 + modification), but also highlights their remarkable chemical plasticity and evolutionary innovative capacity. It provides a new perspective for understanding the origin and diversity of immune signaling.]]> 2026/2/10 17:19:05 Objective Photoacoustic tomography (PAT) holds significant potential for high-resolution deep-tissue imaging. In preclinical research, custom-designed concave arc-shaped ultrasound transducer arrays are often used to maximize the detection aperture. However, manufacturing limitations and assembly tolerances frequently cause the actual physical positions of array elements to deviate from their theoretical design. Additionally, concave arrays are typically covered with an acoustic lens, which introduces a mismatch in the speed of sound between the coupling medium and the lens material. The combination of these geometric and acoustic-phase errors leads to severe image artifacts, reduced contrast, and degraded resolution. This study proposes a systematic two-step calibration strategy to address these issues and substantially improve image quality.Methods First, a high-intensity isotropic photoacoustic point source was constructed using a multi-mode optical fiber coated with carbon nanotubes (CNTs) to acquire high signal-to-noise ratio calibration data. The Akaike information criterion (AIC) was employed to accurately determine the time of arrival (ToA) of photoacoustic signals. Subsequently, a geometric calibration algorithm based on nonlinear least-squares (NLS) estimation was developed. This algorithm iteratively solves for the true spatial coordinates of each array element by minimizing the residual between theoretical and measured acoustic path lengths. To further address sound-speed inhomogeneity caused by the acoustic lens, a phase compensation algorithm based on bilinear interpolation was proposed. This algorithm computes a pixel-specific phase delay map across the imaging region and performs point-by-point signal correction during delay-and-sum (DAS) reconstruction. The proposed methods were validated using a custom 96-channel concave arc-shaped array (center frequency: 12 MHz) through both phantom imaging and in vivo mouse tumor models.Results Phantom experiments showed that at an imaging depth of 14 mm, the reconstruction position deviation of the point source in the uncalibrated system reached up to 1 mm. After applying the combined calibration, the lateral resolution (full width at half maximum, FWHM) at the focal point of the arc array reached 95 μm—representing a 85% reduction compared to the uncalibrated state and a 79% reduction compared to geometric calibration alone without phase compensation. In vivo experiments demonstrated that the calibrated system clearly resolved the microvascular network of subcutaneous tumors in mice. Photoacoustic signals were strictly confined within tumor boundaries delineated by ultrasound imaging (USI), eliminating the vascular spillover artifacts commonly observed in uncalibrated images. Furthermore, after intravenous injection of indocyanine green (ICG), the system successfully detected weak photoacoustic signals at a depth of 5 mm, performing significantly better than the uncalibrated system.Conclusion The proposed calibration method, which integrates nonlinear least-squares estimation with phase compensation, significantly improves image fidelity and spatial resolution consistency across a wide field of view by correcting systemic geometric errors and acoustic phase aberrations. This approach demonstrates high robustness and provides a reliable technical foundation for the clinical translation of photoacoustic probes with non-standard geometries.]]> 2026/2/10 11:03:13 2026/2/9 14:36:43 2026/2/9 10:56:37 Objective Biochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research.Methods Using the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature.Results The results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education.Conclusion This study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.]]> 2026/2/9 7:23:36 Objective Post-ischemic acute inflammation and the subsequent persistent dysregulation of the immune microenvironment represent major pathological drivers that aggravate neuronal injury and severely restrict functional recovery following ischemic stroke. Although current reperfusion therapies partially restore blood flow, they fail to effectively modulate the secondary inflammatory cascade and oxidative stress, which remain critical barriers to neurological restoration. To address this challenge, this study aimed to engineer and systematically evaluate a biomimetic nanosystem composed of transforming growth factor-β1 (TGF-β1)-loaded platelet membrane-camouflaged lipid nanoparticles (PLP). This nanosystem was designed to achieve dual lesion-targeted delivery and immune microenvironment remodeling. By verifying its spatiotemporal accumulation, anti-inflammatory activity, and neuroprotective efficacy, we sought to establish an integrated therapeutic strategy that simultaneously enables lesion targeting, immune regulation, and functional recovery after ischemic injury.Methods The physicochemical properties of PLP, including hydrodynamic particle size, zeta potential, structural stability, and morphology, were characterized using dynamic light scattering, zeta potential analysis, and transmission electron microscopy. The preservation of platelet membrane-derived adhesion and immunoregulatory proteins was confirmed by SDS-PAGE through comparative analysis of protein band profiles between PLP and native platelet membranes. The in vitro biological activities of PLP were evaluated using two complementary cellular models. LPS-induced M1-polarized RAW264.7 macrophages were employed to assess inflammatory modulation, while oxygen glucose deprivation/reperfusion (OGD/R)-induced BV2 microglial cells and SH-SY5Y neuronal cells were utilized to investigate neuroinflammatory regulation and neuronal protection. For in vivo validation, a transient middle cerebral artery occlusion (tMCAO) mouse model was established to mimic ischemia-reperfusion injury. The spatiotemporal biodistribution and lesion-targeting capability of the PLP were monitored through live fluorescence imaging. Therapeutic efficacy was comprehensively evaluated by triphenyltetrazolium chloride (TTC) staining, glial fibrillary acidic protein (GFAP) immunofluorescence analysis, body weight monitoring, and neurological severity score (NSS) assessment.Results PLP nanoparticles displayed a uniform spherical morphology, nanoscale particle size distribution, and stable negative surface charge, indicating favorable colloidal stability and circulation potential. SDS-PAGE results confirmed the effective retention of key platelet membrane proteins associated with endothelial adhesion, immune evasion, and inflammatory regulation, demonstrating the successful biomimetic construction. Optimal therapeutic concentrations were determined in OGD/R-induced BV2 cells, where PLP exhibited excellent cytocompatibility and anti-inflammatory activity. In vitro experiments demonstrated that PLP significantly inhibited the polarization of RAW264.7 macrophages toward the pro-inflammatory M1 phenotype and markedly reduced neuronal apoptosis under ischemia-reperfusion conditions. In vivo fluorescence imaging revealed that PLP rapidly accumulated in the ischemic brain hemisphere and maintained prolonged retention for up to 7 d, suggesting enhanced lesion-specific targeting and sustained drug release. Compared with control group, PLP treatment significantly reduced cerebral infarct volume, attenuated reactive astrogliosis, improved weight recovery, and accelerated neurological functional restoration, as reflected by significantly improved NSS scores.Conclusion This study establishes a multifunctional biomimetic nanoplatform that integrates platelet membrane-mediated active targeting with the anti-inflammatory, antioxidative, and neuroprotective properties of TGF-β1. The PLP system enables rapid lesion homing and long-term retention while synergistically regulating the post-stroke inflammatory microenvironment by suppressing pro-inflammatory immune activation, reducing neuronal apoptosis, and limiting excessive astrocyte reactivity. Importantly, this study proposes a conceptually therapeutic paradigm that combines targeted delivery with immune microenvironment remodeling to achieve comprehensive neurovascular protection. These findings provide strong experimental evidence supporting the translational potential of biomimetic nanotherapeutics as next-generation precision interventions for ischemic stroke.]]> 2026/2/6 20:23:34 e.g., interventional radiology) and medical diagnostics (e.g., CT scans). Crucially, individual susceptibility is modified by genetic background, age, and environmental co-factors, complicating risk assessment. Second, we critically examine the dose-effect relationship. Although the ICRP suggests a threshold of 0.5 Gy, emerging data challenge the traditional threshold model, with some studies advocating for a linear non-threshold (LNT) relationship. We further discuss the critical roles of radiation quality and dose rate. High linear energy transfer (LET) radiation demonstrates a significantly higher relative biological effectiveness (RBE) for cataractogenesis compared to low-LET radiation. Paradoxically, and unlike many other tissues, the lens may exhibit an “inverse dose-rate effect,” where fractionated or protracted exposures potentially enhance biological damage—a finding that challenges classical radiobiological paradigms. Third, drawing upon the “cataractogenic load” hypothesis and the unique physiological constraints of the lens, this review elucidates the multidimensional molecular mechanisms driving radiation-induced opacification. Key mechanisms include four aspects. (1) DNA damage and repair: IR induces DNA double-strand breaks (DSBs) that, due to the lens’ limited repair capacity (modulated by genes such as ATM, Ptch1, and Ercc2), lead to the accumulation of damage. (2) Antioxidant defense system: dysfunction of the Nrf2/HO-1 antioxidant axis results in redox imbalances, triggering NF-κB-mediated inflammation and protein aggregation. (3) Cell proliferation and senescence: IR disrupts cell cycle regulation, causing a dichotomy of effects—driving premature senescence in some cell populations (evidenced by ATM nuclear foci) while inducing aberrant proliferation via growth factor upregulation (FGF2, TGFβ) in others. (4) Cell migration and adhesion: activation of the Wnt/β-catenin pathway and alterations in the E-cadherin complex promote the abnormal migration of epithelial cells to the posterior capsule, a hallmark of radiation-induced cataracts. In conclusion, radiation-induced cataractogenesis is a multifactorial process in which genetic susceptibility and environmental stressors converge to overwhelm the lens’ homeostatic thresholds. Future research must prioritize longitudinal cohort studies to refine dose thresholds and employ multi-omics approaches to map the crosstalk between DNA damage responses and matrix remodeling. Establishing a robust mechanistic model is essential for developing targeted radioprotective strategies and optimizing radiation protection standards for occupational and medical safety.]]> 2026/2/5 20:29:51 6), for allosteric activation. This requirement acts as a sophisticated molecular safeguard, ensuring enzymatic activity only within the appropriate host environment, thereby preventing detrimental effects on the bacterium itself. While seminal studies on individual members such as Yersinia’s YopJ and Salmonella’s AvrA have provided deep mechanistic insights, a systematic and integrative understanding of the structure-function relationships across the entire family remains fragmented. Key questions persist regarding how a conserved catalytic core has diverged to recognize distinct host substrates in different kingdoms of life. To address this gap, this article provides a systematic review of the YopJ family, focusing on three interconnected aspects: their structural features, their catalytic mechanism, and their divergent immunosuppressive strategies in animal versus plant hosts. By conducting a comparative analysis of the sequences and resolved three-dimensional structures of three representative members (e.g., HopZ1a, PopP2, AvrA), we elucidate regions of significant variation embedded within the conserved core catalytic architecture. These variable regions, often involving surface loops and substrate-binding interfaces, are crucial determinants of target specificity and functional specialization. The functional divergence of this effector family is most apparent when comparing their modes of action in different hosts. In animal hosts, YopJ-family effectors primarily sabotage innate immune signaling pathways. They achieve this by acetylating key serine and threonine residues within the activation loops of critical kinases in the MAPK and NF-κB pathways. This post-translational modification blocks the phosphorylation and subsequent activation of these kinases, leading to potent suppression of inflammatory cytokine production. Conversely, in plant hosts, the strategy broadens to dismantle the two-tiered plant immune system. YopJ homologs target a more diverse set of substrates, including immune-associated receptor-like cytoplasmic kinases (RLCKs), microtubule networks via tubulin acetylation (which disrupts cellular trafficking and signaling), and transcription factors central to defense gene regulation. This multi-target approach effectively suppresses both Pattern-Triggered Immunity (PTI) and Effector-Triggered Immunity (ETI). In conclusion, this synthesis aims to deepen the mechanistic understanding of YopJ family-mediated pathogenesis by integrating structural biology with cellular function across host kingdoms. Elucidating the precise molecular basis for substrate selection—how conserved platforms achieve target diversity—is a major frontier. Furthermore, this knowledge provides a vital theoretical foundation for developing novel anti-virulence strategies. Targeting the conserved IP₆-binding pocket or the catalytic acetyltransferase activity itself represents a promising avenue for designing broad-spectrum inhibitors that could disarm this critical family of bacterial effectors, potentially offering new therapeutic approaches against a range of pathogenic bacteria.]]> 2026/2/4 21:05:53 Objective Protein-protein interactions (PPIs) are fundamental to the execution of biological functions within living cells. However, traditional biochemical methods, such as co-immunoprecipitation (Co-IP), often fail to capture transient, weak, or membrane-associated interactions due to the stringent detergent requirements for cell lysis. Proximity labeling (PL) has emerged in recent years as a transformative technology for mapping the proteomes of specific subcellular compartments and identifying dynamic interactomes in situ. Golgi protein 73 (GP73, also known as GOLPH2), a resident type II Golgi transmembrane protein, is a well-recognized clinical biomarker for liver diseases, including hepatocellular carcinoma (HCC). Despite its clinical significance, the comprehensive physiological and pathological functions of GP73 remain partially understood. This study aims to establish an APEX2-mediated proximity labeling system specifically targeting GP73 to map its interactome in a living cellular environment, thereby providing new insights into its molecular roles and regulatory mechanisms.Methods To achieve spatial specificity, we first constructed a stable cell line expressing a fusion protein consisting of GP73 and the engineered soybean peroxidase APEX2. The localization of the GP73-APEX2 fusion protein was validated to ensure it correctly targeted the Golgi apparatus. The proximity labeling reaction was initiated by incubating the cells with biotin-phenol (BP) for 30 min, followed by a brief (1 min) treatment with 1 mmol/L hydrogen peroxide (H₂O₂). This catalytic reaction converts BP into highly reactive, short-lived biotin-phenoxyl radicals that covalently attach to endogenous proteins within a small labeling radius of the GP73-APEX2 enzyme. Subsequently, the cells were quenched, and biotinylated proteins were enriched using high-affinity streptavidin-coated magnetic beads. The captured “neighbor” proteins were subjected to on-bead digestion and analyzed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) for high-throughput identification. Rigorous bioinformatics analysis, including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction network mapping, was performed to interpret the biological significance of the identified candidates.Results Our results demonstrate the successful establishment of a robust and sensitive APEX2-based proximity labeling system for GP73. We identified a total of 95 high-confidence interacting proteins that were significantly enriched in the GP73 proximity proteome compared to control groups. Bioinformatics analysis revealed that these interactors were predominantly associated with biological processes such as vesicular transport, protein localization, and, most notably, molecular functions related to “ribosome binding” and “translation regulation”. This suggested an unexpected role for the Golgi-resident GP73 in the cellular translation machinery. To validate these findings, we performed targeted biochemical assays which confirmed a direct interaction between GP73 and the subunits of the eukaryotic translation initiation factor 3 (eIF3) complex, specifically EIF3G and EIF3I. Furthermore, functional validation using the surface sensing of translation (SUnSET) assay—a non-radioactive method to monitor protein synthesis—revealed that the overexpression of GP73 significantly promoted global protein translation levels in the cell, whereas its depletion or inhibition resulted in reduced translation efficiency.Conclusion This study successfully utilized APEX2-mediated proximity labeling to provide the first systematic map of GP73 interactome in living cells. Our findings uncover a novel, unconventional function of GP73 as a regulator of cellular protein translation, likely mediated through its interaction with the eIF3 complex. This discovery significantly broadens our understanding of the biological roles of GP73 beyond its traditional function in the Golgi apparatus and suggests that it may act as a bridge between Golgi-related trafficking and the protein synthesis machinery. Furthermore, the technical framework established in this study provides a valuable template for investigating other complex organelle-associated protein networks and resolving transient macromolecular interactions in various physiological and pathological contexts.]]> 2026/2/4 8:41:42 CDKN1A gene) is a critical cell cycle regulatory protein endowed with versatile biological functions. In various sex hormone-related cancers, p21 exhibits a paradoxical dual role, capable of both inhibiting tumorigenesis and promoting cancer progression, exerting dual, often opposing, effects on cellular fate that are dictated by the specific context. The clinical targeting of p21 remains elusive, largely due to its functionally pleiotropic and context-dependent nature within intricate regulatory networks. During the initial, hormone-dependent phase of cancers like breast and prostate cancer, p21 expression and activity are largely governed by the transcriptional programs of estrogen or androgen receptor signaling. This hormonal regulation contributes to the control of tumor cell proliferation and underpins the initial efficacy of endocrine therapies. In contrast, as these diseases advance to late stages or evolve into non-hormone-dependent subtypes—exemplified by castration-resistant prostate cancer (CRPC) and specific forms of triple-negative breast cancer (TNBC)—these conventional hormonal control mechanisms often become dysfunctional or are entirely bypassed. This fundamental transition creates a critical therapeutic void, highlighting the urgent need to identify and exploit alternative molecular pathways to effectively target p21’s function. Promising strategies may include the precise modulation of its upstream transcriptional regulators, downstream effector proteins, or the intersecting parallel signaling networks that critically influence its activity. This review provides a systematic synthesis of the intricate and interconnected mechanisms that underpin the dual effects of p21 in sex hormone-related tumors. These mechanisms are categorized into three core, interrelated functional domains. (1) cell cycle regulation: p21 executes its canonical tumor-suppressive role by binding to and inhibiting cyclin-dependent kinases (CDKs) and by directly interacting with proliferating cell nuclear antigen (PCNA), thereby inducing cell cycle arrest, predominantly at the G1/S checkpoint; (2) apoptosis modulation: p21 exerts a highly context-dependent influence on programmed cell death, functioning either as a pro-apoptotic agent under severe genotoxic stress or as a pro-survival factor by inhibiting apoptosis through interactions with proteins like Bcl-2; (3) hormonal and signaling crosstalk: p21 is an integral node within broader cellular networks, engaging in direct physical interactions with hormone receptors (e.g., AR, ER) and participating in complex feedback loops with key oncogenic pathways, including PI3K/AKT, MAPK/ERK, and p53. Critically, the role of p21 is not static but highly dynamic. It can undergo a functional switch from tumor-suppressive to tumor-promoting in response to therapeutic pressures, metabolic alterations, or evolving tumor microenvironment cues. These adaptive shifts are frequently implicated in the development of therapy resistance and disease recurrence, particularly in advanced, hormone-resistant cancers. By synthesizing these insights, this review aims to establish a coherent theoretical framework to guide the future development of novel therapeutic strategies that target the p21 pathway. It underscores the necessity of moving beyond a simplistic, binary view of p21 and emphasizes the forthcoming challenges, such as the discovery of reliable biomarkers to predict its functional state and the rational design of context-specific pharmacological modulators to selectively harness its therapeutic potential.]]> 2026/2/3 10:00:41 e.g., GPCRs) and effectors within a microdomain guarded by the transition zone, these organelles function effectively as high-gain sensors capable of integrating mechanical stimuli with metabolic cues. In this review, we examine the pivotal role of primary cilia across the nervous, bone-vascular, and renal landscapes, arguing for a unified “mechano-metabolic coupling” framework. Here, conserved ciliary modules are not static; rather, they are differentially deployed to uphold systemic homeostasis. Within the central nervous system, we position primary cilia as upstream integrators. We highlight how hypothalamic neuronal cilia concentrate metabolic receptors, such as the melanocortin 4 receptor (MC4R), to interpret energy status. Moreover, the recent identification of serotonergic “axon-cilium synapses” points to a direct mode of neurotransmission, wherein 5-HT6 receptors drive nuclear signaling and chromatin accessibility to rapidly modulate gene expression. Through these mechanisms, central cilia modulate sympathetic tone and neuroendocrine output, effectively establishing the mechanical and metabolic “boundary conditions” under which peripheral organs operate. Dysfunction in these central hubs is linked to obesity and neurodevelopmental disorders, including Bardet-Biedl syndrome. In peripheral tissues, cilia serve as versatile mechanotransducers that convert physical forces into biochemical responses. Regarding the bone-vascular system, we discuss the translation of mechanical loads and fluid shear stress into structural remodeling. In osteoblasts, specifically, ciliary integrity is intrinsically linked to cholesterol and glucose metabolism, fine-tuning the balance between Hedgehog and Wnt/β-catenin signaling to govern osteogenesis and bone repair. A similar dynamic exists in the vasculature, where endothelial cilia sense shear stress to modulate KLF4 expression and endothelial-to-mesenchymal transition—processes critical for valvulogenesis and vascular remodeling. Meanwhile, in the kidney, tubular cilia act as terminal effectors within a “shear-cilia-metabolism” axis. Here, fluid shear stress engages ciliary signaling to trigger AMPK-mediated lipophagy and mitochondrial biogenesis, thereby securing the ATP supply required for solute transport. Notably, dysregulation of this axis leads to metabolic reprogramming and aberrant proliferation, acting as a hallmark driver of cystogenesis in polycystic kidney disease (PKD). Crucially, this review attempts to dissect the often-conflated logic of cross-system integration by distinguishing 3 non-equivalent pathways: direct communication via ciliary extracellular vesicles, though this remains largely hypothetical in long-range signaling; “physiology-mediated cascades”, where ciliary dysfunction in a single organ—such as the kidney—precipitates systemic pathology through hemodynamic and metabolic shifts (e.g., altered blood pressure, fluid volume, or uremic toxins); and “parallel molecular defects”, where shared genetic mutations in ubiquitous components like the IFT machinery cause simultaneous, independent failures across multiple organ systems. Building on these distinctions, we propose a nested-loop model that links central set-points with peripheral feedback via physiological variables. Furthermore, we construct a “causality-to-translation” roadmap that pinpoints structural repair (e.g., targeting IFT assembly) and metabolic rescue (e.g., AMPK activation or autophagy induction) as promising therapeutic avenues. Ultimately, this framework provides a theoretical basis for deciphering the shared pathological mechanisms of multisystem ciliopathies, offering a strategic guide for the development of targeted interventions that go beyond symptomatic treatment.]]> 2026/2/3 9:44:04 Emerging Microbes & Infections demonstrated that the RAD6A-RAD18 ubiquitination complex plays a unique and pivotal role in the nuclear-cytoplasmic trafficking of the HNV M protein and the process of viral budding. Furthermore, this study revealed that treating cells with TZ9 (a RAD6 inhibitor) or RAD18 RING domain-binding peptides markedly impaired the ubiquitination level of HNV M protein, resulting in its nuclear retention and subsequent impairment of viral budding and replication. These findings lay a theoretical foundation for the development of novel antiviral drugs and specific antiviral therapies targeting HNV infections, and provide valuable references for investigating the biological functions of M protein’s ubiquitination as well as the replication and pathogenic mechanisms of other paramyxoviruses.]]> 2026/2/2 11:45:41 Objective To explore the effect of oral sodium butyrate on skeletal muscle atrophy in CT26 tumor mice through the gut microbiota-skeletal muscle axis and its potential mechanism.Methods Sixty SPF BALB/c male mice aged 8 weeks were randomly divided into a normal control group (NC, n=18) and a ABX-depleted group (ABX, n=42). The ABX mice were pretreated with a quadruple antibiotic cocktail via oral gavage (0.2 ml per administration, once daily, 6 d per week, for 2 weeks), whereas NC received an equal volume of sterile water. The quadruple antibiotic cocktail consisted of metronidazole (1 g/L), vancomycin (0.5 g/L), ampicillin (1 g/L), and gentamicin (1 g/L). Following successful pretreatment, six mice from each group were randomly selected for gut microbiota sequencing analysis and designated as the Abx group and the NC0 group, respectively. Theremaining mice in ABX were subcutaneously inoculated in the dorsum with 0.2 ml of CT26 cell suspension (at a cell density of 1×10⁷/ml). Then these mice were randomly allocated into three subgroups: a control tumor bearing model group (0_NaB, n=12), a tumor-bearing model group receiving low-dose oral sodium butyrate (L_NaB, n=12), a tumor-bearing model group receiving high-dose oral sodium butyrate (H_NaB, n=12). And mice in NC were inoculated at the same site with 0.2 ml of normal saline. The administration dose for L_NaB was Remaining 0.3 g/(kg·d), that for H_NaB was 0.5 g/(kg·d), while NC and 0_NaB were given the same volume of normal saline (0.2ml per time, once daily, 6 d per week, for 4 weeks). The general condition of mice was monitored, and forelimb grip strength gastrocnemius muscle mass and its muscle fiber cross-sectional area were measured for each group. The structural changes in gut microbiota were assessed by 16S rRNA sequencing of cecal contents. Pathological alterations in the intestinal wall were examined via HE staining. Serum and gastrocnemius muscle levels of TNF-α, IL-6, IL-1β, and LPS were quantified using ELISA. The protein expression of ZO-1 and occludin in the small intestine, as well as proteins associated with the TLR4/MyD88/NF-κB signaling pathway in the gastrocnemius muscle, were detected by Western blot analysis.Results (1) The alpha-diversity in Abx was significantly lower than that in NC0 (P<0.01), a significant decrease of the mass and muscle fiber cross-sectional area of the gastrocnemius (P<0.01), with the majority of gut microbiota being effectively depleted. (2) Compared with NC, the subcutaneous tumors of mice in 0_NaB were prominent, a significant increase of the mass and muscle fiber cross-sectional area of the gastrocnemius, accompanied by a significant decrease in body weight at the end of the 3th and 4th week (P<0.05), and a significant weakening of the forelimb grasping strength at the 5th and 6th week (P<0.01). Compared with 0_NaB, the tumor mass of mice in L_NaB and H_NaB showed a significant decreasing trend, and the grip strength of the forelimbs significantly increased at the 5th and 6th week (P<0.05, P<0.01). (3) Compared with 0_NaB, the Shannon and Observed species indices in α diversity of L_NaB and H_NaB were significantly increased (P<0.05). At the genus level, compared with 0_NaB, L_NaB exhibited a significant decrease in the relative abundance of Parasutterella (P< 0.01), while H_NaB showed significant reductions in the relative abundances of both Escherichia-Shigella and Parasutterella (P < 0.01). (4) Compared with 0_NaB, the small intestinal tissue structure in L_NaB and H_NaB was more intact, the infiltration of inflammatory cells was significantly reduced, and the capillaries were slightly dilated. The expression levels of ZO-1 and occludin proteins in L_NaB were significantly increased (P<0.01). (5) The LPS concentration in the gastrocnemius muscle and the protein expression levels of TLR4, MyD88, p-IκBα, and p-NF-κB p65 in L_NaB and H_NaB were significantly lower than those in 0_NaB (P<0.05). The serum TNF-α concentration in H_NaB and TNF-α concentration in the gastrocnemius muscle of the L_NaB and H_NaB were significantly lower than those in 0_NaB (P<0.05, P<0.01, P<0.01).Conclusion Oral administration of NaB can improve gut microbiota α diversity, adjusting its composition, improving intestinal mucosal barrier function, reducing the LPS-induced pro-inflammatory response, and delaying skeletal muscle atrophy. The underlying mechanism may involve down regulation of TLR4/MyD88/NF-κB signaling in skeletal muscle.]]> 2026/2/2 10:54:00 Brain Stimulation by Chen et al. addressed these challenges by combining a high-dose intermittent theta-burst stimulation (iTBS) protocol with concurrent transcranial magnetic stimulation-electroencephalography (TMS-EEG). This commentary provides an in-depth analysis of their findings, highlighting the restoration of cerebello-cortical inhibition (CBI) as a key therapeutic mechanism. Furthermore, we discuss the broader implications of this work, proposing that future translational research should integrate accelerated iTBS (aiTBS) paradigms, cortical response measurements (CRM), and individualized neuro-navigation to establish a new era of precision neuromodulation for ataxia.]]> 2026/2/2 8:46:54 de novo lipogenesis, fatty acid β-oxidation, and very-low-density lipoprotein (VLDL)-mediated lipid export. This metabolic disequilibrium subsequently drives inflammatory injury and fibrotic progression. Among the multiple regulatory pathways involved, thyroid hormone (TH) signaling has emerged as a central regulator of hepatic metabolic homeostasis. The liver is a major peripheral target organ of TH action, where TH predominantly exerts its metabolic effects through thyroid hormone receptor β (TRβ). Large-scale epidemiological studies and meta-analyses have demonstrated that hypothyroidism is significantly associated with increased MASLD prevalence, more severe histological injury, and advanced hepatic fibrosis, suggesting that dysregulation of TH signaling may participate throughout the entire MASLD disease spectrum. At the molecular level, TH regulates hepatic lipid metabolism by coordinating suppression of lipogenesis, enhancement of mitochondrial fatty acid oxidation, and promotion of VLDL assembly and secretion through integrated genomic actions of the T3-TRβ axis and non-genomic signaling pathways. Across different stages of MASLD, TH signaling exerts stage-dependent protective effects. In the steatosis stage, TH improves metabolic flexibility by modulating insulin sensitivity, glucose metabolism, and lipid droplet clearance, thereby alleviating early lipotoxic stress. During progression to MASH, TH attenuates inflammatory amplification by improving mitochondrial homeostasis, suppressing activation of the NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, and modulating the gut-liver axis microenvironment. In advanced stages, TH signaling influences hepatic stellate cell activation and extracellular matrix deposition, partly through interaction with the transforming growth factor-β (TGF-β)/SMAD pathway, while alterations in intrahepatic TH availability, mediated by dynamic changes in iodothyronine deiodinase 1 (DIO1), contribute to fibrosis progression and hepatocellular dedifferentiation. In hepatocellular carcinoma, coordinated downregulation of TRβ and DIO1 establishes a tumor-associated hypothyroid state that promotes metabolic reprogramming and tumor progression. The clinical relevance of TH signaling in MASLD has been underscored by the recent approval of Resmetirom, a liver-targeted TRβ-selective agonist, for the treatment of non-cirrhotic MASH with moderate-to-severe fibrosis (F2-F3). This approval represents a landmark transition from mechanistic understanding to metabolism-centered precision therapy in MASLD. Clinical trials have demonstrated that Resmetirom not only improves key histological endpoints, including MASH resolution and fibrosis regression, but also favorably modulates atherogenic lipid profiles, highlighting the therapeutic potential of selectively targeting hepatic TH pathways. This review systematically summarizes the multidimensional regulatory roles of TH across the MASLD disease spectrum and discusses emerging diagnostic and therapeutic implications of TH-based interventions, aiming to inform future mechanistic research and optimize clinical management strategies.]]> 2026/1/29 15:43:38 2026/1/27 18:39:30 Objective To enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses.Methods Using teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews.Results Following the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3).Conclusion The integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.]]> 2026/1/26 16:06:35 in vivo pharmacokinetics and long-term toxicity of Au NCs is absent. To address this gap, it is crucial to develop advanced imaging methodologies and integrated theranostic platforms. Au NCs, serving as both a therapeutic core and a highly promising photoluminescent material, are key to constructing such platforms through integration with other agents. These multifunctional systems are designed to achieve optimal synergistic therapy by combining multiple treatment modalities. Finally, the investigation of Au NCs is still largely confined to preclinical cellular and animal studies. Progress necessitates comprehensive clinical research to rigorously assess their safety and efficacy across a range of human cancer models, thereby ensuring broad clinical applicability. In summary, Au NCs-based platforms hold immense promise for translation into clinical anticancer therapy.]]> 2026/1/26 10:30:09 via enhanced autophagy and engulf extracellular proteins via macropinocytosis, crucial for survival in the nutrient-poor, hypoxic tumor microenvironment. In addition to metabolism, lysosomes exhibit pro-invasive functions by secreting hydrolases to remodel the extracellular matrix, promote angiogenesis, and suppress stromal immune cells to foster a pro-tumor microenvironment. In a clinical context, lysosomes play an important role in therapeutic resistance: they sequester and inactivate chemotherapeutics via lysosomal sequestration, and enhanced autophagic flux protects the cell from therapy-induced damage, contributing to relapse, as lysosomal dysfunction is a key cause of treatment failure. This makes lysosomes promising yet challenging therapeutic targets in HCC. Recent preclinical and early clinical studies investigate multiple strategies to exploit the susceptibility of lysosomes: lysosome-specific agents, alkalinizing the lysosome lumen or inducing membrane permeabilization and lysosome-dependent cell death; pharmacological inhibition of key lysosomal enzymes or autophagy to impair nutrient recycling and stress adaptation; smart nanotherapeutic agents or antibody-drug conjugates, specifically activated in the acidic lysosomal environment or utilizing lysosomal pathways for efficient intracellular drug release; and combination strategies of lysosome-targeting agents with tyrosine kinase inhibitors or immunotherapy to overcome resistance and achieve synergistic antitumor effects. In summary, our review systematically presents the role of lysosomes in HCC, from metabolic reprogramming and microenvironmental adaptation to therapeutic resistance. By synthesizing the latest mechanistic insights and preclinical advances, this review highlights the indispensable role of lysosomes in the complex HCC biological network, emphasizing that an in-depth understanding of this dynamic organelle holds great promise for developing innovative, targeted therapies, offering new hope for improving the poor prognosis of global HCC patients.]]> 2026/1/26 10:29:29 2026/1/23 11:44:47 Objective Zheng’s San Qi San (ZSQS) power, a classic traditional Chinese medicine (TCM) formula, is used for treating soft tissue injuries involving muscles, tendons, and ligaments. However, its underlying therapeutic mechanisms remain unclear. This study aimed to screen and identify pharmaceutically active ingredients and their candidate biomolecule targets, and further elucidate the molecular mechanism of ZSQS in the treatment of skeletal muscle injury.Methods Network pharmacology was employed to construct “ZSQS-component-target”, “protein-protein interaction (PPI)” and “active ingredient-core protein-pathway” networks to predict the key active ingredients and potential core targets of ZSQS for skeletal muscle injury. The predicted results were then validated via microarray data from the GEO database. Molecular docking was then performed to assess the binding ability between the screened active ingredients of ZSQS and the candidate core targets. Moreover, liquid chromatography-mass spectrometry (LC-MS) was used for qualitative and quantitative analysis to verify the active components of the drug and ZSQS serum. Finally, an animal model of eccentric exercise-induced skeletal muscle injury and a myotube cell model of oxidative stress-induced injury were established to validate the effects of ZSQS and its interventional effects on the biological functions of critical targets, thereby demonstrating the potential therapeutic mechanism of ZSQS.Results Among the 111 active components identified in ZSQS and their corresponding 204 targets related to the skeletal muscle injury repair process, 14 core targets (including AKT1) and 4 core active components (quercetin, luteolin, kaempferol, and β-sitosterol) were screened out, while the corresponding metabolites of quercetin, luteolin and kaempferol were detected in the ZSQS serum. Among these targets, 5 candidate genes (IL-6, CASP3, HIF1A, STAT3, and JUN) overlapped with the differential expression screening results with GEO data, and IL-6 was confirmed to be enriched in the PI3K/AKT pathway. Combined with the prediction results of the AKT expression levels, these findings suggest that the phosphorylation level of AKT1 plays a core role in the therapeutic mechanism of ZSQS. Molecular docking analysis further revealed that the PH domain of AKT1 had high binding energy with all 4 core active components, as verified by LC-MS. Finally, animal model studies have shown the promoting effect of ZSQS administration on skeletal muscle injury repair and its possible antioxidant damage mechanism. Cell model studies further demonstrated that ZSQS-containing serum, core active ingredient combination therapy, and quercetin monomer could increase the phosphorylation level of AKT, promote the nuclear translocation of Nrf2, upregulate the expression of downstream antioxidant enzymes (SOD, GPx, and GR), and inhibit the expression of inflammatory factors (IL-6 and TNF-α), thereby alleviating oxidative stress and the inflammatory response.Conclusion ZSQS alleviates skeletal muscle injury mainly by activating the AKT/Nrf2 signaling pathway, enhancing cellular antioxidant and anti-inflammatory capabilities. The results of this study provide a scientific basis for the clinical application and modernized development of ZSQS.]]> 2026/1/22 14:46:15 2026/1/20 21:34:15 via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.]]> 2026/1/17 20:34:39 Objective Pancreatic ductal adenocarcinoma (PDAC) exhibits a limited response to current treatments due to its dense fibrotic stroma and highly immunosuppressive tumor microenvironment. In recent years, advancements in cellular immunotherapy, particularly chimeric antigen receptor macrophage (CAR-M) therapy, have offered new hope for pancreatic cancer treatment. Although CAR-M therapy demonstrates dual potential in directly killing tumor cells and remodeling the immune microenvironment, it still faces challenges such as complex in vitro preparation processes and low in vivo targeting and delivery efficiency. Therefore, developing strategies for efficient and targeted in vivo delivery of CAR genes has become crucial for overcoming current therapeutic limitations. This study aims to develop an orally administrable nano-gene delivery system for the targeted delivery of CAR genes to pancreatic tumor sites.Methods Core nano-gene particles (PNP/pCAR) were constructed by loading plasmid DNA encoding CAR (pCAR) with cationic polypeptides (PNP). Subsequently, PNP/pCAR was surface-modified with β-glucan to prepare the targeted nanoparticles (βGlus-PNP/pCAR). The loading efficiency of PNP for pCAR was quantitatively assessed by gel retardation assay. The particle size, Zeta potential, morphology, and storage stability of PNP/pCAR were characterized using a Malvern particle size analyzer and transmission electron microscopy. At the cellular level, RAW 264.7 macrophages were selected. The cytotoxicity of PNP/pCAR was evaluated using the CCK-8 assay. The cellular uptake efficiency and lysosomal escape ability of the nanoparticles were assessed via flow cytometry and confocal microscopy. Transfection efficiency was quantitatively evaluated by detecting the expression of the reporter gene GFP using flow cytometry. At the in vivo level, an orthotopic pancreatic cancer mouse model was established. Cy7-labeled βGlus-PNP/pCAR nanoparticles were administered orally, and the fluorescence distribution in mice was dynamically monitored at 1, 2, 4, 8, and 16 h post-administration using a small animal in vivo imaging system. Forty-eight hours after oral gavage, the mice were euthanized, and pancreatic tumor tissues were collected for further analysis of intratumoral fluorescence signals using the imaging system. Additionally, βGlus-PNP/pCAR-GFP nanoparticles loaded with the reporter gene (GFP) were administered orally. Forty-eight hours post-administration, pancreatic tumor tissues were harvested to prepare frozen sections, and GFP expression was observed and analyzed under a fluorescence microscope.Results The PNP carrier exhibited a high loading capacity for pCAR. The successfully prepared PNP/pCAR nanoparticles were regular spheres with a hydrodynamic diameter of approximately (120±10) nm and a Zeta potential of about +(6±1) mV. They maintained good structural stability after incubation in PBS buffer for 7 d. Cell experiments demonstrated that PNP/pCAR exhibited no significant cytotoxicity in RAW 264.7 cells while being efficiently internalized and effectively escaping lysosomal degradation. The transfection positive rate of PNP/pCAR-GFP in RAW 264.7 cells reached (25±3)%, surpassing that of Lipofectamine 2000-loaded pCAR-GFP (Lipo/pCAR-GFP), which was (20±1)%. In vivo experiments revealed that, compared to unmodified PNP/pCAR, βGlus-PNP/pCAR exhibited stronger in situ pancreatic tumor targeting ability after oral administration. Furthermore, oral administration of βGlus-PNP/pCAR-GFP resulted in significant GFP protein expression detectable within pancreatic tumor tissues.Conclusion This study successfully constructed and validated an orally administrable, pancreatic cancer-targeting polypeptide-based nano-gene delivery system. It provides an important technological foundation in delivery systems and experimental basis for the subsequent development of in situ CAR-M-based therapeutic strategies for pancreatic cancer.]]> 2026/1/14 10:00:02 Objective Cleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment.Methods Seventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions.Results The CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs. 1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features.Conclusion ST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.]]> 2026/1/12 16:53:26 in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ development in vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.]]> 2026/1/11 11:26:47 cis-acting element level, it elaborates on how components such as riboswitches, RNA thermometers, and Toehold switches achieve precise gene expression regulation by responding to specific ligands, temperatures, or trigger RNAs through conformational changes. Concerning trans-acting elements, it delves into the molecular mechanisms of miRNA-mediated gene silencing, the high stability and “sponge-like adsorption” function conferred by the closed-loop structure of circRNA, the targeting role of siRNA within the RNAi pathway, and the targeting specificity of sgRNA within the CRISPR system. The paper emphasizes that rational design, sequence optimization, and chemical modifications can significantly enhance the performance and orthogonality of these natural elements. Secondly, the paper focuses on the design and optimization strategies for synthetic RNA regulatory modules. Taking miRNA-responsive circRNA switches as an example, it elucidates the principles of customized miRNA responsiveness. The engineering applications of circRNA are explored, introducing strategies for constructing functional RNA nanostructures via siRNA self-assembly. Building upon this, the paper emphasizes synthetic genetic circuits: from logical operations to resource allocation, enabling advanced cellular logic and functional regulation. For instance, by combining transcriptional cascade switches or utilizing the CRISPR-Cas13a system, an AND logic gate responsive to multiple miRNAs (such as miRNA-155 and miRNA-21) was constructed, significantly enhancing the specificity of disease diagnosis. Addressing the challenges of resource competition and expression noise faced by synthetic circuits within cells, this paper introduces computational models such as MIRELLA, with particular emphasis on the design of endogenous miRNA-based iFFLs. These advanced circuits, illustrated in this paper, have been successfully applied to real-time monitoring of cellular differentiation states and regulation of stem cell-directed differentiation. For cellular state detection and dynamic regulation, miRNA switches can be integrated with fluorescent systems to track differentiation statuses in real time via fluorescent signal changes. Synthetic genetic circuits, meanwhile, utilize endogenous miRNA logic integration alongside miSFITs technology to achieve state-specific protein regulation in human pluripotent stem cells, laying the groundwork for customized cellular control. This approach ingeniously harnesses intrinsic cellular regulatory mechanisms to buffer gene expression burdens, thereby enhancing circuit robustness. These advanced circuits, illustrated schematically herein, have been successfully applied to real-time monitoring of cellular differentiation states and regulation of stem cell-directed differentiation. At the therapeutic translation level, the paper systematically reviews application strategies for RNA technologies across multiple fields, including cancer, metabolic diseases, neurodegenerative diseases, cardiovascular diseases, regenerative medicine engineering, immunotherapy, and vaccine applications. For instance, in cancer treatment, specific killing of tumor cells is achieved by embedding targets for miRNAs specific to healthy cells within the genomes of oncolytic viruses (such as Zika virus). Within metabolic and degenerative diseases, LNP-delivered mRNA therapeutics and antisense oligonucleotide (ASO) technologies have demonstrated significant clinical progress. Finally, this paper highlights ongoing challenges in the field, including limited programmability of RNA elements, low in vivo delivery efficiency, and inadequate off-target risk assessment systems. It advocates for future integration of epigenomics and computational modelling to optimize element functionality, establishing an integrated “element-circuit-delivery” platform. Furthermore, leveraging single-cell sequencing and organoid technologies to develop a multidimensional safety assessment system is proposed to advance the deep integration and translation of RNA synthetic biology in personalized medicine. Consequently, RNA engineering has transcended single-dimensional regulation, evolving towards multi-layered, dynamic, and intelligent synthetic biological systems. Its deep integration with clinical needs will reshape disease diagnosis and treatment paradigms.]]> 2026/1/8 9:36:44 Objective To clarify whether METTL14 mediates the core role of acupuncture at Neiguan (PC6) in promoting myelination and improving behavior in young autistic rats through gene intervention technology.Methods The ASD model was established by intraperitoneal injection of valproic acid (VPA) in pregnant rats. Male offspring were intracerebroventricularly injected with adenovirus-packaged METTL14 shRNA (sh-METTL14) or its control (sh-NC) on postnatal day 1, with a model group set as well. Subsequently, the juvenile rats were divided into model group, acupuncture group, acupuncture+sh-NC group, and acupuncture+sh-METTL14 group. The acupuncture group received acupuncture at Neiguan (PC6) from postnatal day 7, once daily for 21 consecutive days. Neurobehavioral changes were evaluated by behavioral tests; METTL14 knockdown efficiency and the expression of METTL14, METTL3, and PTEN were detected by quantitative real-time PCR (qRT-PCR) and Western blot (WB); PTEN m⁶A levels were measured by RNA immunoprecipitation-qPCR (RIP-qPCR); myelin ultrastructure, expression of myelin basic protein (MBP) and neurofascin 155 (NF155), and dendritic spine density were observed using transmission electron microscopy (TEM), enzyme-linked immunosorbent assay (ELISA), immunofluorescence, qRT-PCR, and primary neuron culture.Results Behaviorally, knockdown of METTL14 significantly counteracted the beneficial effects of acupuncture in improving self-grooming, open field exploration, three-chamber social interaction, and Morris water maze learning and memory (P<0.05, P<0.01). Compared with the acupuncture+sh-NC group, the acupuncture+sh-METTL14 group showed significantly decreased mRNA and protein expression of hippocampal METTL14 (P<0.01), and the upregulating effects of acupuncture on METTL3 and PTEN expression were reversed (P<0.01). Meanwhile, knockdown of METTL14 significantly inhibited the acupuncture-induced increase in PTEN m⁶A levels (P<0.01). Morphologically, knockdown of METTL14 attenuated the improvement of myelin structure by acupuncture, reversed the downregulation of MBP and upregulation of NF155 induced by acupuncture, and blocked the increase in dendritic spine density (P<0.05, P<0.01).Conclusion METTL14 is a key molecule mediating the therapeutic effect of acupuncture at Neiguan. Acupuncture at Neiguan upregulates METTL14, thereby enhancing m⁶A methylation modification of PTEN mRNA to stabilize its expression, ultimately promoting myelin development and improving behavioral symptoms in ASD juvenile rats. This preliminarily reveals the modern biological connotation of “opening Xuanfu and dredging myelin”.]]> 2026/1/8 9:34:43 2026/1/5 14:04:22 Objective This study aims to explore the potential of different orders of magnitude single-nucleotide polymorphism (SNP) locus combinations for predicting distant kinship relationships. A high-density SNP locus set was constructed, and a comprehensive assessment of its inference capability was conducted.Methods Firstly, we selected three commercial chip panels, CGA (Chinese genotyping array, Illumina), GSA (Global screening array, Illumina), Affy (23MF_V2 high-density SNP array, Affymetrix) and merged them after quality control, forming a high-density SNP locus panel(1 180 k). Secondly, we selected 161 samples and collected their peripheral blood samples by using whole-genome sequencing technology. Within this sample population, the levels of kinship relationships fully covered the range from level 1 to level 9, and the number of kinship pairs at each level was consistently maintained at over 50 pairs. From 161 samples data of whole-genome sequencing, the 1 180 k locus set was extracted, which is referred to as the high-density SNP locus set in the following text. The kinship inference was conducted using the identity-by-descent (IBD) algorithm with the selected optimal parameters. To comprehensively evaluate the performance of the high-density SNP locus set in kinship inference, we compared it with the three commercial chip panels, the intersection of these three chip loci, and the control sets constructed by randomly reducing the number of the high-density SNP locus set. Based on the changes in the IBD lengths, as well as the dynamic trends in prediction accuracy, we conducted a scientific assessment of the kinship inference capability of the high-density SNP locus set.Results After screening, a set of 1 184 334 autosomal SNPs was obtained. During the process of screening the optimal IBD length threshold, the result revealed that 0 cM, 1 cM, and 2 cM all demonstrated good applicability. However, to avoid the issue of a large amount of redundant information caused by setting a too low IBD length threshold, this study ultimately selected 2 cM as the optimal threshold. Compared with the average results of three chip panels, the high-density SNP locus set increased the total IBD length and the average IBD length across levels 1-9; the accuracy of the confidence interval for level 8 was 70.97%, which represented a 3.50% improvement; the average confidence interval accuracy for levels 1-8 was 91.39%, representing a 1.00% increase; and the false negative rates at levels 8 and 9 were reduced by 2.42% and 6.76%, respectively. The system efficacy of the high-density SNP locus set for kinship inference of first to eighth degree relationships reached 98.91%. Through random reduction of the high-density SNP locus set results, it is found that increasing the number of SNPs with the panel, the detection efficiency of IBD length showed a significant upward trend. At the same time, the overall trend in the accuracy of kinship relationship prediction as well as the confidence interval accuracy also indicated that both metrics steadily increased with the addition of more loci.Conclusion The results show that the high-density SNPs panel significantly enhances the efficacy of distant kinship inference, accurately covering kinship degrees, with the average confidence interval accuracy for first to eighth degree relationships stably above 90%. The study finds that increasing the number of SNPs panel can improve the ability to predict distant kinship.]]> 2026/1/4 22:38:33 2+, K⁺, and Na⁺, and directly responds to membrane tension changes induced by mechanical stimuli like fluid shear stress and mechanical overload. In OA patients and animal models, Piezo1 expression is significantly upregulated, especially in cartilage regions subjected to abnormal mechanical stress (e.g., human temporomandibular joint cartilage). This overexpression is closely associated with aggravated cartilage degeneration, increased chondrocyte apoptosis, accelerated cellular senescence, and intensified inflammatory responses. Mechanical overload and pro-inflammatory cytokines (e.g., IL-1β) are key inducers of Piezo1 upregulation: IL-1β activates the PI3K/AKT/mTOR signaling pathway to enhance Piezo1 expression, forming a pathogenic positive feedback loop that inhibits chondrocyte autophagy, promotes apoptosis, and further accelerates joint degeneration. Mechanistically, Piezo1 mediates OA progression through multiple interconnected pathways. When activated by mechanical stress, Piezo1 triggers excessive Ca²⁺ influx, leading to endoplasmic reticulum stress (ERS) and mitochondrial dysfunction, which directly induce chondrocyte apoptosis. This process involves the activation of downstream signaling cascades such as cGAS-STING and YAP-MMP13/ADAMTS5. YAP, a transcriptional regulator, upregulates the expression of matrix metalloproteinase 13 (MMP13) and aggrecanase (ADAMTS5), thereby accelerating cartilage matrix degradation. Additionally, Piezo1-driven Ca²⁺ overload promotes the accumulation of reactive oxygen species (ROS) and upregulates senescence markers (p16 and p21), accelerating chondrocyte senescence via the p38MAPK and NF-κB pathways. Senescent chondrocytes secrete senescence-associated secretory phenotype (SASP) factors (e.g., IL-6, IL-1β), further amplifying joint inflammation. In terms of bone metabolism, Piezo1 maintains joint homeostasis by promoting the differentiation of fibrocartilage stem cells into chondrocytes and balancing bone formation and resorption through regulating the FoxC1/YAP axis and RANKL/OPG ratio. Therapeutically, targeting Piezo1 shows promising potential. Preclinical studies have demonstrated that Piezo1 inhibitors (e.g., GsMTx4) can reduce joint damage and alleviate pain in OA mice. Simultaneously, siRNA-mediated co-silencing of Piezo1 and TRPV4 (another mechanosensitive channel) decreases intracellular Ca²⁺ concentration, inhibits chondrocyte apoptosis, and promotes cartilage repair. Conditional knockout of Piezo1 using Gdf5-Cre transgenic mice alleviates cartilage degeneration in post-traumatic OA models by downregulating MMP13 and ADAMTS5 expression. Despite existing challenges, such as off-target effects of inhibitors, inefficient local drug delivery, and interindividual genetic variability, strategies like developing selective Piezo1 antagonists, optimizing targeted nanocarriers, and combining Piezo1-targeted therapy with physical therapy provide viable avenues for clinical translation. The authors propose that Piezo1 serves as a critical therapeutic target for OA, and future research should focus on deciphering its context-dependent regulatory networks, developing tissue-specific intervention strategies, and validating their efficacy and safety in clinical trials to address the unmet medical needs of OA patients.]]> 2026/1/1 22:29:42 2025/12/31 10:44:26 Objective This Study was conducted to investigate the interaction mechemisms between gut microbiota dysregulation and ischemic stroke by establishing a rat model of ischemic stroke and employing fecal microbiota transplantation (FMT).Methods A preliminary experiment was conducted to establish an antibiotic-induced pseudo-sterile (ABX) rat model through antibiotic treatment, and a cerebral ischemia model was prepared using the middle cerebral artery occlusion (MCAO) method. Fecal microbiota from stroke patients and healthy individuals were transplanted via FMT, followed by behavioral testing. 16S rRNA sequencing was used to analyze the microbial community, hematoxylin and eosin (HE) staining to observe histopathological status, transmission electron microscopy (TEM) to examine the tight junction structure of the small intestine, and enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory factors and intestinal barrier-related markers.Results 16S rRNA sequencing of fecal samples showed that compared with the normal control group and the metronidazole group, the abundance and diversity of fecal microorganisms in the quadruple antibiotic group were significantly reduced, indicating successful establishment of the ABX model. After transplanting fecal microbiota from stroke patients into ABX rats, significant changes in gut microbiota composition were observed. Behavioral tests revealed that the MCAO model group showed significant decreases in both horizontal movement and vertical exploration abilities. ELISA results indicated that IL-17 concentration in the ABX+mFMT (antibiotic-treated+control fecal microbiota transplantation) group was lower than in the ABX+cFMT (antibiotic-treated+model fecal microbiota transplantation) group, suggesting that IL-17 may serve as a key inflammatory indicator for evaluating the impact of stroke intervention on gut microbiota. Triphenyltetrazolium chloricle staining (TTC) staining suggested that gut microbiota intervention may increase the risk of stroke. HE staining showed that, except for the control group, all groups exhibited ischemic changes and inflammatory infiltration in brain tissues. TEM revealed that microvilli of small intestinal epithelial cells in the ABX+mFMT group were sparser than those in the ABX+cFMT group, indicating that microbial intervention affects intestinal barrier function.Conclusion The ABX model established using broad-spectrum antibiotics showed no significant differences in physiological characteristics compared to normal rats, and the findings were consistent with those from germ-free rat models. Stroke prognosis appears to be influenced by intestinal dysbiosis, accompanied by significantly elevated levels of the pro-inflammatory cytokine IL-17, which may exacerbate neural injury via the gut-brain axis. Behavioral experiments indicated that transplantation of gut microbiota from stroke rats impaired cognitive function. Furthermore, IL-17 demonstrated sensitivity to alterations in the gut microbiota, suggesting its potential as a key therapeutic target for stroke intervention.]]> 2025/12/30 14:23:35 Objective Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system (CNS); however, its underlying neurological pathogenic mechanisms remain incompletely understood. Endogenous formaldehyde (FA), a metabolic byproduct of methylation-demethylation cycles, has recently been implicated in neurotoxicity, oxidative damage, and cognitive impairment. This study aimed to investigate whether excessive FA contributes to myelin sheath demyelination in mice and to evaluate the protective effects and mechanisms of two FA-elimination strategies: sodium bisulfite (NaHSO₃), a classical FA scavenger, and polyethylene glycol-modified astaxanthin nanoparticles (PEG-ATX@NPs), a brain-targeted nano-antioxidant formulation.Methods A chronic demyelination model was established by feeding female C57BL/6J mice a diet containing 0.2% cuprizone (CPZ) for four weeks, followed by a two-week intervention period. Eighty mice were randomly assigned to four groups: NS (normal saline), CPZ+NS, CPZ+NaHSO₃, and CPZ+PEG-ATX@NPs. Behavioral tests, including open-field, Y-maze, and pole-climbing assays, were conducted to assess locomotor activity, motor coordination, and working memory. FA levels in serum, corpus callosum, and spinal cord were measured using an Na-FA fluorescent probe and quantified via in vivo and ex vivo fluorescence imaging. Neuroinflammatory responses were evaluated by measuring TNF-α, IL-1β, and IL-6 levels using ELISA, while oxidative stress was assessed by reactive oxygen species (ROS) fluorescence intensity. Demyelination was examined via Luxol fast blue staining, and microglial activation was analyzed by Iba1 immunofluorescence. Correlation analyses were performed to explore relationships among FA levels, inflammatory cytokines, ROS intensity, and behavioral parameters.Results Compared with the NS group, mice in the CPZ+NS group exhibited significant weight loss, impaired motor coordination and memory, and markedly reduced myelin regeneration (P<0.05). FA levels and pro-inflammatory cytokines were significantly elevated in serum, corpus callosum, and spinal cord (P<0.05). FA-associated fluorescence in brain and spinal tissues, as well as ROS intensity across all tissues examined, also increased substantially (P<0.05). CPZ treatment induced pronounced microglial activation and severe demyelination in the corpus callosum (P<0.01). Both NaHSO₃ and PEG-ATX@NPs effectively reduced FA accumulation in the brain and spinal cord, attenuated demyelination, suppressed microglial activation, decreased inflammatory cytokine levels, and improved motor and cognitive performance. These results confirm that CPZ induced severe demyelination accompanied by oxidative stress, neuroinflammation, and abnormal FA accumulation. Following intervention with either NaHSO₃ or PEG-ATX@NPs, endogenous FA levels in the CNS were substantially reduced. Both treatments alleviated demyelination and significantly decreased the number of activated microglia. Levels of TNF-α, IL-1β, and IL-6 in serum, corpus callosum, and spinal cord were downregulated. Behavioral performance improved significantly, as evidenced by enhanced locomotor activity, better coordination, and improved memory function. These findings indicate that both FA-scavenging agents mitigate CPZ-induced biochemical and behavioral abnormalities.Conclusion This study demonstrates that excessive endogenous FA is closely associated with cognitive impairment, inflammatory dysregulation, and demyelination in a CPZ-induced chronic demyelination mouse model. Clearing abnormally elevated FA effectively reduces neuroinflammation, suppresses microglial overactivation, decreases oxidative stress, and alleviates demyelination, ultimately improving motor and cognitive outcomes in mice. These results suggest that targeting endogenous FA represents a promising therapeutic strategy for MS and other demyelinating disorders. Further investigations are warranted to explore the long-term safety, dosage optimization, and molecular pathways involved in FA-mediated neurotoxicity.]]> 2025/12/29 15:08:27 2025/12/29 13:43:00 . Finally, this article addresses the challenges and future directions in Golgi-targeted interventions, aiming to advance the clinical translation of such strategies and foster breakthroughs in the treatment of glucose and lipid metabolism-related disorders.]]> 2025/12/26 21:25:35 Objective The accuracy of Y-chromosome haplogroup assignment is crucial for tracing paternal lineage in male samples. With the advancement of high-throughput sequencing technologies, high-density Y-SNP genotyping from whole-genome or array-based data has become a standard method for determining Y-chromosome haplogroups. This study systematically evaluated the performance of 4 commonly used high-density SNP genotyping systems—namely, the Global Screening Array (GSA), Chinese Genotyping Array (CGA), Affymetrix array, and the 1240K capture panel—for haplogroup assignment. This work provides a reference for data comparison across different systems.Methods We extracted genotype data for the 4 Y-SNP panels from 30× whole-genome sequencing (WGS) data of 1 590 male samples from the 1000 Genomes Project. Additionally, GSA array genotype data from 384 relative pairs (spanning 1st- to 12th-degree relationships) from 109 Chinese Han families were collected. Haplogroup assignment was performed using Y-LineageTracker v1.3.0 software. We assessed the concordance and resolution of haplogroup assignments between the four Y-SNP panels and the WGS data. The consistency and resolution of haplogroup assignments were also evaluated for both the 1000 Genomes Project samples and the 109 family samples collected in this study. Furthermore, the impact of varying numbers of Y-SNPs on haplogroup assignment was examined.Results The GSA and CGA panels demonstrated superior resolution and discrimination of haplogroup subclades compared with the other two panels. The haplogroup assignments from the GSA, CGA, and 1240K panels showed high concordance with WGS data, with consistency rates exceeding 88.70%, whereas the Affymetrix platform exhibited a significantly lower consistency rate of 61.89%. Specifically, the GSA and CGA panels consistently demonstrated superior performance compared with the other two panels in the assignment of haplogroups O-M175 and H-L901, achieving complete concordance (100%) for both haplogroups. In contrast, the Affymetrix panel erroneously assigned all individuals belonging to haplogroup O-M175 to haplogroup K2-M526. Furthermore, its accuracy for haplogroup H-L901 was exceedingly low, at merely 1.41%. This poor performance was characterized by the misassignment of 98.59% of H-L901 samples—specifically, 1.41% to J-M304 and a predominant 97.18% to F-M89. For haplogroup R-M207, all four panels exhibited uniformly high levels of consistency, with concordance values exceeding 94.00%. Notably, for haplogroup E-M96, the 1240K and Affymetrix panels outperformed the GSA and CGA panels in terms of concordance, representing the first instance in which these two panels surpassed the latter. Conversely, for haplogroups J-M304, Q-M242, and I-M170, all 4 panels showed relatively elevated misclassification rates, with the Affymetrix array demonstrating the poorest overall performance. None of the four panels showed any discordant haplogroup assignments among the familial relative pairs analyzed. A positive correlation was observed between the number of Y-SNPs (ranging from 1 000 to 10 000) and classification consistency; however, classification consistency plateaued when the number of Y-SNPs exceeded 10 000. Furthermore, a random sampling analysis conducted on the GSA and CGA panels demonstrated that the haplogroup misclassification rate exhibited negligible fluctuation across the Y-SNP range of 500 to 1 000. Conversely, a marked enhancement in classification consistency was observed as the number of markers increased from 1 000 to 5 000, ultimately reaching a plateau within the interval of 5 000 to 8 000 markers.Conclusion These findings indicate that the GSA and CGA panels provide high resolution and concordance, delivering reliable Y-haplogroup assignment for forensic investigations.]]> 2025/12/26 10:19:04 Objective Donkey hide is the sole legally designated raw material for the preparation of the traditional Chinese medicine Ejiao. The quality stability of donkey hide during preservation directly determines the efficacy and safety of Ejiao. This study focuses on the dynamic succession of microbial communities during the preservation of donkey hides from different origins, aiming to clarify the correlation between microbial biodiversity difference and the degradation profiles of hide collagen and critical biochemical components, thereby providing a theoretical foundation for developing targeted preservation strategies based on microbial regulation.Methods Donkey hides originating from four different regions were subjected to an accelerated microbial aging assay to simulate the spoilage process. The microbial community succession was analyzed using high-throughput sequencing. Microstructure changes and pore structure characteristics were assessed by scanning electron microscopy and mercury intrusion porosimetry, respectively. Additionally, the content of major components, including lipids, proteins, and sugars were determined by biochemical methods.Results After 96 h of aging, the collagen fiber structure in Africa donkey hides (ADH) exhibited significant degradation and collapse, followed by Xinjiang donkey hides (XDH). Instead, the microstructure of Dong’e black donkey hides (DDH) and Peru donkey hides (PDH) remained relatively intact. The porosities of DDH, XDH, PDH, and ADH increased from 27.9%, 15.7%, 30.3%, and 46.2% to 36.5%, 52.6%, 42.8%, and 57.7%, respectively, during the aging process, which suggested that the originally compact fiber structure was disrupted by microbial aging. Fourier transform infrared spectrometer analysis revealed the amide bands in XDH exhibited relatively weak intensity, and no collagen amide I band was observed in ADH. Meanwhile, the lipid and protein contents decreased in all four types of donkey hides, indicating that these components served as the primary nutrient sources for the growth of microorganism. Notably, the most severe collagen degradation was observed in XDH and ADH. A substantial increase was detected in the total soluble sugar in PDH aging solution and hydroxyproline in the ADH aging solution, respectively. These results indicated that donkey hides exhibit distinct patterns of structural degradation and nutrient utilization. Furthermore, the viable cells number of donkey hides increased sharply after 48 h of aging. Metagenomic analysis revealed that the relative abundance of Euryarchaeota in ADH, PDH and XDH declining from initial 93.19%, 97.73% and 30.08% to 0.79%, 1.43% and 0.02% after 96 h, respectively. Conversely, a significantly increase was observed in the abundance of Bacillota, with a marked increase in ADH, peaking at 92.75%. Additionally, the abundance of Pseudomonadota in PDH increased from 0.10% to 87.84%, suggesting that Bacillota and Pseudomonadota may be key factors exacerbating donkey hide spoilage. Unlike the other three types of donkey hides, the dominant bacterial phylum in DDH shifted from Pseudomonadota to Bacteroidota, characterized by a substantial abundance increase of Bacteroidota from 0.13% to 44.22%.Conclusion Regional variation in origin significantly influence the microbial aging of donkey hides, leading to distinct patterns of structural deterioration and differential nutrient utilization. Therefore, implementing origin-specific preservation strategies, through the precisely controlling environmental factors to suppress harmful phyla such as Bacillota and Pseudomonadota, is crucial for enhancing the storage quality of donkey hides.]]> 2025/12/22 11:08:50 + T cells defined by expression of the lineage-specifying transcription factor FOXP3 and a potent capacity to maintain peripheral immune tolerance. The modern concept of Tregs was catalyzed by Shimon Sakaguchi’s identification of CD4⁺CD25⁺ suppressive T cells and subsequent work establishing FOXP3 as a central determinant of Treg cell development and function; together with landmark FOXP3 genetic discoveries by Mary E. Brunkow and Fred Ramsdell, these advances transformed understanding of immune homeostasis and were recognized by the 2025 Nobel Prize in Physiology or Medicine. Under normal physiological conditions, FOXP3⁺ Treg cells restrain autoreactive lymphocytes, prevent excessive inflammation, and shape antigen-presenting cell activity through contact-dependent pathways and suppressive cytokines, thereby protecting tissues from immune-mediated damage. Disruption of Treg abundance, stability, or suppressive capacity can therefore lead to immune dysregulation and disease. Over the past two decades, Treg cells have become a major focus of immunology because their roles are highly context-dependent. In autoimmune and chronic inflammatory diseases, impaired Treg cell function or insufficient Treg activity contributes to loss of tolerance and persistent tissue injury, supporting therapeutic approaches designed to enhance Treg cell number, stability, and suppressive potency. In contrast, many cancers exploit Treg cells by promoting their expansion, activation, and recruitment into the tumor microenvironment (TME), where they blunt antitumor immunity by suppressing cytotoxic T-cell priming and effector function, limiting dendritic cell activation, and fostering immune escape. In both settings, immune checkpoint pathways critically influence Treg cell biology. Beyond PD-1/PD-L1 and CTLA-4, emerging checkpoints and costimulatory receptors, including TIGIT, TIM-3, LAG-3, and OX40, modulate Treg cell generation, stability, and suppressive functions, thereby shaping the balance between tolerance and immunity. Meanwhile, immunometabolic adaptations further tune Treg cell fitness and function in inflamed tissues and tumors; lipid utilization and mitochondrial programs, among other metabolic axes, enable Treg cells to persist in nutrient- and oxygen-restricted microenvironments, while microenvironmental stress can drive functional remodeling or fragility in a subset-dependent manner. In this review, we summarize the discovery and defining biological features of Treg cells, highlight core suppressive mechanisms and regulatory circuits, and synthesize evidence for the dual roles of Treg cells in preventing autoimmunity yet enabling tumor immune evasion. We further outline current and emerging therapeutic strategies aimed at augmenting Treg cell activity to restore tolerance in autoimmune disease, or selectively depleting, functionally inhibiting, and reprogramming tumor-resident Treg cells to enhance cancer immunotherapy. Overall we discuss how deeper insight into Treg heterogeneity, checkpoint control, and immunometabolic regulation may enable more precise Treg cell-directed interventions and inform next-generation immunotherapeutic combinations across immune-mediated and malignant diseases.]]> 2025/12/18 16:11:21 2025/12/15 11:10:59 Objective This study aimed to construct a cell co-culture microfluidic chip based on droplet microfluidic to investigate the influence of multicellular interactions in complex microenvironments on the sensitivity of anti-tumor drugs.Methods We constructed a droplet microfluidic chip consisting of 12 co-culture units, with each unit containing 4 microwells for holding cell droplets, enabling the co-culture of 4 types of cells. To evaluate whether the co-culture of multiple cell types can be achieved in the droplet microfluidic chip, as well as to observe and analyze the interactions between different cell types, we investigated the interaction between microenvironmental cells and tumor cells through cell co-culture experiments. To construct a stable co-culture system capable of evaluating drug sensitivity, we conducted diffusion experiments with blue ink and model drugs to investigate the ability of drugs to diffuse in the chip and be taken up by cells. To investigate the effect of the complex microenvironment on cellular drug sensitivity, we carried out cell co-culture experiments combined with drug treatment to explore the changes in the drug sensitivity of tumor cells in the presence of microenvironmental cells. To explore the reasons for drug resistance in tumor cells under co-culture conditions, we detected DNA double-strand break marker using immunofluorescence.Results Experiments on cell culture within droplets showed that cells in each droplet exhibited good proliferation ability and consistent cell status, laying a foundation for the co-culture of multiple kind of cells. Cell co-culture experiments showed that compared with the mono-culture group, the numbers of LoVo cells, HUVECs, and macrophages in the co-culture group increased significantly. This confirms that there are obvious interactions between cancer-associated fibroblasts (CAFs), endothelial cells (HUVECs), macrophages, and tumor cells in the microenvironment, which promotes cell proliferation in the co-culture chip. Experiments on blue ink diffusion showed that drugs could diffuse uniformly and effectively into wells in different directions within the chip. Experiments on the diffusion of doxorubicin (a model drug) demonstrated that identical cells in different wells exhibited consistent drug uptake capacity. Additionally, cell co-culture experiments combined with oxiliplatin treatment revealed that with the concentration of 80 μmol/L, the survival rate of LoVo cells cultured alone was only 25%, whereas it reached 96% under co-culture conditions; With the concentration of 160 μmol/L, the survival rate of LoVo cells cultured alone was merely 2%, while that under co-culture conditions was 50%. These results indicate that the complex microenvironment composed of CAFs, HUVECs, and macrophages significantly reduces the drug sensitivity of LoVo cells to oxaliplatin through intercellular interactions. The immunofluorescence results showed that the expression level of γH2AX in LoVo cells decreased under co-culture conditions.Conclusion Our study achieved co-culture of the main constituent cells of the tumor microenvironment and analysis of their drug sensitivity in a droplet microfluidic chip for the first time. The research found that crosstalk between different microenvironmental cells strongly affects the drug sensitivity of tumor cells to oxaliplatin, suggesting that targeting the interactions between tumor microenvironmental cells is an effective strategy to improve the efficacy of tumor therapy. Our study provides new methods and approaches for the efficacy evaluation of anti-tumor drugs and the screening of new drugs. In addition, the open structural design of the co-culture chip can be combined with various omics technologies to analyze the molecular characteristics of cells under co-culture and drug treatment conditions. This is expected to provide new methods and experimental evidence for elucidating the mechanisms of drug action and identifying novel drug targets in the context of the microenvironment.]]> 2025/12/15 11:09:11 in vitro diagnosis, various MOF-based biomarker detection methods have been developed, providing technical means for the precise early diagnosis of diseases. Meanwhile, this paper deeply analyzes the key challenges that MOFs still face in clinical translation, including large-scale preparation, long-term stability, and biological safety assessment, and prospects the future development directions and application prospects.]]> 2025/12/15 11:06:33 via pathways including the polyol pathway, advanced glycation end products (AGEs) accumulation, and mitochondrial dysfunction. Concurrently, methylglyoxal (a glucose metabolite) mediates post-translational modification of thioredoxin-interacting protein (TXNIP). These events collectively trigger the dissociation of TXNIP from thioredoxin (TRX), a redox-regulating protein. The free TXNIP then translocates to the mitochondria, where it binds to The NACHT, LRR, and PYD domain-containing protein 3 (NLRP3) and promotes inflammasome assembly. This assembly activates cysteine-aspartic acid protease 1 (caspase-1), which cleaves Gasdermin D (GSDMD) to generate its N-terminal fragment (GSDMD-NT). GSDMD-NT oligomerizes to form membrane pores, leading to podocyte swelling, rupture, and the release of pro-inflammatory cytokines interleukin-1β (IL-1β) and interleukin-18 (IL-18). These cytokines amplify local inflammatory responses, induce mesangial cell proliferation, and accelerate extracellular matrix deposition, ultimately exacerbating glomerulosclerosis. MCC950, a highly selective NLRP3 inhibitor, exerts its therapeutic effects through a multi-layered mechanism: it binds to the NACHT domain (NAIP, CIITA, HET-E and TP1 domain) of NLRP3 with nanomolar affinity, forming hydrogen bonds with key residues (Lys-42 and Asp-166) within the ATP-hydrolysis pocket to block ATP hydrolysis, thereby locking NLRP3 in an inactive conformational state. Additionally, MCC950 interferes with the protein-protein interaction between TXNIP and NLRP3 and regulates mitochondrial homeostasis to reduce ROS production. Preclinical studies have demonstrated that MCC950 dose-dependently reduces proteinuria, restores the expression of podocyte-specific markers (nephrin and Wilms tumor 1 protein, WT1), and alleviates podocyte foot process fusion and glomerulosclerosis in both streptozotocin (STZ)-induced type 1 diabetic models (characterized by absolute insulin deficiency) and db/db type 2 diabetic models (driven by insulin resistance). However, discrepancies in therapeutic outcomes exist across different models—some studies report exacerbated renal inflammation and fibrosis in STZ-induced models—which may stem from differences in disease pathogenesis, intervention timing (early vs. mid-stage disease), and dosing duration. Despite its promising preclinical efficacy, MCC950 faces significant translational challenges, including low oral bioavailability, insufficient podocyte targeting, potential hepatotoxicity, and drug-drug interactions with statins (commonly prescribed to diabetic patients for cardiovascular risk management). Furthermore, off-target effects such as the inhibition of carbonic anhydrase 2 have been identified, raising concerns about its safety profile. Nevertheless, its unique mechanism of action—directly blocking podocyte pyroptosis by targeting the TXNIP-NLRP3 axis—endows it with substantial translational value. In the future, strategies to overcome these barriers are expected to advance its clinical application: targeted delivery via nanocarriers (e.g., PLGA-PEG nanoparticles or nephrin antibody-conjugated systems) to enhance renal accumulation and podocyte specificity; precise patient stratification based on biomarkers such as serum IL-18 and renal TXNIP/NLRP3 expression to identify “inflammatory-phenotype” DN patients most likely to benefit; and combination therapy with sodium-glucose cotransporter 2 (SGLT2) inhibitors—whose metabolic benefits synergize with MCC950’s anti-inflammatory effects. These approaches hold great potential to break through clinical translation bottlenecks, offering a novel, precise anti-inflammatory treatment option for DN and addressing an unmet clinical need for therapies targeting the inflammatory underpinnings of the disease.]]> 2025/12/13 14:04:01 2025/12/13 13:51:47 e.g., theta-, beta-, or gamma-band stimulation), their endogenous neural rhythms tend to align with the exogenous signal and, consequently, with each other. This alignment effectively instantiates principles of the communication through coherence (CTC) framework, which posits that coherent oscillations optimize information exchange by synchronizing periods of excitability across neural populations. Meanwhile, transcranial direct current stimulation (tDCS) exerts its influence by altering the excitability of targeted cortical regions in a polarity-dependent manner, thereby tuning the computational readiness of social-cognitive hubs such as the temporoparietal junction, superior temporal cortex, or inferior frontal gyrus. A growing body of empirical evidence demonstrates that such manipulations yield robust behavioral effects. In joint motor tasks, in-phase tACS enhances interpersonal coordination by aligning motor preparation dynamics, reducing temporal variability, and enabling individuals to anticipate each other’s actions more effectively. In communication and social learning contexts, MBS targeting high-order integrative regions promotes conceptual alignment, accelerates knowledge transfer, and supports more efficient encoding of shared representations. Notably, the effects of MBS often persist beyond the stimulation period, suggesting short-term plasticity in cross-brain networks. Post-stimulation improvements in synchronization and coordination indicate that MBS may temporarily recalibrate the neural architecture underlying social interaction. However, these benefits exhibit strong parameter specificity—precise phase relationships (e.g., 0° in-phase versus 180° anti-phase) and frequency matching are essential for generating reliable behavioral outcomes. Taken together, MBS represents a transformative step toward establishing the causal principles of human sociality and offers a new avenue for probing how multiple brains become functionally aligned during interaction.]]> 2025/12/10 9:19:59 via flavin-containing monooxygenase 3 (FMO3); TMAO is then excreted in urine. Variability in TMAO levels is influenced by marine food consumption and FMO3 modulation, which can be affected by genetics, age, and diet. Mechanistically, TMAO exacerbates AS by disrupting cholesterol metabolism, inducing endothelial dysfunction through the elevation of reactive oxygen species (ROS) and pro-inflammatory cytokines such as IL-6, and reducing nitric oxide levels. Additionally, TMAO activates NF-κB and NLRP3 pathways while enhancing platelet reactivity. Clinically, elevated TMAO levels correlate with early AS and serve as predictors of mortality in patients with stable coronary artery disease (CAD) and acute coronary syndrome (ACS), as well as major adverse cardiovascular events (MACE) in stroke patients. Conversely, SCFAs—namely acetate, propionate, and butyrate—are produced by gut bacteria such as Akkermansia muciniphila and Faecalibacterium prausnitzii through the fermentation of dietary fiber. These metabolites exert anti-AS effects: acetate aids in maintaining metabolic homeostasis; propionate protects endothelial function and reduces plaque area; and butyrate fortifies intestinal barriers while suppressing inflammation. Furthermore, SCFAs cross-regulate bile acid metabolism, thereby influencing TMAO levels, and antagonize the pro-inflammatory and lipid-disrupting effects of TMAO. The use of TMAO and SCFAs as standalone biomarkers is constrained by limitations. TMAO lacks specificity, while SCFA levels fluctuate based on gut microbiota and dietary intake. Traditional AS risk assessment tools, which include clinical indicators, imaging techniques, and single biomarkers such as CRP, LDL-C, and ASCVD scores, overlook gut metabolism and demonstrate inadequate performance in younger populations. This review advocates for an “antagonistic-complementary” combined strategy: utilizing acetate and TMAO for early AS, propionate and TMAO for progressive AS, and butyrate and TMAO for advanced AS, addressing endothelial dysfunction, lipid deposition, and plaque stability/thrombosis risk, respectively. For clinical application, standardization of detection methods is crucial; liquid chromatography-mass spectrometry (LC-MS) is the gold standard, necessitating a unified sample pretreatment protocol, such as extraction with 1% formic acid in methanol. Additionally, dried blood spots (DBS) facilitate non-invasive testing, provided that dietary controls are implemented prior to detection, including a 12-hour fast and avoidance of high-choline and high-fiber foods. Existing challenges encompass the absence of standardized systems, limited large-scale validation, and ambiguous interactions with conditions such as hypertension. The authors’ team has previously established connections between gut metabolites and AS, including the reduction of TMAO as a preventive measure for AS, thereby reinforcing this proposed strategy. Future research should prioritize standardization, the development of machine learning-optimized models, validation of interventions, and the exploration of multi-omics-based “gut microbiota-metabolite-vascular” networks. In conclusion, the combined detection of TMAO and SCFAs offers a novel framework for AS risk assessment, facilitating early diagnosis and targeted interventions while enhancing the integration of gut metabolism into cardiovascular disease management.]]> 2025/12/10 8:45:33 in vitro-induced Tregs (iTregs). It also elaborates on how Treg cells exert their inhibitory functions through multiple pathways, including the secretion of inhibitory factors, metabolic interference via competitive uptake of IL-2, and direct cell-cell contact. In recent years, significant advances have been made in Treg and FOXP3 research, progressively deepening our understanding of Treg plasticity. Investigations have revealed their capacity to adapt and acquire features of effector T helper cell subsets—such as Th1, Th2, and Th17—under specific microenvironmental cues. This plasticity also poses challenges for therapeutic interventions, as Tregs can potentially lose their suppressive function and acquire pro-inflammatory properties, thereby exacerbating disease pathology. Furthermore, the concept of tissue-specific Treg specialization has emerged, highlighting distinct functional subsets resident in organs such as the gut, adipose tissue, and tumors. For instance, gut-resident Tregs maintain tolerance to commensal bacteria and dietary antigens, while tumor-infiltrating Tregs promote immune evasion by suppressing anti-tumor immunity. Concurrently, studies on the metabolic and epigenetic regulation of Tregs, including post-translational modifications of FOXP3 such as acetylation and ubiquitination, have uncovered intricate layers of control over their stability and function. Building upon these fundamental insights, this review synthesizes FOXP3-targeted therapeutic strategies. These encompass approaches to enhance Treg function in autoimmune diseases and transplantation, including adoptive cell therapies and pharmacological interventions. Conversely, strategies to antagonize Treg-mediated immunosuppression in oncology, such as immune checkpoint blockade, are discussed. Notably, the development of programmable engineered Tregs represents a particularly promising frontier for achieving antigen-specific immune modulation with enhanced precision and efficacy. However, the field of Treg research continues to grapple with several complex challenges. The deeper, underlying regulatory networks governing Treg biology remain incompletely understood. A comprehensive resolution of Treg heterogeneity is still lacking, and significant hurdles exist in maintaining the stability and function of Tregs during in vitro expansion and culture. Furthermore, the precision and efficacy of translating these findings into clinical applications require substantial improvement. Consequently, both the development of Treg-targeting pharmacological agents and the refinement of Treg-based cellular therapies demand more profound exploration. The ultimate goal is to overcome these obstacles and achieve transformative, breakthrough clinical outcomes in the foreseeable future.]]> 2025/12/7 10:07:30 2025/12/6 10:10:59 +CD25⁺ suppressive T cells by Shimon Sakaguchi and the subsequent discovery of the lineage-defining transcription factor forkhead box P3 (Foxp3) by Mary E. Brunkow and Fred Ramsdell, Treg cells have been recognized as indispensable guardians of immune homeostasis. These advances collectively clarified that central tolerance alone is insufficient to eliminate all self-reactive lymphocytes, and peripheral tolerance—critically mediated by Treg cells—serves as a second barrier preventing pathological autoimmunity. Contemporary research has therefore expanded the functional and therapeutic significance of Treg cells across the fields of autoimmunity, cancer, transplantation, and tissue repair. Treg cells originate from two major developmental pathways: thymus-derived Treg (tTreg) cells, which arise from high-affinity self-reactive TCR interactions in the thymus, and peripheral Treg (pTreg) cells, which are induced in mucosal and other peripheral tissues via antigen stimulation under tolerogenic cytokine cues such as IL-2 and TGF-β. Their differentiation is orchestrated by a multilayered transcriptional and epigenetic network within the Foxp3 locus, including CNS0-CNS3 elements that integrate TCR, cytokine and environmental signals to support lineage stability. Treg cells are identified by a combination of surface and intracellular markers——CD25, CD127^low/-, CTLA-4, GITR, TNFR2, CD39/CD73, and Foxp3——although marker specificity varies with context, activation state, and species. Their notable heterogeneity enables Treg cells to adopt Th1-, Th2-, Th17- or Tfh-like programs through transcription factors such as T-bet, GATA3, RORγt and Bcl6, thereby permitting precise suppression of corresponding effector responses. Tissue-resident Treg subsets in adipose tissue, skin, skeletal muscle and the CNS have emerged as highly specialized regulators that integrate local metabolic and stromal signals, contributing not only to immunosuppression but also to tissue regeneration. Mechanistically, Treg cells maintain tolerance through three synergistic strategies: (1) secretion of suppressive cytokines (IL-10, TGF-β, IL-35) and cytotoxic mediators (granzyme B, perforin); (2) cell-contact-dependent interactions via CTLA-4, PD-1/PD-L1, and LAG-3 to limit dendritic cell maturation and T-cell activation; and (3) metabolic regulation including IL-2 consumption, adenosine production via CD39/CD73, cAMP transfer through gap junctions, and adaptation to hypoxic or nutrient-restricted microenvironments. Dysregulation of Treg cell quantity or function contributes directly to pathogenesis across a spectrum of diseases. In autoimmune diseases such as type 1 diabetes, systemic lupus erythematosus, rheumatoid arthritis and multiple sclerosis, impaired Foxp3 stability, epigenetic abnormalities, defective IL-2 signaling or inflammatory cytokine exposure undermine Treg suppressive capacity, facilitating excessive autoreactive T- and B-cell activation. In contrast, within the tumor microenvironment, Treg cells are often enriched through chemokine axes such as CCL22-CCR4 and reinforced by interaction with myeloid-derived suppressor cells and tumor-associated macrophages. Their enhanced metabolic fitness and suppressive phenotype enable tumors to evade immune destruction. In transplantation, Treg cells are essential for promoting graft tolerance, restraining effector T-cell activation, and facilitating tissue repair after injury. Rapid therapeutic progress has been driven by Treg-based immunomodulation. Polyclonal Treg adoptive transfer has demonstrated safety and preliminary efficacy in type 1 diabetes, autoimmune disorders, solid-organ transplantation, and graft-versus-host disease. Gene-engineered Treg therapies, including antigen-specific CAR-Treg and TCR-Treg platforms, offer superior precision and stability, enabling targeted suppression at disease sites. Additional strategies——including low-dose IL-2 therapy, small-molecule modulation, and selective depletion of intratumoral Treg using antibodies against CCR4, CCR8, CTLA-4 or CD25×TIGIT bispecifics——further expand the translational landscape. Collectively, advances in Treg biology——from lineage ontogeny and molecular regulation to specialized functions and therapeutic engineering——highlight Treg cells as central orchestrators of immune equilibrium. Continued integration of single-cell multi-omics, systems immunology and gene-editing technologies is expected to accelerate the development of highly specific, durable and safe Treg-centered therapies, ultimately enabling precision control of immune tolerance in autoimmunity, transplantation and cancer.]]> 2025/12/5 10:24:29 Objective Pioneer transcription factors (PTFs) possess the unique ability to recognize and bind their target DNA sequences within compacted nucleosomal DNA, thereby initiating chromatin opening and gene expression. They play pivotal roles in fundamental biological processes such as embryonic development, cellular reprogramming, and tumorigenesis. The specific regulatory mechanism by which nucleosomal rotational positioning governs PTF-nucleosome interactions remains inadequately elucidated. This study aims to systematically investigate the role of the rotational orientation of motifs in PTF-nucleosome binding.Methods We employed a DNA deformation energy model to predict the rotational positioning of DNA on nucleosomes. We analyzed high-throughput in vitro data from the NCAP-SELEX assay, which profiles the binding landscapes of numerous transcription factors to nucleosomal DNA. For in vivo analysis, we integrated genome-wide binding data (ChIP-seq) and nucleosome positioning data (MNase-seq) for eight well-characterized pioneer factors (OCT4, SOX2, KLF4, GATA4, MYOD1, FOXA1, CEBPA, and ASCL1) in human cells. Binding motifs were classified as “TF-bound” if they overlapped with ChIP-seq peaks and “TF-unbound” otherwise. DNA bendability profiles and fast Fourier transform (FFT) analysis were used to assess rotational positioning patterns around these motif sites. This analytical framework was further applied to specific biological contexts, including cellular reprogramming from IMR90 fibroblasts to induced pluripotent stem cells (iPSCs) and the differentiation of human embryonic stem cells (hESCs) to human neuroectodermal cells (hNECs).Results Our in vitro analysis revealed a strong dependence of transcription factor binding on the rotational orientation of TF-binding motifs. For SOX7, the unbound motifs at specific enrichment peaks exhibited a rotational phase clearly opposite to that of the SOX7-bound motifs. Similarly, analysis of P53 binding sequences confirmed that successful binding in vitro correlated with model-predicted exposure of the DNA minor groove at the motif center, consistent with P53’s binding mode. Genome-wide in vivo analysis of the eight PTFs showed that their DNA binding motifs were generally associated with DNA sequences exhibiting significant 10-bp periodicity in bendability, suggesting an inherent potential for nucleosome association. Crucially, for most factors (except ASCL1), the average rotational positioning preferences were remarkably similar between TF-bound and TF-unbound motifs. This indicates that, at a global genomic level, rotational positioning is not the primary determinant dictating whether a nucleosomal motif is bound by its cognate PTF in vivo. This phenomenon persisted during cellular reprogramming (IMR90 to iPSC), where the rotational positioning of OSKM factor motifs bound versus unbound in nucleosomal regions showed no significant overall difference. Interestingly, during hESC differentiation to hNECs, SOX2 binding sites underwent comprehensive reprogramming. In hNECs, the rotational positioning of nucleosomal SOX2-bound motifs was significantly different and, unexpectedly, opposite to the general preference observed in hESCs and for unbound motifs in hNECs, suggesting a cell context-dependent rewiring of binding mechanisms.Conclusion This study suggests a distinction in the role of DNA rotational positioning in TF-nucleosome binding between in vitro and in vivo environments. While rotational positioning critically governs the binding efficiency of factors like SOX7 and P53 in simplified in vitro systems, PTFs in vivo appear to overcome this steric hindrance at the binding interface. The ability of PTFs to bind nucleosomal motifs, even when key interaction surfaces are partially buried, might stem from their unique structural properties (e.g., intrinsically disordered regions, DNA distortion/binding domains), nucleosome breathing which transiently exposes DNA, and potential cooperativity with other factors. Our results highlight the unique capacity of pioneer factors to drive chromatin openness through mechanisms beyond rotational positioning.]]> 2025/12/4 14:50:58 e.g., PI3K-Akt, mTOR, Wnt) and core nodes such as NFKBIA and CXCL12 that may mediate the protective effects of exercise. The review further discusses the potential of exercise-mediated biomarkers as objective indicators for diagnosis, dynamic monitoring of therapeutic efficacy and patient stratification. Multi-gene diagnostic models based on peripheral samples (e.g., hair follicles, blood) demonstrate how biomarker panels can distinguish non-recovered, almost-recovered and healthy individuals, providing a molecular basis for staging METH use disorder and evaluating the impact of exercise interventions. The temporal dynamics of biomarker changes before and after exercise are highlighted, underscoring the value of longitudinal monitoring of factors such as BDNF, immune-related genes and circulating microRNAs to capture treatment-relevant windows of plasticity. In addition, the underlying molecular basis of exercise as an adjunct therapy and gene-targeted exercise strategies that leverage individual biomarker and gene expression profiles to optimize exercise prescriptions are summarized. Current conceptual and technical challenges are outlined, including heterogeneity of biomarker responses, individual variability, assay sensitivity and specificity, and gaps between preclinical findings and clinical application, together with future directions for integrating exercise with multi-omics, artificial intelligence-assisted biomarker discovery and, prospectively, gene-editing-based interventions. Particular emphasis is placed on the need to standardize exercise protocols, incorporate stage-specific and sex-sensitive designs, and combine exercise with pharmacotherapy and psychosocial rehabilitation in real-world clinical settings across diverse healthcare systems. Overall, this review aims to provide a comprehensive and integrated mechanistic framework and updated theoretical support for the application of exercise-mediated biomarkers in the diagnosis, therapeutic effect monitoring and personalized intervention of METH addiction, and to offer new and clinically relevant insights into the development of precision medicine strategies for substance use disorders.]]> 2025/12/4 10:39:31 Objective Osteoporosis is a progressive metabolic bone disorder characterized by reduced bone mass and microarchitectural deterioration, leading to increased skeletal fragility and susceptibility to fracture. Conventional diagnostic and risk-assessment approaches, such as dual-energy X-ray absorptiometry (DXA) and the FRAX? algorithm, remain limited because they rely primarily on bone mineral density (BMD) and a restricted set of clinical factors, failing to capture the multidimensional determinants of bone strength. This study aimed to develop and validate a deep learning-based multi-dimensional feature fusion model that integrates heterogeneous biological, structural, functional, and genetic information to improve the early identification of osteoporosis and enhance fracture risk prediction.Methods A total of 12 856 participants were aggregated from three major data repositories: the International Osteoporosis Foundation database, a clinical research database on osteoporosis, and a large-scale medical informatics dataset. A unified data-extraction protocol was applied to ensure cross-database harmonization, followed by quality control, variable standardization, and missing-data handling using multiple imputation by chained equations (MICE). A multimodal deep learning framework was constructed to integrate six categories of features: BMD measurements, quantitative bone microarchitecture parameters, bone turnover biomarkers, established clinical risk factors, osteoporosis-related genetic polymorphisms, and sensor-derived balance and gait metrics. A multi-task learning strategy was adopted to simultaneously predict osteoporosis status and 10-year fracture probability. Model training used five-fold cross-validation, and external validation was conducted in an independent clinical cohort. Model performance was benchmarked against DXA alone and the FRAX tool.Results In the internal test cohort, the proposed model achieved an AUC of 0.936 (95% CI: 0.927-0.945), with a sensitivity of 87.5% and a specificity of 91.2%, significantly outperforming DXA alone (AUC=0.889) and FRAX (AUC=0.842) (both P<0.05). External validation yielded an AUC of 0.918 (95% CI: 0.905-0.931) and demonstrated strong calibration (Brier score=0.087). SHAP analyses revealed that, beyond BMD, key predictors included trabecular separation, serum C-terminal telopeptide of type I collagen, balance-related metrics, gait speed, and specific SNPs within the RANKL and VDR loci. A simplified model incorporating only BMD, clinical features, and bone turnover markers preserved high accuracy (AUC=0.917), underscoring its feasibility for resource-limited clinical environments.Conclusion The deep learning-based multi-dimensional feature fusion model markedly enhances the precision and individualization of osteoporosis assessment compared with traditional tools. By integrating biological, structural, metabolic, genetic, and functional dimensions of bone health, the model provides a comprehensive representation of skeletal integrity and robustly improves both diagnostic accuracy and fracture risk prediction. Its strong generalizability across demographic subgroups highlights its clinical applicability. This work offers a promising direction for developing next-generation intelligent decision-support systems that may meaningfully improve osteoporosis screening, risk stratification, and preventive care.]]> 2025/12/2 16:19:41 +-dependent sirtuins. Histone deacetylase inhibitors (HDACi) exert significant neuroprotective effects following ischemic stroke through a multi-target, multi-pathway synergistic mechanism. The core mechanisms include inhibition of neuronal apoptosis, regulation of neuroinflammation, protection of the blood-brain barrier (BBB), and improvement of cognitive impairments (PSCI). HDACi regulate gene expression epigenetically by upregulating genes such as p21/CIP1, leading to cell cycle arrest, while also modulating apoptosis-related proteins by inhibiting pro-apoptotic signaling pathways, thereby reducing neuronal cell death. In terms of neuroinflammation, HDACi suppress NF-κB and activate Nrf2 pathways, decreasing the release of pro-inflammatory cytokines and preventing the pro-inflammatory polarization of microglia and macrophages, thus modulating the inflammatory response. Regarding BBB protection, HDACi regulate the expression and restoration of tight junction proteins such as occludin and claudin-5, while inhibiting the release of destructive factors like MMP-9, alleviating vasogenic edema, and maintaining BBB integrity. Furthermore, HDACi promote the transcription of neurotrophic factors and synaptic-associated genes, enhancing neuroplasticity and repairing neuronal networks, ultimately improving cognitive functions. Therefore, HDACi demonstrate great potential as a multifaceted therapeutic strategy for ischemic stroke. HDACis represent a powerful multi-target therapeutic approach that transcends the limitations of traditional thrombolytic therapies. HDACis represent a powerful multi-target therapeutic approach that transcends the limitations of traditional thrombolytic therapies, which are hampered by a narrow time window and risks of reperfusion injury. Histone acetylation is increased by HDACis, which relaxes chromatin and reactivates protective gene transcription. Their selectivity and chemical structure are used to classify them. Trichostatin A (TSA) and sodium butyrate (SB), a short-chain fatty acid, are examples of broad-spectrum inhibitors that are effective in lowering infarct volume and reducing neuroinflammation. More selective inhibitors, including Tubastatin A (HDAC6-selective) and Entinostat (class I-selective), may have fewer adverse effects while increasing efficacy. By suppressing apoptosis by modifying the p53, Bcl-2, and JNK pathways, reducing neuroinflammation by blocking NF-κB and NLRP3 activation, preserving the integrity of the blood-brain barrier by strengthening tight junction proteins, and promoting synaptic plasticity, neurogenesis, and the expression of neurotrophic factors like BDNF, these inhibitors provide neuroprotection through a variety of interrelated mechanisms.Despite their great potential, HDACis’ clinical translation is fraught with difficulties, mostly because of non-selective inhibition-related adverse effects such as hepatotoxicity and gastrointestinal problems with valproic acid (VPA). In order to accomplish targeted delivery to the brain, future research is consequently shifting toward the development of highly selective inhibitors, refining dosing regimes, and utilizing cutting-edge drug delivery technologies like nanoparticles. In summary, the development of effective neuroprotective and neurorestorative treatments for IS may be greatly aided by a nuanced, spatiotemporally accurate understanding of HDAC activities and the judicious use of subtype-selective HDACis.]]> 2025/11/27 8:50:26 2025/11/21 10:55:31 e.g., carvedilol) and ACE inhibitors/ARBs have shown protective effects on LVEF in some randomized trials, though results remain inconsistent and require larger confirmatory studies. (3) Metabolic targeted interventions: animal experiments indicate that activation of PPARα or supplementation with L carnitine restores fatty acid oxidation and improves ATP generation, suggesting metabolic modulators as promising cardioprotective candidates. (4) Lifestyle modifications: regular aerobic exercise up regulates mitochondrial biogenesis genes (PGC-1α) and reduces reactive oxygen species (ROS) production; small clinical studies have demonstrated a potential benefit in attenuating cTnT elevation. However, DOX-induced cardiotoxicity has not been effectively controlled, indicating that the core mechanism underlying DOX-related cardiac toxicity remains unidentified. Cardiomyocytes are high energy demand cells, and metabolic dysregulation is considered a central component of DOX induced cardiotoxicity. DOX disrupts myocardial metabolic balance through several interrelated pathways. (1) Oxidative stress and mitochondrial damage: DOX generates abundant ROS within cells, leading to mitochondrial membrane potential loss, lipid peroxidation, and iron accumulation, which suppress electron transport chain activity and markedly reduce ATP synthesis efficiency. (2) Autophagy dysregulation: DOX interferes with autophagic flux, preventing the clearance of damaged mitochondria and further aggravating apoptosis and inflammatory responses. (3) Inflammation and cytokine release: oxidative stress activates NF-κB, up-regulating pro inflammatory cytokines such as TNF-α and IL-6, creating a chronic inflammatory microenvironment that weakens myocardial contractility. (4) Epigenetic modifications: studies have shown that DOX alters DNA methylation and histone acetylation patterns in cardiomyocytes, affecting the expression of key metabolic genes (e.g., PGC-1α, CPT-1) and further inhibiting fatty acid β oxidation. These mechanisms collectively lead to suppressed fatty acid oxidation and compensatory up regulation of glycolysis, manifested by an elevated lactate/pyruvate ratio, accumulation of medium chain acyl carnitines, and a pronounced decline in ATP production. The resulting energy deficit precipitates left ventricular contractile dysfunction and, ultimately, heart failure. Despite extensive basic and clinical research on DOX cardiotoxicity, a unified risk assessment model and precise interventions targeting metabolic disturbances remain lacking. This review systematically summarizes recent progress on DOX induced cardiotoxicity and highlights that impairment of myocardial energy metabolism is a central mechanism of injury, thereby deepened our understanding of how impaired myocardial energy metabolism drives DOX induced injury, we can move toward safer chemotherapy protocols that achieve “cure cancer without harming the heart”.]]> 2025/11/21 8:04:12 +-dependent deacetylases, play a central role in critical biological processes such as cellular metabolism regulation, immune homeostasis maintenance, and stress injury repair, and have been identified as potential intervention targets for neurological diseases. This review systematically summarizes the cellular localization and core biological functions of each member of the Sirtuins family, with a focus on their regulatory roles and molecular mechanisms in the pathological process of SCI: SIRT1, 3, 5, and 6 inhibit the excessive activation of the NF-κB pathway and block NLRP3 inflammasome assembly through deacetylation modification, thereby participating in the regulation of neuroinflammation after SCI; meanwhile, they alleviate oxidative stress injury in spinal cord tissues by activating the Nrf2 antioxidant pathway and enhancing the activity of antioxidant enzymes such as SOD and NADPH, forming a “anti-inflammatory-antioxidant” synergistic protective effect. SIRT7 delays neuronal apoptosis by promoting DNA damage repair and inhibiting apoptotic signaling pathways. SIRT3 and SIRT5 target mitochondrial function, improve mitochondrial energy metabolism by regulating the modification status of enzymes involved in the tricarboxylic acid cycle and oxidative phosphorylation, and restore autophagic homeostasis by modulating the acetylation levels of FOXO3a and AMPK, providing metabolic support for neural repair. We summarize that a variety of natural Chinese herbal components (e.g., resveratrol, matrine) and synthetic compounds (e.g., SRT1720, AGK2) can influence the pathological progression of SCI by targeting and regulating members of the Sirtuins family. We propose that Sirtuins-targeted combined therapeutic strategies (e.g., combined with stem cell transplantation, neurotrophic factor supplementation, or antioxidant intervention) are expected to break through the limitations of single therapies and enhance the repair effect of SCI through multi-mechanism synergistic actions. In conclusion, the Sirtuins family exhibits critical mechanisms of action and potential intervention value in the pathophysiological process of SCI. This review summarizes and prospects novel Sirtuins-targeted therapeutic strategies, aiming to provide new insights for basic research and clinical translation in this field.]]> 2025/11/20 10:44:23 2025/11/17 16:06:04 -/- fibroblasts in vitro is preceded by stochastic ALT induction, indicating that stochastic recombination at dysfunctional telomeres can overcome senescence barriers and initiate malignant transformation. Consistent with this model, whole-genome sequencing of ALT-positive tumors frequently identifies early driver mutations in TP53, ATRX, and DAXX, which disable replicative-senescence checkpoints while simultaneously enhancing telomeric HDR. Here, we synthesize the convergent molecular features of ALT tumors and senescent cells, highlighting:(1) replication stress as a common initiating cue, (2) SUMO-dependent phase separation as a platform for telomere-templated recombination, and (3) epigenetic erosion of ATRX/DAXX-mediated heterochromatin as a rate-limiting step. Finally, we discuss therapeutic implications: (1) pharmacological inhibition of SUMO E1/E2 enzymes to prevent APB scaffold nucleation, (2) synthetic-lethal exploitation of replication stress via ATR/CHK1 inhibitors, and (3) immune-microenvironment-targeting strategies that remodel the senescence-associated secretory phenotype (SASP). Collectively, this review elucidates the mechanisms by which ALT regulates cellular senescence and tumorigenesis, offering druggable vulnerabilities and translational strategies for the clinical management of telomerase-negative tumors.]]> 2025/11/17 15:52:58 Objective Cerebral palsy (CP) is a prevalent neurodevelopmental disorder acquired during the perinatal period, with periventricular white matter injury (PWMI) serving as its primary pathological hallmark. PWMI is characterized by the loss of oligodendrocytes (OLs) and the disintegration of myelin sheaths, leading to impaired neural connectivity and motor dysfunction. Neural stem cells (NSCs) represent a promising regenerative source for replenishing lost OLs; however, conventional two-dimensional (2D) in vitro culture systems lack the three-dimensional (3D) physiological microenvironment. Microfluidic chip technology has emerged as a powerful tool to overcome this limitation by enabling precise spatial and temporal control over 3D microenvironmental conditions, including the establishment of stable concentration gradients of bioactive molecules. Catalpol, an iridoid glycoside derived from traditional medicinal plants, exhibits dual antioxidant and anti-apoptotic properties. Despite its therapeutic potential, the capacity of catalpol to drive NSC differentiation toward OLs under biomimetic 3D conditions, as well as the underlying molecular mechanisms, remains poorly understood. This study aims to develop a microfluidic-based 3D biomimetic platform to systematically investigate the concentration-dependent effects of catalpol on promoting NSCs-to-OLs differentiation and to elucidate the role of the caveolin-1 (Cav-1) signaling pathway in this process.Methods We developed a novel multiplexed microfluidic device featuring parallel microchannels with integrated gradient generators capable of establishing and maintaining precise linear concentration gradients (0-3 g/L catalpol) across 3D NSCs cultures. This platform facilitated the continuous perfusion culture of NSC-derived 3D spheroids, mimicking the dynamic in vivo microenvironment. Real-time cell viability was assessed using Calcein-AM/propidium iodide (PI) dual staining, with fluorescence imaging quantifying live/dead cell ratios. Oligodendrocyte differentiation was evaluated through quantitative reverse transcription polymerase chain reaction (qRT-PCR) for MBP and SOX10 gene expression, complemented by immunofluorescence staining to visualize corresponding protein changes. To dissect the molecular mechanism, the Cav-1-specific pharmacological inhibitor methyl-β-cyclodextrin (MCD) was employed to perturb the pathway, and its effects on differentiation markers were analyzed.Results Catalpol demonstrated excellent biocompatibility, with cell viability exceeding 96% across the entire tested concentration range (0-3 g/L), confirming its non-cytotoxic nature. At the optimal concentration of 0-3 g/L, catalpol significantly upregulated both MBP and SOX10 expression (P<0.05, P<0.01), indicating robust promotion of oligodendroglial differentiation. Intriguingly, Cav-1 mRNA expression was progressively downregulated during NSC differentiation into OLs. Further inhibition of Cav-1 with MCD further enhanced this effect, leading to a statistically significant increase in OL-specific gene expression (P<0.05, P<0.01), suggesting Cav-1 acts as a negative regulator of OLs differentiation.Conclusion This study established an integrated microfluidic gradient chip-3D NSC spheroid culture system, which combines the advantages of precise chemical gradient control with physiologically relevant 3D cell culture. The findings demonstrate that 3 g/L catalpol effectively suppresses Cav-1 signaling to drive NSC differentiation into functional OLs. This work not only provides novel insights into the Cav-1-dependent mechanisms of myelination but also delivers a scalable technological platform for future research on remyelination therapies, with potential applications in cerebral palsy and other white matter disorders. The platform’s modular design permits adaptation for screening other neurogenic compounds or investigating additional signaling pathways involved in OLs maturation.]]> 2025/11/3 15:09:16 in vivo and possess pharmacokinetic characteristics marked by a long terminal elimination half-life. Symmetric IgG-like bispecific antibodies feature a symmetric structure and are bivalent for each target antigen. During production, since the two heavy chains carrying the Fc region are identical, issues related to chain mispairing do not arise, thereby simplifying the manufacturing and purification processes. Moreover, the pairing of two identical natural Fc chains allows for correct disulfide bond formation, resulting in a more stable structure. Glycosylation of the Fc region remains in its natural state, preserving Fc-mediated functions. However, as the variable regions of the two antigen-binding sites are linked to the same heavy chain, the design must account for potential steric hindrance when the antibody binds both antigens simultaneously. In contrast, asymmetric IgG-like bispecific antibodies consist of two different heavy chains, each carrying antigen-binding domains that recognize distinct antigens or epitopes, offering greater structural design flexibility. Their development, however, requires addressing challenges related to heavy chain and light chain pairing. Strategies to prevent heavy chain mispairing include engineering the spatial configuration of the Fc region, facilitating Fab arm exchange, applying IgG-IgA chain exchange techniques, and introducing charge modifications in the Fc domain. To ensure correct light chain-heavy chain pairing, approaches such as introducing electrostatic interactions or novel disulfide bonds between the chains, swapping the CH1 and CL domains, or replacing the CH1-CL module with a T-cell receptor-derived structure have been employed. Non-IgG-like bispecific antibodies lack an Fc region. They are characterized by their small size and low molecular mass, which confer enhanced tissue penetration, rapid systemic clearance, and high structural versatility. Unlike IgG-based formats, they do not bind Fc receptors or activate the complement system directly. Different bispecific antibodies exert therapeutic effects through distinct mechanisms, which are largely determined by their structural design and target specificity. Currently recognized mechanisms of action include T cell redirection, dual signaling pathway blockade, immune checkpoint inhibition, formation of ternary complexes by binding two molecules, neutralization of soluble ligands, and acting as cofactors to mimic or enhance biological processes. Bispecific antibodies are extensively applied in cancer therapy. Beyond oncology, they are also being developed for the treatment of autoimmune diseases, infectious diseases, hematological disorders, and other conditions. Different structural designs offer unique advantages across therapeutic areas. This article elaborates on the structural designs of various types of bispecific antibodies and reviews their mechanisms of action and applications in therapeutics.]]> 2025/10/31 15:52:08 via low pH; and class III proteins, which combine α-helices and β-structures, with mechanisms involving internal fusion loop insertion and membrane remodeling. It is evident that a comprehensive understanding of the mechanisms underlying viral membrane fusion is crucial for developing effective stabilization strategies for the prefusion conformation of these proteins. This paper presents several such methods that have been successfully employed in this endeavor, including: disulfide bond formation to stabilize domain-domain interactions; hydrophobic cavity filling to enhance core stability; proline substitution to restrict structural transitions in hinge regions; and multimer domains stabilizing the trimeric conformation. The stabilization strategies summarized and discussed herein have been validated in studies of multiple viral membrane fusion proteins and further applied in the design of vaccine antigens. Moreover, this paper highlights the potential applications of novel techniques, such as time-resolved cryo-EM, in capturing conformational intermediates and resolving dynamic transition processes. Such stabilization efforts, informed by structural insights, have yielded promising outcomes—for instance, prefusion-stabilized RSV F antigens that elicit potent neutralizing antibodies in clinical trials. Looking ahead, integrating computational modeling, such as AlphaFold predictions, with experimental data will further refine these approaches. Ultimately, these innovations promise to enable structure-guided therapeutics to combat emerging viral threats. This review provides a theoretical foundation for developing stable viral membrane fusion proteins, offering crucial insights for understanding viral membrane fusion mechanisms and advancing next-generation vaccines and antiviral drugs.]]> 2025/10/31 11:58:04 Objective Non-coding RNA (ncRNA) plays a crucial regulatory role in various biological processes. Numerous studies have shown that the functions of ncRNAs depend not only on their nucleotide sequences but also closely on their spatial conformations, particularly their secondary structures. Traditional methods for predicting RNA secondary structures often have low accuracy, usually around 50 to 70 percent, and their performance further declines when dealing with complex structures or long sequences. Although deep learning methods have improved prediction performance to some extent, they still face challenges such as high model complexity, difficulty in capturing long-range dependencies, and poor generalization in predicting complex structures. Therefore, it is necessary for RNA secondary structure prediction to develop new methods.Methods This study proposed an end-to-end prediction model RMDfold, which employed a feature extraction strategy combining residual Mamba (resMamba) and dense connections (Dense). The model framework consisted of three modules: one-dimensional (1D) modeling, feature mapping, and two-dimensional (2D) modeling. For the 1D modeling module, the model learned contextual dependencies among nucleotides from RNA sequences, providing the foundation for possible base-pairing; for the feature mapping module, the 1D features were projected into a 2D space to form a constraint matrix that represented potential base-pairing relationships; for the 2D modeling module, the model further learned the pairing patterns between nucleotides, and determined the unique pairing of each nucleotide through pairing constraints, to obtain the final secondary structure. For both 1D and 2D modeling modules, a four-layer Dense block composed of batch normalization, ReLU activation, and convolution was used to extract short-range features; and a dual-branch residual structure resMamba based on a state-space model was used to model long-range dependencies, thereby achieving effective integration of short- and long-range features. To validate the effectiveness of the proposed method, it was compared with Ufold, REDfold, TransUfold, and sincfold on the three public datasets RNAStralign, ArchiveII, and bpRNA-new.Results The proposed RMDfold method demonstrates superior performance compared with existing algorithms in structure prediction, pseudoknot prediction, sequence prediction across varying lengths, and model complexity analysis, while requiring fewer parameters and achieving faster inference. For the structure prediction, the method achieved F1, Matthews correlation coefficient (MCC), precision and recall of 0.973 5, 0.973 1, 0.975 6 and 0.972 3 on RNAStralign, 0.854 3, 0.855 6, 0.874 7 and 0.876 2 on ArchiveII, and 0.382 8, 0.401 5, 0.536 5 and 0.318 7 on bpRNA-new, respectively. For the pseudoknot prediction based on ArchiveII, the model achieved F1, MCC, precision and recall of 0.741 4, 0.743 3, 0.752 5 and 0.739 6. For the sequence prediction across different lengths, RMDfold maintained an accuracy of 0.70 for sequences ranging from 200 to 500 nt. In terms of model complexity, RMDfold required 2.886 7 M parameters and achieves an inference speed of 0.026 0 s.Conclusion RMDfold enables highly accurate prediction of RNA secondary structures. It helps to deeply and comprehensively reveal the central roles of RNA molecules in gene expression regulation, molecular recognition, and catalysis. and also provides important structure support for elucidating disease-related variant mechanisms, designing RNA-targeted drugs, and advancing research in evolution and comparative genomics.]]> 2025/10/31 10:54:01 2025/10/29 14:57:25 MPC1/2, HSP27, and SIRT6 or knockout of Bax, Apaf1, and IGF-1R—have demonstrated significant improvements in cell viability and product yield. The combination of multi-omics metabolic modeling with artificial intelligence (AI)-based prediction offers new opportunities for building self-regulating CHO systems capable of dynamic adaptation to environmental stress. Regarding glycosylation uniformity, which determines therapeutic efficacy and immunogenicity, gene editing-based glycoengineering (e.g., FUT8 knockdown or ST6Gal1 overexpression) has enabled the humanization of CHO glycan profiles, minimizing non-human sugar residues and enhancing drug stability. Process-level strategies such as galactose or manganese co-feeding and fine control of temperature or osmolarity further allow rational regulation of glycosyltransferase activity. Additionally, in vitro chemoenzymatic remodeling provides a complementary route to construct human-type glycans with defined structures, though industrial applications remain constrained by cost and scalability. The integration of model-driven process design and AI feedback control is expected to enable real-time prediction and correction of glycosylation deviations, ensuring batch-to-batch consistency in continuous biomanufacturing. Long-term expression stability, another critical challenge, is often impaired by promoter silencing, chromatin condensation, and random genomic integration. Molecular optimization—such as the use of improved promoters (CMV, EF-1α, or CHO endogenous promoters), Kozak and signal peptide refinement, and incorporation of chromatin-opening elements (UCOE, MAR, STAR)—helps maintain durable transcriptional activity, while site-specific integration systems including Cre/loxP, Flp/FRT, φC31, and CRISPR/Cas9 can enable single-copy, position-independent gene insertion at genomic safe-harbor loci, ensuring stable, predictable expression. Collectively, this review highlights a paradigm shift in CHO system optimization driven by the convergence of genome editing, synthetic biology, and artificial intelligence. The transition from empirical optimization to rational, data-driven design will facilitate the development of programmable CHO platforms capable of autonomous regulation of metabolic flux, glycosylation fidelity, and transcriptional activity. Such intelligent cell factories are expected to accelerate the transformation from laboratory-scale research to industrial-scale, high-consistency, and economically sustainable biopharmaceutical manufacturing, thereby supporting the next generation of efficient and customizable biologics manufacturing.]]> 2025/10/21 21:55:50 2025/10/20 11:23:43 e.g., pH, ionic strength, enzymatic degradation), and limited functional diversity. To address these drawbacks, extensive research has been devoted to modification strategies aimed at enhancing stability, structural integrity, and cargo protection. Polysaccharide modification enables the formation of stable core-shell structures through electrostatic interactions, hydrogen bonding, and steric hindrance. Coatings with pectin, chitosan, or alginate improve stability across a broad range of pH values and ionic strengths, enhance resistance to gastric digestion, and enable sustained release in the intestine, thereby improving bioavailability. Polyphenol modification introduces hydrogen bonding, hydrophobic interactions, and occasionally covalent cross-linking, which modify nanoparticle structure and surface properties. These composites exhibit improved hydrophilicity, colloidal stability, and resistance to oxidative or UV-induced degradation, along with intrinsic antioxidant activity. Lipid modification leverages hydrophobic interactions with oils or fatty acids to form composite nanoparticles or Pickering emulsions. This approach increases the loading capacity for hydrophobic compounds, creates a protective barrier, and enhances oral bioavailability by promoting emulsification and intestinal absorption. Additional strategies include the incorporation of auxiliary proteins (e.g., casein, whey protein) to improve stability and emulsifying capacity, as well as the use of inorganic nanomaterials (e.g., SiO₂, AuNPs) to impart mechanical reinforcement, antibacterial properties, and stimuli-responsive functions. Genetic engineering further allows molecular-level tailoring of amino acid sequences to fine-tune hydrophobicity, amphiphilicity, and self-assembly behavior. These engineered nanocarriers exhibit advanced functionalities. They enable sustained and stimuli-responsive release triggered by pH, redox potential, enzymes, temperature, or light, facilitating on-demand delivery that maximizes efficacy while minimizing off-target effects. Targeting can be achieved passively through the enhanced permeability and retention (EPR) effect, or actively via conjugation with ligands, antibodies, or peptides that recognize specific receptors. The applications of these systems are broad. In functional foods and nutraceuticals, prolamin-based carriers improve the stability, bioavailability, and controlled release of sensitive bioactive ingredients, supporting personalized nutrition. In biomedicine, they enhance oral drug delivery, enable targeted cancer therapy with reduced systemic toxicity, and serve as scaffolds for tissue engineering. In agriculture, they facilitate the controlled release of pesticides, fertilizers, and growth regulators, helping to reduce environmental contamination and promote sustainable practices; they are also being explored for smart food packaging applications. Despite significant progress, challenges remain in clinical and industrial translation. There is an urgent need for standardized characterization methods, comprehensive in vivo safety and efficacy evaluations, and scalable, regulation-compliant manufacturing processes. Future research should adopt rational design principles to develop multi-stimuli-responsive and sustainable systems. The integration of artificial intelligence and data-driven approaches may further accelerate the development of personalized theranostic platforms and co-delivery systems. Continued innovation is expected to solidify the role of prolamin-based nanocarriers in advancing global health and sustainable development.]]> 2025/10/16 16:35:31 -), suppresses glutathione (GSH) synthesis, and impairs GPX4-mediated detoxification of lipid peroxides, leading to uncontrolled lipid peroxidation and oxidative stress that ultimately trigger ferroptotic cell death. This iron-driven cell death exhibits distinct morphological and biochemical characteristics compared with other forms of cell death. Ferroptosis contributes to AD pathogenesis through multiple mechanisms and is closely associated with disease onset and progression. Iron overload can affect early amyloid precursor protein processing, accelerate Aβ production and plaque deposition, reduce Tau protein solubility, and promote Tau hyperphosphorylation and aggregation into NFTs. Therapeutic strategies targeting ferroptosis—such as iron chelation with deferoxamine to reduce labile iron levels and inhibit Fenton reaction-driven oxidative damage, supplementation with antioxidants such as α-tocopherol or α-lipoic acid to neutralize ROS and scavenge lipid radicals, and administration of selenium or activators of the Nrf2-SLC7A11-GPX4 axis and the SIRT1/Nrf2 signaling pathway to restore glutathione-GPX4 function—can effectively block lipid peroxidation and suppress iron-dependent cell death. By modulating iron metabolism, enhancing antioxidant defenses, and inhibiting lipid peroxidation, these approaches hold promise for mitigating ferroptosis-related neuronal injury. These interventions collectively aim to modulate iron metabolism, strengthen antioxidant defenses, and suppress lipid peroxidation, thereby mitigating neuronal injury and delaying cognitive deterioration. Ferroptosis represents a pivotal intersection of iron metabolism, oxidative stress, and neurodegeneration in AD. Exploring ferroptotic mechanisms not only deepens our understanding of AD pathophysiology but also opens new avenues for therapeutic intervention. This review aims to comprehensively summarize the molecular basis of ferroptosis, elucidate its pathological roles in AD, and propose ferroptosis-centered therapeutic strategies, thereby providing a theoretical framework for future research and drug development in AD.]]> 2025/10/16 11:20:57 Akkermansia abundance and the Firmicutes/Bacteroidetes (F/B) ratio, but reduced Bifidobacterium abundance, indicating a bidirectional regulatory effect on gut microbial structure. MD significantly increased the Shannon index as well as the abundance of Akkermansia, Bifidobacterium, and Bacteroidetes, while decreasing Firmicutes abundance and the F/B ratio, suggesting a balanced and sustained improvement in gut microbial composition. In contrast, IF significantly decreased the PD index while increasing Akkermansia and reducing Firmicutes, reflecting partial structural optimization but limited enhancement of phylogenetic diversity; long-term interventions were associated with a decline in Shannon diversity, indicating limited stability. Subgroup analyses revealed distinct moderator effects. Under VLCKD, improvements in microbial diversity were more pronounced among individuals with BMI≤30 kg/m² and those aged >30 years, and meta-regression confirmed that the magnitude of diversity gains increased with age. Regarding BMI, increases in Akkermansia abundance were most evident in individuals with BMI 30-35 kg/m², whereas Bifidobacterium abundance significantly decreased in the same range, suggesting a threshold-dependent microbial response to adiposity. With respect to age, both Akkermansia (increase) and Bifidobacterium (decrease) exhibited significant changes in individuals aged >40 years. In terms of intervention duration, Akkermansia increased significantly within 6 weeks, while Bifidobacterium decreased within 12 weeks. For MD, increases in Shannon diversity were consistently observed across all BMI, age, and duration subgroups; notably, Akkermansia abundance increased significantly among participants with BMI>30 kg/m², aged 30-50 years, and during interventions ≤6 months, while Bifidobacterium abundance rose markedly in participants with BMI≤30 kg/m², aged 40-50 years, and during interventions of 6-12 months. Under IF, Shannon diversity increased significantly in individuals with BMI≤30 kg/m² and aged >40 years but declined when the intervention exceeded 4 weeks, suggesting reduced long-term stability. In conclusion, VLCKD, MD, and IF all modulate gut microbiota in obesity but differ in magnitude, direction, and durability. VLCKD exerts strong yet dual effects—enhancing diversity while reducing beneficial taxa; MD shows stable, sustained modulation; whereas IF offers selective improvements but lowers phylogenetic diversity with limited persistence. Future studies should conduct large, multicenter randomized controlled trials to determine optimal intervention duration, confirm the moderating roles of age and BMI, and develop personalized microbiota-based dietary strategies for obesity management and gut health improvement.]]> 2025/10/14 9:30:39 e.g., IL-6, TNF-α), while simultaneously activating protein degradation systems including the ubiquitin-proteasome system (UPS) and autophagy-lysosomal pathway (ALP), ultimately leading to accelerated protein breakdown and muscle atrophy. These circulating inflammatory factors can also compromise blood-brain barrier integrity, activate microglia, trigger neuroinflammation, and consequently damage synaptic structures and neuronal function, thereby accelerating cognitive decline in this comorbidity. Mitochondrial dysfunction presents as impaired oxidative phosphorylation efficiency, excessive reactive oxygen species (ROS) production, and dysregulated mitochondrial quality control. This not only results in inadequate cellular energy supply but also enables mitochondrial-derived factors (e.g., extracellular mtDNA) to activate innate immune pathways such as cGAS-STING, propagating stress signals and amplifying tissue damage in both muscle and brain. Additionally, gut microbiota dysbiosis impairs intestinal barrier function, increases lipopolysaccharide (LPS) translocation into circulation, and reduces short-chain fatty acid (SCFA) production. These changes induce systemic inflammation and metabolic disturbances that further impact muscle metabolism and promote pathological protein accumulation in the brain, thereby establishing a gut-brain-muscle axis that exacerbates the progression of this comorbidity. Exerkines represent a class of biologically active signaling molecules—including cytokines, peptides, metabolites, and exosomes—secreted by various tissues in response to exercise. These exerkines mediate systemic adaptations and protective effects through endocrine and paracrine actions on target organs. Key exerkines such as IL-6, irisin, brain-derived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1), fibroblast growth factor-21 (FGF-21), lactate, and cathepsin B (CTSB) play central roles in coordinately ameliorating the comorbidity of sarcopenia and cognitive impairment. The beneficial effects of these exerkines are mediated through multiple mechanisms including inflammation modulation, energy metabolism remodeling, neuroprotection, and enhanced neuroplasticity. As a non-pharmacological intervention, exercise effectively stimulates the production and release of exerkines, thereby targeting the comorbidity through multiple pathways. Aerobic exercise elevates lactate levels and activates the Sirt1/PGC-1α pathway, improving cerebral metabolism and cognitive function. Resistance training significantly upregulates IGF-1, irisin, and CTSB expression, enhancing muscle anabolism and hippocampal function. Other modalities like high-intensity interval training (HIIT) and traditional practices also help modulate inflammatory status and optimize the neurotrophic environment through the action of various exerkines. Different exercise types work synergistically by engaging distinct signaling pathways and exerkine combinations, collectively alleviating chronic inflammation, correcting mitochondrial dysfunction, and optimizing gut microecology to achieve concurrent musculoskeletal and cognitive protection against this comorbidity. Synthesizing current evidence, this review emphasizes the necessity of transcending a single-organ perspective by recognizing muscle and brain as an integrated functional unit, with exerkines playing a pivotal role in the muscle-brain axis. The field nevertheless faces several challenges: the secretion dynamics of exerkines during aging remain unclear, mechanisms underlying individual differences in exercise response require elucidation, and the compensatory and imbalance characteristics of exercise-induced exerkine networks across disease stages need further characterization. Future research should employ large-sample cohorts and randomized controlled trials integrated with multi-omics technologies to establish personalized exercise interventions based on exerkine profiling for managing this comorbidity. Parallel efforts should focus on developing quantifiable efficacy assessment systems to provide robust theoretical foundation and practical guidance for precise management of the comorbidity of sarcopenia and cognitive impairment and the promotion of healthy aging.]]> 2025/10/13 15:58:06 Objective To address the challenge of identifying unknown animal-derived components in the fields of forensic evidence and food safety, we developed and validated a sensitive and efficient multiplex polymerase chain reaction-capillary electrophoresis (PCR-CE) detection system capable of simultaneously identifying DNA from 13 species—cattle (Bos taurus), mouse (Mus musculus), dog (Canis lupus familiaris), rat (Rattus norvegicus), pig (Sus scrofa), Chinese hamster (Cricetulus griseus), cat (Felis catus), horse (Equus caballus), human (Homo sapiens), chicken (Gallus gallus), duck (Anas platyrhynchos), donkey (Equus asinus), and sheep (Ovis aries)—within a single-tube reaction.Methods Species-specific primers were meticulously designed targeting hypervariable regions of the mitochondrial DNA (including Cytb, COI, 16S rRNA, and ND2 genes), with primer specificity rigorously verified in silico using BLAST analysis against non-target species. A multiplex PCR system was constructed, and critical reaction parameters, including primer concentrations and annealing temperature, were systematically optimized through gradient experiments to ensure balanced amplification of all 13 targets without non-specific products or primer-dimer formation. Amplification products were subsequently separated and detected based on their characteristic fragment lengths and distinct fluorescent labels (6-FAM, HEX) using a capillary electrophoresis platform. The established multiplex PCR-CE system was comprehensively evaluated across several parameters: specificity was tested against 17 species (13 target species and 4 non-target species); sensitivity was determined using serial dilutions of mixed DNA templates; the ability to detect adulteration was assessed using simulated mixed meat samples with known adulteration percentages (10% to 0.1%); and practical applicability was investigated by analyzing 27 commercially available meat products and authentic casework samples from a fatal dog attack incident.Results The optimized multiplex PCR-CE system successfully demonstrated specific and simultaneous amplification for all 13 target species, with zero cross-reactivity observed with 4 non-target species. The system exhibited high sensitivity, with detection limits ranging from 0.05 ng to 0.001 ng of DNA template depending on the species; ten species were detectable at the 0.001 ng level. In simulated adulteration studies, the system reliably detected duck DNA in sheep meat at 0.5%, pork in beef at 0.5%, and horse meat in donkey meat at a remarkably low level of 0.1%. Analysis of commercial meat products revealed an 18.52% (5/27) mislabeling rate. These findings were consistent with validation tests using national and industry standard methods. Furthermore, the system effectively identified human and dog DNA from real forensic case evidence (clothing fragments from bite marks), and even detected trace pig DNA, suggesting the dog’s prior pork consumption.Conclusion This study successfully established a highly specific, sensitive, and practical multiplex PCR-CE system for the simultaneous identification of 13 species. By combining the power of multiplex PCR with capillary electrophoresis, our approach delivers a significant advantage in terms of throughput, resolution, and automation over traditional gel-based methods. The system’s proven effectiveness in detecting low-level adulteration in complex mixtures and processed food products, along with its successful application to genuine forensic specimens, underscores its substantial value and broad potential for routine use in forensic laboratories for evidence analysis and in regulatory settings for ensuring food authenticity and safety monitoring.]]> 2025/10/9 14:54:49 via shared understanding and shared intentionality. Together, these processes support the construction of group-level shared cognition. Finally, this article summarized the current challenges in research on the driving mechanisms of BBC and provided an outlook for future development. First, it is necessary to theoretically establish a hierarchical model of brain-brain coupling based on a hierarchy of cognitive complexity, systematically distinguishing between the characteristics of BBC driven by low-level processes and higher-level interpersonal shared cognitive mechanisms. Second, at the methodological and technical level, future development of multimodal hyperscanning systems such as EEG-fNIRS and closed-loop hyper-transcranial alternating current stimulation could comprehensively analyze the dynamic evolution of BBC related to shared cognition in the temporal, spatial, and frequency domains. In summary, this article constructed a theoretical framework for the driving mechanisms of BBC across social contexts, hoping to provide a methodological basis for controlling the driving factors of naturalistic paradigms in social neuroscience research.]]> 2025/9/29 15:57:39 GBA1, PRKN, PINK1, and SNCA dictate distinct molecular pathologies—including lysosomal dysfunction, impaired mitophagy, and α-synuclein aggregation—which necessitate tailored exercise regimens. For instance, patients with PRKN/PINK1 mutations may benefit from moderate-intensity endurance training to support mitochondrial biogenesis without exacerbating oxidative stress, whereas carriers of GBA1 mutations might require exercises focusing on enhancing lysosomal function and managing oxidative damage. Clinically, patients are stratified into tremor-dominant (TD) and postural instability/gait difficulty (PIGD) subtypes, which demand divergent exercise priorities: coordinative, rhythm-based activities like dance or Tai Chi for TD-PD to engage cerebellar circuits, versus targeted balance and strength training, potentially aided by virtual reality, for PIGD-PD to mitigate axial symptoms and fall risk. Furthermore, intervention strategies must evolve with disease progression: high-intensity exercise is prioritized in early stages to leverage neuroplasticity and potential disease modification, while mid- and late-stage management focuses on functional maintenance, fall prevention, and compensatory strategies, respectively. Critical to implementing this framework is the adoption of digital biomarkers via wearable technology (e.g., inertial sensors, smartwatches), which enables continuous, objective monitoring of gait, tremor, and physiological responses. This facilitates a closed-loop feedback system, allowing for the remote adjustment of exercise parameters (intensity, frequency, duration) in real-time, thus optimizing efficacy and ensuring safety. Finally, we detail how to configure exercise parameters through personalized adaptation (What), including exercise type, intensity, frequency and dose. Higher volumes of physical activity are associated with reduced PD risk and slower progression, though optimal thresholds remain incompletely defined. Aerobic exercise improves cardiovascular fitness and may aid clearance of pathogenic proteins; resistance training counters sarcopenia and bradykinesia; balance training reduces falls; and mind-body exercises (e.g., Tai Chi) integrate motor and cognitive components. Multimodal regimens are often most beneficial. High-intensity aerobic exercise appears particularly effective in early PD, enhancing neural connectivity and mitigating disease progression in randomized trials. Most evidence supports supervised sessions occurring 3-5 times per week, lasting 30-60 min, adapted to individual tolerance and disease stage. In conclusion, this narrative review outlines a comprehensive precision medicine framework for exercise intervention in PD, moving beyond symptomatic management towards targeting underlying pathophysiology. By stratifying patients based on genetic, phenotypic, and staging characteristics, and by leveraging digital technology for dynamic personalization, exercise therapy can be transformed into a more potent, individualized, and disease-modifying strategy. Future research must validate these biomarker-driven approaches in large-scale trials and establish definitive guidelines for translating precision exercise into clinical practice.]]> 2025/9/26 10:42:35 e.g., cell membranes, metabolites, or biomacromolecules) through methods such as biomineralization, electrostatic assembly, surface modification, and genetic engineering. This enables programmable design from the nanoscale to the macroscale, demonstrating broad application prospects and attracting extensive research interest. First, microbial-nanomaterial hybrid systems are classified based on the types of nanomaterials (organic, inorganic, organic-inorganic) and microorganisms (bacteria, fungi, viruses, algae, probiotics). Both types of systems leverage the unique catalytic selectivity of microorganisms and the diverse physicochemical properties of nanomaterials to achieve multidimensional synergy. Their synergistic mechanisms involve both the biochemical processes of microorganisms and the surface/interface reactions of nanomaterials, representing a multidisciplinary achievement spanning microbial interface engineering, biomimetic catalysis, controllable nanomaterial fabrication, and interfacial transport and reaction processes. Next, the application progress in biomedical fields (such as anti-infection, intestinal diseases, and cancer therapy) and energy conversion (e.g., light-driven hybrid systems for proton reduction to hydrogen, CO₂ reduction and conversion, and nitrogen fixation) is elaborated in detail, highlighting their significant advantages in functional integration and synergistic performance. Microorganism-nanomaterial hybrid systems combine the specific recognition and precise metabolic capabilities of microorganisms with the catalytic, drug-delivery, and optoelectronic functions of nanomaterials, enabling the construction of various multifunctional synergistic platforms for catalysis, diagnosis, and therapy. These advances have greatly promoted development in nanomedicine, energy, and environmental applications. In medical contexts, such systems utilize the natural chemotaxis of microorganisms for precise targeting, achieve controlled drug release through environmentally responsive delivery and metabolic regulation, and enhance therapeutic efficacy via combined chemical-biological treatments and immune modulation. Improved biosafety can be achieved through attenuated microbial designs and nanomaterial coatings, offering diverse strategies for the precise treatment of various diseases. In the energy sector, the excellent light-harvesting properties of semiconductor materials and the precise catalytic capabilities of biological systems have been integrated to successfully construct light-driven biocatalytic systems, significantly improving light utilization efficiency. Finally, this review discusses the key challenges facing the practical application of these systems. Nanomaterials may exert toxic effects on microorganisms, impairing their activity and raising environmental safety concerns. The potential release of engineered nanomaterials into ecosystems necessitates careful risk assessment and long-term monitoring. In real-world environments, microbial functions are easily compromised, nanostructures are prone to damage, and reactive oxygen species (ROS) tend to accumulate, resulting in insufficient system stability. Stringent culture conditions, costly raw materials, and significant batch-to-batch variability hinder large-scale production and commercialization. The synergistic mechanisms between microorganisms and nanomaterials are not yet fully understood, particularly regarding molecular-level interactions and long-term compatibility. In medical applications, off-target risks persist due to unpredictable microbial colonization and immune responses, while environmental applications lack sufficient selective recognition capabilities, indicating a need for improved targeting and specificity. Furthermore, interdisciplinary barriers between biology, materials science, and engineering complicate collaborative innovation, and the absence of well-established standards for evaluation, regulation, and scalability also constrains further development. Future efforts should focus on enhancing biocompatibility, optimizing fabrication processes, and establishing comprehensive safety and performance standards to accelerate the transition of these promising systems from laboratory research to real-world applications.]]> 2025/9/25 16:28:20 e.g., FASTAptamer, AptaCLUSTER) to identify enriched sequences, and motif discovery algorithms (such as AptaTRACE and MPBind) that uncover conserved sequence-structure patterns associated with binding functionality. These approaches allow researchers to move beyond manual curation and extract meaningful candidates from complex selection rounds. Accurate prediction of secondary and tertiary structures is essential for understanding aptamer function and interaction mechanisms. Conventional tools, including RNAfold and Mfold, employ thermodynamics-based models to predict RNA folding, yet often struggle with pseudoknots and non-canonical pairs. Recent advances in deep learning—exemplified by SPOT-RNA, E2Efold, and UFold—have significantly improved prediction accuracy by leveraging neural networks trained on large structural datasets. For tertiary structure, methods range from fragment assembly (Rosetta FARFAR2) and homology modeling (RNAComposer) to deep learning-aided approaches such as AlphaFold-RNA and RoseTTAFoldNA. While these tools offer new insights, predicting structures for short, flexible aptamers remains non-trivial. Predicting aptamer-target interactions draws on both physics-based and data-driven approaches. Molecular docking programs—AutoDock Vina, ZDOCK, and MDockPP—provide initial binding poses, which can be refined using molecular dynamics simulations (with GROMACS, AMBER, or NAMD) and free energy perturbation techniques to estimate binding affinity. Complementarily, machine learning models are increasingly employed to predict interactions from sequence and structural features. Early efforts used hand-engineered features with classifiers like SVM and random forest, while contemporary deep learning models (AptaNet, AptaBERT, PAIR) utilize pre-trained language models to capture intricate sequence-binding relationships with superior generalization. Perhaps the most transformative development is the use of generative AI for de novo aptamer design. Conditional variational autoencoders (e.g., RaptGen), generative adversarial networks (e.g., AptaDesigner), and diffusion models (e.g., AptaDiff) can generate novel aptamer sequences conditioned on target properties or desired binding affinities. Reinforcement learning and evolutionary algorithms, including Monte Carlo tree search (Apta-MCTS) and NSGA-II, support multi-objective optimization toward high specificity, stability, and low immunogenicity. These approaches mark a paradigm shift from selective discovery to intentional design, greatly expanding the functional sequence space. Aptamers designed using these computational strategies are increasingly used across biomedical and environmental applications, including targeted therapeutics, diagnostic biosensors, and food-safety monitoring. Nonetheless, key challenges persist: data scarcity and heterogeneity, model interpretability, and experimental validation bottlenecks. Future progress will depend on standardized data sharing, improved explainable AI, and the integration of computational design with high-throughput experimental screening—ultimately enabling robust, clinically viable aptamer technologies.]]> 2025/9/25 16:23:48 via activation of pathways such as PPARα, ameliorates insulin resistance, and thus optimizes the metabolic environment of cardiomyocytes. In the context of cellular stress regulation, irisin exhibits potent antioxidant properties. It not only directly counteracts the accumulation of reactive oxygen species (ROS) to alleviate oxidative damage but also inhibits ferroptosis by upregulating the MITOL/MARCH5 signaling axis, thereby helping to maintain mitochondrial homeostasis. Regarding endoplasmic reticulum stress (ERS), irisin downregulates key proteins including GRP78 and PERK, thus mitigating ERS-induced cardiomyocyte apoptosis and fibrosis—a protective mechanism that has also been validated in other diseases such as pancreatitis and osteoporosis. In maintaining the balance between autophagy and cell death, irisin sustains cellular homeostasis by coordinating both mitochondrial-targeted autophagy and non-selective autophagy. It promotes FUNDC1-mediated mitophagy to support mitochondrial turnover and ensure proper organelle function. At the same time, it suppresses excessive autophagy-induced cell damage through pathways such as PI3K/AKT/mTOR. In terms of apoptosis regulation, irisin downregulates pro-inflammatory factors (e.g., TNF-α, IL-6) and apoptosis-related proteins such as Caspase-3, while upregulating the anti-apoptotic protein Bcl-2. It inhibits cardiomyocyte apoptosis through multiple signaling pathways, including AMPK/mTOR and miR-19b/PTEN. In summary, irisin plays a crucial protective role in improving metabolic disorders, reducing cellular stress damage, and regulating cell death in diabetic cardiomyopathy (DCM) through multi-target and multi-pathway synergistic mechanisms. Its diverse actions provide an important theoretical basis and potential therapeutic targets for the clinical prevention and treatment of DCM. However, further research is needed to clarify its systemic effects, the safety of clinical interventions, and optimal treatment strategies to fully realize its therapeutic potential.]]> 2025/9/23 11:17:28 2025/9/22 18:01:33 Objective This study aims to develop a microwave-induced thermoacoustic and ultrasound dual-modality microscopy system that integrates the advantages of both imaging techniques to investigate the dielectric properties of biological tissues at a microscopic level.Methods This paper first discusses a method to enhance system resolution by combining short-pulse microwave excitation with high-frequency point-focused ultrasonic transducer detection. A three-dimensional microwave-induced thermoacoustic microscopic imaging system was constructed based on this approach and further developed into a dual-modality system capable of both thermoacoustic and ultrasonic imaging. The image reconstruction and dual-modality image fusion strategies are also described. Subsequently, experiments were conducted in the following sequence: imaging of copper wires to evaluate the system’s spatial resolution along the X/Y/Z axes; imaging of tubes containing 3% and 6% saline solutions and tubes filled with coupling agent/vegetable oil to demonstrate the complementary information provided by the two modalities; imaging of brain tissue and bone-cartilage samples to assess the applicability of the technology; and osteoporosis detection to validate the disease diagnostic capability of the dual-modality system. The microwave-induced thermoacoustic and ultrasound microscopic images of these samples were verified against corresponding photographs or micro-CT images.Results The thermoacoustic and ultrasonic images of the copper wire closely matched the physical photograph. The three-dimensional resolutions of the microwave-induced thermoacoustic and ultrasound imaging systems, as estimated from the copper wire experiment, were 178×178×88 μm³ and 177×177×42 μm³, respectively. These measured values align well with theoretical predictions. The dual-modality imaging system successfully combines dielectric property differences captured by thermoacoustic imaging and acoustic impedance variations captured by ultrasound imaging, thereby providing both functional and structural information of the samples. Specifically, the system distinguished between tubes containing saline solutions of different concentrations and those containing vegetable oil, demonstrating strong spatial consistency with physical photographs. The thermoacoustic image contrast among saline solutions corresponded to theoretical dielectric properties, while the ultrasonic contrast between saline and oil reflected their difference in acoustic impedance. The system identified multiple brain tissue structures, including the cortex, hippocampus, superior colliculus, corpus callosum, cingulate cortex, and striatum. The bimodal imaging approach exhibited superior performance, visualizing tissue structures with greater clarity and detail than either modality alone. The brain tissue images were consistent with physical photographs, tissue dielectric properties, and publicly available anatomical atlases. The bimodal system clearly delineated cartilage and epiphyseal lines via thermoacoustic imaging, while ultrasonic imaging revealed bone structures. Thermoacoustic imaging alone differentiated bone sections between normal and osteoporotic groups; however, incorporating prior skeletal contour information from ultrasound significantly enhanced discriminatory power, resulting in intergroup differences with higher statistical significance. The imaging results of bone samples corresponded well with physical photographs, micro-CT images, and theoretical analyses of dielectric properties for cartilage, normal bone, and osteoporotic bone.Conclusion The microwave-induced thermoacoustic and ultrasound dual-modality microscopy system developed in this study demonstrates potential for microscopic detection of complex biological tissues based on dielectric properties. It is expected to provide a new imaging tool for functional assessment of brain tissue and the skeletal system, as well as for studies on disease pathogenesis.]]> 2025/9/22 17:53:26 Objective This study aimed to comprehensively investigate the potential protective effects and underlying mechanisms of taurine against dihydrotestosterone (DHT)-induced androgenetic alopecia (AGA) in male C57BL/6 mice, with a focus on hair follicle cycle modulation, cellular proliferation/apoptosis, and key related signaling pathways.Methods Six-week-old female C57BL/6 mice were initially used to assess the hair growth-promoting potential of taurine. After acclimatization, they were randomly assigned to three groups (n=8): control (regular drinking water), taurine (drinking water containing 1% taurine), and minoxidil (topical 2% minoxidil, positive control). For the AGA study, male C57BL/6 mice were randomly divided into five groups (n=8): control (physiological saline), DHT (model group, 1 mg/d DHT), DHT+low-dose taurine (1 mg/d DHT+2 mg/d taurine), DHT+high-dose taurine (1 mg/d DHT+10 mg/d taurine), and DHT+minoxidil (positive control, 1 mg/d DHT+topical 2% minoxidil). One day before treatment initiation, dorsal hair was shaved with scissors, and residual hair was removed using a depilatory cream. DHT and taurine were administered via daily intraperitoneal injection. Hair regrowth was assessed by photographing the depilated area at regular intervals and quantified using a four-point grading system (0-3). Dorsal skin samples were collected on day 14 for histological analysis (H&E staining), immunofluorescence staining (Ki67 for proliferation, TUNEL for apoptosis), ELISA (DHT quantification), RT-qPCR, and Western blot analysis to evaluate the expression of key genes and proteins (androgen receptor (AR), transforming growth factor (TGF)-β1, TGF-β2, Dickkopf-1 (DKK1)).Results In female mice, taurine supplementation significantly accelerated hair growth, with effects comparable to minoxidil. This was evidenced by an earlier transition from pink (telogen) to black (anagen) skin and increased hair growth scores. Histological analysis showed that taurine increased hair follicle count and dermal thickness. Immunofluorescence confirmed enhanced keratinocyte proliferation in the hair matrix. In the DHT-induced AGA model, DHT significantly extended the telogen phase, inhibited hair growth, increased skin DHT content, and induced hair follicle miniaturization. Taurine treatment, particularly at the high dose, effectively counteracted these effects: it promoted the telogen-to-anagen transition and improved hair growth scores. Histomorphometric analysis showed that taurine significantly restored DHT-induced reductions in dermal thickness, hair follicle count, hair bulb depth, and follicle size. Taurine treatment also reduced apoptosis and promoted the proliferation of hair follicle cells, as demonstrated by Ki67 and TUNEL assays. Crucially, RT-qPCR and Western blot analyses revealed that DHT significantly up-regulated the expression of AR, TGF-β1, TGF-β2, and DKK1 at both mRNA and protein levels in dorsal skin. Taurine administration markedly down-regulated the expression of these pathogenic factors, bringing them closer to the levels observed in the control group.Conclusion Taurine demonstrates significant efficacy in alleviating DHT-induced AGA in male C57BL/6 mice. Its protective effects are mediated through multi-faceted mechanisms. (1) Promoting hair follicle cycle progression: it accelerates the transition from telogen to anagen, counteracting DHT-induced prolongation of the telogen phase. (2) Modulating cellular dynamics: it stimulates the proliferation of hair matrix keratinocytes and reduces DHT-induced apoptosis within hair follicle cells. (3) Suppressing androgen-driven pathogenic pathways: it downregulates the expression of critical molecules in the AGA pathway, including AR, the cytokines TGF-β1 and TGF-β2, and the Wnt pathway inhibitor DKK1. Given its favorable safety profile and multi-targeted action, taurine emerges as a promising novel therapeutic candidate or adjunct for treating AGA. Further investigation into its clinical potential and precise molecular mechanisms is warranted. This study provides a robust preclinical foundation for considering taurine supplementation or topical application in hair loss management strategies.]]> 2025/9/22 8:44:34 Pisum sativum). However, the molecular bases underlying these traits have only come into sharp focus in recent years. Leveraging advances in traditional map-based cloning, TILLING, long-read resequencing, population genetics, and GWAS, this article synthesizes current knowledge of ten genes governing seven traits—plant height, seed shape, flower color, seed color, pod color, pod morphology, and flower position—by summarizing each gene’s identity, chromosomal localization, and functional pathway. For plant height, the classical Le locus corresponds to PsGA3ox1, which encodes a gibberellin 3β-hydroxylase. Mutations at Le impede the biosynthesis of the bioactive hormone GA₁, and the resulting deficiency leads to a dwarf or reduced-stature phenotype. Seed shape is determined by R, identified as PsSBEI (starch-branching enzyme I). Insertion of a transposable element into R restricts amylopectin synthesis, perturbing endosperm starch architecture and resulting in the wrinkled seeds noted by Mendel. Flower color is specified by the coordinated action of A (a bHLH transcription factor) and A2 (a WD40 scaffold). Together, they assemble the canonical MYB-bHLH-WD40 (MBW) regulatory complex, which co-activates structural genes in the anthocyanin pathway to determine pigment accumulation and floral hue. Seed color is governed by I, which encodes PsSGR (STAY-GREEN), a magnesium dechelatase that catalyzes a key step in chlorophyll catabolism. Loss-of-function alleles at I block chlorophyll degradation, yielding “stay-green” seeds in which chlorophyll persists beyond normal developmental stages. Pod coloration maps to Gp, corresponding to ChlG (chlorophyll synthase). Either direct loss of ChlG function or readthrough-fusion transcriptional interference caused by a large upstream deletion suppresses chlorophyll biosynthesis in developing pods, resulting in the yellow-pod phenotype. Pod morphology depends on two convergent regulatory pathways. The P gene, PsCLE41, signals through the P-PXY-WOX/NAC axis to promote vascular differentiation and secondary-wall programs, while V encodes PsMYB26, a transcription factor that drives secondary wall thickening in fiber cells. Acting in concert, these modules ensure robust secondary-wall deposition in the fiber layer lining the inner pod wall; disruption of either component compromises wall thickening and leads to pleated or wrinkled pods. Flower position (inflorescence determinacy at the shoot apex) is controlled by FA, identified as PsCIK, which participates in the CLAVATA-WUSCHEL (CLV-WUS) feedback circuit that maintains shoot apical meristem homeostasis. Mutations in FA destabilize this self-regulatory loop and promote terminal flowers at the apex. The expressivity of this determinacy phenotype is further modulated by a recessive modifier, Mfa, which fine-tunes the outcome in the fa background. Across these loci, convergent evidence highlights the central role of structural variation in generating the classical Mendelian phenotypes. Building on this clarified molecular landscape, we outline practical implications for quality improvement and the deliberate “design” of traits. Looking ahead, we envisage a next generation of legume genetic improvement anchored on three mutually reinforcing pillars: high-quality reference genomes to deliver contiguous, structurally faithful assemblies; comprehensive pan-genomes to capture presence/absence variation and structural polymorphism across germplasm; and precise gene editing to target coding, regulatory, and structural features alike. Together, these tools chart a path toward mechanism-based breeding, enabling purposeful, design-driven trait improvement in peas and, by extension, other legumes.]]> 2025/9/19 11:41:30 2025/9/19 10:14:32 1 150 mitochondrial proteins are encoded by nuclear genes (nDNA), and the two genomes cooperate to preserve cellular homeostasis and proper function. Mitochondrial proteins are localized to the outer mitochondrial membrane (OMM), intermembrane space (IMS), inner mitochondrial membrane (IMM) or matrix, participating in oxidative phosphorylation (OXPHOS), the tricarboxylic acid (TCA) cycle, fission-fusion dynamics, and other processes indispensable for mitochondrial integrity. Mitochondrial quality control (MQC) is exerted largely by mitochondrial proteases, which selectively modulate protein activity and degrade misfolded or superfluous proteins. Among them, a group of mitochondrial ATPases associated with diverse cellular activities (AAA+ proteases) couple ATP binding and hydrolysis to protein unfolding and proteolysis, thereby regulating fusion protein maturation, respiratory-chain assembly, and mtDNA replication/transcription. Mutations or aberrant expression of these mitochondrial AAA+ proteases cripple mitochondrial architecture and function, precipitating a spectrum of severe neurological disorders. This review summarizes current knowledge on three paradigmatic mitochondrial AAA+ proteases, LONP1, YME1L1, and AFG3L2. We highlight their conserved Walker A/B motifs in the ATPase domain and hexameric architecture, yet emphasize divergent sub-mitochondrial topologies: LONP1 is soluble in the matrix, whereas YME1L1 and AFG3L2 are embedded in the IMM with catalytic domains facing IMS and matrix, respectively. These positional differences translate into distinct substrates and proteolytic strategies, enabling a division of labor and mutual complementation that cooperatively safeguards mitochondrial proteostasis. Pathogenic mutations linked to neurological disorders are mapped predominantly to the ATPase and the hydrolase/peptidase domains. Substitutions of the amino acid within these core domains can directly abolish ATP hydrolysis, substrate engagement or peptide cleavage, thereby crippling local MQC networks. Additional variants may disturb transcriptional, translational or post-translational regulation, altering protease stoichiometry and impairing compartmental balance. The subsequent cascade, mtDNA instability, respiratory-chain dysfunction, and aberrant mitochondrial dynamics, propagates stress signals that culminate in neuronal dysfunction and/or neurodegeneration. The mutational and clinical heterogeneity observed across cell types, developmental stages, and genetic backgrounds underscores the context-dependent fine-tuning of these AAA+ proteases. Deciphering how disease-associated variants rewire domain structure, catalytic cycle, and network-level crosstalk will therefore illuminate pathophysiologic mechanisms and guide precision therapeutic strategies.]]> 2025/9/16 14:22:48 Objective Early detection of crop diseases is crucial for effective agricultural management and yield protection. While visible light imaging has been widely applied for disease detection due to its accessibility and non-destructive nature, most existing methods primarily focus on identifying diseases during the symptomatic phase, when visual symptoms are already prominent. However, detecting plant diseases during the incubation period—when symptoms are still subtle or invisible—remains a major challenge due to the lack of distinctive visual cues and limited research methodologies. This study aims to address this gap by proposing a novel three-channel recognition model to accurately identify early blight symptoms during the incubation stage in Solanaceae crops, particularly in chili and tomato, using only visible light images.Methods We established a controlled experimental setup in which healthy leaves and leaves inoculated with early blight pathogens were photographed continuously over time. A total of 1 258 visible light images were collected, capturing various stages of disease progression. From these images, lesion regions were manually annotated. To quantitatively characterize early and subtle color changes within the lesion areas, we extracted color moments—first-order (mean), second-order (standard deviation), and third-order (skewness)—from multiple color spaces, including Lab and HSV. By analyzing the temporal variation of these color moments across disease progression stages, we identified the first-order moment of the saturation (S) channel in the HSV color space as the most sensitive indicator of lesion development on inoculated leaves. Using this insight, we defined four disease categories: healthy, incubation stage, early stage, and late stage. Subsequently, a three-channel classification model was constructed by integrating features from three color channels that provided complementary information. Three-channel models were constructed based on R-G-B, L-a-b, and H-S-V color spaces, respectively, to evaluate performance across different crops and to determine which color representation provides the most discriminative power for identifying disease symptoms during the incubation period.Results The proposed models demonstrated strong classification performance. The three-channel model built using the Lab color space achieved a 94.44% accuracy in recognizing the incubation stage of early blight in pepper, effectively distinguishing subtle pre-symptomatic features from healthy tissue. The model based on the HSV color space achieved 100% accuracy in detecting incubation-stage symptoms in tomato, underscoring the discriminative power of S-channel variations in this context. These results confirm the model’s capability to identify early blight before visible lesions become pronounced, which is essential for timely disease intervention.Conclusion This study presents a new technical pathway for early-stage disease detection using visible light images by focusing on subtle color feature changes during the incubation period. The proposed three-channel recognition model effectively identifies early blight in both chili and tomato, offering a non-destructive, low-cost, and easily deployable solution for early warning and precision agriculture. Furthermore, this framework can be generalized to other crops and diseases where early detection plays a critical role in minimizing yield losses and ensuring sustainable production. The method lays a solid foundation for future research in pre-symptomatic plant disease recognition and provides valuable tools for intelligent crop monitoring and precision management systems.]]> 2025/9/10 16:23:27 etc. With the intensifying trends of global population growth and aging, the incidence of NDs continues to rise, yet no curative treatments are currently available. The blood-brain barrier (BBB) plays a crucial role in maintaining central nervous system (CNS) homeostasis by blocking harmful substances in the bloodstream from entering brain tissue. More than 98% of small-molecule drugs and nearly 100% of large-molecule therapeutics fail to cross the BBB and reach brain parenchyma. Ultrasound-targeted microbubble destruction (UTMD) is an emerging interdisciplinary technology integrating materials science and bioengineering, which combines the advantages of microbubble carriers with the physical properties of ultrasound. This innovative approach enables transient and reversible opening of the BBB, and enhancing drug delivery efficiency. Microbubbles (MB) are the core component of the UTMD system, consisting of two fundamental structural elements: a gaseous core and a biocompatible outer shell. The drug-loading capacity of MB has been significantly expanded, evolving from traditional chemotherapeutic agents to encompass nucleic acid drugs, macromolecular antibodies, and even traditional Chinese medicines. Concurrently, their drug-loading strategies have advanced from initial passive physical adsorption to active targeted delivery. UTMD possesses the following 4 biological advantages. (1) UTMD can transiently and reversibly enhance the permeability of cell membranes and blood vessels. The biocompatible shells commonly used in microbubbles can be metabolized by the body, posing no risk of long-term accumulation. (2) UTMD not only significantly improves drug delivery efficiency but also simultaneously serves as an ultrasound contrast agent and therapeutic carrier, achieving the integration of diagnosis and treatment. (3) UTMD technology offers dual advantages of spatial targeting and molecular targeting, allowing for precise drug delivery. (4) UTMD only requires conventional ultrasound equipment, and the raw materials for microbubble preparation are readily available with simple synthesis processes. Whether applied in diagnostics or treatment, the cost remains relatively low. The mechanism by which UTMD opens the BBB is primarily associated with cavitation effect and sonoporation effect. The cavitation effect induces mechanical stretching of both cellular membranes and capillary walls, creating transient, reversible channels that facilitate macromolecular drug passage, to enhance BBB permeability. Meanwhile, the sonoporation effect promotes drug penetration through dual mechanisms: (1) augmenting passive diffusion across biological barriers; (2) potentiating active transport processes. This synergistic action significantly elevates both local drug concentrations and therapeutic efficacy at target sites. The permeability of BBB is predominantly influenced by both microbubble characteristics and ultrasound parameters. Microbubble characteristics and ultrasound parameters are key factors affecting BBB permeability. By adjusting the composition of microbubbles and optimizing ultrasound parameters, effective BBB opening can be achieved while minimizing tissue damage, to regulate the dosage of drugs delivered to the brain parenchyma. Both preclinical investigations and clinical trials have consistently shown that UTMD holds significant therapeutic promise for NDs. This article outlines the fundamental properties of microbubbles and elucidates the potential mechanisms underlying UTMD mediated BBB opening. Furthermore, it systematically reviews recent advances in UTMD technology for the treatment of treating various NDs, aiming to provide a theoretical foundation and future directions for developing novel therapeutic strategies and drugs for NDs.]]> 2025/9/10 14:27:25 Objective In the clinical diagnosis and grading of brain glioma from histopathological slides, whole-slide cell nucleus density estimation is a critical task. This metric is a key biomarker directly correlated with tumor malignancy, proliferative activity, and patient prognosis, as defined by the World Health Organization (WHO) classification system. Glioma density estimation typically relies heavily on the performance of underlying nucleus segmentation. However, segmentation accuracy is challenged by substantial heterogeneity in nucleus morphology and significant staining variations both across slides and within individual specimens. This variability often causes standard semantic segmentation models to overfit the training data, leading to considerable errors in density estimation. Such inaccuracies can compromise downstream pathological assessments, particularly the subjective and time-consuming manual selection of regions of interest (ROI) for grading. To address these limitations, this study aims to develop a precise and robust whole-slide nucleus density estimation method that enhances model generalization and mitigates overfitting, thereby providing an objective, automated tool for glioma analysis.Methods We propose a systematic three-stage pipeline. (1) Preprocessing: whole-slide images (WSIs) of glioma undergo comprehensive preprocessing, including automated data cleaning to discard blurry or artifact-contaminated patches, data augmentation through geometric transformations (e.g., rotation, flipping) to increase dataset diversity, and color normalization. The latter, based on RGB channel ratios, remaps the color space of all patches to a standardized target, reducing domain shifts caused by staining inconsistencies and improving model robustness. A rigorous semi-automated ground-truth annotation protocol is also implemented, where initial binarization assists annotators in accurately labeling even faint or blurry nuclei, ensuring high-quality training data. (2) Segmentation: using the preprocessed patches, we construct a U-net-based segmentation model that incorporates the DropBlock regularization module—here termed U-net+DropBlock. Unlike standard Dropout, which removes individual neurons, DropBlock eliminates contiguous, spatially correlated regions within feature maps. This structural regularization disrupts undesirable spatial dependencies, forcing the network to learn a more distributed and robust feature representation, thereby reducing overfitting. (3) Quantitative analysis: for each segmented patch, density is computed as the ratio of the total nucleus area to the total patch area—a more robust approach than simple nucleus counting, as it accounts for variations in nucleus size. Patch-wise density values are then assembled into a whole-slide density heatmap, offering an intuitive, global overview of tumor cellularity.Results The U-net+DropBlock model was evaluated both quantitatively and qualitatively against state-of-the-art nucleus segmentation methods, including standard U-net and Hover-net. Quantitatively, our model achieved an F1 score of 90.1%, outperforming U-net and Hover-net, which both scored 87.6%. Qualitative analysis confirmed that our method effectively balances precision and recall, substantially reducing the over-segmentation artifacts common with U-net and the under-segmentation issues observed with Hover-net. This enhanced segmentation quality directly improved the accuracy and reliability of the proposed density estimation approach.Conclusion The proposed whole-slide nucleus density estimation method provides a powerful tool for improving the precision and efficiency of glioma diagnosis. By enabling automated, rapid, and objective analysis of cellular density, it overcomes key limitations of manual pathological review. The generated heatmaps allow pathologists to rapidly identify high-density “hotspots” critical for accurate grading and prognostic evaluation, supporting a more standardized and reproducible ROI selection process. This work lays a solid foundation for developing advanced AI-assisted diagnostic systems, paving the way for more precise, efficient, and reproducible glioma assessments in clinical practice.]]> 2025/9/9 17:39:37 2025/9/8 21:25:14 KRAS, c-Myc and EGFR are abnormally activated, cancer cell will secrete various cytokines and chemokines, thereby recruiting various immunosuppressive cells to the TME and causing exhaustion of CD8⁺ T and NK cells. It can also reprogram CAFs and eventually promote the development of cancer. Furthermore, similar phenomena occur after the inactivation of tumor suppressor genes. For example, cancer cells with inactivated PTEN genes will secrete large amounts of IL-33 and LOX to recruit macrophages and induce TAMs. Cancer cells can secrete a variety of microRNAs into the tumor microenvironment after p53 dysregulation. These mircoRNAs can reprogram CAFs and lead to epithelial-mesenchymal transition. Finally, we summarize the reversing effects of therapeutic interventions targeting mutant oncogenes or tumor suppressor genes (such as KRAS inhibitors, overexpression of p53 by mRNA, PI3Kβ inhibitors) on the immunosuppressive tumor microenvironment. Some of the results of their synergistic effects in combination with immunotherapy are also listed. Compared with monotherapy, the combination of either KRAS inhibitor or p53 mRNA nanomedicine with αPD-1 therapy resulted in more durable and potent anti-tumor effects. In summary, this review elucidates the regulatory and remodeling effects of genetic alterations in tumor cells on the tumor immune microenvironment, and analyzes the great potential of gene alteration intervention combined with immunotherapy. We hope it can provide theoretical basis and development strategy for precise cancer immunotherapy.]]> 2025/9/8 8:37:46 Objective With the continuous evolution of severe acute respiratory syndromes-coronary virus 2 (SARS-CoV-2) Omicron subvariants, particularly the emergence of BA.2.86 and its descendant JN.1, the efficacy of current neutralizing antibodies has faced substantial challenges. The JN.1 variant, noted for its pronounced immune evasion capacity, has rapidly become the globally dominant strain. Elucidating its escape mechanisms is therefore essential to guide the development of next-generation broad-spectrum vaccines and neutralizing antibody therapeutics. This study aimed to investigate the immune evasion mechanisms of JN.1 against broadly neutralizing antibodies, focusing on the effects of key receptor-binding domain (RBD) mutations on antibody binding and neutralization, thereby providing theoretical support for countering ongoing viral evolution.Methods We employed a multidisciplinary approach to systematically assess the binding and neutralizing activities of three broad-spectrum neutralizing antibodies (XGv074, XGv302, and XGv303) against BA.2.86 and JN.1. Binding affinities (K_D values) of antibodies to variant RBDs were determined using bio-layer interferometry (BLI). Cryo-electron microscopy (cryo-EM) was used to resolve the structure of the BA.2.86 Spike trimer in complex with antibody antigen-binding fragments (Fabs), achieving a resolution of 3.47 ? for the BA.2.86 S-trimer bound to XGv302. Molecular dynamics simulations and binding free-energy decomposition were conducted to quantify the contributions of key mutations at the antibody-RBD interface. Additionally, sequence alignment and structural modeling were performed to evaluate the role of conformational flexibility in the antibody heavy-chain complementarity-determining region 3 (HCDR3) in mediating tolerance to mutations.Results Experimental data showed that XGv074, XGv302, and XGv303 retained neutralizing activity against BA.2.86 but exhibited markedly reduced binding to JN.1, with only XGv074 maintaining weak neutralization (IC₅₀=2.3 mg/L). Cryo-EM structures revealed that all three antibodies targeted the RBD tip, overlapping with the ACE2-binding region. The JN.1-specific L455S mutation disrupted the hydrophobic interaction network between XGv302 and the RBD (involving key residues such as Y421 and L455), resulting in complete loss of neutralization. Binding free-energy decomposition further identified L455 and Y421 as energetic hotspots (ΔG<-3 kcal/mol), with the L455S mutation directly impairing antibody binding. XGv074, owing to greater conformational flexibility in its HCDR3 region, partially tolerated the mutation and retained weak binding. Molecular dynamics simulations showed that the L455S mutation not only eliminated the energetic contribution of this residue but also caused a concurrent decrease in binding free energy of neighboring residues, thereby reducing overall interface stability.Conclusion The JN.1 variant escapes broad-spectrum neutralizing antibodies primarily through the L455S mutation in the RBD, which disrupts energetic hotspots and remodels the antibody-binding interface. Antibody conformational flexibility enhances adaptability to such mutations, providing new insights for broad-spectrum antibody design. These findings highlight the critical roles of epitope energy distribution and antibody flexibility in maintaining neutralization breadth, offering essential guidance for the rational design of next-generation vaccines and antibody therapeutics: specifically targeting conserved energetic hotspots while enhancing CDR flexibility to counter immune evasion driven by viral evolution.]]> 2025/8/20 14:57:08 Objective In nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting.Methods Visual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions.Results Behavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance).Conclusion Neurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.]]> 2025/8/12 20:42:58 Objective N6-methyladenosine (m6A), the most prevalent epigenetic modification in eukaryotic RNA, plays a pivotal role in regulating cellular differentiation and developmental processes, with its dysregulation implicated in diverse pathological conditions. Accurate prediction of m6A sites is critical for elucidating their regulatory mechanisms and informing drug development. However, traditional experimental methods are time-consuming and costly. Although various computational approaches have been proposed, challenges remain in feature learning, predictive accuracy, and generalization. Here, we present m6A-PSRA, a dual-branch residual-network-based predictor that fully exploits RNA sequence information to enhance prediction performance and model generalization.Methods m6A-PSRA adopts a parallel dual-branch network architecture to comprehensively extract RNA sequence features via two independent pathways. The first branch applies one-hot encoding to transform the RNA sequence into a numerical matrix while strictly preserving positional information and sequence continuity. This ensures that the biological context conveyed by nucleotide order is retained. A bidirectional long short-term memory network (BiLSTM) then processes the encoded matrix, capturing both forward and backward dependencies between bases to resolve contextual correlations. The second branch employs a k-mer tokenization strategy (k=3), decomposing the sequence into overlapping 3-mer subsequences to capture local sequence patterns. A pre-trained Doc2vec model maps these subsequences into fixed-dimensional vectors, reducing feature dimensionality while extracting latent global semantic information via context learning. Both branches integrate residual networks (ResNet) and a self-attention mechanism: ResNet mitigates vanishing gradients through skip connections, preserving feature integrity, while self-attention adaptively assigns weights to focus on sequence regions most relevant to methylation prediction. This synergy enhances both feature learning and generalization capability.Results Across 11 tissues from humans, mice, and rats, m6A-PSRA consistently outperformed existing methods in accuracy (ACC) and area under the curve (AUC), achieving >90% ACC and >95% AUC in every tissue tested, indicating strong cross-species and cross-tissue adaptability. Validation on independent datasets—including three human cell lines (MOLM1, HEK293, A549) and a long-sequence dataset (m6A_IND, 1 001 nt)—confirmed stable performance across varied biological contexts and sequence lengths. Ablation studies demonstrated that the dual-branch architecture, residual network, and self-attention mechanism each contribute critically to performance, with their combination reducing interference between pathways. Motif analysis revealed an enrichment of m6A sites in guanine (G) and cytosine (C), consistent with known regulatory patterns, supporting the model’s biological plausibility.Conclusion m6A-PSRA effectively captures RNA sequence features, achieving high prediction accuracy and robust generalization across tissues and species, providing an efficient computational tool for m6A methylation site prediction.]]> 2025/8/12 12:53:00 e.g., cAMP, cGMP), and regulatory factors (e.g., microRNAs, growth differentiation factors), thereby maintaining meiotic arrest, facilitating metabolic cooperation, and supporting gene expression regulation in the oocyte. The proper formation and maintenance of TZPs depend on the cytoskeletal integrity of granulosa cells and the regulated expression of key connexins, particularly CX37 and CX43. Recent studies have revealed that in PCOS, TZPs exhibit significant structural and functional abnormalities. Contributing factors—such as hyperandrogenism, insulin resistance, oxidative stress, chronic inflammation, and dysregulation of critical signaling pathways (including PI3K/Akt, Wnt/β-catenin, and MAPK/ERK)—collectively impair TZP integrity and reduce their formation. This disruption in granulosa-oocyte communication compromises oocyte quality and contributes to follicular arrest and anovulation. This review provides a comprehensive overview of TZP biology, including their formation mechanisms, molecular composition, and stage-specific dynamics during folliculogenesis. We highlight the pathological alterations in TZPs observed in PCOS and elucidate how endocrine and metabolic disturbances—particularly androgen excess and hyperinsulinemia—downregulate CX43 expression and impair gap junction function, thereby exacerbating ovarian microenvironmental dysfunction. Furthermore, we explore emerging therapeutic strategies aimed at preserving or restoring TZP integrity. Anti-androgen therapies (e.g., spironolactone, flutamide), insulin sensitizers (e.g., metformin), and GLP-1 receptor agonists (e.g., liraglutide) have shown potential in modulating connexin expression and enhancing granulosa-oocyte communication. In addition, agents such as melatonin, AMPK activators, and GDF9/BMP15 analogs may promote TZP formation and improve oocyte competence. Advanced technologies, including ovarian organoid models and CRISPR-based gene editing, offer promising platforms for studying TZP regulation and developing targeted interventions. In summary, TZPs are indispensable for maintaining follicular homeostasis, and their disruption plays a pivotal role in the pathogenesis of PCOS-related folliculogenesis failure. Targeting TZP integrity represents a promising therapeutic avenue in PCOS management and warrants further mechanistic and translational investigation.]]> 2025/8/7 11:27:33 via phosphorylation. Epigenetic mechanisms—including N6-methyladenosine (m6A) RNA modification and histone H3K18 lactylation—further stabilize glycolytic gene expression and reinforce metabolic reprogramming. These alterations form an integrated regulatory network that sustains high glycolytic flux in ectopic cells. Importantly, GMR profoundly affects the immune microenvironment. Lactate produced by glycolytic stromal cells promotes M2 macrophage polarization and impairs the function of cytotoxic T cells and dendritic cells, leading to immune evasion and chronic inflammation. Meanwhile, immune cells themselves undergo metabolic reprogramming, exhibiting increased dependence on glycolysis and diminished oxidative capacity. This bidirectional metabolic-immune feedback loop facilitates lesion persistence and disease progression. GMR is also closely linked to infertility in EM and AM. In the ovarian microenvironment, glycolytic imbalance leads to lactate accumulation in follicular fluid, negatively affecting oocyte quality and embryo development. In the endometrium, excessive glycolysis disrupts decidualization, angiogenesis, and immune tolerance—processes essential for implantation and pregnancy. Targeting glycolysis offers promising therapeutic potential. Small-molecule inhibitors such as dichloroacetate and meclozine target PDK and HK2, respectively. Natural compounds like cinnamic acid and protoberberine derivatives exhibit both anti-glycolytic and anti-inflammatory effects. Traditional Chinese medicine formulations, including Guizhi Fuling Wan, have shown efficacy in modulating metabolism, vascular remodeling, and fibrosis. Combination therapies, such as atorvastatin with resveratrol, may provide synergistic benefits by inhibiting both glucose uptake and lactate export. In conclusion, glycolytic metabolic reprogramming is a central mechanism linking inflammation, immune dysfunction, lesion progression, and reproductive failure in endometriotic diseases. Future research should focus on identifying metabolic subtypes, developing combined metabolic-immune therapies, and evaluating the safety of these treatments in reproductive-age women. These insights may pave the way toward personalized, mechanism-driven interventions for EM and AM.]]> 2025/8/5 20:03:27 2+ homeostasis. Recent studies have shown that adenosine monophosphate-activated protein kinase (AMPK) plays a crucial protective role by lowering blood glucose levels, promoting lipolysis, inhibiting lipid synthesis, and exerting antioxidant, anti-inflammatory, anti-apoptotic, and anti-ferroptotic effects. It also enhances autophagy, thereby alleviating myocardial injury under hyperglycemic conditions. Consequently, AMPK is considered a key protective factor in diabetic cardiomyopathy. As part of diabetes prevention and treatment strategies, both pharmacological and exercise interventions have been shown to mitigate diabetic cardiomyopathy by modulating the AMPK signaling pathway. However, the precise regulatory mechanisms, optimal intervention strategies, and clinical translation require further investigation. This review summarizes the role of AMPK in the prevention and treatment of diabetic cardiomyopathy through drug and/or exercise interventions, aiming to provide a reference for the development and application of AMPK-targeted therapies. First, several classical AMPK activators (e.g., AICAR, A-769662, O-304, and metformin) have been shown to enhance autophagy and glucose uptake while inhibiting oxidative stress and inflammatory responses by increasing the phosphorylation of AMPK and its downstream target, mammalian target of rapamycin (mTOR), and/or by upregulating the gene expression of glucose transporters GLUT1 and GLUT4. Second, many antidiabetic agents (e.g., teneligliptin, liraglutide, exenatide, semaglutide, canagliflozin, dapagliflozin, and empagliflozin) can promote autophagy, reverse excessive apoptosis and autophagy, and alleviate oxidative stress and inflammation by enhancing AMPK phosphorylation and its downstream targets, such as mTOR, or by increasing the expression of silent information regulator 1 (SIRT1) and peroxisome proliferator-activated receptor-α (PPAR-α). Third, certain anti-anginal (e.g., trimetazidine, nicorandil), anti-asthmatic (e.g., farrerol), antibacterial (e.g., sodium houttuyfonate), and antibiotic (e.g., minocycline) agents have been shown to promote autophagy/mitophagy, mitochondrial biogenesis, and inhibit oxidative stress and lipid accumulation via AMPK phosphorylation and its downstream targets such as protein kinase B (PKB/AKT) and/or PPAR-α. Fourth, natural compounds (e.g., dihydromyricetin, quercetin, resveratrol, berberine, platycodin D, asiaticoside, cinnamaldehyde, and icariin) can upregulate AMPK phosphorylation and downstream targets such as AKT, mTOR, and/or the expression of nuclear factor erythroid 2-related factor 2 (Nrf2), thereby exerting anti-inflammatory, anti-apoptotic, anti-pyroptotic, antioxidant, and pro-autophagic effects. Fifth, moderate exercise (e.g., continuous or intermittent aerobic exercise, aerobic combined with resistance training, or high-intensity interval training) can activate AMPK and its downstream targets (e.g., acetyl-CoA carboxylase (ACC), GLUT4, PPARγ coactivator-1α (PGC-1α), PPAR-α, and forkhead box protein O3 (FOXO3)) to promote fatty acid oxidation and glucose uptake, and to inhibit oxidative stress and excessive mitochondrial fission. Finally, the combination of liraglutide and aerobic interval training has been shown to activate the AMPK/FOXO1 pathway, thereby reducing excessive myocardial fatty acid uptake and oxidation. This combination therapy offers superior improvement in cardiac dysfunction, myocardial hypertrophy, and fibrosis in diabetic conditions compared to liraglutide or exercise alone.]]> 2025/8/5 19:53:06 via the PGC-1α/TFAM axis, and initiation of autophagy through the ULK1/mTOR pathway. Emerging mechanisms are also discussed, such as exercise-induced epigenetic modifications (e.g., histone acetylation and miRNA regulation), modulation of the gut microbiota, and metabolite-mediated immune programming (e.g., short-chain fatty acids (SCFAs), β-hydroxybutyrate). The effects of exercise on innate immunity vary considerably among individuals, depending on factors such as age, sex, and comorbidities. For example, adolescents exhibit enhanced NK cell mobilization, whereas older adults benefit from reduced chronic inflammation and immune aging. Sex hormones and metabolic conditions (e.g., obesity, diabetes, chronic obstructive pulmonary disease, cancer) further modulate the immune response to exercise. Based on these insights, we propose a personalized approach to exercise prescription guided by the FITT (frequency, intensity, time, and type) principle, aiming to optimize immune outcomes across diverse populations. Importantly, given the dual role of exercise in immune activation and regulation, caution is warranted: while moderate exercise enhances immune defense, excessive or high-intensity activity may induce transient immunosuppression. In pathological contexts such as infection, autoimmune diseases, or tissue injury, exercise intensity and timing must be carefully adjusted. This review provides practical guidelines for exercise-based immune modulation and underscores the need for dose-response studies and advancements in precision exercise medicine. In conclusion, exercise represents a safe and effective strategy for enhancing innate immune function and mitigating chronic inflammatory diseases.]]> 2025/8/4 8:30:48 2025/8/1 9:07:16 via nucleation-dependent polymerization mechanism, in which follows sigmoidal growth kinetics with three steps: lag phase, growth phase, and plateau phase. The formation and subsequent distribution of these pathological amyloid fibrils are closely related to the onset and progression of NDs. Additionally, the aberrant aggregation of these disease-associated proteins proceeds via liquid-liquid phase separation (LLPS) and liquid-to-solid phase transition (LSPT) leading to amyloid fibril formation in the condensed phase. The phase transition from liquid-like droplets or dynamic condensates to solid-like hydrogel or amyloids is intimately linked to the pathogenesis of several NDs. In this review, we discuss two typical pathways of amyloid fibrils formation. One route involves aggregation in the bulk solution environment, proceeding via nucleation and elongation steps to form amyloid fibrils. In this scenario, protein aggregation initiates with the nucleation step to form oligomeric nuclei. Then the nuclei serve as templates for the subsequent elongation step ultimately leading to the formation of amyloid fibrils. When sufficient fibrils have formed during self-assembly, the secondary nucleation is triggered to generate new species of oligomers and fibrillar aggregates. The other route of fibril formation occurs in the condensed phase through LLPS and LSPT to form amyloid aggregates and deposits. The occurrence of a phase separation leads to the liquid-like droplets formation during the early stage of aggregation. Over time, these dynamic biomolecular condensates gradually solidify and ultimately evolve into a hydrogel state enriched by amyloid aggregates through a phase transition process. Evidence indicates that pathological phase transitions are early events in the pathogenesis of several NDs. It should be noted that these two routes are not independent or mutually exclusive. They are interconnected and function cooperatively during aberrant aggregation. The pathological progression of NDs is closely related to the dominant aggregation pathway involved in aberrant aggregation. Moreover, the molecular mechanisms underlying the formation of pathogenic amyloid deposits are intricately linked to the structural and functional characteristics of aggregates. These aggregates may not only directly participate in fibrillization, but also indirectly promote the development of NDs by affecting the normal physiological cellular functions. Therefore, in-depth research on the structural and functional properties of both intermediates and fibrils is of great significance for understanding the molecular mechanisms of protein misfolding and aberrant aggregation. Overall, this paper reviews the amyloid deposition and pathological phase transitions in NDs. By delving into the molecular mechanisms of amyloid fibrillization, the aim is to better understand the pathogenesis of NDs, and to provide valuable insights into the development of therapeutic strategies targeting amyloid aggregation and aberrant phase transition.]]> 2025/8/1 9:00:38 e.g., humic acids, heme, indigo dyes), and often inadequate sensitivity for trace or degraded samples typical of crime scenes, thereby failing to meet the critical operational imperatives of forensic practice: rapidity, high specificity, sensitivity, portability, and robustness against interference. This review posits that CRISPR-Cas-based RNA detection technology provides a groundbreaking solution by leveraging the programmable, sequence-specific recognition conferred by the synergistic interaction between a designed guide RNA (gRNA) and Cas effector proteins (e.g., Cas12a, Cas13a, Cas14). Upon target RNA binding, specific Cas enzymes undergo conformational activation, exhibiting collateral cleavage activity―a unique catalytic amplification mechanism where the enzyme non-specifically cleaves surrounding reporter molecules, enabling ultra-high sensitivity. To further enhance detection limits, CRISPR-Cas systems are strategically integrated with isothermal pre-amplification techniques like recombinase polymerase amplification (RPA) or loop-mediated isothermal amplification (LAMP), which efficiently amplify target RNA at constant temperatures, eliminating the need for thermal cyclers. This powerful cascade―isothermal pre-amplification followed by CRISPR-mediated sequence-specific recognition and collateral signal amplification―achieves exceptional sensitivity, often down to the single-molecule (attomolar) level, while drastically reducing analysis time to potentially 30-60 min. Crucially, the compatibility of CRISPR-Cas detection with simple, equipment-free readout systems, such as lateral flow strips (LFS) for visual colorimetric results or portable fluorescence/electrochemical sensors, facilitates true point-of-need (PON) forensic analysis directly at crime scenes, morgues, or field labs. This enables rapid applications like specific body fluid identification (e.g., distinguishing menstrual blood via miRNA, identifying saliva via mRNA), post-mortem interval (PMI) estimation through RNA degradation/expression patterns, donor age inference via age-related RNA markers, tissue identification, and microbial forensics, thereby accelerating investigative leads, minimizing sample degradation risks, and optimizing resource allocation. However, significant challenges impede widespread adoption, including persistent environmental interference inhibiting enzymes, fluctuations in Cas/amplification enzyme activity affecting reproducibility, a critical lack of standardized protocols and validated quality assurance/quality control (QA/QC) frameworks essential for forensic reliability and court admissibility, and current limitations in multiplex detection capability. Consequently, future research must prioritize overcoming multiplexing bottlenecks for comprehensive analysis, enhancing system robustness through Cas protein engineering and optimized reagents, developing fully integrated, sample-to-answer microfluidic or lateral flow devices for user-friendly field deployment, and collaboratively establishing universally accepted validation guidelines, performance standards, and stringent QA/QC procedures. Furthermore, the urgent development of clear ethical guidelines governing the use of this highly sensitive technology, particularly concerning RNA data privacy and potential misuse, is imperative. This review systematically outlines the principles, forensic applications, current limitations, and future trajectories of CRISPR-RNA detection, with the authors’ conviction that focused efforts addressing these challenges will translate this technology into a cornerstone of next-generation forensic practice, driving unprecedented efficiency and innovation in field investigations and laboratory analysis to enhance justice delivery.]]> 2025/7/31 16:21:41 via beta-site APP cleaving enzyme 1 (BACE1) upregulation, coupled with impaired clearance mechanisms involving the glymphatic system dysfunction and reduced Aβ-degrading enzymes (neprilysin and insulin-degrading enzyme). Cellular and histological analyses revealed that these proteinopathies are significantly exacerbated by SD-induced neuroinflammatory cascades characterized by microglial overactivation, astrocyte reactivity, and sustained elevation of pro-inflammatory cytokines (IL-1β, TNF-α, IL-6) through NF-κB signaling and NLRP3 inflammasome activation, creating a self-perpetuating cycle of neurotoxicity. The synaptic and neuronal consequences of chronic SD are particularly profound and potentially irreversible, featuring reduced expression of critical synaptic markers (PSD95, synaptophysin), impaired long-term potentiation (LTP), dendritic spine loss, and diminished neurotrophic support, especially brain-derived neurotrophic factor (BDNF) depletion, which collectively contribute to progressive cognitive decline and memory deficits. Mechanistic investigations identify three core pathways through which SD exerts its neurodegenerative effects: circadian rhythm disruption via BMAL1 suppression, orexin system hyperactivity leading to sustained wakefulness and metabolic stress, and oxidative stress accumulation through mitochondrial dysfunction and reactive oxygen species overproduction. The review critically evaluates promising therapeutic interventions including pharmacological approaches (melatonin, dual orexin receptor antagonists), metabolic strategies (ketogenic diets, and Mediterranean diets rich in omega-3 fatty acids), lifestyle modifications (targeted exercise regimens, cognitive behavioral therapy for insomnia), and emerging technologies (non-invasive photobiomodulation, transcranial magnetic stimulation). Current research limitations include insufficient understanding of dose-response relationships between SD duration/intensity and AD pathology progression, lack of long-term longitudinal clinical data in genetically vulnerable populations (particularly APOE ε4 carriers and those with familial AD mutations), the absence of standardized SD protocols across experimental models that accurately mimic human chronic sleep restriction patterns, and limited investigation of sex differences in SD-induced AD risk. The accumulated evidence underscores the importance of addressing sleep disturbances as part of multimodal AD prevention strategies and highlights the urgent need for clinical trials evaluating sleep-focused interventions in at-risk populations. The review proposes future directions focused on translating mechanistic insights into precision medicine approaches, emphasizing the need for biomarkers to identify SD-vulnerable individuals, chronotherapeutic strategies aligned with circadian biology, and multi-omics integration across sleep, proteostasis and immune profiles may delineate precision-medicine strategies for at-risk populations. By systematically examining these critical connections, this analysis positions sleep quality optimization as a viable strategy for AD prevention and early intervention while providing a comprehensive roadmap for future mechanistic and interventional research in this rapidly evolving field.]]> 2025/7/29 23:20:56 e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.]]> 2025/7/25 23:03:18 e.g., hallucinations), negative symptoms (e.g., social withdrawal), and cognitive impairments. Among these, cognitive impairment is a core feature that severely compromises patients’ social functioning and long-term prognosis. Antipsychotics, the first-line treatment for schizophrenia, are generally effective in managing positive symptoms. However, their efficacy in alleviating negative symptoms and cognitive deficits remains limited. Moreover, long-term use may lead to metabolic syndrome and extrapyramidal side effects. Consequently, non-pharmacological interventions have garnered increasing attention as alternative or adjunctive strategies for cognitive remediation in schizophrenia. In recent years, techniques grounded in neuroplasticity theory have advanced rapidly. These interventions aim to alleviate cognitive impairments by modulating neural circuits (e.g., enhancing prefrontal-hippocampal connectivity) and synaptic plasticity (e.g., modulating the BDNF/TrkB pathway) from multiple dimensions. Such approaches not only enhance cognitive function but also reduce medication-related adverse effects and improve treatment compliance. This article comprehensively reviews the clinical evidence and recent technological advances in non-pharmacological interventions targeting cognitive impairments in schizophrenia. The interventions discussed include cognitive remediation therapy (CRT), repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (tDCS), electro-acupuncture (EA), aerobic exercise (AE), and light therapy (LT). CRT, the most extensively studied and evidence-based intervention, uses structured cognitive training tasks to enhance neuroplasticity and has consistently demonstrated efficacy in improving executive function and social cognition. Both rTMS and tDCS are non-invasive brain stimulation techniques that modulate cortical excitability and neural network connectivity. While rTMS has shown promise in improving working memory and attention—particularly in patients with prominent negative symptoms—its clinical efficacy remains inconsistent, likely due to variability in stimulation parameters and patient heterogeneity. In contrast, tDCS has demonstrated encouraging effects on working memory and attention with a relatively rapid onset, although optimal stimulation protocols have yet to be standardized. EA, which combines traditional acupuncture with electrical stimulation, has been shown to improve memory function, possibly through upregulation of brain-derived neurotrophic factor (BDNF) and enhanced cerebral blood flow. It may be especially useful in treatment-resistant cases. AE is a low-cost and widely accessible intervention that promotes hippocampal neuroplasticity and BDNF expression, thereby improving memory and attention. It is recommended as a foundational adjunctive therapy, particularly for patients with chronic schizophrenia. LT, although still experimental, has yielded promising results in animal models by modulating neuroinflammation and enhancing neurogenesis via the BDNF/CREB signaling pathway. However, clinical evidence remains limited, necessitating further large-scale trials to validate its efficacy and safety. In addition to reviewing individual interventions, this article highlights the potential of combination strategies—such as CRT combined with AE or rTMS—to produce synergistic cognitive benefits. Future directions include the development of personalized treatment protocols, early intervention during neurodevelopmental windows (e.g., adolescence), and the integration of biomarkers and neuroimaging to guide therapeutic decisions. This synthesis aims to provide clinicians and researchers with a comprehensive framework for advancing non-pharmacological cognitive rehabilitation in schizophrenia.]]> 2025/7/24 7:29:57 2025/7/22 22:24:29 via aberrant activation of signaling pathways. The ubiquitination/deubiquitination process mainly involves E3 ligases (E3s) that catalyze substrate ubiquitination, deubiquitinating enzymes (DUBs) that remove ubiquitin chains, and the 26S proteasome complex that degrades ubiquitinated substrates. Abnormal expression or mutation of E3s and DUBs can lead to altered stability of critical tumor-related proteins, thereby driving OSCC initiation and progression. Therefore, understanding the aberrantly activated signaling pathways in OSCC and the ubiquitination/deubiquitination mechanisms within these pathways will help elucidate the molecular mechanisms and improve OSCC treatment by targeting relevant components. Here, we summarize four aberrantly activated signaling pathways in OSCC―the PI3K/AKT/mTOR pathway, Wnt/β-catenin pathway, Hippo pathway, and canonical NF-κB pathway―and systematically review the regulatory mechanisms of ubiquitination/deubiquitination within these pathways, along with potential drug targets. PI3K/AKT/mTOR pathway is aberrantly activated in approximately 70% of OSCC cases. It is modulated by E3s (e.g., FBXW7 and NEDD4) and DUBs (e.g., USP7 and USP10): FBXW7 and USP10 inhibit signaling, while NEDD4 and USP7 potentiate it. Aberrant activation of the Wnt/β-catenin pathway leads to β-catenin nuclear translocation and induction of cell proliferation. This pathway is modulated by E3s (e.g., c-Cbl and RNF43) and DUBs (e.g., USP9X and USP20): c-Cbl and RNF43 inhibit signaling, while USP9X and USP20 potentiate it. Hippo pathway inactivation permits YAP/TAZ to enter the nucleus and promotes cancer cell metastasis. This pathway is modulated by E3s (e.g., CRL4^DCAF1 and SIAH2) and DUBs (e.g., USP1 and USP21): CRL4^DCAF1 and SIAH2 inhibit signaling, while USP1 and USP21 potentiate it. Persistent activation of the canonical NF-κB pathway is associated with an inflammatory microenvironment and chemotherapy resistance. This pathway is modulated by E3s (e.g., TRAF6 and LUBAC) and DUBs (e.g., A20 and CYLD): A20 and CYLD inhibit signaling, while TRAF6 and LUBAC potentiate it. Targeting these E3s and DUBs provides directions for OSCC drug research. Small-molecule inhibitors such as YCH2823 (a USP7 inhibitor), GSK2643943A (a USP20 inhibitor), and HOIPIN-8 (a LUBAC inhibitor) have shown promising antitumor activity in preclinical models; PROTAC molecules, by binding to surface sites of target proteins and recruiting E3s, achieve targeted ubiquitination and degradation of proteins insensitive to small-molecule inhibitors, for example, PU7-1-mediated USP7 degradation, offering new strategies to overcome traditional drug limitations. Currently, NX-1607 (a Cbl-b inhibitor) has entered phase I clinical trials, with preliminary results confirming its safety and antitumor activity. Future research on aberrant E3s and DUBs in OSCC and the development of highly specific inhibitors will be of great significance for OSCC precision therapy.]]> 2025/7/21 15:02:58 AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.]]> 2025/7/21 15:01:19 Objective Transfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks.Methods We began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets.Results The proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research.Conclusion This study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5"UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.]]> 2025/7/14 8:41:30 THBS4 gene, as well as the activity of the THBS4 protein, are tightly regulated by multiple signaling pathways and extracellular cues. Positive regulators of THBS4 include transforming growth factor-β (TGF-β), interferon-γ (IFNγ), granulocyte-macrophage colony-stimulating factor (GM-CSF), bone morphogenetic proteins (BMP12/13), and other regulatory factors (such as B4GALNT1, ITGA2/ITGB1, PDGFRβ, etc.), which upregulate THBS4 at the mRNA and/or protein level. Conversely, oxidized low-density lipoprotein (OXLDL) acts as a potent negative regulator of THBS4. This intricate regulatory network ensures precise spatial and temporal control of THBS4 expression in response to diverse physiological and pathological stimuli. Functionally, THBS4 acts as a critical signaling hub, influencing multiple downstream pathways essential for cellular behavior and tissue homeostasis. The best-characterized pathways include: (1) the PI3K/AKT/mTOR axis, which THBS4 modulates through both direct and indirect interactions with integrins and growth factor receptors; (2) Wnt/β-catenin signaling, where THBS4 functions as either an activator or inhibitor depending on the cellular context; (3) the suppression of DBET/TRIM69, contributing to its diverse regulatory roles. These signaling connections position THBS4 as a master regulator of cellular responses to microenvironmental changes. Substantial evidence links aberrant THBS4 expression to a range of pathological conditions, including neoplastic diseases, cardiovascular disorders, fibrotic conditions, neurodegenerative diseases, musculoskeletal disorders, and atopic dermatitis. In cancer biology, THBS4 exhibits context-dependent roles, functioning either as a tumor suppressor or promoter depending on the tumor type and microenvironment. In the cardiovascular system, THBS4 contributes to both adaptive remodeling and maladaptive fibrotic responses. Its involvement in fibrotic diseases arises from its ability to regulate ECM deposition and turnover. The diagnostic and therapeutic potential of THBS4 is particularly promising in oncology and cardiovascular medicine. As a biomarker, THBS4 expression patterns correlate significantly with disease progression and patient outcomes. Therapeutically, targeting THBS4-mediated pathways offers novel opportunities for precision medicine approaches, including anti-fibrotic therapies, modulation of the tumor microenvironment, and enhancement of tissue repair. This comprehensive review systematically explores three key aspects of THBS4research (1) The fundamental biological functions of THBS4 in ECM organization; (2) its mechanistic involvement in various disease pathologies; (3) its emerging potential as both a diagnostic biomarker and therapeutic target. By integrating recent insights from molecular studies, animal models, and clinical investigations, this review provides a framework for understanding the multifaceted roles of THBS4 in health and disease. The synthesis of current knowledge highlights critical research gaps and future directions for exploring THBS4-targeted interventions across multiple disease contexts. Given its unique position at the intersection of ECM biology and cellular signaling, THBS4 represents a promising frontier for the development of novel diagnostic tools and therapeutic strategies in precision medicine.]]> 2025/7/11 16:32:37 in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β-protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.]]> 2025/7/11 16:22:53 Objective Tobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction.Methods The study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools.Results Experimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence.Conclusion The TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.]]> 2025/7/11 16:16:00 2025/7/10 11:17:28 2025/7/9 11:25:25 Objective Recent studies have highlighted the critical role of NUDT19 in the initiation, progression, and prognosis of specific cancer types. However, its involvement in pan-cancer analysis has not been fully characterized. This study aims to systematically explore the expression patterns, clinical significance, and immune-related functions of NUDT19 in various cancer types through multi-omics analysis, further revealing its potential role in cancer, particularly its functional and therapeutic target value in leukemia.Methods To achieve this goal, various bioinformatics approaches were employed to evaluate the expression patterns, clinical significance, and immune-related functions of NUDT19 in tumors and normal tissues. Additionally, we analyzed the mutation characteristics of NUDT19 and its relationship with epigenetic modifications. Using the single-cell analysis tool SingleCellBase, we explored the distribution of NUDT19 across different cell subpopulations in tumors. To validate these findings, qRT-PCR was used to measure NUDT19 expression levels in specific tumor cell lines, and we established acute myeloid leukemia (AML) cell lines (HL-60 and THP-1) to conduct NUDT19 knockdown and overexpression experiments, assessing its effects on leukemia cell proliferation, apoptosis, and invasion.Results Pan-cancer analysis revealed the dysregulated expression of NUDT19 across multiple cancer types, which was closely associated with poor prognosis, clinical staging, and diagnostic markers. Furthermore, NUDT19 was significantly correlated with tumor biomarkers, immune-related genes, and immune cell infiltration in different cancers. Mutation analysis showed that multiple mutations in NUDT19 were significantly associated with epigenetic changes. Single-cell analysis revealed the heterogeneity of NUDT19 expression in cancer cells, suggesting its potentially diverse functional roles in different cell subpopulations. qRT-PCR experiments confirmed the significant upregulation of NUDT19 in various tumor cell lines. In AML cell lines, NUDT19 knockdown led to reduced cell proliferation and invasion, with increased apoptosis, while NUDT19 overexpression significantly enhanced cell proliferation and invasion while reducing apoptosis.Conclusion This study demonstrates the diverse roles of NUDT19 in various cancer types, with a particularly prominent functional role in leukemia. NUDT19 is not only associated with tumor initiation and progression but may also influence cancer progression through the regulation of immune microenvironment and epigenetic mechanisms. Our research highlights the potential of NUDT19 as a therapeutic target, particularly for targeted therapies in malignancies such as leukemia, with significant clinical application prospects.]]> 2025/7/9 11:23:28 via mechanisms such as lipid metabolism regulation, anti-inflammatory actions, and anti-apoptotic effects. PPARα is activated by binding to natural or synthetic lipophilic ligands, including endogenous fatty acids and their derivatives (e.g., linoleic acid, oleic acid, and arachidonic acid) as well as synthetic peroxisome proliferators. Upon ligand binding, PPARα activates the nuclear receptor retinoid X receptor (RXR), forming a PPARα-RXR heterodimer. This heterodimer, in conjunction with coactivators, undergoes further activation and subsequently binds to peroxisome proliferator response elements (PPREs), thereby regulating the transcription of target genes critical for lipid and glucose homeostasis. Key genes include fatty acid translocase (FAT/CD36), diacylglycerol acyltransferase (DGAT), carnitine palmitoyltransferase I (CPT1), and glucose transporter (GLUT), which are primarily involved in fatty acid uptake, storage, oxidation, and glucose utilization processes. Advancing research on PPARα as a therapeutic target for cardiovascular diseases has underscored its growing clinical significance. Currently, PPARα activators/agonists, such as fibrates (e.g., fenofibrate and bezafibrate) and thiazolidinediones, have been extensively studied in clinical trials for CVD prevention. Traditional PPARα agonists, including fenofibrate and bezafibrate, are widely used in clinical practice to treat hypertriglyceridemia and low high-density lipoprotein cholesterol (HDL-C) levels. These fibrates enhance fatty acid metabolism in the liver and skeletal muscle by activating PPARα, and their cardioprotective effects have been validated in numerous clinical studies. Recent research highlights that fibrates improve insulin resistance, regulate lipid metabolism, correct energy metabolism imbalances, and inhibit the proliferation and migration of vascular smooth muscle and endothelial cells, thereby ameliorating pathological remodeling of the cardiovascular system and reducing blood pressure. Given the substantial attention to PPARα-targeted interventions in both basic research and clinical applications, activating PPARα may serve as a key therapeutic strategy for managing cardiovascular conditions such as myocardial hypertrophy, atherosclerosis, ischemic cardiomyopathy, myocardial infarction, diabetic cardiomyopathy, and heart failure. This review comprehensively examines the regulatory roles of PPARα in cardiovascular diseases and evaluates its clinical application value, aiming to provide a theoretical foundation for further development and utilization of PPARα-related therapies in CVD treatment.]]> 2025/7/3 16:14:52 Objective The proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data.Methods The software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report.Results SAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of 2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations.Conclusion An automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.]]> 2025/6/30 21:29:29 Objective Fat infiltration has been shown to be closely related to muscle mass loss and a variety of muscle diseases. This study proposes a method based on phase-angle electrical impedance tomography (ΦEIT) to visualize the electrical characteristic response caused by muscle fat infiltration, aiming to provide a new technical means for early non-invasive detection of muscle mass deterioration.Methods This study was divided into two parts. First, a laboratory pork model was constructed to simulate different degrees of fat infiltration by injecting 1 ml or 2 ml of emulsified fat solution into different muscle compartments, and the phase angle images were reconstructed using ΦEIT. Second, a human experiment was conducted to recruit healthy subjects (n=8) from two age groups (20-25 years old and 26-30 years old). The fat content percentage η_fat of the left and right legs was measured by bioelectrical impedance analysis (BIA), and the phase angle images of the left and right calves were reconstructed using ΦEIT. The relationship between the global average phase angle Φ_M and the spatial average phase angle Φ_Mi of each muscle compartment and fat infiltration was further analyzed.Results In the laboratory pork model, the grayscale value of the image increased with the increase of η_fat and Φ_M showed a downward trend. The results of human experiments showed that at the same fat content percentage, the Φ_M of the 26-30-year-old group was about 20%-35% lower than that of the 20-25-year-old group. The fat content percentage was significantly negatively correlated with Φ_M. In addition, the M₂ (soleus) compartment was most sensitive to fat infiltration, and the spatial average phase angles of the M₂ (soleus), M₃ (tibialis posterior and flexor digitorum longus), and M₄ (tibialis anterior, extensor digitorum longus, and peroneus longus) compartments all showed significant inter-group differences.Conclusion ΦEIT imaging can effectively distinguish different degrees of fat infiltration, especially in deep, small or specially located muscles, showing high sensitivity, demonstrating the potential application of this method in local muscle mass monitoring and early non-invasive diagnosis.]]> 2025/6/30 21:26:28 via ER-LD bridging structures, enabling localized lipid production and surface expansion, ultimately resulting in the formation of mature LDs. Biochemical and biophysical approaches have revealed important features of this process, underscoring the critical roles of ER membrane biophysical properties and specific phospholipids. Structural biology and proteomic studies have identified key regulators—particularly Seipin and FIT2—as central players in LD biogenesis. This review systematically summarizes recent advances in the molecular mechanisms of LD biogenesis. It delves into the processes of LD nucleation, membrane budding, and expansion in eukaryotic cells, with a special focus on how core factors such as Seipin and FIT2 dynamically regulate LD morphology. In addition, it examines the mechanisms and pathways by which class I and class II proteins are targeted to LDs, compares LD biogenesis involving different neutral lipid cores, and discusses the disease relevance of specific regulatory proteins. Finally, the review outlines critical unresolved questions in the field of LD biogenesis, offering clear directions for future research and providing a comprehensive framework for deepening our understanding of LD formation and its implications for disease intervention.]]> 2025/6/28 9:12:19 Biochemistry and Molecular Biology, while also offering innovative solutions to the pedagogical challenges associated with protein structure and function. Focusing on the case of anaplastic lymphoma kinase (ALK) gene mutations in non-small-cell lung cancer (NSCLC), this study integrates AI into case-based learning (CBL) to develop an AI-CBL hybrid teaching model. This model features an intelligent case-generation system that dynamically constructs ALK mutation scenarios using real-world clinical data, closely linking molecular biology concepts with clinical applications. It incorporates AI-powered protein structure prediction tools to accurately visualize the three-dimensional structures of both wild-type and mutant ALK proteins, dynamically simulating functional abnormalities resulting from conformational changes. Additionally, a virtual simulation platform replicates the ALK gene detection workflow, bridging theoretical knowledge with practical skills. As a result, a multidimensional teaching system is established—driven by clinical cases and integrating molecular structural analysis with experimental validation. Teaching outcomes indicate that the three-dimensional visualization, dynamic interactivity, and intelligent analytical capabilities provided by AI significantly enhance students’ understanding of molecular mechanisms, classroom engagement, and capacity for innovative research. This model establishes a coherent training pathway linking “fundamental theory-scientific research thinking-clinical practice”, offering an effective approach to addressing teaching challenges and advancing the intelligent transformation of medical education.]]> 2025/6/26 16:49:34 2025/6/23 16:48:37 e.g., theta and gamma oscillations), which are crucial for cognitive processes such as learning and memory. These interneurons synthesize and release the inhibitory neurotransmitter GABA, exerting potent control over excitatory pyramidal neurons through intricate local circuits. Their primary mechanism involves synaptic inhibition, thereby modulating the excitability and synchrony of neural populations. Emerging evidence highlights the significant involvement of GABAergic interneuron dysfunction in AD pathogenesis. Contrary to earlier assumptions of their resistance to the disease, specific subtypes exhibit vulnerability or altered function early in the disease process. Critically, this impairment is not merely a consequence but appears to be a key driver of network hyperexcitability, a hallmark feature of AD models and potentially a core mechanism underlying cognitive deficits. For instance, parvalbumin-positive (PV⁺) interneurons display biphasic alterations in activity. Both suppressing early hyperactivity or enhancing late activity can rescue cognitive deficits, underscoring their causal role. Somatostatin-positive (SST⁺) neurons are highly sensitive to amyloid beta protein (Aβ) dysfunction. Their functional impairment drives AD progression via a dual pathway: compensatory hyperexcitability promotes Aβ generation, while released SST-14 forms toxic oligomers with Aβ, collectively accelerating neuronal loss and amyloid deposition, forming a vicious cycle. Vasoactive intestinal peptide-positive (VIP⁺) neurons, although potentially spared in number early in the disease, exhibit altered firing properties (e.g., broader spikes, lower frequency), contributing to network dysfunction (e.g., in CA1). Furthermore, VIP release induced by 40 Hz sensory stimulation (GENUS) enhances glymphatic clearance of Aβ, demonstrating a direct link between VIP neuron function and modulation of amyloid pathology. Given their central role in network stability and their demonstrable dysfunction in AD, GABAergic interneurons represent promising therapeutic targets. Current research primarily explores three approaches: increasing interneuron numbers (e.g., improving cortical PV⁺ interneuron counts and behavior in APP/PS1 mice with the antidepressant citalopram; transplanting stem cells differentiated into functional GABAergic neurons to enhance cognition), enhancing neuronal activity (e.g., using low-dose levetiracetam or targeted activation of specific molecules to boost PV⁺ interneuron excitability, restoring neural network γ-oscillations and memory; non-invasive neuromodulation techniques like 40 Hz repetitive transcranial magnetic stimulation (rTMS), GENUS, and minimally invasive electroacupuncture to improve inhibitory regulation, promote memory, and reduce Aβ), and direct GABA system intervention (clinical and animal studies reveal reduced GABA levels in AD-affected brain regions; early GABA supplementation improves cognition in APP/PS1 mice, suggesting a therapeutic time window). Collectively, these findings establish GABAergic interneuron intervention as a foundational rationale and distinct pathway for AD therapy. In conclusion, GABAergic interneurons, particularly the PV⁺, SST⁺, and VIP⁺ subtypes, play critical and subtype-specific roles in the initiation and progression of AD pathology. Their dysfunction significantly contributes to network hyperexcitability, oscillatory deficits, and cognitive decline. Understanding the heterogeneity in their vulnerability and response mechanisms provides crucial insights into AD pathogenesis. Targeting these interneurons through pharmacological, neuromodulatory, or cellular approaches offers promising avenues for developing novel, potentially disease-modifying therapies.]]> 2025/6/23 11:30:49 Objective This study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy.Methods First, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance.Results Experimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments.Conclusion The integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.]]> 2025/6/22 14:06:04 via its receptor tyrosine kinase receptor B (TrkB), while also diminishing local inflammation in peripheral tissues by influencing macrophage polarization. Exercise, as a non-pharmacological intervention, is extensively employed to enhance metabolic disorders. A crucial mechanism underlying its efficacy is the significant induction of BDNF expression in central (hypothalamus, hippocampus, prefrontal cortex, and brainstem) and peripheral (liver, adipose tissue, intestines, and skeletal muscle) tissues and organs. This induction subsequently regulates inflammatory responses, ameliorates metabolic conditions, and decelerates disease progression. Consequently, BDNF is considered a pivotal molecule in the motor-metabolic regulation axis. Despite prior suggestions that BDNF may have a role in the regulation of exercise-induced inflammation, systematic data remains inadequate. Since that time, the field continues to lack structured descriptions and conversations pertinent to it. As exercise physiology research has advanced, the academic community has increasingly recognized that exercise is a multifaceted activity regulated by various systems, with its effects contingent upon the interplay of elements such as type, intensity, and frequency of exercise. Consequently, it is imperative to transcend the prior study paradigm that concentrated solely on localized effects and singular mechanisms and transition towards a comprehensive understanding of the systemic advantages of exercise. A multitude of investigations has validated that exercise confers health advantages for individuals with metabolic disorders, encompassing youngsters, adolescents, middle-aged individuals, and older persons, and typically enhances health via BDNF secretion. However, exercise is a double-edged sword; the relationship between exercise and health is not linearly positive. Insufficient exercise is ineffective, while excessive exercise can be detrimental to health. Consequently, it is crucial to scientifically develop exercise prescriptions, define appropriate exercise loads, and optimize health benefits to regulate bodily metabolism. BDNF mitigates metaflammation via many pathways during exercise. Initially, BDNF suppresses pro-inflammatory factors and facilitates the production of anti-inflammatory factors by modulating bidirectional transmission between neural and immune cells, therefore diminishing the inflammatory response. Secondly, exercise stimulates the PI3K/Akt, AMPK, and other signaling pathways via BDNF, enhancing insulin sensitivity, reducing lipotoxicity, and fostering mitochondrial production, so further optimizing the body’s metabolic condition. Moreover, exercise-induced BDNF contributes to the attenuation of systemic inflammation by collaborating with several organs, enhancing hepatic antioxidant capacity, regulating immunological response, and optimizing “gut-brain” axis functionality. These processes underscore the efficacy of exercise as a non-pharmacological intervention for enhancing anti-inflammatory and metabolic health. Despite substantial experimental evidence demonstrating the efficacy of exercise in mitigating inflammation and enhancing BDNF levels, numerous limitations persist in the existing studies. Primarily, the majority of studies have concentrated on molecular biology and lack causal experimental evidence that explicitly confirms BDNF as a crucial mediator in the exercise regulation of metaflammation. Furthermore, the outcomes of current molecular investigations are inadequately applicable to clinical practice, and a definitive pathway of “exercise-BDNF-metaflammation” remains unestablished. Moreover, the existing research methodology, reliant on animal models or limited human subject samples, constrains the broad dissemination of the findings. Future research should progressively transition from investigating isolated and localized pathways to a comprehensive multilevel and multidimensional framework that incorporates systems biology and exercise physiology. Practically, there is an immediate necessity to undertake extensive, double-blind, randomized controlled longitudinal human studies utilizing multi-omics technologies (e.g., transcriptomics, proteomics, and metabolomics) to investigate the principal signaling pathways of BDNF-mediated metaflammation and to elucidate the causal relationships and molecular mechanisms involved. Establishing a more comprehensive scientific evidence system aims to furnish a robust theoretical framework and practical guidance for the mechanistic interpretation, clinical application, and pharmaceutical development of exercise in the prevention and treatment of metabolic diseases.]]> 2025/6/22 14:04:28 2025/6/19 14:50:24 via restoring the number of dopaminergic neurons in the SN and striatum, increasing striatal dopamine contents, and reducing α-synuclein (α-syn) accumulation in the SN. In addition, BDNF also alleviates motor symptoms of PD by enhancing long-term potentiation and increasing the spine density of spiny projection neurons in the striatum, while GDNF by inhibiting neuroinflammation in the SN via suppressing the activation of microglia, reducing interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) expressions, reducing the phosphorylation of inhibitor of nuclear factor kappa Bα (IκBα), and increasing the anti-inflammatory factors IL-10 and transforming growth factor-β (TGF-β). Secondly, exercise, a main trigger for irisin secretion from skeletal muscle, can improve PD motor symptoms by stimulating the irisin/adenosine monophosphate-activated protein kinase (AMPK)/Sirtuin-1 (SIRT1) pathway. Specifically, irisin alleviates motor symptoms in PD through multiple mechanisms, including inhibiting excessive mitochondrial fission by reducing the expressions of dynamin-related protein 1 (Drp1) and mitochondrial fission protein 1 (Fis1), alleviating the apoptosis of dopaminergic neurons by increasing B-cell lymphoma 2 (Bcl-2) expression and reducing Bcl-2-associated X protein (Bax) and caspase 3 expressions, and restoring the number of dopaminergic neurons. Thirdly, new biomarkers of PD (cathepsin B and Fetuin-A) also play roles in PD development. Cathepsin B can promote the clearance of pathogenic α-syn in PD by enhancing the function of lysosomes, including strengthening the lysosomal degradation capacity, elevating the transport rate, and increasing the activity of lysosomal glucocerebrosidase (GCase). Fetuin-A has been demonstrated to improve PD by restoring the number and the morphology of Purkinje cells, which are the only efferent neurons in the cerebellar cortex and play an important role in maintaining motor coordination. This review aims to facilitate a deep understanding of the mechanism by which exercise improves PD motor symptoms and provide a theoretical basis for promotion of exercise in PD.]]> 2025/6/19 11:12:07 2) on body composition, glucose metabolism, and lipid metabolism in obese individuals, and to determine the optimal oxygen concentration range to provide scientific evidence for personalized and precise hypoxic exercise prescriptions. A systematic search was conducted in the Cochrane Library, PubMed, Web of Science, Embase, and CNKI databases for randomized controlled trials and pre-post intervention studies published up to March 31, 2025, involving hypoxic training interventions in obese populations. Meta-analysis was performed using RevMan 5.4 software to assess the effects of different fraction of inspired oxygen (FiO₂≤14% vs. FiO₂>14%) on BMI, body fat percentage, waist circumference, fasting blood glucose, insulin, HOMA-IR, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), with subgroup analyses based on oxygen concentration. A total of 22 studies involving 292 participants were included. Meta-analysis showed that hypoxic training significantly reduced BMI (mean difference (MD)=-2.29,95%CI: -3.42 to -1.17, P<0.000 1), body fat percentage (MD=-2.32, 95%CI: -3.16 to -1.47, P<0.001), waist circumference (MD=-3.79, 95%CI: -6.73 to -0.85, P=0.01), fasting blood glucose (MD=-3.58, 95%CI: -6.23 to -0.93, P=0.008), insulin (MD=-1.60, 95%CI: -2.98 to -0.22, P=0.02), TG (MD=-0.18, 95%CI: -0.25 to -0.12, P<0.001), and LDL-C (MD=-0.25, 95%CI: -0.39 to -0.11, P=0.000 3). Greater improvements were observed under moderate hypoxic conditions with FiO₂>14%. Changes in HOMA-IR (MD=-0.74, 95%CI: -1.52 to 0.04, P=0.06) and HDL-C (MD=-0.09, 95%CI: -0.21 to 0.02, P=0.11) were not statistically significant. Hypoxic training can significantly improve body composition, glucose metabolism, and lipid metabolism indicators in obese individuals, with greater benefits observed under moderate hypoxia (FiO>14%). As a key parameter in hypoxic exercise interventions, the precise setting of oxygen concentration is crucial for optimizing intervention outcomes.]]> 2025/6/13 10:17:21 Objective Traditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays.Methods This study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control.Results The CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels.Conclusion It was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.]]> 2025/6/13 8:56:37 Objective To explore the sequential effects of hypoxic exercising on miR-27/PPARγ and lipid metabolism target gene and protein expression levels in the obesity rats’ liver.Methods 13-week-old male diet-induced obesity rats were randomly divided into three groups (n＝10): normal oxygen concentration quiet group (N), hypoxia quiet group (H), hypoxic exercise group (HE). Exercise training on the horizontal animal treadmill for 1 h/d, 5 d/week for a total of 4 week, and the intensity of horizontal treadmill training was 20 m/min (hypoxic concentration was 13.6%). Comparison of the weights of perirenal fat and epididymal fat in rats across different groups and calculation of Lee’s index based on body weight and body length of rats in each group were done. And the serum concentrations of total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) levels were detected. RT-PCR and Western Blot were used to detect the levels of miR-27, PPARγ, CYP7A1 and CD36.Results Hypoxic exercise decreased the expression levels of miR-27 in the obese rats’ liver, however, the expression level of PPARγ was gradually increased. The expression levels of miR-27 in HE group were significantly lower than N group (P<0.05). The expression levels of PPARγ mRNA in N group were significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The protein expression of PPARγ protein in N group was significantly lower than that other groups (P<0.01). The expression of lipid metabolism-related genes and proteins increased in the obese rats’ liver. The expression of CYP7A1 mRNA in N group was significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The expression of CYP7A1 protein in the obese rats’ liver in N group was extremely lower than H group and HE group (P<0.01). The protein expression of CD36 in N group was significantly lower than that in HE group (P<0.05). Hypoxia exercise improved the related physiological and biochemical indexes of lipid metabolism disorder. The perirenal fat weight of obese rats in HE group was extremely lower than N group and H group (P<0.01), and the perirenal fat weight in N group was significantly higher than H group (P<0.05). The epididymal fat weight in N group was significantly higher than H group (P<0.05), and extremely higher than HE group (P<0.01). The Lee’s index in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TC in obese rats in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TG in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of LDL-C in N group was extremely higher than HE group (P<0.01). The serum concentration of HDL-C in N group was extremely lower than H group (P<0.01).Conclusion Hypoxia and hypoxia exercise may negatively regulate the levels of PPARγ by inhibiting miR-27 in the obese rats’ liver, thereby affecting the expression of downstream target genes CYP7A1 and CD36, and promoting cholesterol, fatty acid oxidation and HDL-C transport in the liver, and ultimately the lipid levels in obese rats were improved. The effect of hypoxia exercise on improving blood lipid is better than simple hypoxia intervention.]]> 2025/6/13 8:52:29 Objective As the central hub of the classical visual pathway, the primary visual cortex not only encodes and processes visual information but also establishes dense neural circuit connections with higher-order cognitive brain regions. Numerous studies have shown that 40 Hz flicker stimulation can induce γ oscillations in the brain and significantly improve learning and cognitive impairments in patients with neurodegenerative diseases. Moreover, flickering light phenomena naturally occur in daily environments. Given that the primary visual cortex serves as the brain’s first cortical hub for receiving visual input, it is essential to comprehensively understand how non-invasive light flicker stimulation modulates its information processing mechanisms. This study systematically investigates the effects of non-invasive light flicker stimulation at different frequencies on the functional properties of neurons in the primary visual cortex of adult mice, aiming to uncover how such stimulation modulates this region and, consequently, affects overall brain function.Methods Three groups of adult mice (approximately 12 weeks old) were exposed to light flicker stimulation at frequencies of 20 Hz, 40 Hz, and 60 Hz, respectively, for a duration of two months. A control group was exposed to the same light intensity without flickering. Following the stimulation period, in vivo multi-channel electrophysiological recordings were conducted. During these recordings, anesthetized mice were presented with various types of moving sinusoidal light gratings to assess the effects of different flicker frequencies on the functional properties of neurons in the primary visual cortex.Results The experimental results demonstrate that two months of light flicker stimulation at 20 Hz, 40 Hz, and 60 Hz enhances the orientation tuning capabilities of neurons in the primary visual cortex. Specifically, 40 Hz and 60 Hz stimulation improved contrast sensitivity, whereas 20 Hz had no significant effect. Further analysis revealed that all three frequencies reduced neuronal response variability (as measured by the Fano factor), increased the signal-to-noise ratio, and decreased noise correlation (r_sc) between neurons.Conclusion Non-invasive light flicker stimulation enhances orientation tuning (e.g., orientation bias index) and contrast sensitivity (e.g., contrast threshold and C₅₀) in neurons of the primary visual cortex. This enhancement is likely due to improved information processing efficiency, characterized by reduced neuronal variability and increased signal-to-noise ratio. These findings suggest that the primary visual cortex can achieve precise and efficient information encoding in complex lighting environments by selectively adapting to different flicker frequencies and optimizing receptive field properties. This study provides new experimental evidence on how various types of light flicker influence visual perception and offers insights into the mechanisms through which specific frequencies enhance brain function.]]> 2025/6/12 19:00:55 2025/6/12 18:30:47 Objective The primary objective of this study was to investigate the effects of carbohydrate intake order on post-exercise recovery and metabolic regulation under heat stress, particularly in models of exercise induced fatigue. Given the increasing significance of optimizing nutritional strategies to support performance in extreme environmental conditions, this study aimed to provide experimental evidence that contributes to a better understanding of how the sequence in which carbohydrates are consumed impacts exercise recovery, metabolic homeostasis, and fatigue alleviation in a high-temperature environment.Methods A mouse model of exercise-induced fatigue was established under high-temperature (35°C) to simulate heat stress. The subjects were divided into 3 distinct groups based on their carbohydrate intake order: the “mixed intake” group (HOT_MIX), where all macronutrients (carbohydrates, proteins, and fats) were consumed in a balanced ratio; the “carbohydrate-first intake” group (HOT_CHO), where carbohydrates were consumed first followed by other macronutrients; the “carbohydrate-later intake” group (HOT_PRO), where proteins and fats were consumed prior to carbohydrates. Each group underwent a 7 d intervention period with daily intake according to their designated group. Exercise performance was assessed using rotarod retention time test, and biomarkers of muscle damage, such as lactate dehydrogenase (LDH), creatine kinase (CK), lactate (LD), alanine aminotransferase (ALT), and non-esterified fatty acids (NEFA), were measured. Furthermore, targeted metabolomics analyses were conducted to investigate metabolic shifts in response to different dietary strategies, and KEGG pathway enrichment analysis was employed to explore the biological mechanisms underlying these changes.Results The findings demonstrated that the HOT_PRO group exhibited a significantly improved performance in the rotarod test, with a longer retention time compared to both the HOT_MIX and HOT_CHO groups (P<0.05). Additionally, this group showed significantly reduced levels of muscle damage markers such as LDH and CK, indicating that the carbohydrate-later intake strategy helped alleviate exercise-induced muscle injury. Metabolomic profiling of the HOT_PRO group showed marked increases in alanine, creatine, and flavin adenine dinucleotide (FAD), indicating shifts in amino acid metabolism and oxidative metabolism. Conversely, metabolites such as spermidine, cholesterol sulfate, cholesterol, and serine were significantly reduced in the HOT_PRO group, pointing to alterations in lipid and sterol metabolism. Further analysis of the differential metabolites revealed that these changes were primarily associated with key metabolic pathways, including glycine-serine-threonine metabolism, primary bile acid biosynthesis, taurine and hypotaurine metabolism, and steroid hormone biosynthesis. These pathways are essential for energy production, antioxidant defense, and muscle recovery, suggesting that the carbohydrate-later feeding strategy may promote metabolic homeostasis and improve exercise recovery by enhancing these critical metabolic processes.Conclusion The results of this study support the hypothesis that consuming carbohydrates after proteins and fats during exercise recovery enhances metabolic homeostasis and accelerates recovery under heat stress. This strategy effectively modulates energy, amino acid, and lipid-related pathways, which are crucial for improving endurance performance and mitigating fatigue in high-temperature environments. The findings suggest that carbohydrate-later intake could be a promising nutritional strategy for athletes and individuals exposed to heat during physical activity. Furthermore, the study provides valuable insights into how different nutrient timing strategies can impact exercise recovery and metabolic regulation, paving the way for more personalized and effective nutritional interventions in extreme environmental conditions.]]> 2025/6/12 9:32:01 2025/6/11 10:09:51 2025/6/5 15:59:15 2max, a significant exercise phenotype with heritability estimates ranging from 0.59 to 0.66, exhibits a negative correlation with the susceptibility to diabetes and cardiovascular disease. SNPs associated with VO₂max, such as variants in the FSHR gene, are positively linked to serum creatinine levels. Reduced creatinine levels have been associated with an elevated risk of T2DM. These findings suggest that creatinine serves as a potential marker of exercise metabolism. (4) Transcriptomic studies have elucidated the molecular mechanisms by which exercise modulates metabolites. Acute exercise induces rapid alterations in the expression profiles of 9 132 transcripts. Exercise elicits upregulation of genes involved in the fructose/mannose metabolic pathway (such as SORD, PFKFB3), suggesting these metabolites may serve as pivotal mediators in the beneficial effects of exercise on Parkinson’s disease. Altitude training enhances the expression of the PHOSPHO1 gene, which encodes an enzyme facilitating choline synthesis. Choline deficiency has been linked to insulin resistance. Choline supplementation has been shown to augment the effects of resistance training, underscoring the significance of choline as a key marker in exercise-mediated metabolic health promotion. (5) Proteomic analyses have unveiled the key mechanisms through which exercise modulates metabolism. Endurance training induces significant alterations in myofibrillar expression, with 237 slow muscles and 172 fast muscles proteins showing differential regulation, of which 65% are associated with metabolism, including ACSL1 and ECHS1. Various training modalities elicit distinct phosphorylation modifications, exemplified by the negative correlation between LDHA3 phosphorylation and lactate levels. Endurance training upregulates SLC25A15 expression in adipose tissue, enhancing arginine synthesis. The post-exercise elevation of plasma GPLD1 levels mimics the neuroprotective effects of exercise on the brain. These findings present novel targets for investigating exercise-related metabolic markers. The application of multi omics technologies has expedited the identification and mechanistic analysis of both established and novel sports-related metabolic markers like lactate. Integrated multi omics strategies (e.g., genome-metabolome) enable the simultaneous examination of metabolic markers and their regulatory mechanisms, facilitating the discovery of exercise-related genetic markers and pivotal regulatory proteins. However, challenges persist, including inadequate data integration and a lack of standardization. Future endeavors should focus on developing dynamic monitoring tools, integrating state-of-the-art approaches such as single-cell/spatial omics, and leveraging AI algorithms for optimized analysis to construct precise predictive models for maximizing health benefits in exercise.]]> 2025/6/5 15:34:15 Objective To explore the role and potential mechanism of circulating glutamate in enhancing insulin sensitivity by aerobic exercise. This research may provide a novel strategy for preventing metabolic diseases through precise exercise interventions.Methods To investigate the effects of elevated circulating glutamate on insulin sensitivity and its potential mechanisms, 18 male C57BL/6 mice aged 6 to 8 weeks were randomly divided into 3 groups: a control group (C), a group receiving 500 mg/kg glutamate supplementation (M), and a group receiving 1 000 mg/kg glutamate supplementation (H). The intervention lasted for 12 weeks, with treatments administered 6 d per week. Following the intervention, an insulin tolerance test (ITT) and a glucose tolerance test (GTT) were conducted. Circulating glutamate levels were measured using a commercial kit, and the activity of the skeletal muscle InsR/IRS1/PI3K/AKT signaling pathway was analyzed via Western blot. To further investigate the role of circulating glutamate in enhancing insulin sensitivity through aerobic exercise, 30 male C57BL/6 mice were randomly assigned to 3 groups: a control group (CS), an exercise intervention group (ES), and an exercise combined with glutamate supplementation group (EG). The ES group underwent treadmill-based aerobic exercise, while the EG group received glutamate supplementation at a dosage of 1 000 mg/kg in addition to aerobic exercise. The intervention lasted for 10 weeks, with sessions occurring 6 d per week, and the same procedures were followed afterward. To further elucidate the mechanism by which glutamate modulates the InsR/IRS1/PI3K/AKT signaling pathway, C2C12 myotubes were initially subjected to graded glutamate treatment (0, 0.5, 1, 3, 5, 10 mmol/L) to determine the optimal concentration for cellular intervention. Subsequently, the cells were divided into 3 groups: a control group (C), a glutamate intervention group (G), and a glutamate combined with MK801 (an NMDA receptor antagonist) intervention group (GK). The G group was treated with 5 mmol/L glutamate, while the GK group received 50 μmol/L MK801 in addition to 5 mmol/L glutamate. After 24 h of intervention, the activity of the InsR/IRS1/PI3K/AKT signaling pathway was analyzed using Western blot.Results Compared to the mice in group C, the circulating glutamate levels, the area under curve (AUC) of ITT, and the AUC of GTT in the mice of group H were significantly increased. Additionally, the expression levels of p-InsRβ, IRS1, p-AKT, and p-mTOR proteins in skeletal muscle were significantly downregulated. Compared to the mice in group CS, the circulating glutamate levels, the AUC of ITT, and the AUC of GTT in the mice of group ES were significantly reduced. Additionally, the expression levels of p-InsRβ, IRS1, p-AKT, and p-mTOR proteins in skeletal muscle of group ES mice were significantly upregulated. There were no significant changes observed in the mice of group EG. Compared to the cells in group 0 mmol/L, the expression levels of p-InsRβ, p-IRS1, p-PI3K, and p-AKT proteins in cells of group 5 mmol/L were significantly downregulated. Compared to the cells in group C, the expression levels of p-InsRβ, p-IRS1, p-PI3K, and p-AKT proteins in the cells of group G were significantly downregulated. No significant changes were observed in the cells of group GK.Conclusion Long-term aerobic exercise can improve insulin sensitivity by lowering circulating levels of glutamate. This effect may be associated with the upregulation of the InsR/IRS1/AKT signaling pathway activity in skeletal muscle. Furthermore, glutamate can weaken the activity of the InsR/IRS1/PI3K/AKT signaling pathway in skeletal muscle, potentially by binding to NMDAR expressed in skeletal muscle.]]> 2025/6/5 14:57:19 Objective The study explores the influence of voluntary wheel running on the behavioral abnormalities and the activation state of the hypothalamic-pituitary-adrenal (HPA) axis in autism spectrum disorder (ASD) rats through gut microbiota.Methods SD female rats were selected and administered either 400 mg/kg of valproic acid (VPA) solution or an equivalent volume of saline via intraperitoneal injection on day 12.5 of pregnancy. The resulting offspring were divided into 2 groups: the ASD model group (PASD, n=35) and the normal control group (PCON, n=16). Behavioral assessments, including the three-chamber social test, open field test, and Morris water maze, were conducted on postnatal day 23. After behavioral testing, 8 rats from each group (PCON, PASD) were randomly selected for serum analysis using enzyme-linked immunosorbent assay (ELISA) to measure corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) concentration, to evaluate the functional state of the HPA axis in rats. On postnatal day 28, the remaining 8 rats in the PCON group were designated as the control group (CON, n=8), and the remaining 27 rats in the PASD group were randomly divided into 4 groups: ASD non-intervention group (ASD, n=6), ASD exercise group (ASDE, n=8), ASD fecal microbiota transplantation group (FMT, n=8), and ASD sham fecal microbiota transplantation group (sFMT, n=5). The rats in the ASD group and the CON group were kept under standard conditions, while the rats in the ASDE group performed 6 weeks of voluntary wheel running intervention starting on postnatal day 28. The rats in the FMT group were gavaged daily from postnatal day 42 with 1 ml/100 g fresh fecal suspension from ASDE rats which had undergone exercise for 2 weeks, 5 d per week, continuing for 4 weeks. The sFMT group received an equivalent volume of saline. After the interventions were completed, behavioral assessments and HPA axis markers were measured for all groups.Results Before the intervention, the ASD model group exhibited significantly reduced social ability, social novelty preference, spontaneous activity, and exploratory interest, as well as impaired spatial learning, memory, and navigation abilities compared to the normal control group (P<0.05). Serum concentration of corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) in the PASD group were significantly higher than those in the PCON group (P<0.05). Following 6 weeks of voluntary wheel running, the ASDE group showed significant improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, spatial learning, memory, and navigation skills compared to the ASD group (P<0.05), with a significant decrease in serum CORT concentration (P<0.05), and a downward trend in CRH and ACTH concentration. After 4 weeks of fecal microbiota transplantation in the exercise group, the FMT group showed marked improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, as well as spatial learning, memory, and navigation abilities compared to both the ASD and sFMT groups (P<0.05). In addition, serum ACTH and CORT concentration were significantly reduced (P<0.05), and CRH concentration also showed a decreasing trend.Conclusion Exercise may improve ASD-related behaviors by suppressing the activation of the HPA axis, with the gut microbiota likely playing a crucial role in this process.]]> 2025/5/30 22:05:01 2025/5/30 16:32:29 2025/5/30 9:42:19 e.g., Ppargc-1α, Prdm16, Klf4, and Slc23a2) in offspring, thereby enhancing their capacity to resist metabolic disorders. Notably, the regulatory effects of maternal exercise extend beyond the gestational period. Postnatally, exercise-induced modifications in the bioactive components of breast milk and gut microbiota composition contribute to the sustained maintenance of metabolic homeostasis in offspring, establishing a continuum of metabolic protection from prenatal to postnatal stages. This review explores the potential of maternal combined nutrition-exercise interventions, suggesting that such strategies may synergistically enhance transgenerational health benefits through interactions within the metabolic-epigenetic network, thereby outperforming single interventions. Additionally, it examines current research limitations, including controversies surrounding transgenerational mechanisms, sex-specific responses, and undefined dynamic thresholds, while providing directions for future investigations. These findings pave the way for a theoretical foundation for early-life health interventions, potentially offering a more effective strategy for combatting intergenerational metabolic disorders.]]> 2025/5/30 9:40:17 Objective Repetitive transcranial magnetic stimulation (rTMS) has demonstrated efficacy in enhancing neurocognitive performance in Alzheimer’s disease (AD), but the neurobiological mechanisms linking synaptic pathology, neural oscillatory dynamics, and brain network reorganization remain unclear. This investigation seeks to systematically evaluate the therapeutic potential of rTMS as a non-invasive neuromodulatory intervention through a multimodal framework integrating clinical assessments, molecular profiling, and neurophysiological monitoring.Methods In this prospective double-blind trial, 12 AD patients underwent a 14-day protocol of 20 Hz rTMS, with comprehensive multimodal assessments performed pre- and post-intervention. Cognitive functioning was quantified using the mini-mental state examination (MMSE) and Montreal cognitive assessment (MOCA), while daily living capacities and neuropsychiatric profiles were respectively evaluated through the activities of daily living (ADL) scale and combined neuropsychiatric inventory (NPI)-Hamilton depression rating scale (HAMD). Peripheral blood biomarkers, specifically Aβ1-40 and phosphorylated tau (p-tau181), were analyzed to investigate the effects of rTMS on molecular metabolism. Spectral power analysis was employed to investigate rTMS-induced modulations of neural rhythms in AD patients, while brain network analyses incorporating topological properties were conducted to examine stimulus-driven network reorganization. Furthermore, systematic assessment of correlations between cognitive scale scores, blood biomarkers, and network characteristics was performed to elucidate cross-modal therapeutic associations.Results Clinically, MMSE and MOCA scores improved significantly (P<0.05). Biomarker showed that Aβ1-40 level increased (P<0.05), contrasting with p-tau181 reduction (P<0.05). Moreover, the levels of Aβ1-40 were positively correlated with MMSE and MOCA scores. Significant post-intervention alterations were observed in oscillatory power, with marked reductions in delta (P<0.05) and theta bands (P<0.05), contrasted by gamma band power elevation (P<0.05). No significant changes were observed in alpha and beta band electroencephalogram (EEG) powers (P>0.05). Network analysis revealed frequency-specific reorganization: clustering coefficients were significantly enhanced in delta, theta, and alpha bands (P<0.05), while global efficiency improvement was exclusively detected in the delta band (P<0.05). The alpha band demonstrated concurrent increases in average nodal degree (P<0.05) and characteristic path length reduction (P<0.05). Further research findings indicate that the changes in the clinical scale HAMD scores before and after rTMS stimulation are negatively correlated with the changes in the blood biomarkers Aβ1-40 and p-tau181. Additionally, the changes in the clinical scales MMSE and MoCA scores are negatively correlated with the changes in the node degree of the alpha frequency band and negatively correlated with the clustering coefficient of the delta frequency band. However, the changes in MMSE scores are positively correlated with the changes in global efficiency of both the delta and alpha frequency bands.Conclusion 20 Hz rTMS targeting dorsolateral prefrontal cortex (DLPFC) significantly improves cognitive function and enhances the metabolic clearance of β-amyloid and tau proteins in AD patients. This neurotherapeutic effect is mechanistically associated with rTMS-mediated frequency-selective neuromodulation, which enhances the connectivity of oscillatory networks through improved neuronal synchronization and optimized topological organization of functional brain networks. These findings not only support the efficacy of rTMS as an adjunctive therapy for AD but also underscore the importance of employing multiple assessment methods—including clinical scales, blood biomarkers, and EEG——in understanding and monitoring the progression of AD. This research provides a significant theoretical foundation and empirical evidence for further exploration of rTMS applications in AD treatment.]]> 2025/5/28 20:58:28 ATF3, PPARGC1A, and ANKRD1 are commonly upregulated. These genes are implicated in muscle stress response, metabolic regulation, and muscle adaptation, highlighting the shared molecular pathways activated by exercise across species. However, the study also uncovers substantial species-specific differences in gene expression, especially in chronic aerobic exercise, where the number of divergently regulated genes increases. These differences suggest that while some fundamental biological processes are conserved, the specific regulatory mechanisms and gene expression patterns can vary significantly between humans and mice. Functional enrichment analysis further reveals that conserved genes are involved in muscle development, inflammation regulation, and energy metabolism, while species-specific genes are associated with ion transport, extracellular matrix (ECM) organization, and muscle contraction, indicating the multifaceted impact of exercise on skeletal muscle function. The findings emphasize the importance of considering species-specific differences when interpreting results from animal models and translating them to human health applications. The study highlights the need for a more nuanced understanding of the molecular underpinnings of exercise-induced adaptations and underscores the value of cross-species comparative analyses in uncovering the evolutionary and functional basis of these responses. Future research should focus on integrating multi-omics data and expanding the analysis to include other tissues to provide a more comprehensive view of the systemic effects of exercise. Additionally, the development of species-specific gene editing models and the validation of key genes in exercise physiology will further enhance our understanding of the evolutionary logic behind exercise interventions. This study not only provides valuable insights into the molecular mechanisms of exercise-induced adaptations but also underscores the necessity of validating findings from animal models in human cohorts to ensure the reliability and applicability of translational research in exercise science. By addressing these aspects, the study aims to bridge the gap between basic research and clinical applications, ultimately contributing to the development of personalized exercise prescriptions and interventions that can effectively promote health and prevent diseases.]]> 2025/5/28 9:43:32 Objective To investigate the role of 4-week high-intensity interval training (HIIT) in modulating the metabolic homeostasis of the pyruvate-lactate axis in the hippocampus of rats with chronic unpredictable mild stress (CUMS) to improve their depressive-like behavior.Methods Forty-eight SPF-grade 8-week-old male SD rats were randomly divided into 4 groups: the normal quiet group (C), the CUMS quiet group (M), the normal exercise group (HC), and the CUMS exercise group (HM). The M and HM groups received 8 weeks of CUMS modeling, while the HC and HM groups were exposed to 4 weeks of HIIT starting from the 5th week (3 min (85%-90%) S_max+1 min (50%-55%) S_max, 3-5 cycles, S_max is the maximum movement speed). A lactate analyzer was used to detect the blood lactate concentration in the quiet state of rats in the HC and HM groups at week 4 and in the 0, 2, 4, 8, 12, and 24 h after exercise, as well as in the quiet state of rats in each group at week 8. Behavioral indexes such as sucrose preference rate, number of times of uprightness and number of traversing frames in the absenteeism experiment, and other behavioral indexes were used to assess the depressive-like behavior of the rats at week 4 and week 8. The rats were anesthetized on the next day after the behavioral test in week 8, and hippocampal tissues were taken for assay. LC-MS non-targeted metabolomics, target quantification, ELISA and Western blot were used to detect the changes in metabolite content, lactate and pyruvate concentration, the content of key metabolic enzymes in the pyruvate-lactate axis, and the protein expression levels of monocarboxylate transporters (MCTs).Results 4-week HIIT intervention significantly increased the sucrose preference rate, the number of uprights and the number of traversed frames in the absent field experiment in CUMS rats; non-targeted metabolomics assay found that 21 metabolites were significantly changed in group M compared to group C, and 14 and 11 differential metabolites were significantly dialed back in the HC and HM groups, respectively, after the 4-week HIIT intervention; the quantitative results of the targeting showed that, compared to group C, lactate concentration in the hippocampal tissues of M group, compared with group C, lactate concentration in hippocampal tissue was significantly reduced and pyruvate concentration was significantly increased, and 4-week HIIT intervention significantly increased the concentration of lactate and pyruvate in hippocampal tissue of HM group; the trend of changes in blood lactate concentration was consistent with the change in lactate concentration in hippocampal tissue; compared with group C, the LDHB content of group M was significantly increased, the content of PKM2 and PDH, as well as the protein expression level of MCT2 and MCT4 were significantly reduced. The 4-week HIIT intervention upregulated the PKM2 and PDH content as well as the protein expression levels of MCT2 and MCT4 in the HM group.Conclusion The 4-week HIIT intervention upregulated blood lactate concentration and PKM2 and PDH metabolizing enzymes in hippocampal tissues of CUMS rats, and upregulated the expression of MCT2 and MCT4 transport carrier proteins to promote central lactate uptake and utilization, which regulated metabolic homeostasis of the pyruvate-lactate axis and improved depressive-like behaviors.]]> 2025/5/26 11:23:41 + levels; moderate-intensity exercise is often accompanied by improvements in aerobic metabolism, such as fatty acid β-oxidation and TCA cycle, which modulate mitochondrial biogenesis. The above processes may affect the acylation status of relevant regulatory enzymes and functional proteins, thereby altering their function and activity and triggering signaling cascades to adapt to exercise’s metabolic demands and stresses. Exercise regulates the levels of acylation modifications of H3K9, H3K14, H3K18, and H3K23, which are involved in regulating the transcriptional expression of genes involved in oxidative stress, glycolysis, inflammation, and hypertrophic response by altering chromatin structure and function. Exercise can regulate the acylation modification of non-histone-specific sites in the cardiovascular system involved in mitochondrial function, glycolipid metabolism, fibrosis, protein synthesis, and other biological processes, and participates in the regulation of protein activity and function by altering the stability, localization, and interaction of proteins, and ultimately works together to achieve the improvement of cardiovascular phenotypes and biological functions. Exercise affects acyl donor concentration, acyltransferase, and deacetylase expression and activity by influencing acyl donor concentration, acyltransferase, and deacetylase. Exercise regulates the abundance of acyl donors such as acetyl coenzyme A, propionyl coenzyme A, butyryl coenzyme A, succinyl coenzyme A, and lactoyl coenzyme A by promoting glucose and lipid metabolism and improving intestinal bacterial flora, which in turn affects protein acylation modification, accelerates oxidative decarboxylation of pyruvic acid in the body, and activates the energy-sensing molecule, adenosine monophosphate-activated protein kinase (AMPK), to improve cardiovascular function. Exercise may affect protein acylation modifications in the cardiovascular system by regulating the activity and expression of adenoviral E1A binding protein of 300 kDa (p300)/cyclic adenosine monophosphate response element-binding protein (CBP), general control nonderepressible 5-related N-acetyltransferases (GNAT), and alanyl-transfer t-RNA synthetase (AARS), which in turn improves cardiovascular function. The relationship between exercise and cardiovascular deacetylases has attracted much attention, with SIRT1 and SIRT3 of the silence information regulator (SIRT) family of proteins being the most studied. Exercise may exert transient or long-term stable cardiovascular protective benefits by promoting the enzymatic activity and expression of SIRT1, SIRT3, and HDAC2, inhibiting the enzymatic activity and expression of HDAC4, and mediating the deacylation of metabolic regulation-related enzymes, cytokines, and molecules of signaling pathways. This review introduces the role of protein acylation modification on CVD and the effect of exercise-mediated protein acylation modification on CVD. Based on the existing studies, it analyzes the possible mechanisms of exercise-regulated protein acylation modification to improve CVD from the perspectives of acylation modification donors, acyltransferases, and deacetylases. Deciphering the regulation of cardiovascular protein acylation and modification by exercise and exploring the essential clues to improve cardiovascular disease can enrich the theoretical basis for exercise to promote cardiovascular health. However, it is also significant for developing new cardiovascular disease prevention and treatment targets.]]> 2025/5/26 11:15:17 2025/5/22 15:38:00 Objective To explore the molecular mechanism of aerobic exercise to improve hippocampal neuronal degeneration by regulating tryptophan metabolic pathway.Methods 60 SPF-grade C57BL/6J male mice were divided into a young group (2 months old, n=30) and a senile group (12 months old, n=30), and each group was further divided into a control group (C/A group, n=15) and an exercise group (CE/AE group, n=15). An aerobic exercise program was used for 8 weeks. Learning memory ability was assessed by Y-maze, and anxiety-depression-like behavior was detected by absent field experiment. Hippocampal Trp levels were measured by GC-MS. Nissl staining was used to observe the number and morphology of hippocampal neurons, and electron microscopy was used to detect synaptic ultrastructure. ELISA was used to detect the levels of hippocampal Trp, 5-HT, Kyn, KATs, KYNA, KMO, and QUIN; Western blot was used to analyze the activities of TPH2, IDO1, and TDO enzymes.Results Group A mice showed significant decrease in learning and memory ability (P<0.05) and increase in anxiety and depressive behaviors (P<0.05); all of AE group showed significant improvement (P<0.05). Hippocampal Trp levels decreased in group A (P<0.05) and increased in AE group (P<0.05). Nidus vesicles were reduced and synaptic structures were degraded in group A (P<0.05), and both were significantly improved in group AE (P<0.05). The levels of Trp, 5-HT, KATs, and KYNA were decreased (P<0.05) and the levels of Kyn, KMO, and QUIN were increased (P<0.05) in group A. The activity of TPH2 was decreased (P<0.05), and the activities of IDO1 and TDO were increased (P<0.05). The AE group showed the opposite trend.Conclusion The aging process significantly reduces the learning memory ability and increases the anxiety-depression-like behavior of mice, and leads to the reduction of the number of nidus vesicles and degenerative changes of synaptic structure in the hippocampus, whereas aerobic exercise not only effectively enhances the spatial learning memory ability and alleviates the anxiety-depression-like behavior of aging mice, but also improves the morphology and structure of neurons in hippocampal area, which may be achieved by the mechanism of regulating the tryptophan metabolic pathway.]]> 2025/5/22 14:33:39 Objective Based on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective.Methods According to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity.Results Compared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2.Conclusion Children with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.]]> 2025/5/22 13:37:22 in vivo. In contrast, organic fluorescent probes, including small molecules and polymers, demonstrate higher biocompatibility but are limited by shorter emission wavelengths, lower quantum yields, and reduced stability. Recently, gold clusters have emerged as a promising class of nanomaterials with potential applications in biocatalysis, fluorescence sensing, biological imaging, and more. Water-soluble gold clusters are particularly attractive as fluorescent probes due to their remarkable optical properties, including strong photoluminescence, large Stokes shifts, and excellent photostability. Furthermore, their outstanding biocompatibility—attributed to good aqueous stability, ultra-small hydrodynamic size, and high renal clearance efficiency—makes them especially suitable for biomedical applications. Gold clusters hold significant potential for NIR-II fluorescence imaging. Atomic-precision gold clusters, typically composed of tens to hundreds of gold atoms and measuring only a few nanometers in diameter, possess well-defined three-dimensional structures and clear spatial coordination. This atomic-level precision enables fine-tuned structural regulation, further enhancing their fluorescence properties. Variations in cluster size, surface ligands, and alloying elements can result in distinct physicochemical characteristics. The incorporation of different atoms can modulate the atomic and electronic structures of gold clusters, while diverse ligands can influence surface polarity and steric hindrance. As such, strategies like alloying and ligand engineering are effective in enhancing both fluorescence and catalytic performance, thereby meeting a broader range of clinical needs. In recent years, gold clusters have attracted growing attention in the biomedical field. Their application in NIR-II imaging has led to significant progress in vascular, organ, and tumor imaging. The resulting high-resolution, high signal-to-noise imaging provides powerful tools for clinical diagnostics. Moreover, biologically active gold clusters can aid in drug delivery and disease diagnosis and treatment, offering new opportunities for clinical therapeutics. Despite the notable achievements in fundamental research and clinical translation, further studies are required to address challenges related to the standardized synthesis and complex metabolic behavior of gold clusters. Resolving these issues will help accelerate their clinical adoption and broaden their biomedical applications.]]> 2025/5/21 7:16:57 Human Brain Mapping, shows a new function of the subcortical pathway involved in the fast processing of non-emotional object perception. Rapid object processing is a critical function of visual system. Topological perception theory proposes that the initial perception of objects begins with the extraction of topological property (TP). However, the mechanism of rapid TP processing remains unclear. The researchers investigated the subcortical mechanism of TP processing with transcranial magnetic stimulation (TMS). They find that a subcortical magnocellular pathway is responsible for the early processing of TP, and this subcortical processing of TP accelerates object recognition. Based on their findings, we propose a novel training approach called subcortical magnocellular pathway training (SMPT), aimed at improving the efficiency of the subcortical M pathway to restore visual and attentional functions in disorders associated with subcortical pathway dysfunction.]]> 2025/5/19 14:18:10 2025/5/19 12:44:59 2025/5/18 10:40:11 Myc, which drives the upregulation of polyamine biosynthetic enzymes, resulting in excessive intracellular polyamine production. Additionally, M2-polarized tumor-associated macrophages (M2-TAMs) contribute to polyamine accumulation by upregulating arginase-I (Arg-I), an enzyme that catalyzes the conversion of arginine into ornithine—a key precursor in the polyamine biosynthetic pathway. These combined sources lead to sustained polyamine enrichment in the TME, contributing to immune dysfunction and supporting tumor progression. Moreover, polyamines indirectly affect T cell activity by modulating macrophage polarization and directly suppress tumor cell apoptosis, further promoting an immunosuppressive environment. This review highlights the multifaceted roles of polyamines in modulating tumor-infiltrating T cell function, with a particular focus on their influence on CD4+ T cell differentiation, CD8+ T cell cytotoxicity, and immune checkpoint molecule expression. Recent studies suggest that polyamines suppress CD4+ T cell activation and differentiation by modulating the MAPK/ERK signaling pathway. Additionally, polyamines can impair T cell receptor (TCR) signaling and promote immune evasion through the upregulation of PD-L1 expression on tumor cells. These effects collectively contribute to weakened antitumor T cell responses. Polyamine blocking therapy (PBT), which primarily targets polyamine biosynthesis and transport, has emerged as a novel adjunctive immunotherapeutic strategy in cancer treatment. By reducing polyamine levels in the TME, PBT restores T cell effector functions and alleviates immunosuppression. Notably, studies have demonstrated that combining PBT with ICIs produces synergistic antitumor effects and may overcome resistance to ICI monotherapy. Although research has revealed the inhibitory effects of polyamines on T cell immune function, the underlying regulatory mechanisms remain to be fully elucidated. Moreover, due to compensatory mechanisms employed by tumor cells to maintain polyamine homeostasis, multi-targeted approaches may be necessary to achieve safe and effective therapeutic outcomes. Future PBT strategies may benefit from the integration of multi-omics technologies and the development of nanocarrier-based drug delivery systems, which could collectively enhance their specificity, efficacy, and applicability in cancer immunotherapy. This review systematically elucidates the immunomodulatory effects of polyamines on T cell function within the TME and provides theoretical support and novel insights for the advancement of tumor immunotherapeutic strategies.]]> 2025/5/15 10:41:55 via metabolic reprogramming, highlighting key molecular mechanisms, immune-metabolic signaling axes, and the authors’ academic perspective on the integrated “exercise-metabolism-immunity” network. In the domain of glucose metabolism, regular exercise improves insulin sensitivity and reduces hyperglycemia, thereby attenuating glucose toxicity-induced immune dysfunction. It suppresses the formation of advanced glycation end-products (AGEs) and interrupts the AGEs-RAGE-inflammation positive feedback loop in innate and adaptive immune cells. Importantly, exercise-induced lactate, traditionally viewed as a metabolic byproduct, is now recognized as an active immunomodulatory molecule. At high concentrations, lactate can suppress immune function through pH-mediated effects and GPR81 receptor activation. At physiological levels, it supports regulatory T cell survival, promotes macrophage M2 polarization, and modulates gene expression via histone lactylation. Additionally, key metabolic regulators such as AMPK and mTOR coordinate immune cell energy balance and phenotype; exercise activates the AMPK-mTOR axis to favor anti-inflammatory immune cell profiles. Simultaneously, hypoxia-inducible factor-1α (HIF-1α) is transiently activated during exercise, driving glycolytic reprogramming in T cells and macrophages, and shaping the immune landscape. In lipid metabolism, exercise alleviates adipose tissue inflammation by reducing fat mass and reshaping the immune microenvironment. It promotes the polarization of adipose tissue macrophages from a pro-inflammatory M1 phenotype to an anti-inflammatory M2 phenotype. Moreover, exercise alters the secretion profile of adipokines—raising adiponectin levels while reducing leptin and resistin—thereby influencing systemic immune balance. At the circulatory level, exercise improves lipid profiles by lowering pro-inflammatory free fatty acids (particularly saturated fatty acids) and triglycerides, while enhancing high-density lipoprotein (HDL) function, which has immunoregulatory properties such as endotoxin neutralization and macrophage cholesterol efflux. Regarding protein metabolism, exercise triggers the expression of heat shock proteins (HSPs) that act as intracellular chaperones and extracellular immune signals. Exercise also promotes the secretion of myokines (e.g., IL-6, IL-15, irisin, FGF21) from skeletal muscle, which modulate immune responses, facilitate T cell and macrophage function, and support immunological memory. Furthermore, exercise reshapes amino acid metabolism, particularly of glutamine, arginine, and branched-chain amino acids (BCAAs), thereby influencing immune cell proliferation, biosynthesis, and signaling. Leucine-mTORC1 signaling plays a key role in T cell fate, while arginine metabolism governs macrophage polarization and T cell activation. In summary, this review underscores the complex, bidirectional relationship between exercise and immune function, orchestrated through metabolic remodeling. Future research should focus on causative links among specific metabolites, signaling pathways, and immune phenotypes, as well as explore the epigenetic consequences of exercise-induced metabolic shifts. This integrated perspective advances understanding of exercise as a non-pharmacological intervention for immune regulation and offers theoretical foundations for individualized exercise prescriptions in health and disease contexts.]]> 2025/5/15 8:22:02 via the microbiota-gut-brain (MGB) axis. Depression is characterized by gut microbiota alterations, including reduced alpha and beta diversity, depletion of beneficial taxa (e.g., Bifidobacterium, Lactobacillus, and Coprococcus), and overgrowth of pro-inflammatory and pathogenic bacteria (e.g., Morganella, Klebsiella, and Enterobacteriaceae). Metagenomic analyses reveal disrupted metabolic functions in depressive patients, such as diminished synthesis of short-chain fatty acids (SCFAs), impaired tryptophan metabolism, and dysregulated bile acid conversion. For instance, Bifidobacterium longum deficiency correlates with reduced synthesis of neuroactive metabolites like homovanillic acid, while decreased Coprococcus abundance limits butyrate production, exacerbating neuroinflammation. Furthermore, elevated levels of indole derivatives from Clostridium species inhibit serotonin (5-HT) synthesis, contributing to depressive phenotypes. These dysbiotic profiles disrupt the MGB axis, triggering systemic inflammation, neurotransmitter imbalances, and hypothalamic-pituitary-adrenal (HPA) axis hyperactivity. Exercise exerts profound effects on gut microbiota composition, diversity, and metabolic activity. Longitudinal studies demonstrate that sustained aerobic exercise increases alpha diversity, enriches SCFA-producing genera (e.g., Faecalibacterium prausnitzii, Roseburia, and Akkermansia), and suppresses pathobionts (e.g., Desulfovibrio and Streptococcus). For example, a meta-analysis of 25 trials involving 1 044 participants confirmed that exercise enhances microbial richness and restores the Firmicutes/Bacteroidetes ratio, a biomarker of metabolic health. Notably, endurance training promotes Veillonella proliferation, which converts lactate into propionate, enhancing energy metabolism and delaying fatigue. Exercise also strengthens intestinal barrier integrity by upregulating tight junction proteins (e.g., ZO-1, occludin), thereby reducing lipopolysaccharide (LPS) translocation and systemic inflammation. However, excessive exercise may paradoxically diminish microbial diversity and exacerbate intestinal permeability, highlighting the importance of moderate intensity and duration. Exercise ameliorates depressive symptoms through multifaceted interactions with the gut microbiota, primarily via 4 interconnected pathways. First, exercise mitigates neuroinflammation by elevating anti-inflammatory SCFAs such as butyrate, which suppresses NF-κB signaling to attenuate microglial activation and oxidative stress in the hippocampus. Animal studies demonstrate that voluntary wheel running reduces hippocampal TNF-α and IL-17 levels in stress-induced depression models, while fecal microbiota transplantation (FMT) from exercised mice reverses depressive behaviors by modulating the TLR4/NF-κB pathway. Second, exercise regulates neurotransmitter dynamics by enriching GABA-producing Lactobacillus and Bifidobacterium, thereby counteracting neuronal hyperexcitability. Aerobic exercise also enhances the abundance of Lactobacillus plantarum and Streptococcus thermophilus, which facilitate 5-HT and dopamine synthesis. Clinical trials reveal that 12 weeks of moderate exercise increases fecal Coprococcus and Blautia abundance, correlating with improved 5-HT bioavailability and reduced depression scores. Third, exercise normalizes HPA axis hyperactivity by reducing cortisol levels and restoring glucocorticoid receptor sensitivity. In rodent models, chronic stress-induced corticosterone elevation is reversed by probiotic supplementation (e.g., Lactobacillus), which enhances endocannabinoid signaling and hippocampal neurogenesis. Furthermore, exercise upregulates brain-derived neurotrophic factor (BDNF) via microbial metabolites like butyrate, promoting histone acetylation and synaptic plasticity. FMT experiments confirm that exercise-induced microbiota elevates prefrontal BDNF expression, reversing stress-induced neuronal atrophy. Fourth, exercise reshapes microbial metabolic crosstalk, diverting tryptophan metabolism toward 5-HT synthesis instead of neurotoxic kynurenine derivatives. Butyrate inhibits indoleamine 2,3-dioxygenase (IDO), a key enzyme in the kynurenine pathway linked to depression. Concurrently, exercise-induced Akkermansia enrichment enhances mucin production, fortifies the gut barrier, and reduces LPS-driven neuroinflammation. Collectively, these mechanisms underscore exercise as a potent modulator of the microbiota-gut-brain axis, offering a holistic approach to alleviating depression through microbial and neurophysiological synergy. Current evidence supports exercise as a potent adjunct therapy for depression, with personalized regimens (e.g., aerobic, resistance, or yoga) tailored to individual microbiota profiles. However, challenges remain in optimizing exercise prescriptions (intensity, duration, and type) and integrating them with probiotics, prebiotics, or FMT for synergistic effects. Future research should prioritize large-scale randomized controlled trials to validate causality, multi-omics approaches to decipher MGB axis dynamics, and mechanistic studies exploring microbial metabolites as therapeutic targets. The authors advocate for a paradigm shift toward microbiota-centric interventions, emphasizing the bidirectional relationship between physical activity and gut ecosystem resilience in mental health management. In conclusion, this review underscores exercise as a multifaceted modulator of the gut-brain axis, offering novel insights into non-pharmacological strategies for depression. By bridging microbial ecology, neuroimmunology, and exercise physiology, this work lays a foundation for precision medicine approaches targeting the gut microbiota to alleviate depressive disorders.]]> 2025/5/14 14:35:28 2025/5/11 14:09:41 via the “lactate shuttle” mechanism and act as an endogenous signaling molecule, exerting diverse biological functions in CNSDs. Lactylation, a novel type of post-translational modification that uses lactate and lysine residues as substrates, plays a critical role in regulating gene transcription, immune responses, and cellular metabolism under both physiological and pathological conditions. Studies have confirmed that lactate participates in the onset and progression of CNSDs through both lactate metabolism and lactylation. In AD, lactate promotes Aβ plaque formation and impairs synaptic plasticity and cognitive function. Lactylation contributes to AD pathogenesis by regulating Aβ accumulation, Tau protein phosphorylation, neuroinflammation, pyroptosis, and ferroptosis. In ischemic stroke (IS), lactate suppresses neuroinflammation and alleviates ischemic injury. Lactylation is involved in the regulation of neuroinflammation, endothelial cell apoptosis, and neuronal ferroptosis, contributing to IS progression. In SCI, lactate promotes the phenotypic transition of astrocytes from the A1 to the A2 type, thereby mitigating neural injury. Lactylation alleviates neurological dysfunction by modulating neuroinflammation, axonal regeneration, mitochondrial function, and microglial proliferation. In glioblastoma (GBM), lactate promotes M2 polarization of microglia, facilitating tumor cell growth and dissemination. Lactylation further accelerates GBM progression by enhancing tumor cell migration, proliferation, immune evasion, and drug resistance. These findings suggest that lactate may serve as a potential therapeutic target for the prevention and treatment of CNSDs. However, its precise role in CNSDs remains unclear, and the specific mechanisms by which lactate metabolism and lactylation influence disease progression warrant further investigation. Moreover, studies have confirmed that exercise, as a key non-pharmacological intervention, holds great promise in the prevention, treatment, and rehabilitation of CNSDs. Specifically, exercise can regulate lactate metabolism and lactylation, which in turn suppresses neuroinflammation, enhances synaptic plasticity, promotes neurogenesis and angiogenesis, improves mitochondrial function in the hippocampus, and facilitates the release of neuroprotective factors, ultimately contributing to the improvement of CNSDs. This review summarizes the roles of lactate metabolism and lactylation in CNSDs, as well as the potential mechanisms by which exercise regulates lactate metabolism and lactylation to improve CNSDs, providing a theoretical basis for the benefits of exercise on brain health.]]> 2025/5/10 3:40:34 2025/5/6 18:10:28 2025/4/30 11:30:47 Objective The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions.Methods This retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), K-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: Area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP).Results The evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification.Conclusion The 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists" diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.]]> 2025/4/30 8:46:05 Objective Repetitive transcranial magnetic stimulation (rTMS), a non-invasive brain stimulation technique, offers a non-pharmacological therapeutic option for the management of Alzheimer’s disease (AD). Studies have demonstrated that ferroptosis plays a pivotal role in the pathological onset and progression of AD, and the inhibition of neuronal ferroptosis can significantly ameliorate cognitive impairments associated with AD. The imbalance of calcium ion (Ca²⁺) homeostasis is intimately associated with the pathology of AD and serves as a catalyst for the induction of ferroptosis through various pathways. This study is designed to investigate whether rTMS can ameliorate AD by inhibiting neuronal ferroptosis or maintaining calcium homeostasis, ultimately establishing a theoretical and experimental framework for the utilization of rTMS in AD treatment.Methods APP/PS1 AD mice were subjected to both 0.5 Hz low-frequency and 20 Hz high-frequency rTMS treatments, and the efficacy of these treatments was evaluated using novel object recognition and Morris water maze tests. ELISA was employed to quantify the levels of glutathione (GSH), malondialdehyde (MDA), superoxide dismutase (SOD), Fe²⁺ within the hippocampi of mice from each group. HT-22 cells were induced to undergo ferroptosis via Erastin treatment, and subsequent to high- and low-frequency magnetic stimulation, cell viability was assessed using CCK-8 assay, while intracellular calcium ion concentration fluctuations were monitored using Fluo-4 AM.Results The findings revealed that, when compared to normal mice, AD mice displayed a notable decline in cognitive function, accompanied by a substantial increase in ferroptosis levels and intracellular calcium ion concentrations. Both high-frequency and low-frequency applications of rTMS were found to significantly ameliorate cognitive impairments in AD mice, while also effectively mitigating the abnormal augmentation of neuronal ferroptosis and intracellular calcium ion levels.Conclusion The present study underscores that both high-frequency and low-frequency rTMS exhibit efficacy in alleviating cognitive dysfunction in AD mice, potentially through the modulation of ferroptosis and intracellular calcium ion homeostasis.]]> 2025/4/27 11:21:06 Objective This study aimed to explore the effects of aerobic exercise on cognitive function in aging mice and to elucidate the underlying molecular mechanisms by which aerobic exercise ameliorates cognitive decline through the regulation of gut microbiota-metabolite network. By providing novel insights into the interplay between exercise, gut microbiota, and cognitive health, this research seeks to offer a robust theoretical foundation for developing anti-aging strategies and personalized exercise interventions targeting aging-related cognitive dysfunction.Methods Using naturally aged C57BL/6 mice as the experimental model, this study employed a multi-omics approach combining 16S rRNA sequencing and wide-targeted metabolomics analysis. A total of 18 mice were divided into 3 groups: young control (YC, 4-month-old), old control (OC, 21-month-old), and old+exercise (OE, 21-month-old with 12 weeks of moderate-intensity treadmill training) groups. Behavioral assessments, including the Morris water maze (MWM) test, were conducted to evaluate cognitive function. Histopathological examinations of brain tissue sections provided morphological evidence of neuronal changes. Fecal samples were collected for gut microbiota and metabolite profiling via 16S rRNA sequencing and ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-QTOF-MS). Data were analyzed using a combination of statistical and bioinformatics tools to identify differentially abundant microbial taxa and metabolites and to construct interaction networks between them.Results Behavioral tests revealed that 12 weeks of aerobic exercise significantly improved spatial learning and memory capacity of aged mice, as evidenced by reduced escape latency and increased target area exploration and platform crossings in the MWM. Histopathological analysis demonstrated that exercise mitigated aging-related neuronal damage in the hippocampus, enhancing neuronal density and morphology. 16S rRNA sequencing indicated that exercise increased gut microbiota α-diversity and enriched beneficial bacterial genera, including Bifidobacterium, Parabacteroides, and Rikenella. Metabolomics analysis identified 32 differentially regulated metabolites between OC and OE groups, with 94 up-regulated and 30 down-regulated in the OE group when compared with OC group. These metabolites were primarily involved in energy metabolism reprogramming (e.g., L-homocitrulline), antioxidant defense (e.g., L-carnosine), neuroprotection (e.g., lithocholic acid), and DNA repair (e.g., ADP-ribose). Network analysis further revealed strong positive correlations between specific bacteria and metabolites, such as Parabacteroides with ADP-ribose and Bifidobacterium with lithocholic acid, suggesting potential neuroprotective pathways mediated by the gut microbiota-metabolite axis.Conclusion This study provides comprehensive evidence that aerobic exercise elicits cognitive benefits in aging mice by modulating the gut microbiota-metabolite network. These findings highlight three key mechanisms: (1) the proliferation of beneficial gut bacteria enhances metabolic reprogramming to boost DNA repair pathways; (2) elevated neuroinflammation-inhibiting factors reduce neurodegenerative changes; and (3) enhanced antioxidant defenses maintain neuronal homeostasis. These results underscore the critical role of the “microbiota-metabolite-brain” axis in mediating the cognitive benefits of aerobic exercise. This study not only advances our understanding of the gut-brain axis in aging but also offers a scientific basis for developing personalized exercise and probiotic-based interventions targeting aging-related cognitive decline. Future research should further validate these mechanisms in non-human primates and human clinical trials to establish the translational potential of exercise-induced gut microbiota-metabolite modulation for combating neurodegenerative diseases.]]> 2025/4/26 17:39:22 Objective This study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms.Methods A total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1).Results Compared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery.Conclusion Four weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.]]> 2025/4/26 17:37:12 2025/4/26 17:35:18 2025/4/17 14:50:37 2025/4/16 16:32:44 Objective This paper proposes a novel real-time bedside pulmonary ventilation monitoring method for the diagnosis of chronic obstructive pulmonary disease (COPD), based on electrical impedance tomography (EIT). Four indicators—center of ventilation (CoV), global inhomogeneity index (GI), regional ventilation delay inhomogeneity (RVDI), and the ratio of forced expiratory volume in one second to forced vital capacity (FEV₁/FVC)—are calculated to enable the spatiotemporal assessment of COPD.Methods A simulation of the respiratory cycles of COPD patients was first conducted, revealing significant differences in certain indicators compared to healthy individuals. The effectiveness of these indicators was then validated through experiments. A total of 93 subjects underwent multiple pulmonary function tests (PFTs) alongside simultaneous EIT measurements. Ventilation heterogeneity under different breathing patterns—including forced exhalation, forced inhalation, and quiet tidal breathing—was compared. EIT images and related indicators were analyzed to distinguish healthy individuals across different age groups from COPD patients.Results Simulation results demonstrated significant differences in CoV, GI, FEV₁/FVC, and RVDI between COPD patients and healthy individuals. Experimental findings indicated that, in terms of spatial heterogeneity, the GI values of COPD patients were significantly higher than those of the other two groups, while no significant differences were observed among healthy individuals. Regarding temporal heterogeneity, COPD patients exhibited significantly higher RVDI values than the other groups during both quiet breathing and forced inhalation. Moreover, during forced exhalation, the distribution of FEV₁/FVC values further highlighted the temporal delay heterogeneity of regional lung function in COPD patients, distinguishing them from healthy individuals of various ages.Conclusion EIT technology effectively reveals the spatiotemporal heterogeneity of regional lung function, which holds great promise for the diagnosis and management of COPD.]]> 2025/4/15 13:48:12 Objective The nucleolar protein PES1 (Pescadillo homolog 1) plays critical roles in ribosome biogenesis and cell cycle regulation, yet its involvement in cellular senescence remains poorly understood. This study aimed to comprehensively investigate the functional consequences of PES1 suppression in cellular senescence and elucidate the molecular mechanisms underlying its regulatory role.Methods Initially, we assessed PES1 expression patterns in two distinct senescence models: replicative senescent mouse embryonic fibroblasts (MEFs) and doxorubicin-induced senescent human hepatocellular carcinoma HepG2 cells. Subsequently, PES1 expression was specifically downregulated using siRNA-mediated knockdown in these cell lines as well as additional relevant cell types. Cellular proliferation and senescence were assessed by EdU incorporation and SA-β-gal staining assays, respectively. The expression of senescence-associated proteins (p53, p21, and Rb) and SASP factors (IL-6, IL-1β, and IL-8) were analyzed by Western blot or qPCR. Furthermore, Northern blot and immunofluorescence were employed to evaluate pre-rRNA processing and nucleolar morphology.Results PES1 expression was significantly downregulated in senescent MEFs and HepG2 cells. PES1 knockdown resulted in decreased EdU-positive cells and increased SA-β-gal-positive cells, indicating proliferation inhibition and senescence induction. Mechanistically, PES1 suppression activated the p53-p21 pathway without affecting Rb expression, while upregulating IL-6, IL-1β, and IL-8 production. Notably, PES1 depletion impaired pre-rRNA maturation and induced nucleolar stress, as evidenced by aberrant nucleolar morphology.Conclusion Our findings demonstrate that PES1 deficiency triggers nucleolar stress and promotes p53-dependent (but Rb-independent) cellular senescence, highlighting its crucial role in maintaining nucleolar homeostasis and regulating senescence-associated pathways.]]> 2025/4/14 13:49:51 in vitro. Compared with traditional two-dimensional (2D) neural cell culture systems, brain organoids demonstrate a significantly enhanced capacity to faithfully replicate key aspects of the human brain, including cellular diversity, 3D tissue architecture, and functional neural network activity. Importantly, they also overcome the inherent limitations of animal models, which often differ from human biology in terms of genetic background and brain structure. Owing to these advantages, brain organoids have emerged as a powerful tool for recapitulating human-specific developmental processes, disease mechanisms, and pharmacological responses, thereby providing an indispensable model for advancing our understanding of human brain development and neurological disorders. Despite their considerable potential, conventional brain organoids face a critical limitation: the absence of a functional vascular system. This deficiency results in inadequate oxygen and nutrient delivery to the core regions of the organoid, ultimately constraining long-term viability and functional maturation. Moreover, the lack of early neurovascular interactions prevents these models from fully recapitulating the human brain microenvironment. In recent years, the introduction of vascularization strategies has significantly enhanced the physiological relevance of brain organoid models. Researchers have successfully developed various vascularized brain organoid models through multiple innovative approaches. Biological methods, for example, involve co-culturing brain organoids with endothelial cells to induce the formation of static vascular networks. Alternatively, co-differentiation strategies direct both mesodermal and ectodermal lineages to generate vascularized tissues, while fusion techniques combine pre-formed vascular organoids with brain organoids. Beyond biological approaches, tissue engineering techniques have played a pivotal role in promoting vascularization. Microfluidic systems enable the creation of dynamic, perfusable vascular networks that mimic blood flow, while 3D printing technologies allow for the precise fabrication of artificial vascular scaffolds tailored to the organoid’s architecture. Additionally, in vivo transplantation strategies facilitate the formation of functional, blood-perfused vascular networks through host-derived vascular infiltration. The incorporation of vascularization has yielded multiple benefits for brain organoid models. It alleviates hypoxia within the organoid core, thereby improving cell survival and supporting long-term culture and maturation. Furthermore, vascularized organoids recapitulate critical features of the neurovascular unit, including the early structural and functional characteristics of the blood-brain barrier. These advancements have established vascularized brain organoids as a highly relevant platform for studying neurovascular disorders, drug screening, and other applications. However, achieving sustained, long-term functional perfusion while preserving vascular structural integrity and promoting vascular maturation remains a major challenge in the field. In this review, we systematically outline the key stages of human neurovascular development and provide a comprehensive analysis of the various strategies employed to construct vascularized brain organoids. We further present a detailed comparative assessment of different vascularization techniques, highlighting their respective strengths and limitations. Additionally, we summarize the principal challenges currently faced in brain organoid vascularization and discuss the specific technical obstacles that persist. Finally, in the outlook section, we elaborate on the promising applications of vascularized brain organoids in disease modeling and drug testing, address the main controversies and unresolved questions in the field, and propose potential directions for future research.]]> 2025/4/11 10:03:06 Objective This study proposes a fatigue detection method for police extreme training based on electrical impedance imaging technology to prevent muscle damage caused by overstrain during intense physical training.Methods First, based on the mechanism of human anaerobic exercise, lactic acid was identified as a key indicator of muscle fatigue, demonstrating that measuring muscle lactic acid effectively reflects localized fatigue. Second, a numerical simulation model of the human calf was established, and the internal tissue structure of the calf was analyzed to determine the stages of lactic acid diffusion and change. Then, the reconstruction performance of electrical impedance tomography (EIT) in visualizing lactic acid diffusion was compared under three different regularization algorithms, and the most suitable regularization method for subsequent experiments was selected. Finally, a controlled experiment simulating lactate diffusion was conducted to verify the imaging capability of the TK-Noser regularization algorithm in complex imaging fields.Results Simulation results indicate that both the TK-Noser and TV regularization algorithms achieve superior imaging performance, effectively suppressing artifacts in the visualization of lactic acid diffusion inside muscle tissue. The average ICC/RMSE values reached 0.754/0.303 and 0.772/0.320, respectively, while the average SSIM/PSNR values were 0.677/61 dB and 0.488/60 dB, respectively. In the lactate diffusion experiment, the average ICC/SSIM of the EIT reconstruction results based on the TK-Noser regularization algorithm reached 0.701/0.572, respectively. Additionally, compared with the TV regularization algorithm, the TK-Noser algorithm better preserved the shape and structural integrity of the imaging target, with an SSIM value 21.2% higher than that of the TV regularization results. This enhancement ensures the stability of the experimental results and significantly improves the capability of electrical impedance imaging technology in monitoring lactate diffusion within complex fields.Conclusion The proposed method offers real-time convenience and non-invasiveness, making it a promising approach for dynamic monitoring of muscle lactate levels in police officers during extreme physical training.]]> 2025/4/11 8:39:58 in vivo tracking of cellular processes has opened new avenues for early and accurate disease detection. In the realm of disease treatment, quantum dots serve as versatile nanocarriers for targeted drug delivery. Their nanoscale size and surface modifiability allow them to transport therapeutic agents to specific sites, improving drug bioavailability and reducing off-target effects. Additionally, quantum dots have shown promise as photosensitizers in photodynamic therapy (PDT). When exposed to specific wavelengths of light, quantum dots interact with oxygen molecules to generate reactive oxygen species (ROS), which can selectively destroy malignant cells, vascular lesions, and microbial infections. This targeted approach minimizes damage to healthy tissues, making PDT a promising strategy for treating complex diseases. Despite these advancements, the translation of quantum dots from research to clinical application faces significant challenges. Issues such as toxicity, stability, and scalability in industrial production remain major obstacles. The potential toxicity of quantum dots, particularly to vital organs, has raised concerns about their long-term safety. Researchers are actively exploring strategies to mitigate these risks, including surface modification, coating, and encapsulation techniques, which can enhance biocompatibility and reduce toxicity. Furthermore, improving the stability of quantum dots under physiological conditions is crucial for their effective use in biomedical applications. Advances in surface engineering and the development of novel encapsulation methods have shown promise in addressing these stability concerns. Industrial production of quantum dots also presents challenges, particularly in achieving consistent quality and scalability. Recent innovations in synthesis techniques and manufacturing processes are paving the way for large-scale production, which is essential for their widespread adoption in clinical settings. This article provides an in-depth analysis of the latest research progress in quantum dot applications, including drug delivery, bioimaging, biosensing, photodynamic therapy, and pathogen detection. It also discusses the multiple barriers hindering their clinical use and explores potential solutions to overcome these challenges. The review concludes with a forward-looking perspective on the future directions of quantum dot research, emphasizing the need for further studies on toxicity mitigation, stability enhancement, and scalable production. By addressing these critical issues, quantum dots can realize their full potential as transformative tools in disease diagnosis and treatment, ultimately improving patient outcomes and advancing biomedical science.]]> 2025/4/11 8:37:28 2025/4/11 8:33:53 via the CTT domain. This, in turn, mediates interferon secretion and promotes the activation and migration of dendritic cells, T cells, and natural killer cells. Additionally, STING is able to activate nuclear factor-κB (NF-κB), thereby initiating the synthesis and release of inflammatory factors and augmenting the body’s immune response. In recent years, an increasing number of studies have disclosed the non-classical functions of STING. It has been found that STING plays a significant role in organelle regulation. STING is not only implicated in the quality control systems of organelles such as mitochondria and endoplasmic reticulum but also modulates the functions of these organelles. For instance, STING can influence key aspects of organelle quality control, including mitochondrial fission and fusion, mitophagy, and endoplasmic reticulum stress. This regulatory effect is not unidirectional; rather, it is subject to organelle feedback regulation, thereby forming a complex interaction network. STING also exerts a monitoring function on the nucleus and ribosomes, which further enhances the role of the cGAS-STING pathway in infection-related immunity. The interaction mechanism between STING and organelles is highly intricate, which, within a certain range, enhances the cells’ capacity to respond to external stimuli and survival pressure. However, once the balance of this interaction is disrupted, it may result in the occurrence and development of inflammatory diseases, such as aseptic inflammation and autoimmune diseases. Excessive activation or malfunction of STING may trigger an over-exuberant inflammatory response, which subsequently leads to tissue damage and pathological states. This review recapitulates the recent interactions between STING and diverse organelles, encompassing its multifarious functions in antiviral, antitumor, organelle regulation, and immune regulation. These investigations not only deepen the comprehension of molecular mechanisms underlying STING but also offer novel concepts for the exploration of human disease pathogenesis and the development of potential treatment strategies. In the future, with further probing into STING function and its regulatory mechanisms, it is anticipated to pioneer new approaches for the treatment of complex diseases such as inflammatory diseases and tumors.]]> 2025/4/10 10:49:54 etc.), and signaling pathways such as Wnt/β-catenin and PEAK1. eIF5A can influence tumor cell proliferation, invasion, and metastasis by regulating EMT-related signaling pathways. The known signaling pathways through which eIF5A regulates EMT include the canonical Smad signaling pathway and non-canonical pathways such as Rho/Rac1, Twist, STAT3, and MAT1. Additionally, certain miRNA family members, such as miR-30b, miR-599, and miR-203, can bind to the 3"-UTR of eIF5A2, inhibiting its expression and subsequently suppressing the EMT process in cancer cells, including gastric cancer and colorectal cancer. GC7, an inhibitor targeting the key enzyme DHPS involved in eIF5A modification, has been shown to reverse the EMT mechanism in oral squamous cell carcinoma, lung cancer, and breast cancer by regulating cytokine-mediated signaling pathways, including HIF-1α, STAT3/c-MYC, and Twist. However, to date, no inhibitors directly targeting eIF5A have been developed. In recent years, the mechanism of eIF5A activation catalyzed by DHPS and DOHH has become increasingly clear. As the only protein involved in lysine deoxyhydroxymethylation, DHPS may play a more critical role than eIF5A in the overall signal transduction process. Through in-depth analysis of the DHPS protein structure and its active site, researchers have shifted their approach to DHPS inhibitor development from substrate analog inhibitors (such as GC7, CNI-1493, DHSI-15, etc.) to allosteric inhibitors (11g, 26d, 8m, GL-1, etc.). GC7 is not suitable for clinical trials due to its lack of specificity and low bioavailability, and the therapeutic potential of novel allosteric inhibitors has yet to be clarified. Therefore, there is a significant gap in the development of covalent drugs targeting DHPS for cancer treatment in clinical settings. This paper reviews the research progress on eIF5A in regulating EMT, focusing on the molecular mechanisms by which eIF5A influences tumor cell invasion and migration. It also discusses the characteristics and current limitations of inhibitors targeting the hypusine pathway, aiming to provide insights for studying tumor metastasis mechanisms and drug discovery.]]> 2025/4/9 15:11:00 2025/4/4 12:56:17 via leukemia inhibitory factor (LIF), and releasing tumor necrosis factor-stimulated gene-6 (TSG-6) to inhibit excessive microglial activation. However, in chronic neurodegenerative diseases, the phenotypic transformation of astrocytes contributes to microenvironmental deterioration. The secretion of chondroitin sulfate proteoglycans (CSPGs) inhibits OPC migration via the RhoA/ROCK pathway, while the persistent release of reactive oxygen species (ROS) leads to mitochondrial dysfunction and the upregulation of complement C3-mediated synaptic pruning. This article reviews the mechanisms by which astrocytes regulate the development and regeneration of myelin sheaths in the CNS, with a focus on analyzing the multifaceted roles of astrocytes in this process. It emphasizes that astrocytes serve as central hubs in maintaining myelin homeostasis by establishing a metabolic microenvironment and signaling network, aiming to provide new therapeutic strategies for neurodegenerative diseases such as multiple sclerosis.]]> 2025/4/4 12:46:28 2025/4/4 12:43:16 via passive/active targeting. Smart DDSs responsive to PCs-specific stimuli enable extracellular matrix degradation, tumor-associated fibroblasts reprogramming, and vascular normalization to enhance drug accessibility. Last but not least, carrier systems loaded with myeloid-derived suppressor cell inhibitors or T cell activators can reverse immunosuppression and potentiate immunotherapy efficacy. Advanced platforms co-deliver chemotherapeutics with immunomodulators, gene-editing tools, or sonodynamic agents to achieve synergistic antitumor effects. These platforms aim to address critical challenges in PCs treatment, such as enhancing drug bioavailability, overcoming stromal barriers, reprogramming immunosuppressive niches, and achieving multi-mechanistic antitumor effects. This article provides a systematic summary and prospective analysis of the current development status, latest cutting-edge advances, opportunities, and challenges of the above-mentioned drug delivery systems in the field of PCs therapy.]]> 2025/4/3 15:04:39 Objective Functional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients.Methods A cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity.Results The data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode.Conclusion Both dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.]]> 2025/4/1 10:51:16 2025/3/26 10:58:10 2025/3/25 11:49:34 via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.]]> 2025/3/24 16:23:17 via retrograde communication. When mitochondrial dysfunction or environmental stress compromises cellular demands, mitochondria issue retrograde signals to solicit nuclear support. Studies demonstrate that mitochondrial retrograde signaling pathways operate in pathological contexts such as oxidative stress, electron transport chain (ETC) impairment, apoptosis, autophagy, vascular tension, and inflammatory responses. Mitochondria-related diseases exhibit marked heterogeneity but invariably result in energy deficits, preferentially affecting high-energy-demand tissues like muscles and the nervous system. Consequently, mitochondrial dysfunction underlies myopathies, neurodegenerative disorders, metabolic diseases, and malignancies. Dysregulated retrograde signaling triggers proliferative and metabolic reprogramming, driving pathological cascades. Mitochondrial retrograde signaling critically influences tumorigenesis and progression. Tumor cells with mitochondrial dysfunction exhibit compensatory upregulation of mitochondrial biogenesis, excessive superoxide production, and ETC overload, collectively promoting metastatic tumor development. Recent studies reveal that mitochondrial retrograde signaling—mediated by altered metabolite levels or stress signals—induces epigenetic modifications and is intricately linked to tumor initiation, malignant progression, and therapeutic resistance. For instance, mitochondrial dysfunction promotes oncogenesis through mechanisms such as epigenetic dysregulation, accumulation of mitochondrial metabolic intermediates, and mitochondrial DNA (mtDNA) release, which activates the cytosolic cGAS-STING signaling pathway. In normal cells, miR-663 mediates mitochondrion-to-nucleus retrograde signaling under reactive oxygen species (ROS) regulation. Mitochondria modulate miR-663 promoter methylation, which governs the expression and supercomplex stability of nuclear-encoded oxidative phosphorylation (OXPHOS) subunits and assembly factors. However, dysfunctional mitochondria induce oxidative stress, elevate methyltransferase activity, and cause miR-663 promoter hypermethylation, suppressing miR-663 expression. Mitochondrial dysfunction also triggers retrograde signaling in primary mitochondrial diseases and contributes to neurodegenerative disorders such as Parkinson’s disease (PD) and Alzheimer’s disease (AD). Current therapeutic strategies targeting mitochondria in neurological diseases focus on 5 main approaches: alleviating oxidative stress, inhibiting mitochondrial fission, enhancing mitochondrial biogenesis, mitochondrial protection, and insulin sensitization. In AD patients, mitochondrial morphological abnormalities and enzymatic defects, such as reduced pyruvate dehydrogenase and α-ketoglutarate dehydrogenase activity, are observed. Platelets and brains of AD patients exhibit diminished cytochrome c oxidase (COX) activity, correlating with mitochondrial dysfunction. To model AD-associated mitochondrial pathology, researchers employ cybrid technology, transferring mtDNA from AD patients into enucleated cells. These cybrids recapitulate AD-related mitochondrial phenotypes, including reduced COX activity, elevated ROS production, oxidative stress markers, disrupted calcium homeostasis, activated stress signaling pathways, diminished mitochondrial membrane potential, apoptotic pathway activation, and increased Aβ42 levels. Furthermore, studies indicate that Aβ aggregates in AD and α-synuclein aggregates in PD trigger mtDNA release from damaged microglial mitochondria, activating the cGAS-STING pathway. This induces a reactive microglial transcriptional state, exacerbating neurodegeneration and cognitive decline. Targeting the cGAS-STING pathway may yield novel therapeutics for neurodegenerative diseases like AD, though translation from bench to bedside remains challenging. Such research not only deepens our understanding of disease mechanisms but also informs future therapeutic strategies. Investigating the triggers, core molecular pathways, and regulatory networks of mitochondrial retrograde signaling advances our comprehension of intracellular communication and unveils novel pathogenic mechanisms underlying malignancies, neurodegenerative diseases, and type 2 diabetes mellitus. This review summarizes established mitochondrial-nuclear retrograde signaling axes, their roles in interorganellar crosstalk, and pathological consequences of dysregulated communication. Targeted modulation of key molecules and proteins within these signaling networks may provide innovative therapeutic avenues for these diseases.]]> 2025/3/21 11:59:34 2025/3/18 20:58:19 2025/3/10 10:57:36 Caenorhabditis elegans, serving as the primary ATP supplier for cell division and differentiation while also acting as a key regulator of zinc ion homeostasis, membrane dynamics, and apoptotic signaling. This review systematically summarizes the essential mitochondrial mechanisms at different stages of sperm development, highlighting their multifaceted contributions beyond energy metabolism. Mitochondria are crucial for maintaining the health and stability of the gonads by regulating key apoptotic execution proteins that facilitate the proper elimination of damaged or unnecessary germ cells. Additionally, mitochondria dynamically adjust their energy supply to meet the metabolic demands of different stages of germline development. During early spermatogenesis, mitochondria provide ATP to fuel mitotic and meiotic divisions, support cellular differentiation, and regulate H⁺ and Zn²⁺ exchange to maintain cytoplasmic homeostasis, thereby ensuring the proper maturation and functionality of sperm cells. As spermatogenesis progresses, mitochondria participate in processing and sorting essential sperm proteins, such as major sperm protein (MSP), and contribute to the formation of membranous organelles (MOs), which are critical for subsequent activation events. During sperm activation, mitochondria play a dual role in ensuring a successful transition from immotile spermatids to fully functional spermatozoa. First, they provide ATP to facilitate pseudopod formation, MO fusion, and ion channel regulation, all of which are essential for sperm motility and fertilization potential. Second, mitochondria regulate the quality and quantity of functional mitochondria within sperm cells through mitopherogenesis—a recently discovered process in which mitochondrial vesicles are selectively released, ensuring that only healthy mitochondria are retained. This quality-control mechanism optimizes mitochondrial function, which is crucial for sustaining sperm motility and longevity. Beyond their traditional role in energy metabolism, mitochondria may also contribute to protein synthesis during spermatogenesis and activation. Recent evidence suggests that mitochondrial ribosomes actively translate specific proteins required for sperm function, challenging the long-standing belief that spermatozoa do not engage in de novo protein synthesis after differentiation. This emerging perspective raises important questions about the role of mitochondria in regulating sperm activation at the molecular level, particularly in modulating oxidative phosphorylation (OXPHOS) protein composition to optimize ATP production. In summary, mitochondria serve as both the central energy hub and a crucial regulatory factor in sperm activation, metabolic homeostasis, and reproductive success. Their involvement extends beyond ATP generation to include apoptotic regulation, ion homeostasis, vesicle-mediated mitochondrial quality control, and potential contributions to protein synthesis. Understanding these mitochondrial functions in C. elegans not only deepens our knowledge of nematode reproductive biology, but also provides valuable insights into broader mechanisms governing mitochondrial regulation in germline cells across species. These findings open new avenues for future research into the interplay between mitochondria, energy metabolism, and sperm function, with potential implications for reproductive health and fertility studies.]]> 2025/3/7 16:40:58 2025/3/7 15:03:45 via the nuclear factor κB (NF-κB) pathway, thereby contributing to the pathogenesis of T2DM. Peripheral 5-hydroxytryptamine (5-HT), primarily synthesized by enterochromaffin (EC) cells in the gut, interacts with 5-hydroxytryptamine receptors (5-HTRs) in key insulin-target tissues, including the liver, adipose tissue, and skeletal muscle. This interaction influences hepatic gluconeogenesis, fat mobilization, and the browning of white adipose tissue. Elevated peripheral 5-HT levels may disrupt glucose and lipid metabolism, thereby contributing to the onset and progression of T2DM. Within mitochondria, 5-HT undergoes degradation and inactivation through the enzymatic action of monoamine oxidase A (MAO-A), leading to the generation of reactive oxygen species (ROS). Excessive ROS production and accumulation can induce oxidative stress, which may further contribute to the pathogenesis of T2DM. Platelets serve as the primary reservoir for 5-HT in the bloodstream. The activation of the TLR4 signaling pathway on the platelet surface, coupled with reduced expression of the 5-HT transporter on the cell membrane, leads to elevated serum 5-HT levels, potentially accelerating the progression of T2DM. Therefore, inhibition of TLR4 and reduction of peripheral 5-HT levels could represent promising therapeutic strategies for T2DM. This review explores the synthesis, transport, and metabolism of peripheral 5-HT, as well as its role in TLR4-mediated T2DM, with the aim of providing novel insights into the clinical diagnosis, treatment, and evaluation of T2DM.]]> 2025/3/5 11:36:35 2025/3/5 11:34:41 Objective Neuroinflammation plays a crucial role in both the onset and progression of ischemic stroke, exerting a significant impact on the recovery of the central nervous system. Excessive neuroinflammation can lead to secondary neuronal damage, further exacerbating brain injury and impairing functional recovery. As a result, effectively modulating and reducing neuroinflammation in the brain has become a key therapeutic strategy for improving outcomes in ischemic stroke patients. Among various approaches, targeting immune regulation to control inflammation has gained increasing attention. This study aims to investigate the role of in vitro induced regulatory T cells (Treg cells) in suppressing neuroinflammation after ischemic stroke, as well as their potential therapeutic effects. By exploring the mechanisms through which Tregs exert their immunomodulatory functions, this research is expected to provide new insights into stroke treatment strategies.Methods Naive CD4⁺ T cells were isolated from mouse spleens using a negative selection method to ensure high purity, and then they were induced in vitro to differentiate into Treg cells by adding specific cytokines. The anti-inflammatory effects and therapeutic potential of Treg cells transplantation in a mouse model of ischemic stroke was evaluated. In the middle cerebral artery occlusion (MCAO) model, after Treg cells transplantation, their ability to successfully migrate to the infarcted brain region and their impact on neuroinflammation levels were examined. To further investigate the role of Treg cells in stroke recovery, the changes in cytokine expression and their effects on immune cell interactions was analyzed. Additionally, infarct size and behavioral scores were measured to assess the neuroprotective effects of Treg cells. By integrating multiple indicators, the comprehensive evaluation of potential benefits of Treg cells in the treatment of ischemic stroke was performed.Results Treg cells significantly regulated the expression levels of both pro-inflammatory and anti-inflammatory cytokines in vitro and in vivo, effectively balancing the immune response and suppressing excessive inflammation. Additionally, Treg cells inhibited the activation and activity of inflammatory cells, thereby reducing neuroinflammation. In the MCAO mouse model, Treg cells were observed to accumulate in the infarcted brain region, where they significantly reduced the infarct size, demonstrating their neuroprotective effects. Furthermore, Treg cell therapy notably improved behavioral scores, suggesting its role in promoting functional recovery, and increased the survival rate of ischemic stroke mice, highlighting its potential as a promising therapeutic strategy for stroke treatment.Conclusion In vitro induced Treg cells can effectively suppress neuroinflammation caused by ischemic stroke, demonstrating promising clinical application potential. By regulating the balance between pro-inflammatory and anti-inflammatory cytokines, Treg cells can inhibit immune responses in the nervous system, thereby reducing neuronal damage. Additionally, they can modulate the immune microenvironment, suppress the activation of inflammatory cells, and promote tissue repair. The therapeutic effects of Treg cells also include enhancing post-stroke recovery, improving behavioral outcomes, and increasing the survival rate of ischemic stroke mice. With their ability to suppress neuroinflammation, Treg cell therapy provides a novel and effective strategy for the treatment of ischemic stroke, offering broad application prospects in clinical immunotherapy and regenerative medicine.]]> 2025/2/28 16:13:08 Objective The central symptom of Parkinson’s disease (PD) is impaired motor function. Beta-band electrical activity in the motor network of the basal ganglia is closely related to motor function. In this study, we combined scalp electroencephalography (EEG), brain functional network, and clinical scales to investigate the effects of beta burst-period neural electrical activity on brain functional network characteristics, which may serve as a reference for clinical diagnosis and treatment.Methods Thirteen PD patients were included in the PD group, and 13 healthy subjects were included in the healthy control group. Resting-state EEG data were collected from both groups, and beta burst and non-burst periods were extracted. A phase synchronization network was constructed using weighted phase lag indices, and the topological feature parameters of phase synchronization network were compared between the two groups across different periods and four frequency bands. Additionally, the correlation between changes in network characteristics and clinical symptoms was analyzed.Results During the beta burst period, the topological characteristic parameters of phase synchronization network in all four frequency bands were significantly higher in PD patients compared to healthy controls. The average clustering coefficient of the phase synchronization network in the beta band during the beta burst period was negatively correlated with UPDRS-III scores. In the low gamma band during the non-burst period, the average clustering coefficient of phase synchronization network was positively correlated with UPDRS and UPDRS-III scores, while UPDRS-III scores were positively correlated with global efficiency and average degree.Conclusion The brain functional network features of PD patients were significantly enhanced during the beta burst period. Moreover, the beta-band brain functional network characteristics during the beta burst period were negatively correlated with clinical scale scores, whereas low gamma-band functional network features during the non-burst period were positively correlated with clinical scale scores. These findings indicate that motor function impairment in PD patients is associated with the beta burst period. This study provides valuable insights for the diagnosis of PD.]]> 2025/2/28 11:13:03 Bacteroides, Prevotella, and Firmicutes, including short-chain fatty acids, 5-hydroxytryptamine, γ-aminobutyric acid, and bile acids, are closely linked to reproductive function. As reproductive diseases develop, intestinal immune function typically undergoes changes, and the expression levels of immune-related factors, such as Toll-like receptors and inflammatory cytokines (including IL-6, TNF-α, and TGF-β), also vary. The gut microbiota and its metabolites influence reproductive hormones such as estrogen, luteinizing hormone, and testosterone, thereby affecting folliculogenesis and spermatogenesis. Additionally, the metabolism and absorption of vitamins can also impact spermatogenesis through the gut-testis axis. As the relationship between the gut microbiota and reproductive diseases becomes clearer, targeted regulation of the gut microbiota can be employed to address reproductive system issues in both humans and animals. This article discusses the regulation of the gut microbiota and intestinal immune function through microecological preparations, fecal microbiota transplantation, and drug therapy to treat reproductive diseases. Microbial preparations and drug therapy can help maintain the intestinal barrier and reduce chronic inflammation. Fecal microbiota transplantation involves transferring feces from healthy individuals into the recipient’s intestine, enhancing mucosal integrity and increasing microbial diversity. This article also delves into the underlying mechanisms by which the gut microbiota influences reproductive capacity through the gut-gonadal axis and explores the latest research in diagnosing and treating reproductive diseases using gut microbiota. The goal is to restore reproductive capacity by targeting the regulation of the gut microbiota. While the gut microbiota holds promise as a therapeutic target for reproductive diseases, several challenges remain. First, research on the association between gut microbiota and reproductive diseases is insufficient to establish a clear causal relationship, which is essential for proposing effective therapeutic methods targeting the gut microbiota. Second, although gut microbiota metabolites can influence lipid, glucose, and hormone synthesis and metabolism via various signaling pathways—thereby indirectly affecting ovarian and testicular function—more in-depth research is required to understand the direct effects of these metabolites on germ cells or granulosa cells. Lastly, the specific efficacy of gut microbiota in treating reproductive diseases is influenced by multiple factors, necessitating further mechanistic research and clinical studies to validate and optimize treatment regimens.]]> 2025/2/28 11:03:22 Objective The rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data.Methods The proposed method comprises two key components: dielectric property dataset construction and Backpropagation (BP) Neural Network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training.Results Through comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—Support Vector Machines (SVM) and K-Nearest Neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R2 value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit.Conclusion This study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.]]> 2025/2/27 16:40:06 Bacillus cereus, Listeria monocytogenes, and methicillin-resistant Staphylococcus aureus (MRSA), the bactericidal effects are primarily mediated by endogenous porphyrins (e.g., protoporphyrin III, coproporphyrin III, and uroporphyrin III), which exhibit strong absorption peaks between 400-430 nm. Upon irradiation, these porphyrins are photoexcited to generate cytotoxic reactive oxygen species (ROS), including singlet oxygen, hydroxyl radicals, and superoxide anions, which collectively induce oxidative damage to cellular components. Early studies by Endarko et al. revealed that (405±5) nm blue light at 185 J/cm2 effectively inactivated L. monocytogenes without exogenous photosensitizers, supporting the hypothesis of intrinsic photosensitizer involvement. Subsequent work by Masson-Meyers et al. demonstrated that 405 nm light at 121 J/cm2 suppressed MRSA growth by activating endogenous porphyrins, leading to ROS accumulation. Kim et al. further elucidated that ROS generated under 405 nm irradiation directly interact with unsaturated fatty acids in bacterial membranes, initiating lipid peroxidation. This process disrupts membrane fluidity, compromises structural integrity, and impairs membrane-bound proteins, ultimately causing cell death. In contrast, Gram-negative bacteria such as Salmonella, Escherichia coli, Helicobacter pylori, Pseudomonas aeruginosa, and Acinetobacter baumannii exhibit more complex inactivation pathways. While endogenous porphyrins remain central to ROS generation, studies reveal additional photodynamic contributors, including flavins (e.g., riboflavin) and bacterial pigments. For instance, H. pylori naturally accumulates protoporphyrin and coproporphyrin mixtures, enabling efficient 405 nm light-mediated inactivation without antibiotic resistance concerns. Kim et al. demonstrated that 405 nm light at 288 J/cm2 inactivates Salmonella by inducing genomic DNA oxidation (e.g., 8-hydroxy-deoxyguanosine formation) and disrupting membrane functions, particularly efflux pumps and glucose uptake systems. Huang et al. highlighted the enhanced efficacy of pulsed 405 nm light over continuous irradiation for E. coli, attributing this to increased membrane damage and optimized ROS generation through frequency-dependent photodynamic effects. Environmental factors such as temperature, pH, and osmotic stress further modulate susceptibility, sublethal stress conditions (e.g., high salinity or acidic environments) weaken bacterial membranes, rendering cells more vulnerable to subsequent ROS-mediated damage. The 405 nm blue light inactivates drug-resistant Pseudomonas aeruginosa through endogenous porphyrins, pyocyanin, and pyoverdine, with the inactivation efficacy influenced by bacterial growth phase and culture medium composition. Intriguingly, repeated 405 nm exposure (20 cycles) failed to induce resistance in A. baumannii, with transient tolerance linked to transient overexpression of antioxidant enzymes (e.g., superoxide dismutase) or stress-response genes (e.g., oxyR). For Gram-positive bacteria, porphyrin abundance dictates sensitivity, whereas in Gram-negative species, membrane architecture and accessory pigments modulate outcomes. Critically, ROS-mediated damage is nonspecific, targeting DNA, proteins, and lipids simultaneously, thereby minimizing resistance evolution. The 405 nm blue light technology, as a non-chemical sterilization method, shows promise in medical and food industries. It enhances infection control through photodynamic therapy and disinfection, synergizing with red light for anti-inflammatory treatments (e.g., acne). In food processing, it effectively inactivates pathogens (e.g., E. coli, S. aureus) without altering food quality. Despite efficacy against multidrug-resistant A. baumannii, challenges include device standardization, limited penetration in complex materials, and optimization of photosensitizers/light parameters. Interdisciplinary research is needed to address these limitations and scale applications in healthcare, food safety, and environmental decontamination.]]> 2025/2/27 11:26:21 2025/2/21 22:40:04 Objective Non-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques.Methods In this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day.Results Using one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG.Conclusion HRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.]]> 2025/2/21 22:36:16 in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.]]> 2025/2/19 17:29:46 e.g., Bcl-2 and Mcl-1) and enhances host antiviral immunity by regulating the NF-κB and interferon signaling pathways. Moreover, ATG12 deficiency can lead to mitochondrial biogenesis impairment, energy metabolism disorders, and substrate-dependent metabolic shifts, underscoring its pivotal role in cellular metabolic homeostasis. At the disease level, dysregulation of ATG12 expression is closely linked to tumorigenesis and cancer progression. By modulating the dynamic balance between autophagy and apoptosis, ATG12 influences cancer cell proliferation, metastasis, and chemoresistance. Notably, ATG12 is abnormally overexpressed in multiple cancers, including breast, liver, and gastric cancer, highlighting its potential as a therapeutic target. Furthermore, in neurodegenerative diseases such as Parkinson’s disease, ATG12 mitigates protein toxicity by enhancing mitochondrial autophagy. In cardiovascular diseases, it alleviates ischemia-reperfusion injury by regulating cardiomyocyte autophagy and apoptosis, demonstrating its broad regulatory role across various pathological conditions. Genetic studies further underscore the clinical significance of ATG12. Polymorphisms in the ATG12 gene (e.g., rs26537 and rs26538) have been significantly associated with the risk of head and neck squamous cell carcinoma, hepatocellular carcinoma, and atrophic gastritis. Notably, the risk allele of rs26537 enhances ATG12 promoter activity, leading to its overexpression and promoting tumorigenesis. These findings provide a molecular basis for individualized risk assessment and targeted interventions based on ATG12 genotype. Despite significant progress, many aspects of ATG12 biology remain unclear. The precise regulatory mechanisms of its post-translational modifications (e.g., ubiquitination and acetylation) are yet to be fully elucidated. Additionally, the molecular pathways underlying its non-canonical functions, such as metabolic regulation and immune modulation, require further investigation. Moreover, the functional heterogeneity of ATG12 in different tumor microenvironments and its role in drug resistance warrant in-depth exploration. Future research should integrate advanced technologies such as cryo-electron microscopy, single-cell sequencing, and organoid models to decipher the intricate regulatory network of ATG12. Additionally, developing small-molecule inhibitors or gene-editing tools targeting its protein interaction interfaces (e.g., the ATG12-ATG3 binding domain) may help overcome current therapeutic challenges. Through interdisciplinary collaboration and clinical translation, ATG12 holds promise as a next-generation molecular target for precision intervention in autophagy-related diseases. This review summarizes the structure and function of ATG12, its role in autophagy initiation, its physiological functions, and its involvement in disease pathogenesis. Furthermore, it discusses future research directions and potential challenges, emphasizing ATG12’s potential as a biomarker and therapeutic target in autophagy-related diseases.]]> 2025/2/17 15:49:15 Objective Bola-like short peptides exhibit novel self-assembly properties due to the formation of peptide dimers via hydrogen bonding interactions between their C-terminals. In this configuration, hydrophilic amino acids are distributed at both terminals, making these peptides behave similarly to Bola peptides. The electrostatic repulsive interactions arising from the hydrophilic amino acids at each terminal can be neutralized, thereby greatly promoting the lateral association of β-sheets. Consequently, assemblies with significantly larger widths are typically the dominant nanostructures for Bola-like peptides. To investigate the effect of hydrophilic amino acids on the self-assembly behavior of Bola-like peptides, the peptides Ac-RI₃-CONH₂ and Ac-HI₃-CONH₂ were designed and synthesized using the Bola-like peptide Ac-KI₃-CONH₂ as a template. Their self-assembly behavior was systematically examined.Methods Atomic force microscopy (AFM) and transmission electron microscopy (TEM) were employed to characterize the morphology and size of the assemblies. The secondary structures of the assemblies were analyzed using circular dichroism (CD) and Fourier transform infrared (FTIR) spectroscopy. Small-angle neutron scattering (SANS) was used to obtain detailed structural information at a short-length scale. Based on these experimental results, the effects of hydrophilic amino acids on the self-assembly behavior of Bola-like short peptides were systematically analyzed, and the underlying formation mechanism was explored.Results The aggregation process primarily involved three steps. First, peptide dimers were formed through hydrogen bonding interactions between their C-terminals. Within these dimers, the hydrophilic amino acids K, R, and H were positioned at both terminals, enabling the peptides to self-assemble in a manner similar to Bola peptides. Next, β-sheets were formed via hydrogen bonding interactions along the peptide backbone. Finally, self-assemblies were generated through the lateral association of β-sheets. The results demonstrated that both Ac-KI₃-CONH₂ and Ac-RI₃-CONH₂ could self-assemble into double-layer nanotubes with diameters of approximately 200 nm. These nanotubes were formed by the edge fusion of helical ribbons, which initially emerged from twisted ribbons. Notably, the primary assemblies of these peptides exhibited opposite chirality: nanofibers formed by Ac-KI₃-CONH₂ displayed left-handed chirality, whereas those formed by Ac-RI₃-CONH₂ exhibited right-handed chirality. This reversal in torsional direction was primarily attributed to the different abilities of K and R to form hydrogen bonds with water. In contrast, Ac-HI₃-CONH₂ formed narrower twisted ribbons with a significantly reduced width of approximately 30 nm, which was attributed to the strong steric hindrance caused by the imidazole rings. The multilayer height of these ribbons was mainly due to the unique structure of the imidazole rings, which can function as both hydrogen bond donors and acceptors, thereby promoting aggregate growth in the vertical direction.Conclusion The final morphology of the self-assemblies resulted from a delicate balance of various non-covalent interactions. By altering the types of hydrophilic amino acid residues in Bola-like short peptides, the relative strength of non-covalent interactions that drive assembly formation can be effectively regulated, allowing precise control over the morphology and chirality of the assemblies. This study provides a simple and effective approach for constructing diverse self-assemblies and lays a theoretical foundation for the development of functional biomaterials.]]> 2025/2/14 16:06:13 Objective Hepatocyte nuclear factor 4-alpha (HNF4A) is a critical transcription factor in the liver and pancreas. Dysfunctions of HNF4A lead to maturity onset diabetes of the young 1 (MODY1). Notably, MODY1 patients with HNF4A pathogenic mutations exhibit decreased responses to arginine and reduced plasma triglyceride levels, but the mechanisms remain unclear. This study aims to investigate the potential target genes transcriptionally regulated by HNF4A and explore its role in these metabolic pathways.Methods A stable 293T cell line expressing the HNF1A reporter was overexpressed with HNF4A. RNA sequencing (RNA-seq) was performed to analyze transcriptional differences. Transcription factor binding site prediction was then conducted to identify HNF4A binding motifs in the promoter regions of relevant target genes.Results RNA-seq results revealed a significant upregulation of transmembrane 4 L six family member 5 (TM4SF5) mRNA in HNF4A-overexpressing cells. Transcription factor binding predictions suggested the presence of five potential HNF4A binding motifs in the TM4SF5 promoter. Finally, we confirmed that the DR1 site in the -57 to -48 region of the TM4SF5 promoter is the key binding motif for HNF4A.Conclusion This study identified TM4SF5 as a target gene of HNF4A and determined the key binding motif involved in its regulation. Given the role of TM4SF5 as an arginine sensor in mTOR signaling activation and triglyceride secretion, which closely aligns with phenotypes observed in MODY1 patients, our findings provide novel insights into the possible mechanisms by which HNF4A regulates triglyceride secretion in the liver and arginine-stimulated insulin secretion in the pancreas.]]> 2025/2/12 15:44:52 Clock, Bmal1, Per and Cry. These genes control the expression of downstream effectors involved in cell cycle regulation, DNA repair, oxidative stress response and inflammatory pathways. By understanding how these mechanisms operate in healthy and diseased states, we can discover new insights into the temporal dynamics of skin regeneration. In addition, by exploring the therapeutic potential of circadian biology in enhancing skin repair and regeneration, strategies such as topical medications that can be applied in a time-limited manner, phototherapy that is synchronized with circadian rhythms, and pharmacological modulation of clock genes are expected to optimize clinical outcomes. Interventions based on the skin’s natural rhythms can provide a personalized and efficient approach to promote skin regeneration and recovery. This review not only introduces the important role of circadian rhythms in skin biology, but also provides a new idea for future innovative therapies and regenerative medicine based on circadian rhythms.]]> 2025/1/22 19:55:54 2025/1/21 16:40:43 2025/1/21 10:36:23 2025/1/20 11:20:27 Objective This study sought to investigate the impact of exosomes derived from LoVo cells (LoVo-Exos) in colorectal cancer (CRC) on tumor angiogenesis, as well as to elucidate the potential molecular mechanisms underlying their pro-angiogenic effects.Methods LoVo-Exos were isolated via ultracentrifugation, and their internalization into recipient human umbilical vein endothelial cells (HUVECs) was visualized using confocal microscopy. The influence of LoVo-Exos on angiogenesis was assessed through an in vitro tube formation assay. Additionally, the pro-angiogenic effects of LoVo-Exos were evaluated in vivo using a matrix gluing assay in mice. To investigate the molecular mechanisms through which LoVo-Exos facilitate angiogenesis, Western blot analysis was employed to examine the transfer of pEGFR by LoVo-Exos into recipient cells. Both Western blot and ELISA were utilized to assess the expression levels of key signaling proteins within the EGFR-ERK pathway, as well as the expression of downstream angiogenic core molecules. Furthermore, the impact of EGFR knockdown and ERK inhibitor treatment on angiogenesis was evaluated, with subsequent analysis of the expression of downstream angiogenic core molecules following these interventions.Results Confocal microscopy demonstrated the internalization of LoVo-Exos into HUVECs. In vitro angiogenesis assays further indicated that LoVo-Exos significantly enhanced the formation of tubular structures in HUVECs. Additionally, macroscopic examination of subcutaneous matrix plug formation in mice revealed a substantial increase in vascular-like structures within the matrix plugs following the administration of LoVo-Exos, compared to the PBS control group. Hematoxylin and eosin (HE) staining revealed the presence of erythrocyte-filled microvessels within the matrix plugs combined with LoVo-Exos. Furthermore, immunohistochemical analysis demonstrated the expression of the endothelial cell marker CD31 in these matrix plugs. The presence of CD31-positive cells in the LoVo-Exos-treated matrix plugs was associated with a significant enhancement in the formation of luminal structures. These findings suggest that LoVo-Exos facilitate the in vivo development of vascular-like structures. Subsequent investigations demonstrated that LoVo-Exos facilitated the delivery of pEGFR to HUVEC, thereby enhancing angiogenesis. Conversely, LoVo-Exos with EGFR knockdown exhibited a diminished capacity to promote angiogenesis, an effect that was further attenuated by the ERK phosphorylation inhibitor U0126. Western blot analysis assessing the activation of the EGFR-ERK signaling pathway in HUVEC indicated that LoVo-Exos augmented angiogenesis through the activation of this pathway. Furthermore, analysis of the impact of LoVo-Exos on the expression of downstream angiogenic core molecules revealed an increase in interleukin-8 (IL-8) secretion in HUVEC. The enhancement observed was diminished in LoVo-Exos following EGFR knockdown, and this reduction was counteracted by the ERK phosphorylation inhibitor U0126.Conclusion The underlying mechanism may involve the delivery of pEGFR in LoVo-Exos to HUVECs, leading to increased IL-8 secretion via the EGFR-ERK signaling pathway, thereby enhancing the angiogenic potential of HUVECs. This finding may offer new insights into the mechanisms underlying cancer metastasis.]]> 2025/1/8 15:45:47 Objective As a second messenger in intracellular signal transduction, Ca²⁺ plays an important role in cell migration. Previous studies have demonstrated that extracellular Ca²⁺ influx can promote electric field-guided cell migration, known as electrotaxis. However, the effect of intracellular Ca²⁺ flow on electrotaxis is unclear. Therefore, in this study, we investigate the effect of Ca²⁺ flux on the electrotaxis of Dictyostelium discoideum.Methods The electrotaxis of Dictyostelium discoideum was investigated by applying a direct current (DC) electric field. Cell migration was recorded using a real-time imaging system. Calcium channel inhibitors, the extracellular Ca²⁺ chelator EGTA, Ca²⁺-free DB buffer, and caffeine were applied to investigate the impact of intra- and extracellular Ca²⁺ flow on electrotaxis. The involvement of G proteins and ERK2 in directed cell migration mediated by endoplasmic reticulum Ca²⁺ release was explored using mutants.Results Dictyostelium discoideum migrated toward the cathode in the electric field in a voltage-dependent manner. The intracellular Ca²⁺ concentration of the cells was significantly increased in the electric field. Inhibition of both extracellular Ca²⁺ influx and intracellular Ca²⁺ release suppressed cell electrotaxis migration. Inhibition of endoplasmic reticulum Ca²⁺ release induced by caffeine significantly impaired the electrotaxis of Dictyostelium discoideum. Deletion of Gα2, Gβ, Gγ, and Erk2 notably reduced the electrotaxis of the cells. Enhancing Ca²⁺ release mediated by caffeine restored the electrotaxis of the Gα2^-, Gβ ^-, and Erk2^- mutant cells partially or completely, but did not restore electrotaxis in the Gγ^- mutant cells.Conclusion Ca²⁺ release from the endoplasmic reticulum regulates electrotaxis migration in Dictyostelium discoideum and is involved in the regulation of cell electrotaxis by G proteins and ERK2.]]> 2025/1/8 15:32:21 2025/1/8 11:39:08 etc., and further exerts neuroprotective effects, but tACS mainly maintains the normal function of cholinergic neurons to exert the effects. For the alleviation of cerebrovascular dysfunction, tDCS has particular advantages in optimizing the neural vascular unit and improving the blood-brain barrier. For astrocytes, tDCS attenuates inflammatory responses by inhibiting their activation. In contrast, the effect of tACS on the activation state of microglial cells is still controversial for enhancement in AD mice and inhibition in patients. For Aβ levels, the effects of tDCS in AD patients are also inconclusive, but in AD rodents, tDCS may regulate molecular pathways related to Aβ production and degradation, thereby removing Aβ. In addition, tACS reduces p-tau levels in AD patients, but tDCS shows a trend toward reduction. In short, the effect of tES on Aβ and p-tau needs further investigation. Regarding neuroplasticity, tDCS improves cortical and synaptic plasticity, but tACS improves only synaptic plasticity. However, both techniques do not affect the molecular level associated with plasticity. On the other hand, this review has summarized some interesting findings of tES in non-AD rodents that may be relevant to the pathological mechanisms of AD. For neuroprotection, tDCS can promote neurogenesis, GABAergic and glutamatergic neurotransmission, modulate neuroprotection-related signaling pathways, reduce oxidative stress, and protect hippocampal neurons. In addition, tDCS inhibits conversion of microglia to the M1 phenotype and promotes conversion to the M2 phenotype, thereby reducing neuroinflammation. Importantly, tDCS induces changes in molecular indices associated with synaptic plasticity. These findings in non-AD rodents provide a reference for understanding the potential effect and possible mechanism of tES in AD and for exploring new approaches to treat other diseases with similar pathological features. In addition, tES has shown some effects in AD rodents, such as tACS improving plasticity, that have not been studied in non-AD rodents. These effects suggest the particular complexity of the pathological mechanisms of AD, which should be considered when applying the results of tES studies in non-AD rodents to AD rodents. In conclusion, this review provides a comprehensive overview of the neuromolecular mechanisms of tES in AD research and highlights its promise as a non-invasive brain stimulation technique in the treatment of AD. Furthermore, tES will play an indispensable role in the treatment of neuropsychiatric disorders and in the study of brain function.]]> 2025/1/6 16:42:03 2025/1/3 17:12:31 2024/12/31 11:54:00 Objective Gliomas in the motor functional area can damage the corticospinal tract (CST), leading to motor dysfunction. Currently, there is a lack of unified methods for evaluating the extent of CST damage, especially in patients with high surgical risk where the minimum distance from the lesion to the CST is less than 10 mm. This study aims to further clarify the classification method and clinical significance of CST morphological changes in these patients.Methods This retrospective study analyzed 109 high-risk functional area glioma patients who underwent neurosurgical treatment with preoperative diffusion tensor imaging (DTI) imaging and intraoperative neurostimulation guidance between 2014 and 2024. All patients had a lesion-to-tract distance (LTD) of less than 10 mm between the CST and the lesion. Preoperative DTI evaluation of CST involvement-induced morphological changes were reviewed. Patients were divided into 3 groups: 17 cases (15.6%) with symmetric CST morphology compared to the healthy side (CST symmetry), 48 cases (44.0%) with significant CST morphology changes compared to the healthy side (CST deformation), and 44 cases (40.4%) with CST overlap with the tumor (CST overlap). Then we classified patients according to preoperative assessment of tumor-induced morphological changes, and analyze postoperative motor function for each category.Results Postoperative pathology showed a significantly higher proportion of high-grade gliomas (HGG) in the CST overlap group compared to the other two groups (P=0.001). Logistic regression analysis showed that CST overlap was a predictor of HGG (P=0.000). The rate of total tumor resection in the CST deformation group and overlap group was lower than in the CST symmetric group (P=0.008). There was a total of 41 postoperative hemiplegic patients, with 4 cases (23.5%) in the CST symmetric group, 11 cases (22.9%) in the CST deformation group, and 26 cases (59.1%) in the CST overlap group. CST overlap with the tumor predicted postoperative hemiplegia (P=0.016). Two-way ANOVA analysis of the affected/healthy side and CST morphology groups showed significant main effects of CST grouping and healthy-affected side (P=0.017 and P=0.010), with no significant interaction (P=0.31). The fractional anisotropy (FA) value in the CST overlap group and the affected side was lower. A decrease in the FA value on the affected side predicted postoperative hemiplegia (sensitivity 69.2%, specificity 71.9%).Conclusion We have established a method to predict postoperative hemiplegia in high-risk motor functional area glioma patients based on preoperative CST morphological changes. CST overlap leads to a decrease in CST FA values. This method can be used for precise patient management and aid in accurate preoperative surgical planning.]]> 2024/12/31 9:38:34 e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.]]> 2024/12/31 9:31:01 Objective To investigate the influence of histone deacetylase 3 (HDAC3) on the occurrence, development of psoriasis-like inflammation in mice, and the relative immune mechanisms.Methods Healthy C57BL/6 mice aged 6-8 weeks were selected and randomly divided into 3 groups: control group (Control), psoriasis model group (IMQ), and HDAC3 inhibitor RGFP966-treated psoriasis model group (IMQ+RGFP966). One day prior to the experiment, the back hair of the mice was shaved. After a one-day stabilization period, the mice in Control group was treated with an equal amount of vaseline, while the mice in IMQ group was treated with imiquimod (62.5 mg/d) applied topically on the back to establish a psoriasis-like inflammation model. The mice in IMQ+RGFP966 group received intervention with a high dose of the HDAC3-selective inhibitor RGFP966 (30 mg/kg) based on the psoriasis-like model. All groups were treated continuously for 5 d, during which psoriasis-like inflammation symptoms (scaling, erythema, skin thickness), body weight, and mental status were observed and recorded, with photographs taken for documentation. After euthanasia, hematoxylin-eosin (HE) staining was used to assess the effect of RGFP966 on the skin tissue structure of the mice, and skin thickness was measured. The mRNA and protein expression levels of HDAC3 in skin tissues were detected using reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot (WB), respectively. Flow cytometry was employed to analyze neutrophils in peripheral blood and lymph nodes, CD4⁺ T lymphocytes, CD8⁺ T lymphocytes in peripheral blood, and IL-17A secretion by peripheral blood CD4⁺ T lymphocytes. Additionally, spleen CD4⁺ T lymphocyte expression of HDAC3, CCR6, CCR8, and IL-17A secretion levels were analyzed. Immunohistochemistry was used to detect the localization and expression levels of HDAC3, IL-17A, and IL-10 in skin tissues.Results Compared with the Control group, the IMQ group exhibited significant psoriasis-like inflammation, characterized by erythema, scaling, and skin wrinkling. Compared with the IMQ group, RGFP966 exacerbated psoriasis-like inflammatory symptoms, leading to increased hyperkeratosis. The psoriasis area and severity index (PASI) skin symptom scores were higher in the IMQ group than those in the Control group, and the scores were further elevated in the IMQ+RGFP966 group compared to the IMQ group. Skin thickness measurements showed a trend of IMQ+RGFP966>IMQ>Control. The numbers of neutrophils in the blood and lymph nodes increased sequentially in the Control, IMQ, and IMQ+RGFP966 groups, with a similar trend observed for CD4⁺ and CD8⁺ T lymphocytes in the blood. In skin tissues, compared with the Control group, the mRNA and protein levels of HDAC3 decreased in the IMQ group, but RGFP966 did not further reduce these expressions. HDAC3 was primarily located in the nucleus. Compared with the Control group, the nuclear HDAC3 content decreased in the skin tissues of the IMQ group, and RGFP966 further reduced nuclear HDAC3. Compared with the Control and IMQ groups, RGFP966 treatment decreased HDAC3 expression in splenic CD4⁺ and CD8⁺ T cells. RGFP966 treatment increased the expression of CCR6 and CCR8 in splenic CD4⁺ T cells and enhanced IL-17A secretion by peripheral blood and splenic CD4⁺ T lymphocytes. Additionally, compared with the IMQ group, RGFP966 reduced IL-10 protein levels and upregulated IL-17A expression in skin tissues.Conclusion RGFP966 exacerbates psoriatic-like inflammatory responses by inhibiting HDAC3, increasing the secretion of the cytokine IL-17A, and upregulating the expression of chemokines CCR8 and CCR6.]]> 2024/12/24 10:26:14 2O. Meanwhile, TEs also undergo nucleophilic attack by intramolecular oxygen atom, nitrogen atom, or carbon atom to achieve macrolactonization, macrolactamization, or Claisen condensation, respectively. There are two main classes of TEs involved in natural product biosynthesis. Type I TEs (TEIs) are commonly found in type I cis-AT PKS, trans-AT PKS, NRPS, and fungal PKS/NRPS, which are mainly located at the end module of synthase. In addition to TEIs, there is also a class of free type II TE (TEIIs), which catalyzes the release of incomplete or incorrectly extended intermediates during PKs and NRPs biosynthesis. Besides, a distinct class of free TE was identified in the chain release of polyether backbones, such as monensin and nanchangmycin. Since 2001, more than 20 crystal structures of TEs from diverse PKSs and NRPSs have been solved. The structural elucidation of TEs has unlocked the mystery of their structural and functional interaction, laid the foundation for the TE classification and mechanistic insight into the substrate selectivity and catalytic efficiency of TE, which further promotes the understanding of the chain release mechanism of natural products and better served the rational design of TE. Previous articles have systematically reviewed the structure, function, and regulatory mechanism of different TE families. Horsman et al. also reviewed the diversity, structure, and mechanism of TEs in PKSs and NRPSs. They put forward an insightful view that TEs might act as logic gates for substrate loading and chain releasing during the biosynthesis of natural products. It provides an important perspective for studying the evolution and functional prediction of TEs. This review summarizes the structural characteristics of various TE, focusing on the structural consistency of thioesterase to the catalytic mechanism. Additionally, this review follows the progress and limitations on the catalytic mechanism and computational simulation of type I TE, providing a detailed analysis of the chemical essence of thioesterase-catalyzed chain release reactions. This review aims to deliver revealing suggestions for the structural elucidation and mechanistic insights of TE, as well as its rational design for improved chain release of unnatural products.]]> 2024/12/21 7:51:21 2024/12/18 13:04:16 FoxA genes belong to a conserved family of transcription factors, that play a crucial role in regulating embryonic development, cellular differentiation, and disease pathogenesis. Initially identified as hepatocyte nuclear factor 3α (Hnf3α), FoxA is pivotal in activating liver-specific genes and contributing to liver morphogenesis. Studies have shown that FoxA proteins interact with specific DNA sequences and nucleosome-bound DNA, altering the local chromatin structure to regulate gene expression. The unique ability has earned them the designation of “pioneer factors”. The FoxA family comprises three members: FoxA1, FoxA2, and FoxA3. FoxA1 is predominantly expressed in endoderm-derived organs such as the lungs, liver, pancreas, and prostate, where it regulates hormone metabolism, cell cycle, and cell proliferation. FoxA2 is primarily expressed in the floor plate of the vertebrate spinal cord, where it plays a key role in establishing the dorsal-ventral patterning of the neural tube. FoxA3 is mainly expressed in the testes, where it regulates germ cell formation. FoxA genes exhibit functional diversity in embryonic development across different species, offering insights into their evolutionary roles. For instance, zebrafish embryos with mutations in the foxa2^-/- gene can survive, providing an opportunity to study embryonic development mechanisms. Currently, a growing body of research suggests that FoxA genes are involved in early embryonic development, cancer, and metabolism-related diseases. This paper summarizes the discovery, expression patterns, and biological functions of the FoxA genes while identifying key scientific questions that remain unresolved. It aims to provide readers a solid scientific basis for understanding the molecular mechanisms through which FoxA genes regulate embryonic development and contribute to cancer pathogenesis.]]> 2024/12/18 13:01:30 Caenorhabditis elegans (C. elegans) but also plays an important role in multicellular organisms, including humans, participating in regulating key life activities such as the cell cycle, cell death, and tissue differentiation. miRNAs have also been found in viruses, where they are involved in the process of viral infection. The discovery of miRNA has not only opened up a new research field in ncRNA but also challenged the classic “central dogma” of molecular biology. This dogma traditionally transcribes the linear transmission of genetic information: from DNA to mRNA, then translated into proteins, which ultimately carry out biological functions. However, due to the competitive binding of miRNAs with mRNA and other ncRNAs in cells, such as long non-coding RNA (lncRNA) and circular RNA (circRNA), a vast and complex gene expression regulatory network, known as the competing endogenous RNA (ceRNA) network, has emerged. The complexity and sophistication of the ceRNA regulatory network offer new perspectives for transcriptome research, aid in the exploration of gene functions and regulatory mechanisms at a deeper level, and then enable a more comprehensive understanding of various biological phenomena. Moreover, a complex interaction and regulatory network exists between miRNA and other ncRNAs. miRNA and other ncRNAs may also be generated through the splicing of the same genes, which have complex transcripts capable of simultaneously producing multiple types of ncRNAs, including miRNA, lncRNA, circRNA, etc., all of which are involved in a variety of biological processes. Meanwhile, miRNA itself is encoded by genes in the genome, and its expression is also regulated by other coding or ncRNAs. Together with mRNA and other ncRNAs, miRNA finely regulates the life activities of cells and affects the physiological and pathological functions of the body. The dysregulation of miRNA expression is closely linked to the onset and progression of many diseases, particularly cancers, cardiovascular diseases, and neurodegenerative disordors. Furthermore, miRNA provides new molecular markers and targets for the diagnosis and treatment of these diseases. In terms of disease diagnosis, miRNA can stably exist in body fluids and serve as a biomarker for many diseases. The research and development of miRNA drugs is currently advancing rapidly. At present, the research and development of miRNA drugs mainly includes endogenous miRNA analogs and inhibitors targeting endogenous miRNA. Although challenges such as stability, immunogenicity, and permeability remain, advances in chemical modification and delivery technologies are gradually overcoming these obstacles, promoting the clinical translation of miRNA-based drugs. This article summarizes the discovery, mechanism of action, and biological functions of miRNAs, as well as their interaction networks with other ncRNAs, and explores the future prospects of miRNA applications.]]> 2024/12/17 16:25:06 in situ imaging of targeted genes, proteins, and small-molecule metabolites, enabling further research on cell types, states, metabolism, and drug efficacy. However, these approaches have drawbacks such as poor labeling specificity and complex experimental procedures. By using cells as experimental models, mass spectrometry technology combined with morphological analysis can reveal quantitative changes and spatial distributions of various biological substances at the spatiotemporal level, including metabolites, proteins, lipids, peptides, drugs, environmental pollutants, and metals. This allows for the investigation of cell-cell interactions, tumor microenvironments, and cellular bioinformational heterogeneity. The application of these cutting-edge imaging technologies generates vast amounts of cellular data, necessitating the development of rapid, efficient, and highly accurate image data algorithms for precise segmentation and identification of single cells, multi-organelle structures, rare cell subpopulations, and complex cellular morphologies. A critical focus lies in creating deep learning models and algorithms that enhance the accuracy of cellular visualization. At the same time, establishing more robust data integration tools is essential not only for analyzing and interpreting outputs but also for effectively uncovering the biological significance of spatially resolved mass spectrometry data. Developing a cell imaging platform with high versatility, operational stability, and specificity to enable data interoperability will significantly enhance its utility in clinical research, thereby advancing investigations into disease molecular mechanisms and supporting precision diagnostics and therapeutics. In contrast to genomic, transcriptomic, and proteomic information, the metabolome can rapidly respond to external stimuli and cellular physiological changes within a short timeframe. This rapid and precise reflection of ongoing cellular state alterations has positioned spatial metabolomics as a pivotal approach for exploring the molecular mechanisms underlying physiological and pathological processes in cells, tissues, and organisms. In this review, we summarize research on cell imaging based on mass spectrometry technologies, including the selection and preparation of cell models, morphological analysis of cell models, spatial omics techniques based on mass spectrometry, mass cytometry, and their applications. We also discuss the current challenges and propose future directions for development in this field.]]> 2024/12/8 9:37:44 Objective This study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes.Methods Structural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments.Results The collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments.Conclusion The antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.]]> 2024/12/4 10:35:01 Objective Molecular property prediction plays a crucial role in drug development, especially in virtual screening and compound optimization. The advancement of artificial intelligence (AI) technologies has led to the emergence of numerous deep learning-based methods, which have demonstrated significant potential in improving molecular property prediction. Nonetheless, acquiring labeled molecular data can be both costly and time-consuming. The scarcity of labeled data poses a substantial challenge for supervised machine learning models to effectively generalize across the vast chemical space. In order to overcome the above limitations, in this work, we proposed a novel Bert and GCN-based multimodal fusion method (called BGMF) to predict molecular property.Methods BGMF can extract comprehensive molecular representation from atomic sequences, molecular fingerprint sequences, and molecular graph data and combine them through pre-training and fine-tuning. Specifically, our method consists of the following three main parts. (1) Molecular feature extraction; (2) Bert-GCN based pre-training; (3) fine-tuning. During molecular feature extraction, the Morgan algorithm is employed to generate the molecular fingerprints, transforming input SMILES strings of drugs into molecular fingerprint sentences. Simultaneously, atom sentences are created based on the atom indices within the molecule, Consequently, drug molecule are represented as both molecular fingerprint sentences and atom sentences. In the pre-training section, BGMF utilizes a self-supervised learning strategy, specifically masked molecular fingerprint and masked atom recovery, on a large dataset of unlabeled data using the Bert model. Here, molecular graph data is incorporated by merging graph convolutional neural networks with the Bert model, effectively combining the global “word” features of drug molecules with the local topological features of molecular graphs. We have also developed a dual decoder for atomic and molecular fingerprints to amplify molecular feature expression. Finally, in the fine-tuning stage, the addition of a pooling layer and task-specific fully connected neural networks allows the pre-trained module to be applied to a variety of downstream tasks for molecular property prediction.Results To validate the effectiveness of our BGMF, we conduct several experiments on 43 molecular attribute prediction tasks across 5 datasets. In comparison with other recent state-of-the-art methods, our BGMF achieves the best results in terms of area under the ROC curve (AUC). We also verified the generalization performance of the BGMF model by constructing independent test dataset, showing that the BGMF model has the best generalization performance. Additionally, we conduct the ablation studies to demonstrate the effect of atomic sequence, molecular fingerprint sequence, GCN based molecular graph module, and pre-training module on the overall performance of the model.Conclusion In this paper, we propose a novel method for drug molecular attribute prediction named BGMF which integrating the molecular graph data into tasks of molecular fingerprint recovery and masked atom recovery by combining graph convolutional neural network with the Bert model. The molecular fingerprint representations generated by BGMF were visualized using t-SNE, revealing that the BGMF model effectively captures the intrinsic structure and features of molecular fingerprints.]]> 2024/12/4 10:08:41 2024/12/3 10:11:05 2024/12/2 12:08:36 Objective In the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms.Methods ITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples.Results Among the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted.Conclusion Significant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.]]> 2024/11/24 23:03:07 e.g., two touch or temperature stimuli) are presented simultaneously, leading to amplified perceptual strength and quicker reaction times. Additionally, certain external factors, such as cooling, can increase sensitivity to other sensory inputs, further promoting facilitative integration. In contrast, inhibitory effects may also emerge when stimuli from different sensory modalities interact, particularly between touch and pain. Under such conditions, one sensory input (e.g., vibration or non-noxious temperature stimulation) can effectively reduce the perceived intensity of the other, often resulting in reduced pain perception. These facilitative and inhibitory interactions are critical for efficient processing in a multi-stimulus environment and play a role in modulating the experience of somatosensory inputs in both normal and clinical contexts. The neural mechanisms underlying multimodal somatosensory integration are multi-tiered, encompassing peripheral receptors, the spinal cord, and various cortical structures. Facilitative integration relies on the synchronous activation of peripheral receptors, which transmit enhanced signals to higher processing centers. At the cortical level, areas such as the primary and secondary somatosensory cortex, through multimodal neuron responses, facilitate combined representation and amplification of sensory signals. In particular, the thalamus is a significant relay station where multisensory neurons exhibit superadditive responses, contributing to facilitation by enhancing signal strength when multiple inputs are present. Inhibitory integration, on the other hand, is mediated by mechanisms within the spinal cord, such as gating processes that limit transmission of competing sensory signals, thus diminishing the perceived intensity of certain inputs. At the cortical level, lateral inhibition within the somatosensory cortex plays a key role in reducing competing signals from non-target stimuli, enabling prioritized processing of the most relevant sensory input. This layered neural architecture supports the dynamic modulation of sensory inputs, balancing facilitation and inhibition to optimize perception. Understanding the neural pathways involved in somatosensory integration has potential clinical implications for diagnosing sensory disorders and developing therapeutic strategies. Future research should focus on elucidating the specific neural circuitry and mechanisms that contribute to these complex interactions, providing insights into the broader implications of somatosensory integration on behavior and cognition. In summary, this review highlights the importance of multimodal somatosensory integration in enhancing sensory perception. It also underscores the need for further exploration into the neural underpinnings of these processes to advance our understanding of sensory integration and its applications in clinical settings.]]> 2024/11/24 21:10:02 Objective Obesity has been identified as one of the most important risk factors for cognitive dysfunction. Physical exercise can ameliorate learning and memory deficits by reversing synaptic plasticity in the hippocampus and cortex in diseases such as Alzheimer’s disease. In this study, we aimed to determine whether 8 weeks of treadmill exercise could alleviate hippocampus-dependent memory impairment in high-fat diet-induced obese mice and investigate the potential mechanisms involved.Methods A total of sixty 6-week-old male C57BL/6 mice, weighing between 20-30 g, were randomly assigned to 3 distinct groups, each consisting of 20 mice. The groups were designated as follows: control (CON), high-fat diet (HFD), and high-fat diet with exercise (HFD-Ex). Prior to the initiation of the treadmill exercise protocol, the HFD and HFD-Ex groups were fed a high-fat diet (60% fat by kcal) for 20 weeks. The mice in the HFD-Ex group underwent treadmill exercise at a speed of 8 m/min for the first 10 min, followed by 12 m/min for the subsequent 50 min, totally 60 min of exercise at a 0° slope, 5 d per week, for 8 weeks. We employed Y-maze and novel object recognition tests to assess hippocampus-dependent memory and utilized immunofluorescence, Western blot, Golgi staining, and ELISA to analyze axon length, dendritic complexity, number of spines, the expression of c-fos, doublecortin (DCX), postsynaptic density-95 (PSD95), synaptophysin (Syn), interleukin-1β (IL-1β), and the number of major histocompatibility complex II (MHC-II) positive cells.Results Mice with high-fat diet-induced obesity exhibit hippocampus-dependent memory impairment, and treadmill exercise can prevent memory decline in these mice. The expression of DCX was significantly decreased in the HFD-induced obese mice compared to the control group (P<0.001). Treadmill exercise increased the expression of c-fos (P<0.001) and DCX (P=0.001) in the hippocampus of the HFD-induced obese mice. The axon length (P<0.001), dendritic complexity (P<0.001), the number of spines (P<0.001) and the expression of PSD95 (P<0.001) in the hippocampus were significantly decreased in the HFD-induced obese mice compared to the control group. Treadmill exercise increased the axon length (P=0.002), dendritic complexity (P<0.001), the number of spines (P<0.001) and the expression of PSD95 (P=0.001) of the hippocampus in the HFD-induced obese mice. Our study found a significant increase in MHC-II positive cells (P<0.001) and the concentration of IL-1β (P<0.001) in the hippocampus of HFD-induced obese mice compared to the control group. Treadmill exercise was found to reduce the number of MHC-II positive cells (P<0.001) and the concentration of IL-1β (P<0.001) in the hippocampus of obese mice induced by a HFD.Conclusion Treadmill exercise led to enhanced neurogenesis and neuroplasticity by increasing the axon length, dendritic complexity, dendritic spine numbers, and the expression of PSD95 and DCX, decreasing the number of MHC-II positive cells and neuroinflammation in HFD-induced obese mice. Therefore, we speculate that exercise may serve as a non-pharmacologic method that protects against HFD-induced hippocampus-dependent memory dysfunction by enhancing neuroplasticity and neurogenesis in the hippocampus of obese mice.]]> 2024/11/24 21:06:35 Objective To investigate whether 2,3,5,4"-tetrahydroxystilbene-2-O-β-glucoside (TSG) ameliorated polycystic ovary syndrome (PCOS)-like characteristics by inhibiting inflammation.Methods PCOS models were established by injecting subcutaneously with dehydroepiandrosterone into female Sprague-Dawley rats, followed by receiving intraperitoneal injection of TSG. The granular cells (GCs) KGN were transfected with small interfering RNAs (si-NC and si-CYP19A1). The cells were preincubated with lipopolysaccharide (LPS) and then treated with or without TSG. The estrous cycle was monitored using vaginal exfoliated cells. The morphology of ovarian follicles was analyzed by H&E staining. ELISA was used to analyze estradiol (E2), testosterone (T), follicle stimulating hormone (FSH), luteinizing hormone (LH), IL-6, TNF-α, AGEs, CRP and Omentin-1 levels in serum. Immunohistochemistry was performed to analyze PCNA and CYP19A1 expressions in the GCs of ovaries. Tunel staining was executed to detect the apoptosis of GCs. Quantitative polymerase chain reaction (qPCR) and Western blot were implemented to measure the expression of CYP19A1 in the ovaries and transfected cells. qPCR was used to analyze the expression of IL-6 and TNF-α in the transfected cells treated with LPS and TSG.Results The estrous cycles were restored in TSG group. Compared with model group, the sinus follicles were reduced and corpus luteums were increased in TSG group. TSG group showed increased E2, and decreased T and LH, compared with model group. Pro-inflammatory factors (IL-6, TNF-α, CRP and AGEs) were decreased, and anti-inflammatory factor (Omentin-1) was increased in TSG group compared with those in model group. TSG could partially inhibit decrease of PNCA-positive GCs and increase of Tunel-positive GCs caused by PCOS. The CYP19A1 expression of GCs in TSG group was upregulated compared with model group. The expressions of IL-6 and TNF-α in si-CYP19A1 cells were increased compared with si-NC cells. Compared with cells (si-NC and si-CYP19A1) treated without LPS, the expressions of IL-6 and TNF-α cells were increased, and the expression of CYP19A1 was downregulated in LPS-preincubated cells. Compared with cells treated with LPS, the expression of IL-6 and TNF-α were decreased, and the expression of CYP19A1 was increased in cells treated with LPS and TSG. Compared with si-NC cells treated with LPS and TSG, the expressions of IL-6 and TNF-α cells were increased in the si-CYP19A1 cells treated with LPS and TSG.Conclusion TSG could alleviate PCOS-like characteristics by increasing the expression of CYP19A1 in GCs to inhibit inflammatory response.]]> 2024/11/19 16:32:53 2024/11/12 11:44:50 Objective To characterize transmembrane protein 68 (TMEM68) in an alternative triacylglycerol (TAG) biosynthesis pathway, and determine the interplay between TMEM68 and the canonical TAG synthesis enzyme acyl-CoA:diacylglycerol acyltransferase (DGAT).Methods Effects of exogenous fatty acid and monoacylglycerol on TAG synthesis and lipid droplet (LD) formation in TMEM68 overexpression and knockout cells treated with DGAT inhibitor or not were investigated by comparing LD morphology, Oil Red O staining, and measurement of TAG levels. LDs were stained with fluorescence dye and observed by confocal fluorescence microscopy. TAG levels were determined with an enzyme-based triglyceride assay kit. Colocalization of TMEM68 and DGAT1 was detected by co-expression and confocal fluorescence microscopy and their interaction was determined by co-immunoprecipitation. RT-qPCR and immunoblotting assay were used to detect the expression of DGAT1.Results The synthesis of TAG catalyzed by TMEM68 was independent of DGAT activity. Surplus exogenous fatty acids and monoacylglycerol promoted TAG synthesis mainly through DGAT in human neuroblastoma cells. The LDs formed by TMEM68 were different in morphology from those by DGAT. In addition, TMEM68 and DGAT1 colocalized in the same endoplasmic reticulum (ER) compartment but did not interact physically. TMEM68 overexpression reduced the expression of DGAT1, the major DGAT enzyme involved in TAG synthesis, while TMEM68 knockout had little impact.Conclusion The TMEM68-mediated TAG synthesis pathway has distinct features from the canonical DGAT pathway, however, TMEM68 and DGAT may coregulate intracellular TAG levels.]]> 2024/11/6 14:54:16 Objective A multiplex amplification system was constructed based on the capillary electrophoresis platform for simultaneous detection of saliva, semen, and vaginal secretions using tissue-specific RNA markers. The aim of this study is to identify the tissue origin of suspicious body fluid stains found at crime scenes and determine whether the body fluid stains at the crime scene are one or several types among saliva, semen, and vaginal secretions.Methods Thirty saliva samples, forty semen samples, and forty vaginal secretion samples (half from 2015 and half from 2024) were collected from healthy adult volunteers. Through primer designing, system formulation, and PCR condition optimization, a multiplex fluorescent amplification system was constructed. The specificity, sensitivity, and detection ability for mixed samples of this system were investigated, and it was tested using real crime scene materials. In the primer design stage, to reduce the requirements for RNA template quality, the amplification products were set within 80-300 bp. In the system formulation stage, dominant and subordinate primers were mainly considered. By reducing the concentration of dominant primers and increasing that of subordinate primers, a capillary electrophoresis spectrum with an appropriate peak height ratio was finally obtained. Additionally, gradient experiments were designed to adjust the concentrations of PCR reagents and PCR amplification conditions, and multiple versions of DNA amplification enzymes were optimized to achieve the best experimental results.Results Through statistical analysis, there was no significant difference in the capillary electrophoresis of the 3 types of body fluid samples from the two years (2015 and 2024), demonstrating that the sample preservation method in this study can preserve samples for a relatively long time. The composite amplification system constructed in this study exhibited high specificity for all 3 types of body fluid, with no cross-reactions between the markers of each type of body fluid. The minimum detection thresholds for the 3 types of body fluid reached 0.002 9, 0.001 5, and 0.42 mg/L, respectively. This system also had a high degree of discrimination for mixed samples, especially for semen-saliva mixtures, where each body fluid marker could still be successfully detected when the concentration ratio of semen to saliva was 100:1. Meanwhile, in the two actual cases presented in this article, the application of this composite amplification system performed outstandingly.Conclusion The composite amplification detection system constructed in this study can achieve the correct screening of saliva, semen, and vaginal secretions, overcoming the problems such as low specificity and sensitivity of marker tests and unbalanced RFU values of each marker in previous studies. The specificity and sensitivity meet the practical work requirements, and the operation is simple. It provides an analytical and identification method for body fluid stains in actual case and is applicable to the identification of the tissue origin of biological evidence at crime scenes involving sexual assault, indecent assault, and other criminal acts. In the future, more types of body fluid markers will be screened to expand the types of body fluids detected by the system, and body fluid-specific cSNP and cInDel genetic markers will be introduced to infer the sources (individuals and types) of mixed and complex stains more accurately.]]> 2024/11/6 14:47:13 2024/11/6 14:43:28 c^--cystine-GPX4 pathway and iron metabolism. Then, a series of compounds, including sulfasalazine (SAS), metformin, and statins, were described in terms of how they interact with cells to deplete glutathione (GSH), thereby inhibiting the activity of glutathione peroxidase 4 (GPX4) and preventing the production of lipid peroxidases. The disruption of the cellular defense against oxidative stress ultimately results in the death of TNBC cells. We have also our focus to the realm of natural products, exploring the therapeutic potential of traditional Chinese medicine extracts for TNBC. These herbal extracts exhibit multi-target effects and good safety, and have shown promising capabilities in inducing ferroptosis in TNBC cells. We believe that further exploration and characterization of these natural compounds could lead to the development of a new generation of cancer therapeutics. In addition to traditional chemotherapy, we discussed the role of drug delivery systems in enhancing the efficacy and reducing the toxicity of ferroptosis inducers. Nanoparticles such as exosomes and metal-organic frameworks (MOFs) can improve the solubility and bioavailability of these compounds, thereby expanding their therapeutic potential while minimizing systemic side effects. Although preclinical data on ferroptosis inducers are relatively robust, their translation into clinical practice remains in its early stages. We also emphasize the urgent need for more in-depth and comprehensive research to understand the complex mechanisms of ferroptosis in TNBC. This is crucial for the rational design and development of clinical trials, as well as for leveraging ferroptosis to improve patient outcomes. Hoping the above summarize and review could provide references for the research and development of lead compounds for the treatment for TNBC.]]> 2024/11/6 14:41:23 2024/11/6 11:52:10 et al. (2023) have reported that individuals with high trait anxiety exhibit attentional deficits characterized by reduced inhibition of distractors and delayed attentional selection of targets, indicating impaired top-down attentional control. This commentary underscores their significant contributions to the cognitive theory of anxiety. Based on their findings, we propose a novel training approach called attentional inhibition training (AIT), aimed at improving top-down attentional control to alleviate symptoms of anxiety. Furthermore, we explore the potential application of non-invasive transcranial magnetic stimulation (TMS) for rapidly enhancing attentional control function.]]> 2024/10/30 20:34:41 Objective The aim of this study was to investigate the prophylactic effects of caloric restriction (CR) on lipopolysaccharide (LPS)-induced septic cardiomyopathy (SCM) and to elucidate the mechanisms underlying the cardioprotective actions of CR. This research aims to provide innovative strategies and theoretical support for the prevention of SCM.Methods A total of forty-eight 8-week-old male C57BL/6 mice, weighing between 20-25 g, were randomly assigned to 4 distinct groups, each consisting of 12 mice. The groups were designated as follows: CON (control), LPS, CR, and CR+LPS. Prior to the initiation of the CR protocol, the CR and CR+LPS groups underwent a 2-week acclimatization period during which individual food consumption was measured. The initial week of CR intervention was set at 80% of the baseline intake, followed by a reduction to 60% for the subsequent 5 weeks. After 6-week CR intervention, all 4 groups received an intraperitoneal injection of either normal saline or LPS (10 mg/kg). Twelve hours post-injection, heart function was assessed, and subsequently, heart and blood samples were collected. Serum inflammatory markers were quantified using enzyme-linked immunosorbent assay (ELISA). The serum myocardial enzyme spectrum was analyzed using an automated biochemical instrument. Myocardial tissue sections underwent hematoxylin and eosin (HE) staining and immunofluorescence (IF) staining. Western blot analysis was used to detect the expression of protein in myocardial tissue, including inflammatory markers (TNF-α, IL-9, IL-18), oxidative stress markers (iNOS, SOD2), pro-apoptotic markers (Bax/Bcl-2 ratio, CASP3), and SIRT3/SIRT6.Results Twelve hours after LPS injection, there was a significant decrease in ejection fraction (EF) and fractional shortening (FS) ratios, along with a notable increase in left ventricular end-systolic diameter (LVESD). Morphological and serum indicators (AST, LDH, CK, and CK-MB) indicated that LPS injection could induce myocardial structural disorders and myocardial injury. Furthermore, 6-week CR effectively prevented the myocardial injury. LPS injection also significantly increased the circulating inflammatory levels (IL-1β, TNF-α) in mice. IF and Western blot analyses revealed that LPS injection significantly up-regulating the expression of inflammatory-related proteins (TNF-α, IL-9, IL-18), oxidative stress-related proteins (iNOS, SOD2) and apoptotic proteins (Bax/Bcl-2 ratio, CASP3) in myocardial tissue. 6-week CR intervention significantly reduced circulating inflammatory levels and downregulated the expression of inflammatory, oxidative stress-related proteins and pro-apoptotic level in myocardial tissue. Additionally, LPS injection significantly downregulated the expression of SIRT3 and SIRT6 proteins in myocardial tissue, and CR intervention could restore the expression of SIRT3 proteins.Conclusion A 6-week CR could prevent LPS-induced septic cardiomyopathy, including cardiac function decline, myocardial structural damage, inflammation, oxidative stress, and apoptosis. The mechanism may be associated with the regulation of SIRT3 expression in myocardial tissue.]]> 2024/10/29 22:52:23 2024/10/26 15:02:50 2024/10/25 17:12:52 2024/10/25 16:20:22 2024/10/18 15:56:38 2024/10/18 15:26:52 via its phosphatase domains, which regulate downstream signaling pathways involved in cell proliferation, differentiation, and cytoskeletal organization. The CSPGs/PTPσ axis has been identified as a major molecular pathway contributing to the inhibition of remyelination in MS. The upregulation of CSPGs and PTPσ in MS lesions has been associated with a failure of OPCs to remyelinate damaged axons effectively. Preclinical studies have shown that pharmacological inhibition or genetic ablation of PTPσ can alleviate the inhibitory effects of CSPGs on OPC migration and differentiation. For instance, systemic administration of the PTPσ inhibiting peptide intracellular sigma peptide (ISP) has been shown to enhance OPC differentiation, promote remyelination, and restore motor function in animal models of MS, highlighting the potential of targeting CSPGs/PTPσ as a therapeutic approach for MS. Furthermore, CSPGs and their receptors have been implicated in modulating other biological processes such as immune cell infiltration, synaptic plasticity, and axonal regeneration, which are relevant to the pathogenesis of MS and other neurodegenerative diseases. CSPGs are known to activate downstream signaling pathways, such as the Rho/ROCK, Akt, and ERK pathways, which regulate cytoskeletal dynamics and gene expression in OPCs, ultimately affecting their ability to mature into myelinating oligodendrocytes. Additionally, CSPGs can interact with the N-cadherin/β-catenin pathway, influencing cell adhesion and signaling in OPCs, thereby modulating myelin repair capacity. Given the multifaceted roles of CSPGs/PTPσ in CNS pathology, targeting this pathway represents a promising therapeutic strategy. This article aims to provide a comprehensive overview of the biological properties of CSPGs and PTPσ, focusing on their roles in the inhibition of myelin regeneration. Specifically, it discusses how CSPGs/PTPσ signaling modulates various aspects of OPC biology, including autophagy regulation and immune modulation. Moreover, the review explores potential therapeutic strategies aimed at disrupting CSPGs/PTPσ interactions, such as the use of small-molecule inhibitors, neutralizing antibodies, or gene therapies. In summary, a deeper understanding of CSPGs/PTPσ-mediated signaling in OPCs and other cell types within MS lesions may reveal novel therapeutic targets for promoting remyelination and functional recovery. This review provides a detailed analysis of current findings and highlights the need for further research to translate these findings into effective treatments for MS patients.]]> 2024/10/18 14:57:48 Objective Cancer is a global public health issue that has attracted much attention. Detecting and treating cancer at an earlier time point is the key to improving cancer survival rates. However, due to factors such as high equipment cost, slow detection speed, and poor detection accuracy, the promotion of early cancer screening is limited. Therefore, this paper proposes a high-precision and high-speed bioimpedance spectroscopy detection method for tumor identification based on multi-frequency synchronous bioimpedance spectroscopy technology.Methods First, based on the multi-frequency synchronization technology, this paper built a multi-frequency synchronous bioimpedance spectrum detection system, realized the high-speed detection of bioimpedance spectrum, designed concentric circle sensors to reduce the influence of biological tissue anisotropy on impedance detection, and improved the discrimination of bioimpedance spectrum between different tissues. Secondly, a gastric wall tissue model was established, and the degree of anisotropy influence on traditional four-electrode sensors and concentric circle sensors was studied through simulation. Finally, through pork tissue detection experiments and clinical gastric cancer tissue detection experiments, it was verified that the multi-frequency synchronous bioimpedance spectroscopy detection system using concentric circle sensors has higher detection accuracy.Results The experimental results show that when using concentric circle sensors, the average overlap rate of detection results is 13.4%, which is 41.7% lower than that of traditional electrodes, and the average discrete coefficient (C_v) is 7.6%, which is 54.0% lower than that of traditional electrodes. The multi-frequency synchronous bioimpedance spectrum detection system takes about 20 ms to perform a detection, and the detection method proposed in this paper has higher detection accuracy and detection speed. Finally, the concentric circle electrodes were selected to conduct clinical experiments on human gastric cancer tissue, and normal tissue and tumor tissue were successfully distinguished.Conclusion The high-precision and high-speed bioimpedance spectroscopy detection method for tumor identification proposed in this paper can effectively reduce the influence of anisotropy of biological tissues and obtain higher-precision and higher-speed detection results.]]> 2024/10/18 14:55:14 etc., and the semi-analytical methods include ray-tracing method and hybrid angular spectrum method. Simulation tools based on numerical methods synthesize various forms of wave propagation in media, such as nonlinear effects, scattering and diffraction, and are widely used in academic research. The k-Wave toolbox based on the k-space pseudo-spectral method and various programs based on the time-domain finite-difference method are the most widely used simulation tools in the current tFUS accurate simulation and experimental research. Although the finite element method has the advantage of dealing with complex boundary conditions, the excessive consumption of computational resources limits its direct application in complex 3D simulations. Compared to numerical methods, semi-analytical-based simulations cannot accurately model full-wave effects, but their computational speed makes them more suitable for clinical scenarios where simulation time is critical. Ray-tracing, developed by Insightec, is currently the only phase-correction method that has been used in clinical applications. Based on geometric acoustic principles, ray tracing enables near real-time tFUS phase correction. At the same time, the hybrid angular spectroscopy method shows higher accuracy in precise targeting than the conventional ray tracing method. In addition, the hybrid application of different simulation methods significantly improves the simulation efficiency and accuracy, e.g., the boundary element method can be coupled with the finite element method to limit the computational area to the region involving only the skull, which drastically reduces the computational load. In recent years, the acoustic simulation for tFUS has continued to make progress, but there is still a huge room for improvement in terms of computational efficiency and accuracy, and the optimal use of computational resources and the combination of multiple simulation techniques may be the direction of the future development of simulation technology. In this paper, the research on simulation techniques based on numerical, semi-analytical and hybrid methods commonly used in the field of tFUS in recent years is reviewed and sorted out, and the research and application of various simulation methods are summarized and prospected.]]> 2024/10/14 22:27:01 2024/10/14 22:23:07 2024/10/14 22:19:35 Objective The aim of this study was to investigate the effect and mechanism of quercetin on lipid droplet formation in foam cells induced by oxidized low-density lipoprotein (ox-LDL).Methods Mouse RAW264.7 cells were induced by 50 mg/L ox-LDL to construct a foam cell model. After different quercetin concentrations were treated for different time, the optimal quercetin concentration and time were screened by CCK8 assay. Based on the constructed foam cell model, the formation of fat droplets was observed by oil red O staining after quercetin treatment with or without AS1842856 (FOXO1 inhibitor). Apoptosis was detected by flow cytometry. The protein expression of FOXO1 in each group was detected by Western blot. Autophagosome formation was observed by acridine orange staining. The mRNA and protein expression levels of Beclin1, LC3II and P62 were detected by qRT-PCR and Western blot.Results After being treated with 100 μmol/L quercetin for 12 h, the formation of fat droplets and apoptosis of foam cells were inhibited (P<0.05). Compared with control group, there was an increase in fat droplet formation and apoptosis (P<0.05), a decrease in autophagosome (P<0.05), a decrease in FOXO1 protein expression (P<0.05), a decrease in Beclin1 and LC3II protein and mRNA expression levels (P<0.05), and the expression levels of P62 protein and mRNA were found to be increased (P<0.05) in model group. Compared with model group, quercetin treatment up-regulated FOXO1 protein expression (P<0.05), induced autophagosome formation (P<0.05), promoted the protein and mRNA expression levels of Beclin1 and LC3II (P<0.05), and inhibited the protein and mRNA expression levels of P62 (P<0.05). In addition, treatment with the FOXO1 inhibitor AS1842856 reversed quercetin’s effect on OX-LDL-induced foam cells.Conclusion Quercetin induced autophagy by upregulating FOXO1 expression and inhibited fat droplet formation induced by OX-LDL.]]> 2024/10/8 21:21:44 2024/10/8 21:18:25 2024/10/8 21:14:50 Bacteroides, Bifidobacterium and Clostridium butyricum undergo significant alterations. These changes lead to a decline in the metabolites produced by the gut flora, including short chain fatty acids (SCFAs), bile, indole and indole derivatives. As a result, the homeostasis of the gut microbiota becomes disrupted, leading to an imbalance in the intestinal microbial ecosystem. The interaction between the intestinal flora and its metabolites and the intestinal immune system has been studied and a high correlation between the intestinal flora and the immune function of the intestinal mucosa has been proposed. Under normal circumstances, a healthy immune system and gut flora are mutually reinforcing and promote the health of the host. However, with age, the integrity of intestinal mucosa and the homeostasis of intestinal flora are disrupted, resulting in a decline in the immune response and regulatory capacity and an inability to respond effectively to various exogenous insults. Meanwhile, the ongoing damage to the immune system further exacerbates the imbalance in the gut flora. Changes in the gut flora of the elderly affect the diversity and levels of key immune molecules such as defensins and immunoglobulin A (IgA). Abnormal expression of immune molecules in the gut also leads to changes in the composition of the gut microbiome, affecting gut health and potentially increasing the risk of disease. The metabolites of intestinal flora interact with intestinal receptors, activate relevant signalling pathways, directly regulate immune cells and control the immune system, influence the intestinal barrier and intestinal immune functions, and exert immunoregulatory effects on the intestine. As the relationship between gut flora and immune aging becomes clearer, future research can explore strategies for targeted regulation of gut flora for anti-aging and immune enhancement. In this paper, we further explore the regulation of gut flora and gut immune function by dietary intervention and fecal microbiota transplantation (FMT) to achieve the goal of delaying immune aging. Dietary intervention promotes the growth of beneficial bacteria by adjusting the structure of the elderly’s diet and supplementing with microbial preparations, maintaining the intestinal barrier and reducing chronic inflammation. FMT involves the transplantation of faeces from healthy individuals into recipients to improve mucosal integrity and promote microbial diversity. This paper has discussed the complex mechanism between aging, gut flora and immune response, highlighted the research progress of gut flora anti-aging methods, with the aim of providing a reference for research on targeted gut flora regulation to promote gut mucosal immune function for health promotion and anti-aging.]]> 2024/10/5 22:50:20 2024/10/5 22:20:14 Objective Electroencephalography (EEG) serves as a non-invasive electrophysiological monitoring technique employed to record brain electrical activity. Nonetheless, traditional EEG electrodes are susceptible to reference activation influences and exhibit limited spatial resolution. Laplacian electrodes, devoid of reference dependencies, possess the potential to amplify the spatial resolution of EEG recordings. Anchored in the utilization of bipolar concentric ring Laplacian electrodes, this study delves into the autonomous referencing attributes intrinsic to Laplacian electrodes. Furthermore, it conducts a comparison of spatial resolution disparities between Laplacian electrodes and their conventional counterparts.Methods A three-dimensional (3D) hemispherical tank experiment was conducted utilizing 21 Ag/AgCl bipolar concentric ring Laplacian electrodes to simulate whole-brain signal acquisitions. A sinusoidal signal with an amplitude of 400 mVpp@13 Hz was employed for detection. The positions of the ground electrodes in the Laplacian electrode array were varied, alongside the reference electrode positions in the case of the traditional electrodes. Subsequently, the spatial distribution of the 13 Hz source frequency component was extracted and subjected to comprehensive analysis.Results With varying ground electrode positions, the spatial distribution of the signal-to-noise ratio (SNR) among Laplacian electrodes maintains remarkable consistency, yielding a correlation coefficient of 0.94. In contrast, for traditional electrodes, the correlation coefficient for SNR distribution under distinct reference electrode positions barely reaches 0.07. While Laplacian electrodes exhibit independence from reference electrodes, traditional counterparts display a notable susceptibility to changes in reference electrode positions. Comparing amplitude’s 3 dB attenuation area ratio, Laplacian electrodes showcase a mere 2.1% reduction, a significantly favorable outcome when juxtaposed with the 6.9% reduction evident in traditional electrodes. Similarly, the SNR’s 3 dB attenuation area ratio for Laplacian electrodes is a mere 1.0%, contrasting with the considerably higher figure of 30.1% for traditional electrodes.Conclusion Laplacian electrodes remain impervious to reference electrode influence, displaying distinctive reference-independent attributes, in addition to boasting a heightened spatial resolution. These characteristics imbue them with the capacity to achieve heightened precision in localizing brain electrical activities, thus constituting a cornerstone for the integration of Laplacian electrodes into brain-computer interfaces (BCIs).]]> 2024/10/5 22:13:45 Objective Photoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected.Methods The advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively.Results In the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice.Conclusion This work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.]]> 2024/10/5 22:11:35 via their surface structures. Recent advances suggest that inorganic nanomaterials can delicately catalyze the formation of biomolecules, aid in macromolecular assembly, and provide radiation shielding. Furthermore, nanominerals are found in abundance across Earth and extraterrestrial environments. This paper seeks to explore the potential of nanozymes as catalytic agents in the processes that gave rise to life, integrating the catalytic roles of inorganic minerals with the unique attributes of nanozymes, which will provide a new perspective for research of origin of life.]]> 2024/10/5 10:26:21 Objective Stroke is a leading cause of death and disability worldwide, with ischemic stroke accounting for 80%-85% of cases. Despite the prevalence, effective treatments remain scarce. The compelling evidence suggest that high concentrations of ATP in the brain post-stroke can trigger irreversible neuronal damage and necrosis, contributing to a range of neurocellular dysfunctions. Pyroptosis, a recently identified form of programmed cell death, is characterized by caspase-1 activation and the action of the Gasdermin D (GSDMD) protein family, leading to cell perforation and inflammatory death.Methods In this study, human neuroblastoma SH-SY5Y cells were used to investigate the mechanisms of ATP-induced neurotoxicity and the protective effects of hydrogen sulfide (H₂S) against this toxicity through the antagonization of pyroptosis. We employed CCK-8 and LDH assays to assess cell viability. YO-PRO-1 fluorescent dyes and flow cytometry were conducted for detecting changes in cell membrane permeability. Western blot analysis was used to measure protein levels associated with cellular dysfunction.Results Our results indicate that high concentrations of ATP enhance cytotoxicity and increase cell membrane permeability in SH-SY5Y cells, that are mitigated by the H₂S donor NaHS. Furthermore, ATP was found to promote the activation of the NOD-like receptor pyrin domain-containing 1 (NLRP-1), caspase-1, and the cleavage of GSDMD, with NaHS significantly attenuating these effects.Conclusion Our research suggests that H₂S protects SH-SY5Y cells from ATP-induced neurotoxicity through a mechanism mediated by the NLRP1, caspase-1, and GSDMD pathway.]]> 2024/10/2 12:12:28 Objective Tomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas.Methods To address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model"s discriminative capability.Results Compared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting.Conclusion This study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.]]> 2024/10/2 9:50:33 2024/10/2 8:06:25 Objective To explore the mechanism of exercise intervention in improving autism-like behaviors in Shank3 gene knockout (Shank3^-/-) induced autism spectrum disorder (ASD) rat models from an autophagy perspective through 8-week swimming intervention.Methods Based on genotype identification and exercise intervention, rats were divided into four groups (n=15): wild-type control group (WC), Shank3^-/- control group (KC), wild-type swimming group (WS), and Shank3^-/- swimming group (KS). KS and WS groups underwent 8 weeks of swimming exercise, 5 d/week, gradually increasing to and maintaining 40 min/session. Behavioral experiments, including self-grooming test, marble burying test, and hole-board test, were conducted 24 h after the final swimming intervention. Tissue sampling was performed 12 h after behavioral testing. Transmission electron microscopy was used to observe autophagosome numbers in the striatum region. Immunofluorescence staining was employed to observe the expression levels of microtubule-associated protein 1 light chain 3 (LC3) and selective autophagy adaptor protein (p62). Quantitative real-time polymerase chain reaction (qPCR) and Western blot were used to detect protein and mRNA expression of Beclin1, LC3, p62, autophagy-related protein 5 (Atg5), autophagy-related 16-like protein 1 (Atg16L), and lysosome-associated membrane protein 1 (LAMP1) in striatal.Results Compared with the WC group, rats in the KC group exhibited significantly higher self-grooming frequency and duration (P0.05), increased marble burying behavior (P0.01), and elevated frequencies in both hole-board exploration and single-hole exploration (P0.05). Following 8 weeks of swimming intervention, the KS group demonstrated significantly reduced self-grooming duration, marble burying behavior, and single-hole exploration frequency compared to the KC group. Furthermore, compared to the WC group, the KC group displayed abundant autophagosomes in the striatum region, along with significantly elevated protein and mRNA expression levels of Atg5, Atg16L, p62, and LC3II/LC3I ratio (P0.05), increased Beclin1 protein levels (P0.05), and markedly decreased LAMP1 protein and mRNA expression levels (P0.05). Following the 8-week swimming intervention, the KS group exhibited significantly reduced protein and mRNA expression levels of Atg5, Atg16L, p62, and LC3II/LC3I ratio (P0.05), decreased Beclin1 protein levels (P0.05), and significantly elevated LAMP1 protein and mRNA expression levels (P0.05) compared to the KC group.Conclusion Early 8-week swimming can alleviate stereotyped behaviors in Shank3^-/- rats by regulating striatal cell autophagy.]]> 2024/10/2 8:03:25 2024/9/27 14:41:10 2024/9/26 11:11:27 SPINK5 mutations are closely associated with the development of various skin diseases, such as Netherton’s syndrome and atopic dermatitis, and SPINK5 is able to inhibit the activation of the STAT3 signaling pathway, thereby effectively preventing the metastasis of melanoma cells, which is important in preventing the invasion and migration of malignant tumors. Secondly, SPINK6 is mainly distributed in the epidermis and contains lysine and glutamate residues, which can act as a substrate for epidermal transglutaminase to maintain the normal structure and function of the skin. In addition, SPINK6 can activate the intracellular ERK1/2 and AKT signaling pathways through the activation of epidermal growth factor receptor and protease receptor-2 (EphA2), which can promote the migration of melanoma cells, and SPINK6 further deepens its role in stimulating the migration of malignant tumor cells by inhibiting the activation of STAT3 signaling pathway. This process further deepens its potential impact in stimulating tumor invasive migration. Furthermore, SPINK7 plays a role in the pathology of some inflammatory skin diseases, and is likely to be an important factor contributing to the exacerbation of skin diseases by promoting aberrant proliferation of keratinocytes and local inflammatory responses. Finally, SPINK9 can induce cell migration and promote skin wound healing by activating purinergic receptor 2 (P2R) to induce phosphorylation of epidermal growth factor and further activating the downstream ERK1/2 signaling pathway. In addition, SPINK9 also plays an antimicrobial role, preventing the interference of some pathogenic microorganisms. Taken as a whole, some members of the SPINK family may be potential targets for the treatment of dermatological disorders by regulating multiple biological processes such as keratinization metabolism and immuno-inflammatory processes in the skin. The development of drugs such as small molecule inhibitors and monoclonal antibodies has great potential for the treatment of dermatologic diseases, and future research on SPINK will help to gain a deeper understanding of the physiopathologic processes of the skin. Through its functions and regulatory mechanisms, the formation and maintenance of the skin barrier and the occurrence and development of inflammatory responses can be better understood, which will provide novel ideas and methods for the prevention and treatment of skin diseases.]]> 2024/9/26 10:49:04 2024/9/20 21:58:15 Nature’s seven technologies to watch in 2024. The development of these techniques remains an important area of research. We introduce the development of multi-color SMLM, three-dimensional (3D) SMLM, and nanoscale resolution microscopes. We describe several methods to achieve multi-color SMLM. Sequential imaging and Exchange-PAINT require image targets in sequence, excitation or emission spectral demixing can obtain multi-color images simultaneously based on spectral difference between fluorescent dyes, dual-channel spectroscopic SMLM to achieve simultaneous imaging and spectral analysis of each molecule, and techniques based on binding kinetics of PAINT achieve multi-color by designing the blinking behavior of targets with engineered binding frequency and duration in DNA-PAINT. We then discuss various approaches for 3D imaging. Point spread function (PSF) engineering techniques manipulate the shape and properties of the PSF to improve 3D localization accuracy. Multi-plane imaging methods capture images from different focal planes and reconstruct them to obtain 3D information. Interferometry methods use single molecule interference to achieve high precision in axial localization, providing another way for high resolution 3D nanoscopy. Finally, we highlight advances in new nanoscale resolution microscopes based on modulated illumination patterns, including minimal photon fluxes (MINFLUX), repetitive optical selective exposure (ROSE), ROSE-Z, SIMFLUX, SIMPLE, and ModLoc. MINFLUX is known for its ability to achieve ultra-high resolution by detecting minimal photon fluxes from single molecules using a doughnut-shaped excitation spot to spatially modulate excitation intensities. Typically, we focus on ROSE and ROSE-Z, which outperform other techniques, using a resonant mirror to eliminate localization errors caused by fluorescence blinking. Recently, resolution enhancement by sequential imaging (RESI) and one nanometre expansion (ONE) was introduced to achieve resolution down to the ?ngstr?m scale. Nanoscopy serves as a new role between super resolution microscopy and structural biology and will lead to more discoveries in complex biological systems. Overall, this article provides a comprehensive overview of current advances in super-resolution imaging techniques, highlighting their contributions to overcoming the diffraction limit and enabling detailed observation of nanoscale biological structures, and provides an outlook on promising new techniques and applications. Through detailed descriptions of the principles, benefits, and applications of multi-color and 3D techniques, the article highlights new nanoscale imaging techniques that are expanding our ability to visualize and understand the intricate details of molecular and cellular processes. We hope that this article can be a primer resource for both newcomers and seasoned practitioners of SMLM.]]> 2024/9/20 21:40:38 2024/9/20 15:44:37 Nature as one of the seven most noteworthy frontier technologies to watch in 2023. However, the development and application of vEM-related technologies started late in China and need to be further promoted. We write this review to introduce all related vEM technologies, covering the development history of vEM, technology classification, sample preparation, data collection, image processing, etc., which is convenient for people in various fields to understand, learn, apply and further develop this technology.]]> 2024/9/20 15:36:12 2024/9/18 23:22:06 2024/9/16 11:06:13 2024/9/13 18:33:13 n=63) and undergraduate (n=39) students were enrolled in a teaching research study where glycolysis was taught using the “hexose equal division” method, followed by a questionnaire survey. The results showed that before receiving the “hexose equal division” teaching, students found it challenging to grasp and retain the steps of glycolysis, with the reactions being prone to be forgotten after memorization. However, after employing the “hexose equal division” teaching method, the majority of graduate students reported that glycolysis steps became more comprehensible and easier to recall compared to the “sequential teaching method” used during their undergraduate studies. This same approach was applied to undergraduate students, and a statistical analysis revealed no significant difference (P>0.05) in outcome between the two groups. Consequently, the “hexose equal division” teaching method has been shown to enhance students" understanding of the glycolysis mechanism, aid in memorization, and encourage independent thinking, thus leading to improved learning outcomes.]]> 2024/9/12 15:02:37 2024/9/11 21:17:56 in situ cryo-electron microscopy (cryo-EM) and artificial intelligence (AI) technologies, the research of structural biology has undergone a paradigm shift. Structural analysis is no longer confined to isolated and purified biomolecules, and determination of high-resolution in situ structures directly within cells and tissues becomes feasible. Furthermore, structural analysis of the molecular landscapes of subcellular regions can be performed to gain a deeper understanding of the molecular mechanisms of living activities in the native functional context. Through determining in situ structures of various protein complexes within the cell, it is feasible to visualize the proteome with spatial and quantitative information, which is often referred to as visual proteomics. Emerging in situ structural methods represented by cryo-electron tomography (cryo-ET) hold the promise to elucidate the three-dimensional interaction networks of the intracellular proteome and understand their activities in a systematic manner. To advance in situ cryo-EM/ET and visual proteomics in China, this review summarizes the new research paradigms and technological advances, showcases the superiority of new concepts and technologies with representative examples, and discusses the future prospects in the field.]]> 2024/9/10 15:51:17 2024/9/10 15:44:40 C/EBPβ, C/EBPδ, and PPARγ. KLF15 KO mice show reduced lipogenesis and increased lipolysis, highlighting its importance in fat storage and energy balance. In brown adipose tissue (BAT), KLF15 regulates genes involved in lipid uptake and thermogenesis, such as CD36, Slc25a20, and Cpt1a. KLF15 KO mice fail to maintain body temperature during fasting-induced cold exposure, demonstrating the critical role of KLF15 in BAT metabolism and energy balance. Specifically, KLF15 forms positive feedback loops with adipogenic transcription factors such as glucocorticoid receptor (GR), PPARγ, and C/EBP, promoting adipocyte differentiation and maturation. In BAT, KLF15 is crucial not only for regulating lipid uptake but also for promoting non-shivering thermogenesis by regulating thermogenic genes, thereby helping to maintain body temperature in cold environments. In protein metabolism, KLF15 regulates key enzymes involved in branched chain amino acid (BCAA) metabolism, such as BCAT2 and ALT, which are essential for gluconeogenesis and maintaining blood glucose levels. KLF15 KO mice show reduced expression of these enzymes, leading to impaired amino acid catabolism. KLF15 regulates muscle protein synthesis and degradation through the mTOR pathway and E3 ubiquitin ligases (e.g., Atrogin-1 and MuRF1), indicating its significance in muscle protein metabolism and stress response, especially in glucocorticoid-induced muscle atrophy. Studies have shown that KLF15 expression in muscle tissue is regulated by GR. Glucocorticoids regulate KLF15 expression through GR, which in turn affects the mTOR signaling pathway, inhibiting protein synthesis and promoting protein degradation. This mechanism is particularly significant in glucocorticoid-induced muscle atrophy. KLF15 also responds significantly to exercise, particularly acute endurance exercise and long-term aerobic training. Acute endurance exercise increases KLF15 expression in muscle and adipose tissue, enhancing lipid synthesis and protein catabolism. In contrast, chronic exercise reduces KLF15 expression, improving insulin sensitivity and mitigating diabetes-induced myopathy. However, further research is needed to explore the effects of different forms of exercise on KLF15 and its specific roles in various tissues. In conclusion, KLF15 plays a crucial role in maintaining overall metabolic balance. It regulates glucose, lipid, amino acid, and protein metabolism, responding to nutritional status and exercise to maintain energy homeostasis. The role of KLF15 in glucose metabolism involves regulating gluconeogenesis and glucose uptake, in lipid metabolism through regulating fat synthesis and breakdown, and in protein metabolism through influencing branched-chain amino acid metabolism and muscle protein synthesis and degradation. Future research should continue to delve into the specific mechanisms of KLF15 in different metabolic pathways, especially its regulatory roles under various exercise forms and nutritional states, to provide new perspectives and theoretical foundations for treating metabolic diseases.]]> 2024/9/10 14:31:21 KRAS^G12C, BRCA, and NTRK fusion have shown great potential for molecular targeted treatments and gene therapies of PDAC, their broader application is limited by side effects and restricted scope of patients. The advancement of nanotechnology brings new strategies for PDAC treatment. By virtue of unique size characteristics and actual versatility, different drug-delivery nanosystems contribute to overcome the dense stromal barrier, prolong the circulation time of therapeutics and realize precise PDAC treatment by targeted drug delivery. Clinical nanodrugs such as albumin-bound paclitaxel (nab-paclitaxel) and irinotecan liposome greatly improve the pharmacokinetics of conventional chemotherapeutics and promote drug accumulation inside the tumor, thereby are applying to the first-line treatment of PDAC. It is noteworthy that none nanodrugs with active targeting design have been approved for clinical treatment yet, though many are in clinical trials. In this review, we discuss promising targeting strategies based on different nanodrug delivery systems for treatment of PDAC. One major nanostrategy focuses on the tumor cell targeting and its applications in chemotherapy, molecular targeting therapy, gene therapy, and immunotherapy of PDAC. Another nanostrategy targets the tumor microenvironment, which highlights the nanosystems specifically regulating pancreatic stellate cells, immune cells and the extracellular matrix. Recent progress of developing new nanotheraputics for breakthrough in the fight of PDAC are elaborated in this review. We also provide our perspectives on the challenges and opportunities in the field.]]> 2024/9/10 12:37:44 2024/9/10 12:35:10 etc. Recombinant collagen refers to collagen produced by gene splicing technology, where the amino acid sequence is first designed and improved according to one’s own needs, and the gene sequence of improved recombinant collagen is highly consistent with that of human beings, and then the designed gene sequence is cloned into the appropriate vector, and then transferred to the appropriate expression vector. The designed gene sequence is cloned into a suitable vector, and then transferred to a suitable expression system for full expression, and finally the target protein is obtained by extraction and purification technology. Recombinant collagen has excellent histocompatibility and water solubility, can be directly absorbed by the human body and participate in the construction of collagen, remodeling of the extracellular matrix, cell growth, wound healing and site filling, etc., which has demonstrated significant effects, and has become the focus of the development of modern biomedical materials. This paper firstly elaborates the structure, type, and tissue distribution of human collagen, as well as the associated genetic diseases of different types of collagen, then introduces the specific process of producing animal source collagen and recombinant collagen, explains the advantages of recombinant collagen production method, and then introduces the various systems of expressing recombinant collagen, as well as their advantages and disadvantages, and finally briefly introduces the application of animal collagen, focusing on the use of animal collagen in the development of biopharmaceutical materials. In terms of application, it focuses on the use of animal disease models exploring the application effects of recombinant collagen in wound hemostasis, wound repair, corneal therapy, female pelvic floor dysfunction (FPFD), vaginal atrophy (VA) and vaginal dryness, thin endometritis (TE), chronic endometritis (CE), bone tissue regeneration in vivo, cardiovascular diseases, breast cancer (BC) and anti-aging. The mechanism of action of recombinant collagen in the treatment of FPFD and CE was introduced, and the clinical application and curative effect of recombinant collagen in skin burn, skin wound, dermatitis, acne and menopausal urogenital syndrome (GSM) were summarized. From the exploratory studies and clinical applications, it is evident that recombinant collagen has demonstrated surprising effects in the treatment of all types of diseases, such as reducing inflammation, promoting cell proliferation, migration and adhesion, increasing collagen deposition, and remodeling the extracellular matrix. At the end of the review, the challenges faced by recombinant collagen are summarized: to develop new recombinant collagen types and dosage forms, to explore the mechanism of action of recombinant collagen, and to provide an outlook for the future development and application of recombinant collagen.]]> 2024/9/10 12:29:44 Objective At present, the most commonly used photosensitizers in photodynamic therapy are still chemical photosensitizers, such as porphyrin and methylene blue, in order to specifically target cellular tissues, and thus poison cells, chemical photosensitizers need to use antibody conjugation or a transgenically encoded tag with affinity for the modified photosensitizing ligand, e.g. FlAsH, ReAsh or Halo Tag. Gene-encoded photosensitizers can directly poison cells by targeting specific cell compartments or organelles. However, currently developed gene-encoded photosensitizers have low reactive oxygen species production and low cytotoxicity, so it is necessary to continue to develop and obtain photosensitizers with higher reactive oxygen species production for the treatment of microbial infections and tumors.Methods In this study, we developed a photosensitizer LovPSO2 based on the light-oxygen-voltage (LOV) structural domain of phototropin-1B-like from Oryza sativa japonica. LovPSO2 was expressed in E. coli BL21(DE3) and purified to obtain protein samples, the purified protein samples were added 3 μmol/L singlet oxygen probe of SOSG and 5 μmol/L superoxide anion probe of DHE after fixed to A₄₄₅=0.063±0.003, respectively, then measured every 2 min of singlet oxygen production for 10 min and every 1 min of superoxide anion production for 5 min under blue light irradiation at 445 nm, 70 μmol·m^-2·s^-1.Results The results showed that LovPSO2 could produce a large amount of singlet oxygen under blue light irradiation at 445 nm, 70 μmol·m^-2·s^-1, and its singlet oxygen quantum yield was 0.61, but its superoxide anion yield was low, so in order to improve the superoxide anion yield of LovPSO2, a mutant with a relatively high superoxide anion yield was obtained by further development and design on its basis LovPRO2. The stability of proteins is crucial for research in drug development and drug delivery, among others. Temperature and light are the key factors affecting the production of reactive oxygen species (ROS) by photosensitive proteins and their stability, while the temperature in cell culture and mammals in vivo is about 37°C, and the temperature inside tumor cells is about 42-45°C. Therefore, we further analyzed the photostability of miniSOG, SOPP3, LovPSO2, and LovPRO2 and their thermostability at 37℃ and 45℃. The analysis of proteins thermostability showed that LovPSO2 and LovPRO2 had better thermostability at 37℃ and 45℃, respectively. Analysis of the photostability of the proteins showed that LovPRO2 had better photostability. In addition, to further determine the phototoxic effects of photosensitizers, LovPSO2 and LovPRO2 were expressed in E. coli BL21(DE3) and HeLa cells, respectively. The results showed that LovPSO2 and LovPRO2 had better phototoxicity to E. coli BL21(DE3) under blue light irradiation, and the cellular phototoxicity lethality was as high as 90% after 30 min of continuous light irradiation, but the phototoxicity was weaker in HeLa cells. The reason for this result may be that the intracellular environment exacerbated the photobleaching of FMN encapsulated by LovPSO2 and LovPRO2, respectively, which attenuated the damage of reactive oxygen species to animal cellular tissues, limiting its use as a mechanistic tool to study oxidative stress.Conclusion LovPSO2 and LovPRO2 can be used as antibacterial photosensitizers, which have broader application prospects in the food and medical fields.]]> 2024/9/10 12:24:36 3H₆O₃, is an intermediate product of glucose metabolism in the body and a raw material for hepatic gluconeogenesis. Under physiological resting conditions, the body mainly relies on aerobic oxidation of sugar and fat for energy supply, so the blood lactate concentration is lower. However, during exercise, the enhanced glycolysis in skeletal muscles leads to the significant release of lactate into the bloodstream, causing a marked increase in blood lactate concentration. Traditionally, lactate has been regarded as a metabolic waste product of glycolysis and a contributor to exercise-induced fatigue. Nevertheless, recent studies have revealed that, in humans, lactate is a major vehicle for carbohydrate carbon distribution and metabolism, serving not only as an energy substance alongside glucose but also as a vital component in various biological pathways involved in cardiac energetics, muscle adaptation, brain function, growth and development, and inflammation therapy. Two primary pathways can elevate lactate levels in neurons during exercise. One is peripheral skeletal muscle-derived lactate, which can enter the bloodstream and cross the blood-brain barrier into the brain with the assistance of monocarboxylate transporters (MCTs) from the solute carrier family 16 (SLC16). The other is the central brain-derived pathway. During exercise, neuronal activity is enhanced, promoting the secretion of neuroactive substances such as glutamate, norepinephrine, and serotonin in the brain. This activates astrocytes to break down glycogen into lactate and stimulates glutamate from the presynaptic terminal into the synaptic cleft. It upregulates the glucose transport protein-1 (GLUT-1) expression, allowing astrocytes to convert glucose into lactate through glycolysis. The lactate is produced via peripheral pathways and central pathways during exercise are transported by astrocyte membrane monocarboxylate transporters MCT1 and MCT4 to the extracellular space, where neurons take it up through neuronal cell membrane MCT2. The lactate in neurons can serve as an alternative energy source of glucose for neuronal functional activities, meeting the increased energy demands of synaptic activity during exercise, and maintaining energy balance and normal physiological function in the brain. Additionally, acting as a signaling molecule lactate can enhance synaptic plasticity through the SIRT1/PGC-1α/FNDC5 and ERK1/2 signaling pathways, lactate can promote angiogenesis by upregulating VEGF-A expression through the PI3K/Akt and ERK1/2 signaling pathways, stimulate neurogenesis via the Akt/PKB signaling pathway, and reduce neuroinflammation through activation of the “lactate timer”. Overall, lactate contributes to the protection of neurons, the promotion of learning and memory, the enhancement of synaptic plasticity, and the reduction of neuroinflammation in the nervous system. While lactate may serve as a potential mediator for information exchange between the peripheral and central nervous systems during exercise, further experimental research is needed to elucidate its action mechanisms in the nervous system. In addition, future studies should utilize advanced neurophysiological and molecular biology techniques to uncover the importance of lactate in maintaining brain function and preventing neurological diseases. Accordingly, this article first reviews the historical research on lactate, then summarizes the metabolic characteristics and neuronal sources of lactate, and finally explores the role and mechanisms of exercise-induced lactate in the nervous system, aiming to provide new perspectives and targets for understanding the mechanisms underlying exercise promotion of brain health.]]> 2024/9/5 16:42:24 2024/9/5 16:40:16 Objective To investigate the role of paraventricular nucleus (PVN) corticotropin releasing hormone (CRH) neurons in chronic restraint stress (CRS)-induced anxiety-like behavior. And whether exercise relieves chronic restraint stress-induced anxiety through PVN CRH neurons.Methods Twenty 8-week-old male C57BL/6J mice were randomly divided into control (Ctrl) group and chronic restraint stress (CRS) group. The open field test (OFT) and elevated plus maze (EPM) were used to evaluate anxiety-like behavior of the mice. Food intake was recorded after CRS. Immunofluorescence staining was used to label the expression of c-Fos expression in PVN and calculate the co-expression of c-Fos and CRH neurons. We used chemogenetic activation of PVN CRH neurons to observed the anxiety-like behavior. 8-week treadmill training (10-16 m/min, 60 min/d, 6 d/week) were used to explore the role of exercise in ameliorating CRS-induced anxiety behavior and how PVN CRH neurons involved in it.Results Compared with Ctrl group, CRS group exhibited significant anxiety-like behavior. In OFT, the mice in CRS groups spent less time in center area (P<0.001). In EPM, the time in open arm in CRS group were significantly decreased (P<0.001). Besides, food intake was also suppressed in CRS group compared with Ctrl group (P<0.05). Compared with Ctrl group, CRS significantly increase c-Fos expression in PVN and most of CRH neurons co-express c-Fos (P<0.001). Chemogenetic activation of PVN CRH neurons induced anxiety-like behavior (P<0.05) and inhibited feeding behavior (P<0.01). Exercise relieves chronic restraint stress-induced anxiety (P<0.001) and relieved the anorexia caused by chronic restraint stress (P<0.05). Aerobic exercise inhibited the CRS labeled c-Fos in PVN CRH neurons (P<0.001). Furthermore, ablation of PVN CRH neurons attenuated CRS induced anxiety-like behavior.Conclusion CRS activated PVN CRH neurons, induced anxiety-like behavior and reduced food intake. 8-week exercise attenuated CRS-induced anxiety-like behavior through inhibiting PVN CRH neuron. Ablation of CRH PVN neurons ameliorated CRS-induced anxiety-like behavior. These finding reveals a potential neural mechanism of exercise-relieving CRS-induced anxiety-like behavior. This provides a new idea and theoretical basis for the treatment of anxiety and related mental disorders.]]> 2024/9/5 16:38:29 3H₆O₃, is an intermediate product of glucose metabolism in the body and a raw material for hepatic gluconeogenesis. Under physiological resting conditions, the body mainly relies on aerobic oxidation of sugar and fat for energy supply, so the blood lactate concentration is lower. However, during exercise, the enhanced glycolysis in skeletal muscles leads to the significant release of lactate into the bloodstream, causing a marked increase in blood lactate concentration. Traditionally, lactate has been regarded as a metabolic waste product of glycolysis and a contributor to exercise-induced fatigue. Nevertheless, recent studies have revealed that, in humans, lactate is a major vehicle for carbohydrate carbon distribution and metabolism, serving not only as an energy substance alongside glucose but also as a vital component in various biological pathways involved in cardiac energetics, muscle adaptation, brain function, growth and development, and inflammation therapy. Two primary pathways can elevate lactate levels in neurons during exercise. One is peripheral skeletal muscle-derived lactate, which can enter the bloodstream and cross the blood-brain barrier into the brain with the assistance of monocarboxylate transporters (MCTs) from the solute carrier family 16 (SLC16). The other is the central brain-derived pathway. During exercise, neuronal activity is enhanced, promoting the secretion of neuroactive substances such as glutamate, norepinephrine, and serotonin in the brain. This activates astrocytes to break down glycogen into lactate and stimulates glutamate from the presynaptic terminal into the synaptic cleft. It upregulates the glucose transport protein-1 (GLUT-1) expression, allowing astrocytes to convert glucose into lactate through glycolysis. The lactate is produced via peripheral pathways and central pathways during exercise are transported by astrocyte membrane monocarboxylate transporters MCT1 and MCT4 to the extracellular space, where neurons take it up through neuronal cell membrane MCT2. The lactate in neurons can serve as an alternative energy source of glucose for neuronal functional activities, meeting the increased energy demands of synaptic activity during exercise, and maintaining energy balance and normal physiological function in the brain. Additionally, acting as a signaling molecule lactate can enhance synaptic plasticity through the SIRT1/PGC-1α/FNDC5 and ERK1/2 signaling pathways, lactate can promote angiogenesis by upregulating VEGF-A expression through the PI3K/Akt and ERK1/2 signaling pathways, stimulate neurogenesis via the Akt/PKB signaling pathway, and reduce neuroinflammation through activation of the “lactate timer”. Overall, lactate contributes to the protection of neurons, the promotion of learning and memory, the enhancement of synaptic plasticity, and the reduction of neuroinflammation in the nervous system. While lactate may serve as a potential mediator for information exchange between the peripheral and central nervous systems during exercise, further experimental research is needed to elucidate its action mechanisms in the nervous system. In addition, future studies should utilize advanced neurophysiological and molecular biology techniques to uncover the importance of lactate in maintaining brain function and preventing neurological diseases. Accordingly, this article first reviews the historical research on lactate, then summarizes the metabolic characteristics and neuronal sources of lactate, and finally explores the role and mechanisms of exercise-induced lactate in the nervous system, aiming to provide new perspectives and targets for understanding the mechanisms underlying exercise promotion of brain health.]]> 2024/9/5 15:12:48 Objective Chemotherapy is one of the important therapeutic approaches for cancer treatment. However, the emergence of multidrug resistance and side effects significantly limit its application. To address these challenges, chemotherapy is often combined with other drugs or therapies. Among the 13 human fucosyltransferases (FUTs) identified, FUT8 (alpha-(1,6)-fucosyltransferase) is the only enzyme responsible for core fucosylation. Core fucosylation plays an important role in cancer occurrence, metastasis and chemotherapy resistance, making the suppression of FUT8 a potential strategy for reversing multidrug resistance. This study aims to evaluate the feasibility of combining the small molecule FUT8 inhibitor 2FF (2-deoxy-2-fluoro-L-fucose) with the clinical chemotherapeutic drug doxorubicin (DOX) for treating malignant tumors.Methods The human hepatocellular carcinoma cell line HepG2 and mouse colon cancer cell line CT26 cells were treated with 2FF, DOX or their combination and core fucosylation levels were assessed using Lectin Blot. HepG2 and CT26 cells were exposed to 50 μmol/L 2FF for 72 h, followed by treatment with a gradient concentration of DOX for 24 h. Cell viability and IC₅₀ values were determined via the CCK-8 assay. Transwell invasion assays were conducted to evaluate the combited effect of 2FF and DOX on the invasion ability of HepG2 cells. Flow cytometry was performed to analyze the impact of 2FF, DOX and their combination on membrane PD-L1 expression of HepG2 cells. To assess the in vivo effect, 6 to 8 week old female BALB/c mice (20-25 g), were subcutaneously injected with 1×10⁶ CT26 cells into the right axilla (four groups, six mice in each group). After the average tumor volume reached 100 mm³, mice were treated with DOX, 2FF, their combination, or saline (mock group) every other day. DOX was administanted intraperitoneally (2 mg/kg), 2FF intravenously (5 mg/kg), and the combination group, received the both treatment. Tumor size was measured every other day using a vernier caliper.Results This study demonstrated that DOX upregulates the core fucosylation level in HepG2 and CT26 cells,while 2FF effectively inhibits this DOX-induced effect. Furthermone, 2FF enhanced the sensitivity of HepG2 and CT26 cells to DOX. The combination of 2FF and DOX synergistically inhibited the invasion ability of HepG2 cells, and enhanced the anti-tumor efficacy of CT26 subcutaneous tumor model in BALB/c mice. However the combination thertment led to weight loss in mice. In addition, DOX increased the cell surface PD-L1 expression in HepG2 cells, which was effectively suppressed by 2FF.Conclusion The FUT8 inhibitor 2FF effectively suppresses DOX-induced upregulation of core fucosylation and PD-L1 levels in tumor cells, and 2FF synergistically enhances the anticancer efficacy of DOX.]]> 2024/9/4 16:03:12 2024/9/4 15:49:49 2024/9/4 15:34:50 TMEM43 gene. This protein consists of 400 amino acids and has 4 transmembrane domains and 1 membrane-associated domain. TMEM43 is localized to various biological membranes within the cell, such as the cell membrane and nuclear membrane, where it forms transmembrane channels for various ions. Additionally, TMEM43 is expressed in many species, showing high genetic similarity, especially with the four transmembrane domains being highly conserved. Current studies on the TMEM43 gene are still in its early stages, mainly focusing on its association with arrhythmogenic right ventricular cardiomyopathy (ARVC) and cancer. However, recent studies suggest that pathogenic mutations in TMEM43 may cause auditory neuropathy spectrum disorder (ANSD). Patients with TMEM43 p.Ser372Ter exhibited late-onset progressive ANSD. Impact of TMEM43 pathogenic mutations on individual hearing was likely mediated through effects on gap junction (GJ) structures on glia-like supporting cells (GLS), cell membranes. The TMEM43 p.Arg372Ter pathogenic mutation primarily affected the structure and function of TMEM43 protein, leading to premature termination of protein translation and the production of a truncated protein. Abnormal TMEM43 protein significantly reduced K⁺ influx in GLS cells, disrupting the endolymphatic K⁺ circulation and cochlear microenvironment homeostasis. When K⁺ circulation was obstructed, the endocochlear potential (EP) became abnormal, impairing the physiological function of hair cells and potentially leading to hearing impairment. However, it is important to note that studies on the mechanism is limited, and more experimental evidence is needed to confirm this hypothesis. Currently, there is a significant gap in research on TMEM43 and hearing loss, with many issues remaining unresolved. While TMEM43 has been studied in relation to hearing loss in humans, zebrafish, mice, and rats, the research is still preliminary. Detailed investigations into the molecular pathogenic mechanisms, the impact of mutations on hearing damage, and related therapeutic strategies are needed. Additionally, as a newly identified hearing loss-related gene, the mutation frequency and incidence of hearing disorders associated with TMEM43 have not been effectively quantified. For example, the ClinVar database listed 829 mutation sites for the TMEM43 gene, with only three mutations related to auditory neuropathy: c.605A>T (p.Asn202Ile), c.889T>A (p.Phe297Ile), and c.1114C>T (p.Arg372Ter). Aside from the aforementioned TMEM43 c.1114C>T (p.Arg372Ter) mutation observed in patients, the other two mutations were experimentally induced and have not been found in patients. Consequently, these mutations have been classified as unknown significance. We reviewed the current understanding of TMEM43 and hearing loss, analyzed its role in ear development and sound conduction, and explored the impact of TMEM43 gene variations on hearing loss, aiming to provide new insights for future research and precision medicine related to TMEM43.]]> 2024/9/3 11:49:52 Objective Triple-negative breast cancer (TNBC) is the breast cancer subtype with the worst prognosis, and lacks effective therapeutic targets. Colony stimulating factors (CSFs) are cytokines that can regulate the production of blood cells and stimulate the growth and development of immune cells, playing an important role in the malignant progression of TNBC. This article aims to construct a novel prognostic model based on the expression of colony stimulating factors-related genes (CRGs), and analyze the sensitivity of TNBC patients to immunotherapy and drug therapy.Methods We downloaded CRGs from public databases and screened for differentially expressed CRGs between normal and TNBC tissues in the TCGA-BRCA database. Through LASSO Cox regression analysis, we constructed a prognostic model and stratified TNBC patients into high-risk and low-risk groups based on the colony stimulating factors-related genes risk score (CRRS). We further analyzed the correlation between CRRS and patient prognosis, clinical features, tumor microenvironment (TME) in both high-risk and low-risk groups, and evaluated the relationship between CRRS and sensitivity to immunotherapy and drug therapy.Results We identified 842 differentially expressed CRGs in breast cancer tissues of TNBC patients and selected 13 CRGs for constructing the prognostic model. Kaplan-Meier survival curves, time-dependent receiver operating characteristic curves, and other analyses confirmed that TNBC patients with high CRRS had shorter overall survival, and the predictive ability of CRRS prognostic model was further validated using the GEO dataset. Nomogram combining clinical features confirmed that CRRS was an independent factor for the prognosis of TNBC patients. Moreover, patients in the high-risk group had lower levels of immune infiltration in the TME and were sensitive to chemotherapeutic drugs such as 5-fluorouracil, ipatasertib, and paclitaxel.Conclusion We have developed a CRRS-based prognostic model composed of 13 differentially expressed CRGs, which may serve as a useful tool for predicting the prognosis of TNBC patients and guiding clinical treatment. Moreover, the key genes within this model may represent potential molecular targets for future therapies of TNBC.]]> 2024/9/2 16:36:15 2024/9/2 14:46:16 2024/8/31 23:32:43 Objective INF2 is a member of the formins family. Abnormal expression and regulation of INF2 have been associated with the progression of various tumors, but the expression and role of INF2 in hepatocellular carcinoma (HCC) remain unclear. HCC is a highly lethal malignant tumor. Given the limitations of traditional treatments, this study explored the expression level, clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study, we used public databases to analyze the expression of INF2 in pan-cancer and HCC, as well as the impact of INF2 expression levels on HCC prognosis. Quantitative real time polymerase chain reaction (RT-qPCR), Western blot, and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues. The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples. Subsequently, the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments. Finally, the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival, liver cirrhosis and pathological differentiation of HCC patients. The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC. In vivo and in vitro HCC models, upregulated expression of INF2 triggers the proliferation and migration of the HCC cell, while knockdown of INF2 could counteract this effect. INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression, thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis. High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression, and targeting INF2 may be beneficial for HCC patients with high expression of INF2.]]> 2024/8/31 22:33:11 via phosphate ester bonds, histidine phosphorylation is linked through phosphoramide bonds, making it highly sensitive to high temperatures and low pH. This sensitivity has historically impeded progress in identifying and studying histidine phosphorylation. In recent years, the development of new techniques in phosphoproteomics and the emergence of pHis-specific antibodies have promoted the identification and functional research of pHis-modified substrates. For the first time, more than 700 pHis-modified proteins have been identified in mammalian cells, and pHis-modified substrates such as focal adhesion kinase (FAK) and phosphoglycerate mutase 1 (PGAM1) have been found to promote tumor development. This article mainly reviewed the key mechanisms and functions of histidine kinases and histidine phosphatases in regulating the histidine phosphorylation of specific substrates, and highlights their significant roles in human physiological and pathological processes, aiming to provide guidance for further research into the biological functions of histidine phosphorylation.]]> 2024/8/31 22:28:44 Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.]]> 2024/8/28 23:30:38 via non-homologous end joining (NHEJ), which tends to introduce indels at the break site. While homology-directed repair (HDR) can achieve precise editing when a donor DNA template is provided, the reliance on DSBs often results in unintended genome damage. HDR is restricted to specific cell cycle phases, limiting its application. Currently, gene editing has evolved to unprecedented levels of precision without relying on DSB and HDR. The development of innovative systems, such as base editing, prime editing, and CRISPR-associated transposases (CASTs), now allow for precise editing ranging from single nucleotides to large DNA fragments. Base editors (BEs) enable the direct conversion of one nucleotide to another, and prime editors (PEs) further expand gene editing capabilities by allowing for the insertion, deletion, or alteration of small DNA fragments. The CAST system, a recent innovation, allows for the precise insertion of large DNA fragments at specific genomic locations. In recent years, the optimization of these precise gene editing tools has led to significant improvements in editing efficiency, specificity, and versatility, with advancements such as the creation of base editors for nucleotide transversions, enhanced prime editing systems for more efficient and precise modifications, and refined CAST systems for targeted large DNA insertions, expanding the range of applications for these tools. Concurrently, these advances are complemented by significant improvements in in vivo delivery methods, which have paved the way for therapeutic application of precise gene editing tools. Effective delivery systems are critical for the success of gene therapies, and recent developments in both viral and non-viral vectors have improved the efficiency and safety of gene editing. For instance, adeno-associated viruses (AAVs) are widely used due to their high transfection efficiency and low immunogenicity, though challenges such as limited cargo capacity and potential for immune responses remain. Non-viral delivery systems, including lipid nanoparticles (LNPs), offer an alternative with lower immunogenicity and higher payload capacity, although their transfection efficiency can be lower. The therapeutic potential of these precise gene editing technologies is vast, particularly in treating genetic disorders. Preclinical studies have demonstrated the effectiveness of base editing in correcting genetic mutations responsible for diseases such as cardiomyopathy, liver disease, and hereditary hearing loss. These technologies promise to treat symptoms and potentially cure the underlying genetic causes of these conditions. Meanwhile, challenges remain, such as optimizing the safety and specificity of gene editing tools, improving delivery systems, and overcoming off-target effects, all of which are critical for their successful application in clinical settings. In summary, the continuous evolution of precise gene editing technologies, combined with advancements in delivery systems, is driving the field toward new therapeutic applications that can potentially transform the treatment of genetic disorders by targeting their root causes.]]> 2024/8/28 22:58:27 etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.]]> 2024/8/28 21:53:00 2024/8/28 21:40:01 2024/8/28 20:47:02 2024/8/28 19:51:31 2024/8/27 17:19:11 2024/8/27 13:52:05 etc. Unlike proteolysis-targeting chimeras first found in 2001, which rely on ubiquitin-proteasome system to mainly degrade intracellular proteins of interest, lysosome-targeting chimeras identified in 2020, which was act as the fastly developing technology, utilize cellular lysosomal pathway through endocytosis mediated by lysosome-targeting receptor to degrade both extracellular and membrane proteins. As an emerging biomedical technology, nucleic acid-driven lysosome-targeting chimeras utilize nucleic acids as certain components of chimera molecule to replace with ligand to lysosome-targeting receptor or protein of interest, exhibiting broad application prospects and potential clinical value in disease treatment and drug development. This review mainly introduced present progress of nucleic acid-driven lysosome-targeting chimeras technology, including its basic composition, its advantages compared with antibody or glycopeptide-based lysosome-targeting chimeras, and focused on its chief application, in terms of the type of lysosome-targeting receptors. Most research about the development of nucleic acid-driven lysosome-targeting chimeras focused on those which utilized cation-independent mannose-6-phosphonate receptor as the lysosome-targeting receptor. Both mannose-6-phosphonate-modified glycopeptide and nucleic aptamer targeting cation-independent mannose-6-phosphonate receptor, even double-stranded DNA molecule moiety can be taken advantage as the ligand to lysosome-targeting receptor. The same as classical lysosome-targeting chimeras, asialoglycoprotein receptor can also be used for advance of nucleic acid-driven lysosome-targeting chimeras. Another new-found lysosome-targeting receptor, scavenger receptor, can bind dendritic DNA molecules to mediate cellular internalization of complex and lysosomal degradation of target protein, suggesting the successful application of scavenger receptor-mediated nucleic acid-driven lysosome-targeting chimeras. In addition, this review briefly overviewed the history of lysosome-targeting chimeras, including first-generation and second-generation lysosome-targeting chimeras through cation-independent mannose-6-phosphonate receptor-mediated and asialoglycoprotein receptor-mediated endocytosis respectively, so that a clear timeline can be presented for the advance of chimera technique. Meantime, current deficiency and challenge of lysosome-targeting chimeras was also mentioned to give some direction for deep progress of lysosome-targeting chimeras. Finally, according to faulty lysosomal degradation efficiency, more cellular mechanism where lysosome-targeting chimeras perform degradation of protein of interest need to be deeply explored. In view of current progress and direction of nucleic acid-driven lysosome-targeting chimeras, we discussed its current challenges and development direction in the future. Stability of natural nucleic acid molecule and optimized chimera construction have a great influence on the biological function of lysosome-targeting chimeras. Discovery of novel lysosome-targeting receptors and nucleic aptamer with higher affinity to the target will greatly facilitate profound advance of chimera technique. In summary, nucleic acid-driven lysosome-targeting chimeras have many superiorities, such as lower immunogenicity, expedient synthesis of chimera molecules and so on, in contrast to classical lysosome-targeting chimeras, making it more valuable. Also, the chimera technology provides new ideas and methods for biomedical research, drug development and clinical treatment, and can be used more widely through further research and optimization.]]> 2024/8/27 13:46:30 etc.), which can control gene expression by regulating chromatin structure. The change of SWI/SNF complex subunits is one of the important factors of tumor drug resistance and progress. SMARCA4 and ARID1A are the most widely studied subunits in tumor drug resistance. Low expression of SMARCA4 can lead to the deletion of the transcription inhibitor of the BCL2L1 gene in mantle cell lymphoma, which will result in transcription up-regulation and significant resistance to the combination therapy of ibrutinib and venetoclax. Low expression of SMARCA4 and high expression of SMARCA2 can activate the FGFR1-pERK1/2 signaling pathway in ovarian high-grade serous carcinoma cells, which induces the overexpression of anti-apoptosis gene BCL2 and results in carboplatin resistance. SMARCA4 deletion can up-regulate epithelial-mesenchymal transition (EMT) by activating YAP1 gene expression in triple-negative breast cancer. It can also reduce the expression of Ca²⁺ channel IP3R3 in ovarian and lung cancer, resulting in the transfer of Ca²⁺ needed to induce apoptosis from endoplasmic reticulum to mitochondria damage. Thus, these two tumors are resistant to cisplatin. It has been found that verteporfin can overcome the drug resistance induced by SMARCA4 deletion. However, this inhibitor has not been applied in clinical practice. Therefore, it is a promising research direction to develop SWI/SNF ATPase targeted drugs with high oral bioavailability to treat patients with tumor resistance induced by low expression or deletion of SMARCA4. ARID1A deletion can activate the expression of ANXA1 protein in HER2+ breast cancer cells or down-regulate the expression of progesterone receptor B protein in endometrial cancer cells. The drug resistance of these two tumor cells to trastuzumab or progesterone is induced by activating AKT pathway. ARID1A deletion in ovarian cancer can increase the expression of MRP2 protein and make it resistant to carboplatin and paclitaxel. ARID1A deletion also can up-regulate the phosphorylation levels of EGFR, ErbB2, and RAF1 oncogene proteins.The ErbB and VEGF pathway are activated and EMT is increased. As a result, lung adenocarcinoma is resistant to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Although great progress has been made in the research on the mechanism of SWI/SNF complex inducing tumor drug resistance, most of the research is still at the protein level. It is necessary to comprehensively and deeply explore the detailed mechanism of drug resistance from gene, transcription, protein, and metabolite levels by using multi-omics techniques, which can provide sufficient theoretical basis for the diagnosis and treatment of poor tumor prognosis caused by mutation or abnormal expression of SWI/SNF subunits in clinical practice.]]> 2024/8/27 13:42:53 Objective For prepubertal and urgently treated malignant tumor patients, ovarian tissue cryopreservation and transplantation represent more appropriate fertility preservation methods. Current clinical practices often involve freezing ovarian tissue with high concentrations of cryoprotectants (CPAs) and thawing with water baths. These processes lead to varying degrees of toxicity and devitrification damage to ovarian tissue. Therefore, this paper proposes optimized methods for vitrification of ovarian tissues based on sodium alginate hydrogel encapsulation and magnetic induction nanowarming technology.Methods Firstly, the study investigated the effects of sodium alginate concentration, the sequence of hydrogel encapsulation and CPAs loading on vitrification efficiency of encapsulated ovarian tissue. Additionally, the capability of sodium alginate hydrogel encapsulation to reduce the required concentration of CPAs was validated. Secondly, a platform combining water bath and magnetic induction nanowarming was established to rewarm ovarian tissue under various concentrations of magnetic nanoparticles and magnetic field strengths. The post-warming follicle survival rate, antioxidant capacity, and ovarian tissue integrity were evaluated to assess the efficacy of the method.Results The study found that ovarian tissue encapsulated with 2% sodium alginate hydrogel exhibited the highest follicle survival rate after vitrification. The method of loading CPAs prior to encapsulation proved more suitable for ovarian tissue cryopreservation, effectively reducing the required concentration of CPAs by 50%. A combination of 8 g/L Fe₃O₄ nanoparticles and an alternating magnetic field of 300 Gs showed optimal warming effectiveness for ovarian tissue. Combining water bath rewarming with magnetic induction nanowarming yielded the highest follicle survival rate, enhanced antioxidant capacity, and preserved tissue morphology.Conclusion Sodium alginate hydrogel encapsulation of ovarian tissue reduces the concentration of CPAs required during the freezing process. The combination of magnetic induction nanowarming with water bath provides an efficient method ovarian tissue rewarming. This study offers novel approaches to optimize ovarian tissues vitrification.]]> 2024/8/27 13:39:37 2024/8/26 16:00:27 TrichoGSDM, present in the basal metazoan Trichoplax adhaerens, is a pore-forming domain-only protein and exists as a disulfides-linked autoinhibited dimer. Reduction of the disulfides by the conserved cytoplasmic antioxidant system, including glutathione (GSH) and thioredoxin (Trx), generates pore-forming active monomers capable of inducing lytic cell death. In filamentous fungus Neurospora crassa, polymorphic regulator of cell death-1 (rcd-1) encodes two GSDM-like proteins RCD-1-1 and RCD-1-2 in incompatible haplostrains, which trigger pyroptosis-like cell death in nonself discrimination (allorecognition) upon encountering during somatic cell fusion. RCD-1-1 and RCD-1-2 are both monomers and structurally similar to mammalian GSDM-N domains, lacking autoinhibitory fragments. They alone could bind acidic phospholipids, and associate with cell membrane in a resting state. Coexistence of RCD-1-1 and RCD-1-2 leads to formation of RCD-1-1/RCD-1-2 heterodimers through molecular mating, which further oligomerize into membrane-inserted pores, causing rapid lytic cell death. These findings reveal mechanistic diversities in GSDM activation and indicate versatile functions of GSDMs. Due to the highly proinflammatory nature of pyroptosis, the pore-forming activities of GSDMs have been illustrated to be precisely regulated at multiple levels. GSDMD transcription and expression is characterized to be induced by interferon regulatory factors 2 (IRF2). mRNA alternative splicing of GSDMB generates various isoforms, some of which exhibit potent pore-forming activity whereas the others bear none. Additionally, different types of post-translational modifications have been identified on GSDMs, playing distinct regulatory roles. For examples, itaconation of GSDMD, succinylation of GSDMD and GSDME, and phosphorylation of GSDMA, GSDMD and GSDME, negatively regulate GSDM pore formation, thereby inhibiting pyroptosis. Conversely, palmitoylation of GSDMD and GSDME, and ubiquitination of GSDMD promote the pore-forming activities and pyroptosis. Moreover, some proteases can cleave within the GSDM-N domains to block their pore-forming activities. On the other hand, bacterial pathogens evolve specific effectors to hijack host pyroptotic defense pathway through targeting upstream caspases, GSDMs or plasma membrane phospholipids. Given the crucial roles of GSDMD in immune defense and pathological inflammation, a few small-molecule inhibitors have been found to directly inhibit GSDMD activity. Since the identification of GSDMs as the executioners of pyroptosis, the GSDM family has attracted broad attention in immunology researches. Significant progress has been made to greatly advance our knowledge about how GSDMs action, and what are the immunological functions of pyroptosis. Investigations of GSDM-targeting therapies are emerging as a promising translational direction. In this paper, we review recent progress in the field of pyroptosis researches, with focus on various molecular mechanisms underlying GSDMs activation and regulation. The biological implication and future direction of pyroptosis research are also discussed.]]> 2024/8/26 15:56:01 de novo protein sequencing. These technological gaps underscore the need for innovative methods to provide more detailed and accurate protein sequence data. In the past decade, new protein sequencing methods, including tunneling current, fluorescence fingerprinting, and real-time dynamic fluorescence, have shown significant developmental potential. However, these methods are not yet ready for widespread application, as each still faces technical hurdles. Meanwhile, advances in nanopore DNA sequencing have sparked interest in applying nanopore technology to protein sequencing, particularly owing to its speed, convenience, and cost-effectiveness. Unlike DNA sequencing, protein sequencing presents greater challenges due to proteins’ complex three-dimensional structures, heterogeneous electrical charges, difficulties in directional movement, and diverse amino acid compositions, further complicated by post-translational modifications. Researchers have made significant strides in addressing these challenges, such as using unfolding enzymes, high temperatures, high voltage, and deformers to unravel protein structures, and employing charged sequences and electroosmotic flow to control peptide translocation. The latest strategies for nanopore protein sequencing can be broadly categorized into three approaches: strand sequencing, enzyme-assisted nanopore sequencing, and nanopore fingerprinting. In strand sequencing, dragging a protein-oligonucleotide conjugate through a nanopore with the aid of protein motors generates stepped current signals produced by the peptide strand. In enzyme-assisted nanopore sequencing, 20 proteinogenic amino acids and various post-translational modifications have been distinguished using nanopores, and sequencing of short peptides has also been demonstrated. In nanopore fingerprinting, polypeptide fragments resulting from protease digestion of a protein can be identified through nanopore sensing. Despite these advances, further improvements in protein engineering, data processing, identification accuracy, and read length are needed to make these strategies practically useful. This review provides an overview of the current major approaches to nanopore protein sequencing, emphasizing the strategies, recent advances, breakthroughs and challenges in nanopore protein sequencing. As nanopore technology continues to evolve, it is expected to offer more efficient and accurate sequencing solutions in proteomics, potentially leading to new technological breakthroughs in biochemistry and biomedicine.]]> 2024/8/26 15:53:01 2024/8/25 22:19:26 Objective In kinesin-3, the neck coil correlates with the following segments to form an extended neck that contains a characteristic hinge diverse from a proline in KIF13B to a long flexible linker in KIF1A. The function of this neck hinge for controlling processive movement, however, remains unclear.Methods We made a series of modifications to the neck hinges of KIF13B and KIF1A and tested their movement using a single-molecule motility assay.Results In KIF13B, the insertion of flexible residues before or after the proline differentially impacts the processivity or velocity, while the removal of this proline increases the both. In KIF1A, the deletion of entire flexible neck hinge merely enhances the processivity. The engineering of these hinge-truncated necks of kinesin-3 into kinesin-1 similarly boosts the processive movement of kinesin-1.Conclusion The neck hinge in kinesin-3 controls its processive movement and proper modifications tune the motor motility, which provides a novel strategy to reshape the processive movement of kinesin motors.]]> 2024/8/25 22:16:36 2024/8/25 20:05:53 2024/8/25 20:02:08 1, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.]]> 2024/8/25 19:46:15 Streptococcus pyogenes CRISPR/Cas9 as example, we will focus on the target residence of CRISPR/Cas in applications of the CRISPR/Cas technology, summarize the recent progress, and discuss the effect of CRISPR/Cas target binding and residence on DNA double strand break repair pathway choices and the opportunities that CRISPR/Cas target residence presents to optimize the CRISPR/Cas technology.]]> 2024/8/25 19:42:43 Pisum sativum and Zea mays), the PSI core binds four LHC proteins arranged as an arc-shaped belt, whereas in green algae, the PSI core is associated with more LHCs, presumably a result of adaption to the low-light aquatic environment. In addition, structures of several green algal PSI complexes indicated that green algae can dynamically regulate their light-harvesting capability by adjusting the size of PSI antennae, thereby better adapting to the changing natural environment. In addition to the light harvesting and energy conversion, PSI is also involved in several photosynthetic regulatory processes, including state transitions and cycle electron flow/transfer (CEF/CET). State transitions represent a short-term regulatory mechanism that balances the energy distribution between the two photosystems. During the process of state transitions, when PSII is preferentially excited, a portion of the PSII antenna, the major light-harvesting complex II (LHCII), is phosphorylated, and these phosphorylated LHCIIs bind to the PSI core, forming the PSI-LHCI-LHCII complex. This process is reversible, and when PSI is preferentially excited, LHCII is dephosphorylated, detaches from the PSI and binds to the PSII. Previous reports revealed that although higher plants and green algae possess a similar process of state transitions, their PSI-LHCI-LHCII complexes exhibit specific characteristics in addition to common conserved features. CEF is another important regulatory process in which the PSI participates. In NDH (NAD(P)H dehydrogenase-like complex) dependent CEF, PSI can form supercomplex with NDH to improve the electron transfer efficiency. Previous reports suggested that the PSI bound to NDH and the PSI not bound to NDH possess different LHC compositions, and the exact protein identity and location were recently unraveled based on high-resolution structures. In the past two decades, a number of structures of PSI and PSI-containing complexes have been determined. These structural data provide important information concerning the protein assembly and pigment arrangement of these complexes, allowing for a deeper understanding of the structure and function of green plant PSI. In this review, we summarize the research progresses on the structure of green plant PSIs and PSI-containing complexes involved in photosynthetic regulation, primarily based on the results obtained in our laboratory, and discuss the current state of knowledge concerning the antenna arrangement and the regulatory mechanisms of plant PSI.]]> 2024/8/24 22:16:39 2024/8/24 22:09:38 Objective Ulcerative colitis is a prevalent immunoinflammatory disease. Th17/Treg cell imbalance and gut microbiota dysregulation are key factors in ulcerative colitis pathogenesis. The actin cytoskeleton contributes to regulating the proliferation, differentiation, and migration of Th17 and Treg cells. Wdr63, a gene containing the WD repeat domain, participates in the structure and functional modulation of actin cytoskeleton. Recent research indicates that WDR63 may serve as a regulator of cell migration and metastasis via actin polymerization inhibition. This article aims to explore the effect of Wdr63 deletion on Th17/Treg cells and ulcerative colitis.Methods We constructed Wdr63^-/- mice, induced colitis in mice using dextran sulfate sodium salt, collected colon tissue for histopathological staining, collected mesenteric lymph nodes for flow cytometry analysis, and collected healthy mouse feces for microbial diversity detection.Results Compared with wild-type colitis mice, Wdr63^-/- colitis mice had a more pronounced shortening of colonic tissue, higher scores on disease activity index and histological damage index, Treg cells decreased and Th17 cells increased in colonic tissue and mesenteric lymph nodes, a lower level of anti-inflammatory cytokine IL-10, and a higher level of pro-inflammatory cytokine IL-17A. In addition, WDR63 has shown positive effects on maintaining intestinal microbiota homeostasis. It maintains the balance of Bacteroidota and Firmicutes, promoting the formation of beneficial intestinal bacteria linked to immune inflammation.Conclusion Wdr63 deletion aggravates ulcerative colitis in mice, WDR63 inhibits colonic inflammation likely by regulating Th17/Treg balance and maintains intestinal microbiota homeostasis.]]> 2024/8/24 21:04:40 2024/8/24 20:02:18 2024/8/24 15:17:39 2024/8/24 14:12:20 in vitro purified protein complexes, protein complexes in a working state within cells are often more complete, and their three-dimensional structures are in a fully physiological conformation. This is crucial for understanding the structural basis of important functions that protein complexes play in life activities and can also provide more precise target information for drug design. The direct in situ structural analysis of protein complexes within cells is known as in situ structural analysis of proteins, and cryo-electron tomography (cryo-ET) is the key technology for in situ structural analysis. However, cryo-ET has limitations such as low data acquisition throughput for tilt series, cumbersome data processing, and special sample requirements to achieve near-atomic resolution. These issues have become bottlenecks limiting the resolution and practical application of in situ structural analysis. In recent years, a method based on the analysis of non-tilted images has developed rapidly, allowing high-throughput, high-resolution structural analysis of protein complexes within cells. This review will discuss the principles of this method, compare its advantages and disadvantages with traditional tomography, and provide an outlook on in situ structural analysis of proteins. It is hoped that this review will assist structural biologists in better choosing suitable tools.]]> 2024/8/24 14:08:24 via the thalamic mediodorsal nuclei, while endogenous pain descending inhibition triggered by conditioning stimulation can be weakened via the thalamic ventromedial nuclei. Psychological factors may contribute to the development of low back pain. The mechanisms governing the generation, maintenance, and alleviation of low back pain in weightlessness differ from those observed in normal gravitational environments. This presents a significant challenge for space medicine research. Therefore, the elucidation of the occurrence and development mechanism of low back pain in weightlessness is important for the prevention and treatment during space flight. To reduce the incidence of low back pain during long-term missions on the space station, astronauts may choose to wear specialized space clothing that can provide axial physiological loads, designed to stimulate both musculature and skeletal structures, mitigating potential increases in vertebral column length, diminished lumbar curvature, and intervertebral disc edema and/or muscular atrophy. Additionally, assuming a “fetal tuck position” described as the knees to chest position may increase lumbar IVD hydrostatic pressure, subsequently reducing disc volume, rectifying diminished lumbar curvature, and alleviating dorsal root nerve tensions. Moreover, this position may reduce type IV mechanoreceptor facilitation and nerve impulse propagation from the sinuvertebral nerves of the annulus fibrosus. Elongated posterior soft tissues (apophyseal joint capsules and ligaments) with spinal flexion may potentially stimulate type I and II mechanoreceptors. It is also recommended to exercise the paraspinal muscles to prevent and alleviate the decrease in their cross-sectional area and maintain their structure and function. Photobiomodulation has been proved to be an effective means of activating the pain descending inhibition pathway of the central nervous system. In addition, astronauts should be encouraged to participate in mission-related activities and strive to avoid psychological problems caused by the long-term confinement in a small space station. The article presents a concise review of potential causes and targeted treatment strategies for low back pain induced by space flight or simulated microgravity in recent years. Its objective is to further elucidate the mechanisms underlying the occurrence and development of low back pain in weightless environments while providing scientific evidence to inform the development of guidelines for preventing, treating, and rehabilitating low back pain during long-term space flights.]]> 2024/8/16 15:28:44 in vitro and in vivo, and play synergistic effects with other therapy approaches, like photodynamic therapy, sonodynamic therapy, and thermochemotherapy. Latterly, some renewed reports in drug loading and controlled release have led to their widespread applications in diverse fields, from cell level to clinical studies. This review introduces the basic characteristics of vaterite and briefly summarizes its research history, followed by synthesis strategies. We subsequently highlight recent developments in drug loading and controlled release, with an emphasis on the advantages, quantity capacity, and comparations. Furthermore, new opportunities for using vaterite in cell level and animal level are detailed. Finally, the possible problems and development trends are discussed.]]> 2024/8/14 19:06:08 Objective Sodium hyaluronate (HA) was used as the research object to modify it with phenolic acid in order to obtain the molecular structure with better antioxidant activity or even new activity.Methods In this study, 5 kinds of phenolic acid-sodium hyaluronate was prepared by free radical-mediated grafting method, and the grafts with the highest grafting degree were selected to optimize the synthesis conditions. Then, grafts structure and physicochemical properties were analyzed. The grafts were characterized by IR, UV, ¹H NMR, FESEM and TGA spectra. The in vitro antioxidant capacity of grafts was determined by the scavenging ability of DPPH·, ABTS⁺· and O^2-·.Results Among 5 kinds of phenolic acid-sodium hyaluronate, the grafting rate of ferulic acid-sodium hyaluronate copolymer (FA-HA) was highest , which was chosen as experimental sample in the following tests. Firstly, the reaction conditions were investigated and the highest grafting rate was (16.59±0.31) mg/g at the optimal preparation conditions. Then, FA-HA structure and physicochemical properties were analyzed. Data from UV, IR, ¹H NMR analyses, TGA showed that FA were successfully grafted to HA. Compared with HA, the results of gel permeation chrematography (GPC) showed that the molecular mass distribution of FA-HA copolymer decreased from 34.4 to 31.5 ku, but the uniformity of molecular distribution was improved. FESEM results showed that the structure of copolymer exhibited a closely connected lamellar structure with a relatively smooth surface. TGA results showed that thermal stability of FA-HA had a little decline. The antioxidant performance in vitro results showed that, during 0.25-10 g/L, FA-HA can eliminate (83.76±4.86)% DPPH·, (76.95±5.06)% ABTS⁺· and (83.08±2.51)% O^2-· respectively at 10 g/L. which were higher than that of native HA and FA.Conclusion FA and HA were successfully grafted together by free radical grafting, and the grafted FA-HA had better antioxidant activity in vitro, which provided a theoretical basis for further research and development of phenolic acid-HA grafts.]]> 2024/8/13 22:14:24 2024/8/9 22:49:56 2024/8/4 13:26:00 e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.]]> 2024/8/2 12:40:35 2), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.]]> 2024/7/25 17:52:36 1-dopamine receptor (D₁R) and substance P, and they mainly participate in the selection, initiation, and execution of movements. The other half are D2-MSNs, which constitute the indirect pathway. These neurons express D₂-dopamine receptor (D₂R) and adenosine 2A receptors and are involved in inhibiting unnecessary movements or terminating ongoing movements, thereby adjusting movement sequences to perform more precise motor behaviors. The direct pathway in the striatum modulates the activity of motor cortex neurons by exciting D1-MSNs through neurotransmitters such as glutamate (Glu), allowing the motor cortex to send signals more freely to the motor system, thus facilitating the generation and execution of specific motor behaviors. Studies using D1-Cre and D2-Cre mice with neurons labeled for D₁R and D₂R have shown that both types of neurons are involved in the execution of movements, with D1-MSNs participating in movement initiation and D2-MSNs in inhibiting actions unrelated to the target movement. These findings suggest that the structural and functional plasticity of D1-MSNs and D2-MSNs in the basal ganglia circuitry enables motor learning and behavioral regulation. Additionally, when SNpc DA neurons begin to degenerate, D1-MSNs are initially affected but do not immediately cause motor impairments. In contrast, when D2-MSNs undergo pathological changes, they are first activated by upstream projecting neurons, leading to the inhibition of most motor behaviors and resulting in motor dysfunction. Therefore, it is hypothesized that motor impairments such as bradykinesia and initiation difficulties are more closely related to the functional activity of D2-MSNs. The extracellular signal-regulated kinase (Erk)/mitogen-activated protein kinase (MAPK) signaling pathway has been identified as a critical modulator in the pathophysiology of PD. Recent findings indicate that Erk/MAPK signaling pathway can mediate DA and Glu signaling in the central nervous system, maintaining normal functional activity of striatal MSNs and influencing the transmission of motor control signals. Within this complex regulatory network, the Erk/MAPK signaling pathway plays a key role in transmitting motor information to downstream neurons, regulating normal movements, avoiding unnecessary movements, and finely tuning motor behaviors. Our laboratory’s previous research found that 4 weeks of aerobic exercise intervention improved motor dysfunction in PD mice by inhibiting the Erk1/2 signaling upstream of striatal MSNs, primarily involving the Erk1/2 signaling in D2-MSNs rather than D1-MSNs. This review summarizes the neurobiological mechanisms of Erk/MAPK signaling pathway in D2-MSNs for the prevention and treatment of motor dysfunction in PD. By exploring the role of this signaling pathway in regulating motor abnormalities and preventing motor dysfunction in the central nervous system of PD, this review provides new theoretical perspectives for related mechanistic research and therapeutic strategies.]]> 2024/7/25 14:58:50 Objective Magnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling.Methods This study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range.Results MEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection.Conclusion These results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.]]> 2024/7/24 15:45:28 2024/7/24 15:36:04 Objective Alveolar macrophages (AMs) are critical for maintaining the homeostasis of pulmonary microenvironment. They process surfactants to ensure alveoli patency, and also serve as the first line of immune defense against pathogen invasion. Available studies have shown that monocyte-derived AMs continuously release pro-inflammatory cytokines and chemokines, recruiting other immune cells to the damaged area during pulmonary fibrosis. These monocyte-derived AMs maintains and amplifies inflammation, playing a negative role in pulmonary fibrosis progression. Current researches have predominantly focused on the gene expression levels of AMs in pulmonary fibrosis microenvironment, with less emphasis on the function and regulation of proteins. This study aims to investigate the differentially expressed proteins (DEPs) of AMs under normal physiological conditions and after pulmonary fibrosis, in order to gain a more comprehensive understanding of the role of AMs in the progression of pulmonary fibrosis.Methods Firstly, the construction of bleomycin-induced pulmonary fibrosis mouse models was evaluated through using measurements such as body mass, lung coefficient, lung wet-to-dry mass ratio, H&E staining and Masson staining. Subsequently, AMs from both the saline controls and the pulmonary fibrosis models (2.5×10⁵ cells per sample) were collected using FACS sorting, and protein expression profiles of these cells were obtained through label-free proteomics approach. The quality of the proteomic data was assessed by comparing our saline control proteomic data with public proteomic data of physiological AMs. Thirdly, DEPs analysis between the saline controls and the bleomycin groups was carried out using R package Prostar. Functional enrichment analyses of significantly upregulated DEPs were performed using R package Clusterprofiler for GO and KEGG pathways. Finally, the STRING database was used to explore the protein-protein interaction networks related to phagocytosis regulation, inflammatory response regulation, and I-κB/NF-κB signaling pathway. The expression levels of Tlr2 and Pycard were detected respectively by FACS and western blotting.Results Compared to the saline controls, mice in the bleomycin groups exhibited a lower average body mass, extensive infiltration of inflammatory cells, and deposition of collagen in the lungs. This indicates that bleomycin successfully induced pulmonary fibrosis in mouse models. The proteomic data of AMs obtained from these models was of high quality and fulfilled the research requirements. A comprehensive analysis showed that 778 proteins were upregulated in pulmonary fibrosis groups compared with control groups. Moreover, the signal pathways enriched in up-regulated DEPs were related to the I-κB/NF-κB pathway, inflammatory response regulation, phagocytosis regulation, TGF-β signaling, and HIF-1 pathway, indicating that AMs in pulmonary fibrosis microenvironment exerted pro-inflammatory and pro-fibrotic functions. Protein-protein interaction network analysis of the DEPs suggested that the interactions between Tlr2 and Pycard were control nodes for the pro-inflammatory phenotype of AMs, thereby contributing to pulmonary fibrosis progression. Further validation by FACS and Western blotting respectively confirmed that the expression levels of Tlr2 and Pycard in AMs were significantly increased after pulmonary fibrosis.Conclusion This study investigates the changes in the protein expression profile of AMs in the pulmonary fibrosis microenvironment. The results show that AMs notably enhanced the activity of various pathways associated with inflammation and fibrosis, suggesting that the interaction between Tlr2 and Pycard serves as a key control node for the highly pro-inflammatory behavior of AMs.]]> 2024/7/24 14:52:00 in vivo brain neurochemical analysis platform, which provides support for future research on the regulation of sleep-wake cycles by movement. We hope it can provide theoretical reference for the formulation of exercise prescription for clinical sleep disorder and give some advice to the combined intervention of drugs and exercise.]]> 2024/7/19 15:44:42 2024/7/10 15:38:53 In vitro cellular models are crucial for elucidating the underlying mechanisms of neuroinflammation. Investigating neuroinflammatory signaling pathways is essential for understanding the intricate network of molecules and cells involved. Key signaling pathways such as NF-κB, MAPK, PI3K/AKT, Nrf2/HO-1, and NLRP3 play critical roles in regulating neuroinflammation. During inflammation, activation of glial cells involves multiple signaling pathways simultaneously, primarily orchestrated by two key factors: MAPK and NF-κB. These pathways guide the inflammatory cascade, leading to the release of numerous inflammatory factors and reactive oxygen species (ROS). These inflammatory factors and ROS have dual effects. Firstly, they can directly harm neighboring neurons, promoting the accumulation of abnormal proteins and triggering neuronal apoptosis. Secondly, inflammatory factor receptors on cell membranes can initiate positive feedback loops that exacerbate the inflammatory response. Neuroinflammation encompasses various cell types within the central nervous system, forming a complex and interconnected malignant cycle. This ultimately culminates in irreversible brain damage. Moreover, innovative therapeutic approaches targeting specific signaling pathways and molecular targets show promise in treating diseases related to neuroinflammation.Various cellular models are commonly employed to investigate neuroinflammation, each focusing on different aspects: pathogen-related models involve substances like lipopolysaccharide(LPS), amyloid β-protein(Aβ), CpG-DNA, and viruses; cytokine models utilize interferon-γ(IFN-γ); metabolic stress models include oxygen-glucose deprivation(OGD), 1-methyl-4-phenylpyridinium (MPP⁺), rotenone, and oxyhemoglobin; environmental toxin models encompass substances such as bisphenol A (BPA), particulate matter (PM2.5), various metals, and nanoparticles; additive substance models involve alcohol, morphine, and methamphetamine (METH). Each model offers distinct advantages and drawbacks for studying neuroinflammation. In conclusion, research on these cellular models and their associated signaling pathways provides crucial insights into the mechanisms underlying neuroinflammation-related diseases. These insights are essential for developing effective therapeutic strategies and advancing clinical practice to address the complexities of neuroinflammatory diseases.]]> 2024/7/3 14:27:06 2024/7/3 14:21:29 Objective Early blight is a common destructive disease in the growth process of Solanaceae crops, which can lead to crop failure and serious losses. Traditional crop disease detection methods are difficult to detect disease characteristics in a timely manner during the incubation period of disease, and thus take scientific and effective prevention and control measures. This study obtained hyperspectral images of early blight of peppers at different infection stages through continuous monitoring with a hyperspectral imager. The earliest identifiable time during the incubation period of early blight in peppers (the earliest identifiable time during the incubation period in this experiment was 24 h after inoculation) was determined using the spectral angle cosine-correlation coefficient and Chebyshev distance.Methods Taking the symptoms of the latent period of early blight in peppers as the research object, 13 characteristic wavelengths were selected using a genetic algorithm. An identification model of crop disease latent period symptoms based on spectral features was established through optimized combinations of characteristic wavelengths combined with a logistic regression model. Simultaneously, a recognition model of the latent period of early blight in peppers based on image texture features was established using local binary patterns.Results The experiment was tested with 120 samples. The accuracy of the identification model of crop disease latent period symptoms based on spectral features reached over 93% in both the training set and the test set. The accuracy of the identification model of crop disease latent period symptoms based on texture features reached 98.96% and 100% in the training set and test set, respectively.Conclusion Both spectral features and texture features can be used to detect and identify crop disease latent period symptoms. Texture features more significantly revealed the characteristics of the latent period of the disease compared to spectral features, effectively improving the detection performance of the model. The research results in this article can provide theoretical references for monitoring and identifying other crop disease latent period symptoms.]]> 2024/7/3 14:18:31 2024/6/27 18:56:23 2024/6/27 18:53:57 in vitro and in vivo toxicology experiments, it was found that the nanozyme demonstrates good biocompatibility and safety. It did not cause any significant changes in body weight, hematological indicators, or histopathology. These findings indicate the potential for its clinical applications. Based on current research results and discoveries, nanozymes have broad application prospects in the biomedical field. There are numerous potential research directions and application areas that are worthy of further exploration and development. Although there have been preliminary studies on the catalytic performance of nanozymes, further research is needed to thoroughly investigate their catalytic mechanisms. Further exploration of the interaction between nanozymes and substrates, reaction kinetics, and factors affecting catalytic activity will help to better understand their mechanism of action in the field of biocatalysis.]]> 2024/6/27 18:50:08 Objective To investigate the effect of 8-week aerobic exercise on the improvement of core behaviors of male and female autistic mice induced by valproic acid (VPA).Methods Experimental mice were randomly divided into the control group (CTL), VPA-induced autism group (VPA) and VPA+aerobic exercise group (VEX), with 10 mice in each group. The pregnant mice were injected with VPA intraperitoneally at E12.5, and their offspring were used as autistic mice. Pups were weaned 28 d after birth and began an 8-week aerobic exercise intervention. The day after exercise, mice were tested in behavioral experiments to detect exploratory behavior, social skills, repetitive stereotypic behavior, cognitive ability and mood. The mice were tested for social skills, repetitive stereotyped behaviors, cognitive and learning memory abilities, exploratory behaviors, and emotions by behavioral assays on the following day after the exercise.Results Both male and female mice in the CTL group showed a significant decrease in the total distance and percentage of time spent in the interaction zone in the 4th socialization compared to the 1st socialization (P<0.01); the total distance and percentage of time spent in the interaction zone in the 5th socialization was significantly increased compared to the 4th socialization (P<0.01); in VPA group, both male and female mice showed no significant change in the total distance and percentage of time spent in the interaction zone in the 4th and 5th socialization; in the VEX group, the total distance and percentage of time spent in the interaction zone by male mice in the 4th socialization was significantly decreased compared to the 1st socialization (P<0.01, P<0.05); and in the VEX group the total distance and percentage of time spent in the social interaction zone by both male and female mice in the 5th socialization was significantly increased compared to the 4th socialization (P<0.01, P<0.05). The results of the first phase of three-box socialization experiment showed that male and female mice in the CTL group spent more time socializing with their social partners than in contact with the empty cages (P<0.01); there was no difference in the time spent by male and female mice in the VPA group in socializing with their social partners and the empty cages; and male and female mice in the VEX group spent a longer time socializing with their social partners (P<0.01). The results of the second phase of three-box test showed that male and female mice in the CTL group showed a significant tendency to socialize with new social partners (P<0.01), whereas no significant changes were observed in the mice of VPA group; aerobic exercise significantly ameliorated this deficit in male and female mice with autism. Compared with the CTL group, VPA-induced significant decreases were observed in the total distance freely moved in the central area of the open field, the time and percentage of time spent in the open arm of cross maze, and the distance and time spent in the white box in both male and female autistic mice (P<0.01); a significant increase in the number of bead burials and time spent in self-grooming (P<0.01); a significant decrease in the cognitive index (P<0.01); a significantly longer latency to find the platform, and significantly decreased the percentage of time spent in the target quadrant and the number of times they traversed the platform (P<0.01). Compared with the VPA group, after 8 weeks of aerobic intervention, male and female mice in the VEX group showed a significant increase in total distance, open-arm dwell time, and percentage of free movement in the central area of the empty field (P<0. 05), and a trend toward a decrease in the dwell time of females in the white box was not significant, the number of beads burying and the time of self-combing were significantly lower (P<0.01, P<0.05); and a significant increase in cognitive index (P<0.05), a significantly shorter time to find the platform, and significantly increased percentage of time spent in the target quadrant and the number of times they traversed the platform (P<0.01), showing excellent learning memory.Conclusion Autistic mice severely suffer from social and cognitive impairments, repetitive stereotyped behaviors, decreased activity level, and the exhibition of anxiety. 8 weeks of aerobic exercise can improve the social and cognitive abilities, alleviate the stereotyped repetitive behaviors, increase the activity level, and positively regulate the anxiety in autistic mice. It is hypothesized that aerobic exercise has an important role in motor rehabilitation of autism, in order to provide a theoretical basis for clinical research.]]> 2024/6/27 18:45:12 Objective Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties with communication and social interaction, restricted and repetitive behaviors. Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits, which are closely related to the core symptoms of ASD. Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities. Therefore, this study explores the behavior of children with ASD in capturing attention to changes in topological properties.Methods Our study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing (TD) age-matched controls. In an attention capture task, we recorded the saccadic behaviors of children with ASD and TD in response to topological change (TC) and non-topological change (nTC) stimuli. Saccadic reaction time (SRT), visual search time (VS), and first fixation dwell time (FFDT) were used as indicators of attentional bias. Pearson correlation tests between the clinical assessment scales and attentional bias were conducted.Results This study found that TD children had significantly faster SRT (P0.05) and VS (P0.05) for the TC stimuli compared to the nTC stimuli, while the children with ASD did not exhibit significant differences in either measure (P0.05). Additionally, ASD children demonstrated significantly less attention towards the TC targets (measured by FFDT), in comparison to TD children (P0.05). Furthermore, ASD children exhibited a significant negative linear correlation between their attentional bias (measured by VS) and their scores on the compulsive subscale (P0.05).Conclusion The results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection. This atypical attention may affect the child’s cognitive and behavioral development, thereby impacting their social communication and interaction. In sum, our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.]]> 2024/6/27 11:29:54 Objective This work examines the impact of external electric fields at terahertz (THz) frequencies on double-stranded deoxyribonucleic acid (dsDNA) systems adsorbed on Au(111) surfaces in aqueous environments.Methods The investigation utilizes a molecular dynamics (MD) approach at the atomic level and vibrational dynamics calculations using the GolDNA-Amber force field.Results The results reveal that the sugar-phosphate backbone of the DNA exhibits reduced adherence to the gold surface, while the side chains display a stronger affinity. When subjecting the hydrated DNA strands to an electric field with frequencies up to 10 THz, peak intensities of vibrational dynamic density (VDoS) are observed at five different frequencies. Moreover, the strong electric field causes hydrogen bonds in the DNA within the slit to break. The sensitivity to the electric field is particularly pronounced at 8.8 THz and 9.6 THz, with different vibrational modes observed at varying electric field strengths.Conclusion These findings contribute to an enhanced understanding of the molecular organization of gold-plated charged biological interfaces.]]> 2024/6/26 14:09:49 2024/6/26 13:33:56 KRAS, CDKN2A, TP53, and SMAD4. Most pancreatic cancer patients are affected by environmental risk factors such as age, sex and diet. Malignant pancreatic cancer is associated with non-invasive, preneoplastic lesions that are thoughted to be precursors, such as pancreatic intraepithelial neoplasia (PanIN), intraductal papillary mucinous neoplasm (IPMN) and mucinous cystadenoma (MCN). In recent years, people have gradually improved the therapy and diagnosis of pancreatic cancer, and the contribution of imaging technology, which enhancing the usage of minimally invasive pancreatectomy that typically includes pancreaticoduodenectomy and distal pancreatectomy. However, combined administration of the chemotherapeutic gemcitabine and erlotinib is still considered a potential first-line treatment for advanced pancreatic cancer, but the development of chemoresistance often leads to poor therapeutic outcomes. Based on the current research progress for pancreatic cancer, its treatment currently remains one of the most important challenges in the medical field. Although some new treatment options have been provided, there were minor clinical success achieved and therefore new safe and effective therapies of pancreatic cancer are still an urgent need for patients. Among these new therapies for pancreatic cancer, short peptide-based treatment protocols have attracted great attention. Peptide is a compound formed by linking α-amino acids together in peptide chains. It is also an intermediate product of proteolysis. The short peptide-based therapy has many advantages such as precise targeting, easy preparation and low toxicity. Short peptides usually act as tumor suppressors by targeting and recognizing tumor-specific expressed proteins. Currently, there is an increased interest in peptides in pharmaceutical and development research, and approximate 140 peptide therapeutics are currently being evaluated in clinical trials. These peptides provide excellent prospects for targeted drug delivery because of their high selectivity, specificity and simplicity of modification. Peptides have high bioactivity and excellent biodegradability. Clinically, short peptides are increasingly used as combination drugs with chemotherapy for tumor treatment. Peptides can induce cancer cell death by numerous mechanisms and peptides have emerged as a promising drug for the treatment of pancreatic cancer. Here we mainly review the roles of peptides on Wnt/β-catenin, NF-κB, autophagy, and the use of peptides as tracer in pancreatic cancer. We also analyzed the benefits and disadvantages existing in the development process of short peptides, which provide the feasibility of targeted short peptides to become new therapeutic approaches for cancer therapy.]]> 2024/6/26 13:27:37 2024/6/26 13:18:57 in vivo, and ultimately generates the active metabolite, benzopyrene dihydroxy epoxide (B[α]PDE) to exert a strong carcinogenic effect. In this paper, we provide an overview of the mechanisms involved in the malignant transformation of bronchial epithelial cells induced by B[α]PDE in terms of DNA base mutations, DNA repair function, related signaling pathways and epigenetic variations. B[α]PDE covalently binds to DNA bases to form B[α]PDE-DNA adducts, which cause DNA base mutations, inducing malignant transformation of bronchial epithelial cells and ultimate tumor formation. Interestingly, it was found that B[α]PDE-DNA adducts showed a high GC-dependent distribution and the single-nucleotide resolution profile of DNA damage profile was highly similar to that of mutations previously identified in the lung cancer genomes of smokers. B[α]PDE can also regulate the expression or silencing of proto-oncogenes and oncogenes by activating the classical AhR signaling pathway, as well as the PI3K/AKT/mTOR and NF-κB signaling pathways, inducing epithelial-mesenchymal transition (EMT) in bronchial epithelial cells, and interfering with cellular metabolism and the cell cycle, thereby inducing the development of lung cancer. The genes mutated in B[α]PDE-induced malignant transformation of bronchial epithelial cells include the proto-oncogenes RAS, KIF11, and PPP1R13L as well as the oncogenes PHLPP2 and p53. B[α]PDE exposure leads to single nucleotide polymorphisms in the 3"-UTR of DNA repair enzyme gene, which inhibits the transcription of genes encoding proteins related to DNA damage repair, and subsequently affects the cell cycle, proliferation, and apoptosis of tumor cells. B[α]PDE exposure can induce lung carcinogenesis and progression by inducing hypomethylation of specific gene promoter regions to activate proto-oncogenes and hypermethylation to silence oncogenes. The aberrantly expressed miRNAs or lncRNAs may regulate the expression and signaling of lung cancer-related genes, thereby affecting lung cancer-related biological functions, including cell proliferation, apoptosis, migration and invasion. Poly(ADP-ribose) glycohydrolase (PARG) regulates DNA damage repair and maintains genomic stability, whereas silencing PARG inhibits B[α]PDE-induced deterioration of bronchial epithelial cells. B[α]PDE exposure induces metabolic reprogramming in cancer cells, which provides energy to cancer cells rapidly proliferation by increasing glucose uptake and glycolysis, and also regulates cancer cell growth and survival by affecting lipid and nucleic acid metabolism. In conclusion, in B[α]PDE-induced lung cancer, epigenetic changes such as DNA methylation, miRNAs, lncRNAs, metabolic reprogramming, and PARG work together to form a complex regulatory network that affects gene expression, cellular metabolism, and genomic stability. An in-depth study of the mechanism of B[α]PDE-induced malignant transformation of bronchial epithelial cells can provide a theoretical basis for the study of potential targets for the development of anti-tumor drugs, which will help to guide the prevention and treatment of lung cancer in polluted environments and exposure to smoky environments, and also provide theoretical support for the Healthy China measures of tobacco control and smoking ban.]]> 2024/6/25 17:03:46 2024/6/21 15:50:31 2024/6/21 12:24:30 Objective To investigate the expression of cyclin-dependent kinase 8 (CDK8) in esophageal squamous cell carcinoma (ESCC) and its effect on ESCC cells, and to explore its potential molecular mechanism.Methods The expression level of CDK8 mRNA was analyzed using UALCAN database, and then the expression level of CDK8 protein in tumor tissues of ESCC patients was detected by immunohistochemistry (IHC). Esophageal cancer cell lines Kyse-30 and Kyse-150 were stably transfected with lentivirus to achieve knockdown and overexpression of CDK8. EdU proliferation assay, cell colony formation assay, cell cycle assay, cell scratch assay and invasion assay were used to explore the effect of CDK8 protein expression level on the phenotype of ESCC cells. Subsequently, the effect of CDK8 on the growth of esophageal cancer xenografts in vitro was observed by subcutaneous tumor formation assay in mice. Finally, the expression of proliferation and metastasis related proteins was detected by Western blot.Results CDK8 showed high transcription and protein expression levels in ESCC tissues compared with normal esophageal tissues. Knockdown of CDK8 expression significantly inhibited the proliferation, migration and invasion of ESCC cells. In addition, inhibition of CDK8 expression significantly affected the JAK2/STAT3 pathway and the expression of E-cadherin/N-cadherin, while overexpression of CDK8 reversed these effects. Inhibition of STAT3 pathway reversed the promoting effect of CDK8 overexpression on ESCC cell phenotype.Conclusion CDK8 is a cancer-promoting factor of ESCC, which mediates the phosphorylation of JAK2/ STAT3 and epithelial-mesenchymal transition (EMT).]]> 2024/6/19 14:40:02 Objective The controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers.Methods Fifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerstr?m Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers.Results The average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus in the young smokers’ group, supplementary motor area, gyrus rectus, and posterior cingulate gyrus, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2).Conclusion The controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.]]> 2024/6/18 15:40:20 Objective Dust has steadily emerged as a frontier research in the field of forensic science because it is a material evidence with significant features and application potential that carries rich environmental DNA information. However, as a crucial foundational step in forensic applications, the collection and DNA extraction research of dust on object surfaces from the perspective of practical applications in forensic science are still in urgent need of development.Methods Dust was collected from object surfaces using a Copan Liquid Amies Elution Swab. DNA was extracted separately from the swab head, sediment, and supernatant within the sample collection tube to evaluate DNA content, thereby determining which components within the tube should be processed and lysed. Dust samples were collected according to five different sampling areas (25-400 cm2) and the DNA concentration was measured to determine the optimal sampling area. The extraction efficiency of three commercial DNA extraction kits for dust samples was compared. The size of the DNA fragments extracted from the dust was analyzed, as well as the presence of human DNA. Additionally, 16S rDNA amplicon sequencing was used to analyze the bacterial information in dust DNA from object surfaces. This process aimed to establish a quality control method for dust DNA extraction. Regarding the critical step of cell lysis in DNA extraction, the quantity of DNA extracted was compared and evaluated under different cell lysis methods and varying vortexing times. This was done to establish an appropriate cell lysis method for dust DNA extraction.Results The sediment and swab head in the dust sampling tube are the primary sources of DNA, and both should be included in subsequent extraction processes. The sampling area of dust is positively correlated with dust DNA concentration, and it is recommended that the sampling area be larger than 5×5 cm2. Using the DNeasy PowerSoil Pro kit can yield a higher amount of DNA. Additionally, there were no significant differences in the sizes of DNA fragments extracted by the three different DNA extraction kits. No human DNA was detected in the DNA extracted from the dust samples, while bacterial DNA was present in the dust from object surfaces. Furthermore, there were differences in microbial species composition between different sampling points. Additionally, using a biological sample homogenizer to grind and lyse for 4 min (2 min× 2 times) resulted in the highest concentration of dust DNA.Conclusion The extraction of dust DNA is influenced by the sampling area, extraction kits, and lysis methods. It is crucial to establish a comprehensive and suitable dust DNA extraction scheme. This not only lays the foundation for researching and extracting environmental DNA data from dust, but also provides a methodological reference for forensic case work involving environmental samples.]]> 2024/6/12 15:00:40 2+, which enhances lipid peroxidation and reactive oxygen species (ROS) generation, ultimately leading to cell death. Studies show disrupted iron metabolism in PD patients, with elevated iron levels in dopaminergic neurons of the substantia nigra correlating with disease severity. Iron chelation therapy has shown promise in alleviating PD symptoms by reducing brain iron levels, highlighting the significance of iron metabolism in PD pathogenesis. Lipid peroxidation, a hallmark of ferroptosis, involves the oxidation of polyunsaturated fatty acids (PUFAs) in cell membranes, compromising membrane integrity and increasing permeability. Elevated lipid peroxidation in the substantia nigra contributes to neuronal damage in PD. Enzymes such as ACSL4 and LPCAT3, crucial in PUFA metabolism, play significant roles in ferroptosis. Exercise has been shown to modulate these enzymes, potentially reducing lipid peroxidation and preventing ferroptosis in PD. Glutathione (GSH) metabolism is another crucial factor in ferroptosis regulation. GSH depletion impairs ROS detoxification, exacerbating oxidative stress and lipid peroxidation. PD patients exhibit reduced GSH levels in the substantia nigra, making dopaminergic neurons more vulnerable to oxidative damage. Exercise enhances GSH synthesis and activity, mitigating oxidative stress and ferroptosis in PD. α-Synuclein aggregation, a hallmark of PD, is closely linked to iron metabolism and oxidative stress. Excessive α-synuclein binds to iron, promoting its aggregation and inducing ferroptosis. Exercise has been found to reduce α-synuclein accumulation and its pathological phosphorylation, potentially through the upregulation of neuroprotective proteins like DJ-1 and Irisin. These proteins enhance antioxidant defenses and facilitate α-synuclein degradation, providing a protective effect against PD progression. Additionally, glutamate excitotoxicity, driven by dysregulated glutamate metabolism and receptor activity, contributes to ferroptosis in PD. Exercise modulates glutamate levels and receptor expression, reducing excitotoxicity and iron-induced neuronal damage. In conclusion, emerging research suggests that exercise may inhibit ferroptosis through multiple mechanisms, including regulation of iron metabolism, enhancement of antioxidant defenses, reduction of α-synuclein aggregation, and modulation of glutamate metabolism. These findings highlight the potential of exercise as a non-pharmacological intervention in the prevention and treatment of PD. Further research is needed to elucidate precise mechanisms and optimize exercise protocols for maximum therapeutic benefit.]]> 2024/6/7 22:53:34 Objective Chronic stress can induce cognitive dysfunction, but the underlying mechanisms remain unknown. Studies have confirmed that the high mobility group box 1/Toll-like receptor 4 (HMGB1/TLR4) pathway is closely associated with cognitive impairment. Therefore, this research aimed to explore whether the HMGB1/TLR4 pathway involves in chronic stress-induced cognitive dysfunction.Methods The chronic unpredictable mild stress (CUMS) mouse model was established by randomly giving different types of stress every day for four consecutive weeks. Cognitive function was detected by novel object recognition test, Y-maze test, and Morris water maze test. The protein expressions of HMGB1, TLR4, B-cell lymphoma 2 (BCL2), and BCL2 associated X (BAX) were determined by Western blot. The damage of neurons in the hippocampal CA1 region was observed by hematoxylin-eosin (HE) staining.Results The protein expressions of HMGB1 and TLR4 were significantly increased in the hippocampus of chronic stress mice. Furthermore, inhibition of the HMGB1/TLR4 pathway induced by ethyl pyruvate (EP, a specific inhibitor of HMGB1) and TAK242 (a selective inhibitor of TLR4) treatment attenuated cognitive impairment in chronic stress mice, according to the novel object recognition test, Y-maze test, and Morris water maze test. In addition, administration of EP and TAK242 also mitigated the increase of apoptosis in the hippocampus of chronic stress mice.Conclusion These results indicate that the hippocampal HMGB1/TLR4 pathway contributes to chronic stress-induced apoptosis and cognitive dysfunction.]]> 2024/6/7 19:25:59 2024/6/7 18:54:02 Objective The inference of biogeographical ancestry (BGA) using DNA is a significant focus within anthropology and forensic science. Current methods often utilize dozens of ancestry-informative SNPs, employing principal component analysis (PCA) and likelihood ratios (LR) to ascertain individual ancestries. Nonetheless, the selection of these SNPs tends to be population-specific and shows limitations in population differentiation. With the development of high-throughput sequencing technologies, acquiring high-density SNP datasets has become easier, challenging traditional statistical models which are often reliant on prior assumptions and struggle with high-density genetic data. The integration of machine learning, which prioritizes data learning and algorithmic iteration over prior knowledge, has propelled forward new developments in BGA research. This study aims to construct a BGA inference model suitable for high-density SNP data, characterized by broad population applicability, higher accuracy, and strong generalization capabilities.Methods Initially, intersection sites of autosomes from the phase III data of the 1000 Genomes Project and commonly used commercial chips were selected to build a reference dataset after thorough site quality control and filtering. This dataset was analyzed using PCA and ADMIXTURE to study population clustering, ancestral component mixing, and genetic substructures. Utilizing spaces of different principal component (PC), combinations, this study visually assessed the PCs’ capabilities to differentiate between continental and intercontinental populations. Following this, the study employed the supervised learning classification model XGBoost, establishing a multidimensional PC-based PCA-XGBoost model with hyperparameters set through ten-fold cross-validation and a greedy strategy. Subsequently, the model was optimized and evaluated based on the LR, considering accuracy and runtime to determine the optimal number of PCs and training rounds, culminating in the study’s optimal BGA inference model. Finally, the performance of the model was subsequently validated at national and regional levels using test sets from other public data to assess its post-optimization generalization capabilities.Results The reference dataset created contains 307 866 SNP sites. Top PCs reflect varying levels of population differentiation capabilities, with some PCs showing population specificity. Under smaller K values in ADMIXTURE results, genetic ancestral components between continents are elucidated, while larger K values reveal some specific ancestral components of certain populations within continents. The number of PCs and training rounds significantly affect the classification accuracy and efficiency of the XGBoost supervised model. With LR-based evaluation methods, the optimized PCA-XGBoost model achieved a continental prediction accuracy of over 98% in the reference set. For subcontinental population levels within the continents, the model achieved an accuracy of over 95% in the reference set and over 90% in the test set.Conclusion The reference dataset effectively represents the genetic substructures of populations at selected sites. Information derived from PC dimensions significantly aids in population differentiation and inference issues, and incorporating more PC dimensions as features in supervised learning models can increase the accuracy of BGA inference. The model of this study is suitable for high-density SNP data and is not confined to specific regional populations, offering enhanced population-wide applicability. Compared to previous ancestry inference models, the optimized PCA-XGBoost model demonstrates high intercontinental population predictive accuracy. LR-based evaluation methods further enhance the reliability of predictions. Additionally, the model’s strong generalization capabilities suggest that updating the reference population data could enable more detailed population analysis and inference.]]> 2024/6/6 15:01:36 in vitro and in vivo in recent years, and provides a forward-looking perspective on future development directions.]]> 2024/6/4 15:08:53 2024/5/31 15:14:22 R132H mutant glioma maintain telomere length through an alternative mechanism that relies on homologous recombination (HR), which is known as alterative lengthening of telomere (ALT).The phenotype of ALT mechanism include: ALT associated promyelocytic leukemia protein (PML) bodies (APBs); extrachromosomal telomeric DNA repeats such as C- and T-loops; telomeric sister chromatid exchange (T-SCE), etc. The mechanism of ALT activation is not fully understood. Recent studies have shown that mutation IDH1 contributes to ALT phenotype in glioma cells in at least three key ways. Firstly, the IDH1^R132H mutation mediates RAP1 down-regulation leading to telomere dysfunction, thus ensuring persistent endogenous telomeric DNA damage, which is important for ALT activation. Spontaneous DNA damage at telomeres may provide a substrate for mutation break-induced replication (BIR)-mediated ALT telomere lengthening, and it has been demonstrated that RAP1 inhibits telomeric repeat-containing RNA, transcribed from telomeric DNA repeat sequences (TERRA) transcription to down-regulate ALT telomere DNA replication stress and telomeric DNA damage, thereby inhibiting ALT telomere synthesis. Similarly, in ALT cells, knockdown of telomere-specific RNaseH1 nuclease triggers TERRA accumulation, which leads to increased replication pressure. Overexpression of RNaseH1, on the other hand, attenuates the recombination capacity of ALT telomeres, leading to telomere depletion, suggesting that RAP1 can regulate the level of replication pressure and thus ALT activity by controlling TERRA expression. Secondly, the IDH1^R132H also alters the preference of the telomere damage repair pathway by down-regulating XRCC1, which inhibits the alternative non-homologous end joining (A-NHEJ) pathway at telomeres and alters cellular preference for the HR pathway to promote ALT. Finally, the IDH1^R132H has a decreased affinity for isocitric acid and NADP+ and an increased affinity for α ketoglutarate (α-KG) and NADPH, so that the mutant IDH1^R132H catalyzes the hydrogenation of α-KG to produce 2-hydroxyglutarate (2-HG)in a NADPH-dependent manner. Because 2-HG is structurally similar to α-KG, which maintains the trimethylation level of H3k9me3 by competitively inhibiting the activity of the α-KG-dependent histone demethylase KDM4B, and recruits heterochromatin protein HP1α to heterochromatinize telomeres, and promote ALT phenotypes in cooperation with the inactivating of ATRX. In addition, it has been shown that APBs contain telomeric chromatin, which is essentially heterochromatin, and HP1α is directly involved in the formation of APBs. Based on these studies, this article reviews the mechanism of IDH1^R132H mediated telomere dysfunction and the preference of DNA repair pathway at telomeres in cooperate with ATRX loss to promote ALT, which may provide references for clinical targeted therapy of IDH1^R132H mutant glioma.]]> 2024/5/31 13:51:41 2024/5/30 15:08:02 2024/5/28 15:48:25 贝时璋出生于1903 年10 月10 日，他的一生与中国科学紧密联结在一起，见证并参与了新中国科学事业的发展与繁荣，为国家培养了一代代科技人才。 进入百岁高龄之后，他仍坚持工作，也依然时刻牵挂着国家的昌盛和科学的发展，是永不退休的科学家。 2003 年9 月，贝时璋用两年半时间主编完成的《细胞重建》论文集第二集正式出版，给了自己一份最好的百岁生日礼物。
2009 年诺贝尔奖公布以后，贝时璋心情很不平静，对我国科学创新问题陷入了深刻的思考之中。他想起，北京大学教授林克椿1981 年在美国斯坦福大学做访问学者时，发现了螺旋状脂质体，1982 年《自然》（Nature）杂志以封面文章的形式发表了这一成果。 他认为这是一项很有意义的创新课题，应该继续研究下去，因此特别邀请林克椿和一些研究人员10 月28 日上午来家里进行讨论。 当天，贝时璋问了林克椿很多关于实验情况的问题，问得很仔细。从贝时璋的询问中，可以感受到他心中对一项有意义工作被中断的那份惋惜。 林克椿虽然已退休，但贝时璋还是鼓励他要把这项研究进一步做下去，争取取得更大的成果，并语重心长地鼓励大家“我们要为国家争气”， 这句话，他说了好几遍，声音很大、很激动， 使当时在场的研究人员们深受感动和鼓舞。
那天，贝时璋精神特别好，特别高兴，和大家讨论了近一个小时。 然而，就在第二天，10 月29日上午9 点30 分，贝时璋在睡眠中安详辞世，永 远地离开了他所热爱的科学、他所热爱的国家和人民。 “我们要为国家争气” ， 成为了贝时璋留给科学界的最后嘱托和遗言，这也应当成为当今每一位科研工作者追求和践行的科学家精神。]]> 2022/4/14 16:27:41