In vertebrate embryonic development, the segmentation clock controls the cyclic formation of somites through presomitic mesoderm (PSM) cells. Somites are paired segmented structures along the anterior-posterior axis that eventually develop into vertebrae and ribs. Disruptions in the segmentation clock leads to defects in somitogenesis, resulting in congenital spinal diseases. The major patterning modules that are involved in segmentation clock is the clock and wavefront, which primarily relies on signaling gradients and cyclic oscillation. Mesodermal differentiation is regulated by combinatorial gradient system that involves the activity of the fibroblast growth factor (FGF), the Wnt/β-catenin, and the retinoic acid (RA) signaling pathways. The antagonistic gradients of these signals set a position of the determination front. In the tail bud and posterior mesoderm, FGF and Wnt signaling prevent cell maturation and the molecular oscillators start to express. The molecular oscillators rely on negative feedback loops to maintain their oscillatory expression patterns. As the cells move anteriorly, FGF signaling gradually decays and RA signaling began to strengthen. Meanwhile, the molecular oscillators propagate anteriorly with wave pattern. At the determination front, low levels of FGF signaling and high levels of RA signaling eliminate differentiation inhibition and initiate molecular oscillators to activate cyclic genes, such as Mesp2, leading to the formation of repetitive structures in somites. Advancements in live reporter and 2D culture systems have revealed that coupling delays in cell communication can maintain the synchronous segmentation clock between adjacent cells. Studies have shown that these coupling delays are controlled by Lfng gene, it can adjust coupling delays to fit in-phase oscillations by increasing the time required for intercellular DLL1-Notch signaling. To sum up, the dual homeostasis of opposing signaling gradients determines the segment boundaries, the distance traveled by a molecular oscillator in one oscillation cycle determines the somite size, and the delayed coupling in intercellular signaling regulates the synchronization of clock oscillations. These three factors interact with each other to form a segmentation clock network coordinating somitogenesis. Recent studies have revealed that the intercellular coupling delay mechanism is a major factor influencing the maintenance of oscillation synchronization. Intercellular coupling delay errors, such as increased or decreased delay time, can desynchronizing intercellular oscillations and resulting in somite fusion. However, the mechanisms governing how intercellular communication becomes involved in oscillation synchronization remains unclear. Congenital scoliosis (CS) is a result of anomalous development of the vertebrate which associate with somitogenesis malformation. We observed that deficiency or overdose of vitamin A intake in gestation may lead to CS. While the deep mechanism of how RA signaling regulates oscillation synchronization still need to be detected. With the rapid development of 3D culture systems, researchers have successfully recapitulated the formation of somite-like structures with antero-posterior identity and indicated that the rate of metabolism is directly proportional to that of development. In summary, deconstructing the segmentation clock in vitro facilitates the dissection of regulation networks of the segmentation clock and offers an excellent proxy for studying the metabolic regulation of somitogenesis speed across species and the mechanisms underlying the formation of bilateral symmetry. It also creates a platform for exploring dysregulation mechanisms involved in the development of pathological somite defects.

Cells not only contain membrane-bound organelles (MBOs), but also membraneless organelles (MLOs) formed by condensation of many biomacromolecules. Examples include RNA-protein granules such as nucleoli and PML nuclear bodies (PML-NBs) in the nucleus, as well as stress granules and P-bodies in the cytoplasm. Phase separation is the basic organizing principle of the form of the condensates or membraneless organelles (MLOs) of biomacromolecules including proteins and nucleic acids. In particular, liquid-liquid phase separation (LLPS) compartmentalises and concentrates biological macromolecules into liquid condensates. It has been found that phase separation of biomacromolecules requires some typical intrinsic characteristics, such as intrinsically disordered regions, modular domains and multivalent interactions. The phase separation of biomacromolecules plays a key role in many important cell activities. In recent years, the phase separation of biomacromolecules phase has become a focus of research in gene transcriptional regulation. Transcriptional regulatory elements such as RNA polymerases, transcription factors (TFs), and super enhancers (SEs) all play important roles through phase separation. Our group has previously reported for the first time that long-term inactivation or absence of assembly factors leads to the formation of condensates of RNA polymerase II (RNAPII) subunits in the cytoplasm, and this process is reversible, suggesting a novel regulatory model of eukaryotic transcription machinery. The phase separation of biomacromolecules provides a biophysical understanding for the rapid transmission of transcriptional signals by a large number of TFs. Moreover, phase separation during transcriptional regulation is closely related to the occurrence of cancer. For example, the activation of oncogenes is usually associated with the formation of phase separation condensates at the SEs. In this review, the intrinsic characteristics of the formation of biomacromolecules phase separation and the important role of phase separation in transcriptional regulation are reviewed, which will provide reference for understanding basic cell activities and gene regulation in cancer.

The World Health Organization has declared that the outbreak of coronavirus disease 2019 (COVID-19) is a global pandemic. As mutations occurred in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the global epidemic still needs further concern. Worryingly, the effectiveness and neutralizing activity of existing antibodies and vaccines against SARS-CoV-2 variants is declining. There is an urgent need to find an effective antiviral medication with broad-spectrum inhibitory effects on novel coronavirus mutant strains against the SARS-CoV-2 infection. Neutralizing antibodies play an important role in the prevention and treatment of COVID-19. The interaction of spike-receptor-binding domain (Spike-RBD) of SARS-CoV-2 and human angiotensin-converting enzyme 2 (ACE2) is the first and critical step of SARS-CoV-2 infection. Hence, the SARS-CoV-2 Spike-RBD is a hot target for neutralizing antibodies development. Evusheld, the combination of Tixagevimab and Cilgavimab monoclonal antibodies (mAbs) targeting Spike-RBD exhibits neutralizing activity against BA.2.12.1, BA.4 and BA.5, which could be used as pre-exposure prophylaxis against SARS-CoV-2 infection. The nucleocapsid (N) protein is a conservative and high-abundance structural protein of SARS-CoV-2. The nCoV396 monoclonal antibody, isolated from the blood of convalescent COVID-19 patients against the N protein of SARS-CoV-2. This mAb not only showed neutralizing activity but also inhibits hyperactivation of complement and lung injury induced by N protein. The mAb 3E8 targeting ACE2 showed broadly neutralizing activity against SARS-CoV-2 and D614G, B.1.1.7, B.1.351, B.1.617.1 and P.1 variants in vitro and in vivo, but did not impact the biological activity of ACE2. Compared with neutralizing antibodies, small molecule inhibitors have several advantages, such as broad-spectrum inhibitory effect, low cost, and simple administration methods. Several small-molecule inhibitors disrupt viral binding by targeting the ACE2 and N-terminal domain (NTD) of SARS-CoV-2 spike protein. Known drugs such as chloroquine and hydroxychloroquine could also block the infection of SARS-CoV-2 by interacting with residue Lys353 in the peptidase domain of ACE2. The transmembrane protease serine 2 (TMPRSS2) inhibitors Camostat mesylate and Proxalutamide inhibit infection by blocking TMPRSS2 mediates viral membrane fusion. The main protease inhibitor Paxlovid and RNA-dependent RNA polymerase inhibitor Azvudine have been approved for treatment of COVID-19 patients. This review summarizes the current research status of neutralizing antibodies and small molecule inhibitors and prospects for their application. We expect to provide more valuable information for further studies in this field.

Mitophagy, a highly precise form of autophagy, plays a pivotal role in maintaining cellular homeostasis by selectively targeting and eliminating damaged mitochondria through a process known as mitophagy. Within this tightly regulated mechanism, dysfunctional mitochondria are specifically delivered to lysosomes for degradation. Disruptions in mitophagy have been implicated in a diverse range of pathological conditions, spanning diseases of the nervous system, cardiovascular system, cancer, aging, and metabolic syndrome. The elucidation of mitophagy’s impact on cardiovascular disorders, liver diseases, metabolic syndromes, immune dysfunctions, inflammatory conditions, and cancer has significantly advanced our understanding of the complex pathogenesis underlying these conditions. These studies have shed light on the intricate connections between dysfunctional mitophagy and disease progression. Among the disorders associated with mitochondrial dysfunction, insulin resistance (IR) stands out as a prominent condition linked to metabolic disorders. IR is characterized by a diminished response to normal levels of insulin, necessitating higher insulin levels to trigger a typical physiological reaction. Hyperinsulinemia and metabolic disturbances often coexist with IR, primarily due to defects in insulin signal transduction. Oxidative stress, stemming from mitochondrial dysfunction, exerts dual effects in the context of IR. Initially, it disrupts insulin signaling pathways and subtly contributes to the development of IR. Additionally, by inducing mitochondrial damage and autophagy, oxidative stress indirectly impedes insulin signaling pathways. Consequently, mitophagy acts as a protective mechanism, encapsulating damaged or dysfunctional mitochondria through the autophagy-lysosome pathway. This efficient process eliminates excessive oxidative stress reactive. The intricate interplay between mitochondrial function, oxidative stress, mitophagy, and IR represents a captivating field of investigation in the realm of metabolic disorders. By unraveling the underlying complexities and comprehending the intricate relationships between these intertwined processes, researchers strive toward uncovering novel therapeutic strategies. With a particular focus on mitochondrial quality control and the maintenance of redox homeostasis, these interventions hold tremendous potential in mitigating IR and enhancing overall metabolic health. Emerging evidence from a myriad of studies has shed light on the active involvement of mitophagy in the pathogenesis of metabolic disorders. Notably, interventions such as exercise, drug therapies, and natural products have been documented to induce mitophagy, thereby exerting beneficial effects on metabolic health through the activation of diverse signaling pathways. Several pivotal signaling molecules, including AMPK, PINK1/Parkin, BNIP3/Nix, and FUNDC1, have been identified as key regulators of mitophagy and have been implicated in the favorable outcomes observed in metabolic disorders. Of particular interest is the unique role of PINK1/Parkin in mitophagy compared to other proteins involved in this process. PINK1/Parkin exerts influence on mitophagy through the ubiquitination of outer mitochondrial membrane proteins. Conversely, BNIP3/Nix and FUNDC1 modulate mitophagy through their interaction with LC3, while also displaying certain interrelationships with each other. In this comprehensive review, our objective is to investigate the intricate interplay between mitophagy and IR, elucidating the relevant signaling pathways and exploring the treatment strategies that have garnered attention in recent years. By assimilating and integrating these findings, we aim to establish a comprehensive understanding of the multifaceted roles and intricate mechanisms by which mitophagy influences IR. This endeavor, in turn, seeks to provide novel insights and serve as a catalyst for further research in the pursuit of innovative treatments targeting IR.

The CRISPR/Cas system consists of clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated genes (Cas). The system forms an adaptive immune system in archaea and bacteria. The inherent defense mechanism enables these microorganisms to protect themselves against the invasion of foreign genetic material. The system functions of immune response including three main stages: adaptation, expression/maturation, and interference, each stage needs specific Cas proteins encoded by Cas gene located near the CRISPR sequences, along with other auxiliary proteins. In 2015, Zhang et al. reported Cas12a (Cpf1) as a member of the Class II type V CRISPR/Cas12a system, which possesses endonuclease activity. This finding holds great promise for its application in the field of biotechnology. In 2018, Doudna’s team first applied the CRISPR/Cas12a system for detecting HPV nucleic acid. The system comprises the following essential components in vitro detection: Cas12a, the crRNA sequence complementary to the target DNA, the PAM sequence, and the ssDNA reporter. Cas12a possesses a typical RuvC domain, displaying a canonical bilobed architecture that consists of a recognition (REC) lobe and a nuclease (NUC) lobe. The REC lobe contains the REC1 and REC2 domains, and the NUC lobe includes RuvC, PAM-interacting (PI), Wedge (WED), and bridge helix (BH) domains. The mature crRNA for Cas12a has a length of 42-44 nt, consists of repeat sequence (19/ 20 nt) and spacer sequence (23-25 nt). The crRNA spacer sequence has been found to require a length of 18 nt to achieve complete cleavage activity in vitro. Additionally, mutation in the bases of crRNA can indeed affect the activity of Cas12a. The PAM sequence plays a critical role in the recognition and degradation of DNA by the CRISPR/Cas system, enabling the system to distinguish between self and non-self genomic materials. Cas12a can effectively target the spacer sequence downstream of a T-rich PAM sequence at the 5" end. LbCas12a and AsCas12a both recognize the PAM sequences of 5"-TTTN-3", while FnCas12a recognizes the PAM sequences of 5"-TTN-3". All of these PAM sequences are located upstream on the non-template strand (NTS) at the 5" end. Cas12a (Cpf1), guided by the crRNA, binds to the target DNA by recognizing the PAM sequence. It exhibits the ability to induce arbitrary cleavage of ssDNA within the system while cleaving the target ssDNA or dsDNA. According to this feature, an array of nucleic acid detection methods has been developed for tumor detection and infection diagnostics, such as the DETECTR (RPA-CRISPR/Cas12a method) and HOLMES (PCR-CRISPR/Cas12a method) in 2018. Then, in 2019, Cas12aVDet (one-step detection method), where Cas12a protein was immobilized on the upper wall of the reaction tube. This not only prevented contamination from opening the tube but also reduced the detection reaction time. In 2021, the dWS-CRISPR (digital warm-start CRISPR) was developed as a one-pot detection method. It serves as an accurate approach for quantitatively detecting SARS-CoV-2 in clinical specimens. With the innovation of scientific technology, the high-sensitivity signal transduction technology has also been integrated with the CRISPR/Cas12a system, enabling direct detection of nucleic acids, and eliminating the need for nucleic acid amplification steps. Here, we elaborated the detection principles of CRISPR/Cas12a in in vitro detection. We discussed the different stages leading to the catalytic pathway of target DNA, and the practical applications of Cas12a in nucleic acid detection. These findings revealed a target interference mechanism that originates from the binding of Cas12a-guided RNA complex to complementary DNA sequences within PAM-dependent (dsDNA) regions. The crRNA-DNA binding activates Cas12a, enabling site-specific dsDNA cleavage and non-specific ssDNA trans-cleavage. The release of Cas12a ssDNase activity provides a novel approach to enhance the sensitivity and specificity of molecular diagnostic applications. Before these CRISPR/Cas12a-based nucleic acid detection methods can be introduced into clinical use, substantial work is still required to ensure the accuracy of diagnosis. Nevertheless, we believe that these innovative detection tools based on CRISPR/Cas will revolutionize future diagnostic technologies, particularly offering significant assistance in pathogen infection diagnosis for developing countries with relatively poor healthcare conditions and high prevalence of infectious diseases.

Chimeric RNA is a fusion transcript comprising of exon fragments from different genes. There are three splicing types: chromosome rearrangements, trans-splicing, cis-splicing, and the recently mentioned circular chimeric RNA. The traditional methods for the detection of chimeric RNA includes chromosome karyotype analysis, FISH, DNA microarray, etc., but their specificity, sensitivity and accuracy for the detection of chimeric RNA are poorly understood. With the development of sequencing technology, second-generation sequencing technology has shown strong data processing capabilities and can detect chimeric RNA through high-throughput sequence analysis. Currently, detection methods making use of high-throughput sequencing datasets includes FusionCatcher, SOAPfuse, EricScript, etc. For validation of the detected chimeric RNA, the commonly used methods include PCR, RPA, agarose gel electrophoresis, sanger sequencing, etc. The development of newly introduced techniques has led to the discovery of different novel chimeric RNA, the third and fourth generation sequencing has also been developed and nearly mature, and the sequencing technology taking PacBio as an example has also brought a new dawn to the discovery of chimeric RNA, but each of them has its advantages and disadvantages, mainly focusing on its cost, false positive rate, detection time, etc. This paper basically describes various different techniques that can be utilized for the detection and validation of chimeric RNA.

Circular RNAs (circRNAs) are a kind of non-coding RNA (ncRNA) with covalent closed-loop structure. They have attracted more and more attention because of their high stability, evolutionary conservatism, and tissue expression specificity. It has shown that circRNAs are involved in the development of a variety of diseases including malignant tumors recently. Nasopharyngeal carcinoma (NPC) is a malignant tumor that occurs in the nasopharynx and has a unique ethnic and geographical distribution in South China and Southeast Asia. Epstein-Barr virus (EBV) infection is closely related to the development of NPC. Radiotherapy and chemotherapy are the mainstays of treatment for NPC. But tumor recurrence or distant metastasis is the leading cause of death in patients with NPC. Several studies have shown that circRNAs, as gene expression regulators, play an important role in NPC and affect the progression of NPC. This review mainly summarized the research status of abnormally expressed circRNAs in NPC and EBV-encoded circRNAs. We also discussed the possibility of circRNAs as a therapeutic target, diagnostic and prognostic marker for NPC.

Glycosylation is one of the most important reactions in living organisms as it results in the formation of glycoconjugates with diverse biological functions. Sugar nucleotides are structurally composed of sugar and nucleoside diphosphate or monophosphate, which are widespread within a variety of biological cells. As glycosyl donors for the transglycosyl reactions catalyzed by Leloir-type glycosyltransferases, sugar nucleotides are essential for the synthesis of glycans and glycoconjugates. However, high costs and limited availability of nucleotide sugars prevent applications of biocatalytic cascades on an industrial scale. Therefore, attentions on synthetic strategies of sugar nucleotides have been increasing to achieve their wide applications in various fields. The 9 common sugar nucleotides in mammals have been fully studied with large-scale synthesis through chemical, enzymatic (chemo-enzymatic) and cell factory strategies. In addition to common sugar nucleotides, many rare sugar nucleotides are present in plants and bacteria. Although unnatural sugar nucleotides cannot be synthesized in organisms, they have great potential in research as substrates for glycosyltransferases in carbohydrate synthesis, as enzyme inhibitors in biochemical studies, and as components of glycoconjugate biosynthesis. Therefore, increasing attention has been paid to explore the efficient synthesis of unnatural sugar nucleotides. Currently, strategies for chemical synthesis of sugar nucleotides have been greatly improved, such as the use of effective catalysts for forming pyrophosphate bonds and the development of entirely new synthesis protocols. Multiple sugar nucleotides, especially unnatural sugar nucleotides, are synthesized chemically. However, chemical synthesis requires tedious protection and deprotection steps, resulting in complex steps, high cost and low yield. In contrast, enzymatic (chemo-enzymatic) and cell factory methods have significant advantages such as high yield, easy operation and easy process scale-up in the preparation of sugar nucleotides. Hence, they are prominent strategies for sugar nucleotide preparation. Herein, the biosynthesis and application of sugar nucleotides are reviewed, mainly focusing on the 9 sugar nucleotides common in mammals. The early strategies for enzymatic synthesis of sugar nucleotides generally used de novo synthesis pathway. With the discoveries of enzymes involved in salvage pathway of sugar nucleotide synthesis and the development of one-pot multienzyme (OPME) method, the synthesis of sugar nucleotides was greatly simplified. Cell factory method employs the microbial living cells as a “processing plant” by engineering their metabolic pathways through genetic engineering technology. The cell factory method has high yield, and has been applied for efficient synthesis of several sugar nucleotides. Moreover, the strategy of gram-scale synthesis of multiple rare sugar nucleotides by cascade reactions from common sugar nucleotides using sugar nucleotides synthases cloned from different sources was illustrated. In recent years, the synthesis cost of sugar nucleotides has been further reduced through various ways, such as regeneration of nucleotides, regeneration of organic cofactors, and application of immobilized enzyme technology. Furthermore, through the continuous improvement of sugar nucleotide purification process, the use of high concentration of multi-enzyme cascade and rapid non-chromatographic purification process, the synthesis of multiple sugar nucleotides and their derivatives from monosaccharides was achieved, which gradually broke the limitations of the existing strategy. With the efficient synthesis of sugar nucleotides, their applications in various fields have been increasingly explored, including the synthesis of glycans and glycoconjugates, biochemical characterization of glycosyltransferases and bioorthogonal labeling strategies, which are of great significance to the research of biochemistry, glycobiology and the development of related pharmaceutical products.

The dynamin superfamily protein (DSP) encompasses a group of large GTPases that are involved in various membrane remodeling processes within the cell. These proteins are characterized by their ability to hydrolyze GTP, which provides the energy necessary for their function in membrane fission, fusion, and tubulation activities. Dynamin superfamily proteins play critical roles in cellular processes such as endocytosis, organelle division, and vesicle trafficking. It is typically classified into classical dynamins and dynamin-related proteins (Drp), which have distinct roles and structural features. Understanding these proteins is crucial for comprehending their functions in cellular processes, particularly in membrane dynamics and organelle maintenance. Classical dynamins are primarily involved in clathrin-mediated endocytosis (CME), a process crucial for the internalization of receptors and other membrane components from the cell surface into the cell. These proteins are best known for their role in pinching off vesicles from the plasma membrane. Structually, classical dynamins are composed of a GTPase domain, a middle domain, a pleckstrin homology (PH) domain that binds phosphoinositides, a GTPase effector domain (GED), and a proline-rich domain (PRD) that interacts with SH3 domain-containing proteins. Functionally, the classical dynamins wrap around the neck of budding vesicles, using GTP hydrolysis to constrict and eventually acting as a "membrane scissor" to cut the vesicle from the membrane. In mammals, there are three major isoforms: dynamin-1 (predominantly expressed in neurons), dynamin-2 (ubiquitously expressed), and dynamin-3 (expressed in testes, lungs, and neurons). Recent studies have also revealed some non-classical functions of classical dynamins, such as regulating the initiation and stabilization of clathrin-coated pits (CCPs) at the early stages of CME, influencing the formation of the actin cytoskeleton and cell division. Drps share structural similarities with classical dynamins but are involved in a variety of different cellular processes, primarily related to the maintenance and remodeling of organelles, and can be mainly categorized into "mediating membrane fission," "mediating membrane fusion," and "non-membrane-dependent functions." Proteins like Drp1 are crucial for mitochondrial division, while others like Fis1, Mfn1, and Mfn2 are involved in mitochondrial and peroxisomal fission and fusion processes, which are essential for the maintenance of mitochondrial and peroxisomal integrity and affect energy production and apoptosis. Proteins like the Mx protein family exhibit antiviral properties by interfering with viral replication or assembly, which is critical for the innate immune response to viral infections. Some other proteins are involved in the formation of tubular structures from membranes, which is crucial for the maintenance of organelle morphology, particularly in the endoplasmic reticulum and Golgi apparatus. Studies on dynamin superfamily proteins have been extensive and have significantly advanced our understanding of cellular biology, disease mechanisms, and therapeutic potential. These studies encompass a broad range of disciplines, including molecular biology, biochemistry, cell biology, genetics, and pharmacology. By comprehensively summarizing and organizing the structural features and functions of various members of the dynamin superfamily protein, this review not only deepens the understanding of its molecular mechanisms, but also provides valuable insights for clinical drug research related to human diseases, potentially driving further advancements in the field.

This review provides a comprehensive summary of the latest advancements in high-throughput protein structural bioinformatics, a field that has undergone a revolutionary transformation with the advent of deep learning-based protein structure prediction systems like AlphaFold2. These systems have significantly increased the accuracy, speed, and scale of protein structure prediction, resulting in an exponential growth in the number of protein structures available for analysis. Notably, the AlphaFold Protein Structure Database (AFDB) has amassed over 214 million protein structures, surpassing the PDB's 50-year cumulative data by over 1000-fold within several months. Big data is driving the comprehensive upgrade of protein structural bioinformatics. This review focuses on three main areas: structure data management, tool development, and structure data mining. In the realm of structure data management, the review spotlights the optimization strategy of AlphaFold-like systems, which significantly reduces the resource requirements for protein folding, enabling more researchers to make custom structure predictions and further enlarging the data scale. The resulting "data explosion" has exerted increased pressure on storage and bandwidth, prompting the development of cutting-edge tools such as Foldcomp, PDC, and ProteStAr for compressing PDB files. Moreover, the review underscores the critical role of public repositories like ModelArchive and PDB-Dev in archiving and sharing third-party AlphaFold models. It also highlights the utilization of independent services like MineProt and 3D-Beacons to create more interactive and accessible data portals. In terms of tool development, the review spotlights recent breakthroughs in structure alignment algorithms, represented by Foldseek, which enable ultra-fast searching of large protein structure databases. It also covers tools for functional annotation of proteins based on their structures, including AlphaFill for ligand annotation, DeepFRI for Gene Ontology (GO) annotation, TT3D for protein-protein interaction (PPI) prediction, among others. It is proposed that 3Di sequences born concurrently with Foldseek can enhance many sequence-based deep learning models developed in the pre-AlphaFold era, enabling them to be applied to structure-based function prediction. The challenges on traditional molecular docking methods in the high-throughput era are mentioned at last, in a gesture to arouse the attention of researchers. Finally, the review explores the burgeoning field of structure data mining. Whole proteome structuring has become feasible in recent years, and scientists are processing large structure datasets from an omics viewpoint, continuously identifying analyzable elements and optimizing methodologies, as well as utilizing newly developed tools to push the boundaries. Notable examples include the identification of new protein families, the development of protein structure clustering, and the integration of AlphaFold with conventional experimental techniques to solve large structures. These advancements are paving the way for a deeper understanding of protein structure and function and have the potential to unlock new discoveries in the life sciences. However, the review also acknowledges the challenges and limitations that persist in the field, including the lack of diversity in high-throughput software for protein structural bioinformatics and the existing bottleneck in rapidly predicting protein complex structures. Overall, structural bioinformatics is expected to play an even more crucial role in the life sciences with the development of high-throughput methodology.

As a microbial therapy method, Fecal Microbiota Transplantation (FMT) has attracted the attention of researchers in recent years. As one of the most direct and effective methods to improve gut microbiota, FMT achieves therapeutic benefits by transplanting functional gut microbiota from healthy human feces into the intestines of patients to reconstruct new gut microbiota. FMT has been proven to be an effective treatment for gastrointestinal diseases such as Clostridium difficile infection, irritable bowel syndrome, and inflammatory bowel disease. In addition, the clinical and basic research of FMT outside the gastrointestinal system is also emerging. It is worth noting that there is bidirectional communication between the gut microbial community and the central nervous system(CNS) through the gut-brain axis. Some gut bacteria can synthesize and release neurotransmitters such as glutamate, GABA (gamma-aminobutyric acid) and dopamine. Imbalanced gut microbiota may interfere with the normal levels of these neurotransmitters, thereby affecting brain function. Gut microbiota can also produce metabolites that may cross the blood-brain barrier and affect CNS function. FMT may affect the occurrence and development of CNS and its related diseases by reshaping the gut microbiota of patients through a variety of pathways such as nerves, immunity, metabolites and so on. This article introduces the development of FMT and the research status of FMT in China, and reviews the basic and clinical research of FMT in neurodegenerative diseases (Alzheimer's disease, Parkinson's disease), neurotraumatic diseases (spinal cord injury, traumatic brain injury) and stroke from the characteristics of three types of nervous system diseases, the characteristics of intestinal flora, and the therapeutic effect and mechanism of fecal microbiota transplantation, summarize the common mechanism of fecal microbiota transplantation in the treatment of CNS and the therapeutic targets. We found that the common mechanisms of FMT in the treatment of nervous system diseases may include the following three categories through summary and analysis: 1.Gut microbiota metabolites, such as SCFAs, TMAO and LPS. 2.Inflammatory factors and immune inflammatory pathways such as TLR-MyD88 and NF-κB. 3.Neurotransmitter 5-HT(Graphical abstract; Table 1).In the process of reviewing the studies, we found the following problems: 1.In basic researches on the relationship between FMT and CNS diseases, there are relatively few studies involving the autonomic nervous system pathway. 2.Clinical trial studies have shown that FMT improves the severity of patients' symptoms and may be a promising treatment for a variety of neurological diseases. 3.The improvement of clinical efficacy is closely related to the choice of donor, especially emphasizing that FMT from healthy and young donors may be the key to the improvement of neurological diseases. However, there are common challenges in current research on FMT, such as the scientific and rigorous design of FMT clinical trials, including whether antibiotics are used before transplantation or different antibiotics are used, as well as different FMT processes, different donors, different functional analysis methods of gut microbiota, and the duration of FMT effect. Besides, the safety of FMT should be better elucidated, especially weighing the relationship between the therapeutic benefits and potential risks of FMT carefully. It is worth mentioning that the clinical development of FMT even exceeds its basic research. Science and TIME rated FMT as one of the top ten breakthroughs in the field of biomedicine in 2013. FMT therapy has great potential in the treatment of nervous system diseases, is expected to open up a new situation in the medical field, and may become an innovative weapon in the medical field.

Plant natural products have a wide range of pharmacological properties, not only can they be used as plant dietary supplements to meet the nutritional needs of the human body in the accelerated pace of life, but also occupy an important position in the research and development of therapeutic drugs for the treatment of tumors, inflammation and other diseases, and have been widely accepted by the public due to their good safety. However, despite the above advantages of plant natural products, limiting factors such as low solubility, poor stability, lack of targeting, high toxicity and side effects, and unacceptable odor have greatly impeded their conversion to clinical applications. Therefore, the development of new avenues for the application of new natural products has become an urgent problem to be solved at present. In recent years, with the continuous development of research, various strategies have been developed to improve the bioavailability of natural products. Among them, nanocarrier delivery system is one of the most attractive strategies at present. In past studies, a large number of nanomaterials (organic, inorganic, etc.) have been developed to encapsulate plant-derived natural products for their efficient delivery to specific organs and cells. Up to now, nanotechnology has not only been limited to pharmaceutical applications, but is also competing in the fields of nanofood processing technology and nanoemulsions. Among the various nanocarriers, liposomes are the largest nanocarriers with the largest market share at present. Liposomes are bilayer nanovesicles synthesized from amphiphilic substances, which have advantages such as high drug loading capacity and stability. Attractively, the flexible surface of liposomes can be modified with various functional elements. Functionalized modification of liposomes with different functional elements such as antibodies, nucleic acids, peptides, and stimuli-responsive moieties can bring out the excellent drug delivery function of liposomes to a greater extent. For example, the modification of functional elements with targeting function such as nucleic acids and antibodies on the surface of liposomes can deliver natural products to the target location and improve the bioavailability of drugs; the modification of stimulus-responsive groups such as photosensitizers, magnetic nanoparticles, pH-responsive groups, and temperature sensitizers on the surface of liposomes can achieve controlled release of drugs, localized targeting, and synergistic thermotherapy. In addition to the above properties, by using functionalized liposomes to encapsulate natural products with irritating properties can also effectively mask the irritating properties of natural products, improve public acceptance, and increase the possibility of application of irritating natural products. There are various strategies for modifying liposomes with functional elements, and the properties of functionalized liposomes constructed by different construction strategies differ. The commonly used construction strategies for functionalized liposomes include covalent modification and non-covalent modification. These two types of construction strategies have their own advantages and disadvantages. Covalent modification has better stability than non-covalent modification, but its operation is cumbersome. With the above background, this review focuses on the three typical problems faced by plant natural products at present, and summarizes the specific applications of functionalized liposomes in them. In addition, this paper summarizes the construction strategies for building different types of functionalized liposomes. Finally, this paper will also review the opportunities and challenges faced by functionalized liposomes to enter clinical therapy, and explore the opportunities to overcome these problems, with a view to better realizing the precise control of plant nanomedicines, and providing ideas and inspirations for researchers in related fields as well as relevant industrial staff.

Abstract: Objective GQDs has become a superstar among zero-dimensional carbon-based materials. As one of the most abundant and important biological elements, its unique optical properties, high dispersion and biocompatibility have attracted extensive attention from scientists. This paper aims to investigate the RAW264.7 macrophage cell viability, apoptosis, inflammatory factors and cell imaging of GQDs in vitro, which could provide theoretical basis for the safe application of GQDs in biomedical field. Methods Graphene oxide was prepared by modified Hummer's method. H2O2 and W18O49 interacted with each other under hydrothermal conditions to produce hydroxyl radicals, which can cut graphene oxide into GQDs using a top-down approach. The microstructure of GQDs was analyzed in detail by X-ray powder diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, atomic force microscopy, scanning electron microscopy and Fourier infrared transform. The biocompatibility of GQDs on macrophage was evaluated by CCK-8 and dead/alive staining. Flow cytometry results showed the apoptosis of RAW264.7 macrophages induced by GQDs. mRNA expression of inflammatory factors was evaluated by RT-qPCR. Results Hydroxyl radicals are produced by H2O2 and W18O49 under hydrothermal conditions, which contribute to cut graphene oxide into 3-5 nm GQDs in one step. The quantum yield of this method is 43%. Fluorescence lifetime of these blue GQDs is 1.67ns. The Zigzag-type site and defect state of the triplet carbene radical lead to the excitation wavelength dependence of GQDs, and the optimal excitation and emission wavelengths are 330 nm and 400 nm, respectively. The boundary effect and amphiphilicity of quantum dots make GQDs possess abundant functional groups, vacancy defects and high dispersion, which results in GQDs exhibits good water solubility. RAW264.7 macrophages are incubated with different concentration in DEME medium for 24 h, 48 h and 72 h to evaluate cell. The survival rate of RAW264.7 cells is significantly dependent on the concentration and time of GQDs. CCK-8 and dead/alive staining show that GQDs have high biocompatibility. The effect of 200 μg/mL GQDs on apoptosis of RAW264.7 cells is revealed by the scatter plot of bivariate flow cytometry. Under the stimulation of LPS+INF-γ, the expression of TNF-α was increased in RAW264.7 cells, which co-acted with other cytokines to participate in the immune response of RAW264.7 cells in vitro, and mediated the production of IL-1β inflammatory factor in RAW264.7 cells, thereby inducing apoptosis of RAW264.7 cells. The results of RT-qPCR showed that GQDs can inhibit the growth of RAW264.7 cells in vitro, and stimulate them to increase TNF-α expression in RAW264.7 cells, which make cell membrane rupture and produce IL-1β inflammatory factors to induce cell apoptosis. The high biocompatibility of GQDs is attributed to the rich oxygen-containing functional groups (-COOH, -OH, and C=O) on the surface of GQDs, which makes its surface negatively charged and easy to be swallowed into the cell interior when interacting with the cell membrane with low affinity. Transmission electron microscopy (TEM) observed that the GQDs were swallowed into the cells. Furthermore, laser confocal results displayed that blue GQDs has certain ability of cell imaging in vitro. Conclusion The water solubility, low toxicity, fluorescence properties and the induction effect of inflammatory factors of GQDs provide broad prospects for their application in the field of immunotherapy and cell imaging in the future.

DNA genetic markers have always played important roles in individual identification, kinship analysis, ancestry inference and phenotype characterization in the field of forensic medicine. DNA methylation has unique advantages in biological age inference, body fluid identification and prediction of phenotypes. The majority of current studies independently examine DNA and DNA methylation markers using various workflows, and they use various analytical procedures to interpret the biological information these two markers present. Integrated methods detect DNA and DNA methylation markers simultaneously through a single experimental workflow using the same preparation of sample. Therefore, they can effectively reduce consumption of time and cost, streamline experimental procedures, and preserve valuable DNA samples taken from crime scenes. In this paper, the integrated detection approaches of DNA and DNA methylation markers on different detection platforms were reviewed. In order to convert methylation modifications to detectable forms, several options were available for pretreatment of genomic DNA, including digestion with methylation-sensitive restriction enzyme, affinity enrichment of methylated fragments, conversion of methylated or unmethylated cytosine. Multiplexed primers can be designed for DNA markers and converted DNA methylation markers for co-amplification. The schemes of using CE platform for integrated detection add the pretreatment of genomic DNA on the basis of detecting DNA genetic markers. DNA and DNA methylation markers are then integrated by co-amplification. But the limited number of fluorescent options available and the length of amplicons restrict the type and quantity of markers that can be integrated into a panel. Pyrophosphate sequencing also supports integrated detection of DNA and DNA methylation markers. On this platform, due to the conversion of unmethylated cytosine to thymine after treatment with bisulfite, the methylation level of CpG site can be directly calculated using the peak height ratio of cytosine bases and thymine bases. Therefore, the methylation levels and SNP typing can be simultaneously obtained. However, due to the limited read length of sequencing, the detection of markers with longer amplicons is restricted. It is not conducive to fully interpret the complete information of the target sequence. Next-generation sequencing also supports integrated detection of DNA and DNA methylation markers. A preliminary experimental process including DNA extraction, pretreatment of genomic DNA, co-preparation of DNA and DNA methylation library and co-sequencing, has been formed based on the next-generation sequencing platform. It confirmed the feasibility of next-generation sequencing technology for integrated detection of DNA and DNA methylation markers. In the field of biomedicine, various integrated detection schemes and corresponding data analysis approaches of DNA and DNA genetic markers developed based on the above detection process. Co-analysis can simultaneously obtain the genomic genetic and epigenetic information through a single analytic process. These schemes suggest that next-generation sequencing may be an effective method for achieving more accurate and highly integrated detection, helping to explore the potential for application in forensic biological samples. We finally explore the impact of interactions between sites and different pretreatment methods on the integrated detection of DNA and DNA methylation markers, and also propose the challenge of applying third-generation sequencing for integrated detection in forensic samples.

Hepatocellular carcinoma is one of the most common malignant tumors worldwide, posing a great threat to human health and life. Despite the tremendous progress in understanding the origin and molecular characterization of hepatocellular carcinoma, there are still fewer therapeutic options that can significantly increase the survival rate and improve the quality of life of patients. Protein post-translational modifications (PTMs) are regulatory mechanisms for the regulation of protein activity, localization, expression, and interactions with other cellular molecules that induce changes in protein properties and functions. More and more studies have demonstrated that PTMs and immunotherapy play an important role in the development of hepatocellular carcinoma, even in the immunosurveillance of hepatocellular carcinoma and the treatment and prognosis of hepatocellular carcinoma patients. Traditional types of PTMs include phosphorylation, glycosylation, methylation, and ubiquitination. Phosphorylation affects cancer development and progression by regulating tumor cell proliferation, invasion and metastasis, and inhibiting apoptosis. There are two main types of glycosylation: O-glycosylation and N-glycosylation. Abnormal glycosylation not only promotes the proliferation and metastasis of hepatocellular carcinoma cells, but also plays an important role in immune recognition and immune escape. Common methylation modifications include DNA methylation, RNA methylation and histone methylation. Among them, histone methylation , as an important epigenetic regulatory mechanism, is of great theoretical and practical significance for understanding the mechanism of hepatocellular carcinoma as well as carrying out the corresponding prevention and immunotherapy. Ubiquitination plays an important role in the localization, metabolism, function, regulation and degradation of proteins, and it is regulated at different levels by ubiquitin-activating enzyme (E1), ubiquitin-conjugating enzyme (E2), ubiquitin-conjugating enzyme (E3), and a series of deubiquitinating enzymes (DUBs) and is closely related to hepatocellular carcinoma immunotherapy. This paper begins with a brief overview of the importance of post-translational modification of proteins, discusses the importance of these traditional types of PTMs in hepatocellular carcinoma immunotherapy, and summarizes the most recent applications of these approaches in hepatocellular carcinoma in order to explore the mechanism of action of PTMs in hepatocellular carcinoma immunotherapy. Second, we summarize the finding that programmed death-ligand 1 (PD-L1) is associated with a variety of conventional types of PTMs, that in-depth study of the mechanisms regulating PD-L1 expression in tumor cells is expected to improve therapeutic efficacy, and that targeting PD-L1 in PTMs is expected to be a new field for exploring hepatocellular carcinoma immunotherapy in the future. Finally, we discuss the current status of research on PTMs for hepatocellular carcinoma immunotherapy and provide new insights and future research directions. In addition to the traditional types of PTMs, multiple novel PTMs have also been identified in published research reports, while the relationship between novel PTMs and hepatocellular carcinoma and the types of post-translational modifications to other undiscovered proteins are still poorly understood, and future research will be focused on a more comprehensive knowledge and understanding of PTMs as well as on exploring new types and mechanisms of PTMs. Overall, further investigation of the role of PTMs in tumor immunity could help to discover new biomarkers and to develop more effective and personalized cancer immunotherapies and targeted therapies, expanding our understanding of cancer biology.

Objective Coronavirus is a class of long-standing pathogens, which are enveloped single-stranded positive-sense RNA viruses. The genome all encodes 4 structural proteins: Spike protein (S), Nucleocapsid protein (N), Membrane protein (M), and Envelope protein (E). The Nucleocapsid protein (NP) serves as a key structural component of coronaviruses, playing a vital function in the viral life cycle. NP acts as an RNA-binding protein, with a critical role in identifying specific sequences within the viral genome RNA, facilitating the formation of ribonucleoprotein (RNP) complexes with viral RNA to stabilize the viral genome and contribute to viral particles assembly. The NP consists of two primary structural domains, the N-terminal domain (NTD) and the C-terminal domain (CTD). The NTD is primarily responsible for RNA binding, whereas the CTD is involved in polymerization. The N protein demonstrated to trigger the host immune response and to modulate the cell cycle of infected cells by interacting with host proteins. The NP, one of the most abundant protein in coronaviruses, is essential in understanding the pathogenic mechanism of coronaviruses through its interaction with host factors, which response for determining the virus pathogenicity. HCoV-229E is a widely distributed coronavirus that typically causes mild upper respiratory tract diseases, accounting for a significant portion of common cold cases. However, its pathogenicity is notably lower compared to other coronaviruses like MERS-CoV, SARS-CoV, and SARS-CoV-2. The exact molecular mechanism behind remains unexplained, and how HCoV-229E N protein influences virus replication, host antiviral immunity, and pathogenesis need to be further explored. Method Utilized Proximity Labeling-Mass Spectrometry Technique and bioinformatics analysis to screen for potential host factors interacting with the nucleocapsid protein (NP) of human coronavirus 229E (HCoV-229E). In this research, a recombinant adenovirus Ad-V5-NPHCoV-229E-TurboID was constructed to express the fusion protein of HCoV-229E NP and biotin ligase (TurboID). A549 cells were infected with the Ad-V5-NPHCoV-229E-TurboID. After 30 min biotin treatment, NP interacting proteins were labeled with biotin by biotin ligase, and subsequently isolated with streptavidin cross-linked magnetic beads. The potential interacting proteins were identified using label-free proteomic mass spectrometry and further validated through immunoprecipitation and immunofluorescence assays. Results We identified a total of 584 potential interacting proteins. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted the enrichment of GSK3A and GSK3B in the glycolysis/gluconeogenesis pathway, indicating HCoV-229E NP connection to diabetes through aberrant activity. Moreover, SARS-CoV-2 infection can exacerbate hyperglycemia and metabolic dysregulation in diabetic individuals by activating the ACE2 receptor. Moreover, SARS-CoV-2 was observed to cause potentially harm to pancreatic β-cells and leading to insulin deficiency, which not only worsens the condition of diabetic patients but also raises the possibility of new-onset diabetes in non-diabetic individuals. We demonstrated that glycogen synthase kinase (GSK3A and GSK3B) interacted with NP of HCoV-229E, suggesting that the N protein may engage in various coronavirus pathogenic processes by interacting with GSK-3. Conclusion These findings suggest that the Proximity Labeling-Mass Spectrometry Technique is a valuable tool for identifying virus-host interaction factors, and lay the foundation for future investigations into the mechanisms underlying coronavirus replication, proliferation, and pathogenesis.

Macrophages exist in almost all organs of the body, are responsible for detecting tissue injury, pathogens and antibody, playing a key role in host defense against a variety of invading pathogens triggering inflammatory responses, and emerging evidence suggests that macrophage-mediated immune responses are efficiently regulated by the ubiquitination modification, which is responsible for normal immune responses. However, numerous studies indicates that the aberrant activation or inhibition of macrophage-mediated immune responses occurs in inflammation, mainly caused by dysregulated ubiquitination modification due to E3 ubiquitin ligases mutations or abnormal expression. Notably, E3 ubiquitin ligases, responsible for recognizing the substrates, are key enzymes in the ubiquitin-proteasome system (UPS) composed of ubiquitin (Ub), ubiquitin-activating E1 enzymes, the ubiquitin-conjugating E2 enzymes, and the E3 ubiquitin ligases, 26S proteasome, and deubiquitinating enzymes. Intriguingly, several E3 ubiquitin ligases are involved in the regulation of some common signal pathways in macrophage-mediated inflammation, including Toll-like receptors (TLRs), nucleotide-binding oligomerization domain (NOD) -like receptors (NLRs), RIG-I-like receptors (RLRs), C-type lectin receptors (CLRs) and the receptor for advanced glycation end products (RAGE). Herein, we figure out to summary the physiological and pathological roles of E3 ligases in macrophage-mediated inflammation, as well as the discussions of inhibitors and agonists targeting E3 ligases macrophage-mediated inflammation, providing the new ideas for targeted therapies in macrophage-mediated inflammation caused aberrant function of E3 ligases.

The accurate determination of the tissue properties of forensic scene body fluid samples can provide important value for crime scene reconstruction and case adjudication. In this study, a SHERLOCK-HBA detection method was established based on the CRISPR/Cas technology principle by designing and selecting specific HBA-crRNA short fragments. A total of 79 samples of 5 types of body fluids (including semen, peripheral blood, menstrual blood, saliva, and vaginal secretions) were detected to evaluate the ability of the method to distinguish blood. Through further verification experiments including species specificity experiments, sensitivity experiments, mixed spot detection, and simulated degraded sample detection, the forensic application ability of the experimental system was demonstrated. The results showed that the RFU value of blood detection using this technology method was significantly higher than that of non-blood samples (P<0.0001) and non-human blood samples (P<0.0001). The detection sensitivity for blood RNA could reach 1pg, and even trace amounts of blood components in mixed spots and old degraded spots could be successfully detected. Additionally, the operation is more straightforward and efficient, offering a novel approach and method for the rapid identification of blood samples.

Pancreatic cancer (PC) is a highly fatal disease which originated from pancreatic epithelial and acinar cells, and the survival rate of pancreatic cancer patients is only about 12%. Approximately 95% of pancreatic cancer presents as ductal adenocarcinoma (PDAC). Pancreatic cancer is characterized by high aggressiveness, rapid progression and progression, and high resistance to treatment. Common somatic mutated genes in the early stage of pancreatic cancer include KRAS, CDKN2A, TP53, and SMAD4. Most pancreatic cancer patients are affected by environmental risk factors such as age, sex and diet. Malignant pancreatic cancer tumors is associated with non-invasive, preneoplastic lesions that are thoughed 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 pancreatic cancer new therapies, 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.

Neurons are polarized cells with cell body, a network of dendrites, and elongated axons with branches and endings. To maintain normal physiological function of neurons throughout the lifetime of vertebrates, a lot of energy is needed to maintain resting potential and synaptic transmission of neurons. Neurons rely primarily on oxidative phosphorylation of mitochondria to produce ATP for energy. Healthy mitochondria were transport and anchor to energy-consuming regions such as axon branches and presynaptic endings, while retrograde old or damaged mitochondria to the cell body for elimination from axon terminal. In this paper, based on my own research, we will discuss how the mitochondria overcome the resistance to the long distance transport in neuronal axon under the driving force from the point of view of mechanics. These novel views will provide important references for understanding the neurological diseases caused by mitochondrial transport disorders.

Smoking is the leading preventable risk factor for disease and death worldwide. Tobacco and its smoke contain a complex mix of over 9500 chemical substances, including oxidative gases, heavy metals, and 83 known carcinogens. Long-term smoking is a significant risk factor for respiratory diseases such as acute lung injury, emphysema, and pulmonary fibrosis. Damage to alveolar epithelial cells(AECs) is a common pathological feature in these smoking-related lung diseases. AECs, which line the surface of the alveoli, play a crucial role in preventing overexpansion or collapse, secreting cell factors and surfactants, containing abundant mitochondria, and being essential for lung tissue maturation, gas exchange, metabolism, and repair after damage. Damage to these cells can lead to pulmonary edema and alveolar collapse. Cigarette smoke (CS) can disrupt alveolar epithelial cell function through various pathways, resulting in cell death, tissue damage, and the development of lung diseases.This review summarizes recent research on the damage caused by CS to AECs, showing that CS can promote cell death and damage through induction of oxidative stress, autophagy, endoplasmic reticulum stress, mitochondrial dysfunction, inflammation, and epithelial-mesenchymal transition. It also affects the proliferative function of alveolar type II epithelial cells. The review highlights that CS-induced oxidative stress is a key factor in causing various types of damage, with TRP ion channels serving as important triggers. Inhibiting CS-induced oxidative damage can significantly prevent cell death and subsequent diseases such as pulmonary emphysema. The activation of the same pathway induced by CS can lead to different types of cell damage, potentially encouraging the development of different diseases. CS can either directly induce or indirectly promote cell inflammation through endoplasmic reticulum stress, mitochondrial dysfunction, and senescence. There are interconnected relationships between these mechanisms, and SIRT1 is an important protein in preventing CS-induced AECs damage. Increasing SIRT1 activity can alleviate CS-induced autophagy, endoplasmic reticulum stress, and senescence in various cell damages; its substrate NAD+ is already used clinically, and its effectiveness in COPD treatment deserves further exploration. The impact of CS on cells varies based on concentration: lower concentrations stimulate stress responses or apoptosis, while higher concentrations lead to apoptosis or necrosis through various mechanisms, ultimately impairing lung epithelial function. When external stimuli exceed the cells' self-healing capacity, they can cause damage to cells, lung epithelial barriers, and alveoli, promoting the development of related lung diseases. Key proteins that play a protective role may serve as potential targets to mitigate cell damage.This review provides insights into the various mechanisms through which CS induces damage to AECs, covering important transcription factors, DNA repair proteins, and membrane channel proteins, paving the way for the study of new mechanisms and pathways. However, there are still unanswered questions, such as the need for further exploration of the upstream pathways of CS-induced autophagy in AECs and the intrinsic mechanisms of CS in enhancing the stem cell properties of AECs and its relationship to the occurrence of lung cancer.It is expected that this article will provide a theoretical basis for future research on the mechanisms of lung epithelial cell damage caused by CS or its individual components and inspire clinical strategies for the prevention and treatment of smoking-related lung diseases

Objective The distribution of water content in plant leaves is an important indicator for measuring plant physiology and biochemistry, and it is also an important basis for formulating drought resistance strategies in the field of agricultural science. Microwave imaging has high contrast in the distribution and variation of water content, while ultrasound imaging has high resolution. Method This paper proposes a thermoacoustic imaging (TAI) technology that combines the advantages of microwave and ultrasound imaging. Using this technology, non-destructive testing research on the distribution of water content in plant leaves has been carried out. This paper constructs a two-dimensional transmissive TAI system with an excitation frequency of 3.0 GHz and a lateral resolution of 0.406 mm, which achieves non-destructive detection of water content distribution in leaves of Datura, Chrysanthemum and Perilla. The results are consistent with magnetic resonance imaging (MRI). Results Based on active heating technology (150 ℃ hot air, 90 seconds), three sets of mandala leaf moisture loss processes were simulated, and their TAI images were quantitatively analyzed. The results showed that heating caused local moisture loss and reduced thermoacoustic signals, verifying the feasibility of non-destructive detection of plant leaf water content changes based on TAI. Conclusion This study contributes to achieving precise irrigation and provides technical support for studying the response characteristics of plants to the environment under normal and stress environments.

Abstract Objective Asthma is a common chronic inflammatory airway disease, and severe asthma poses a significant challenge in its diagnosis and management. Immune cells are involved in and altered by asthma pathogenesis, and several lipid metabolites can serve as diagnostic markers for the disease. In this study, we investigated the characterization of severe asthma at the metabolic and cellular level. Methods Differential metabolites and pathways were identified in blood samples from severe asthma (41 cases) and control (18 cases) groups. Additionally, the types and proportions of immune cells in the blood were characterized (5 severe patients and 3 controls), and the differential metabolic pathways in single cells were studied. Results Compared with controls, the abundance of 28 metabolites was increased and the abundance of 13 metabolites was decreased in the blood of patients with severe asthma (P <= 0.05); the differential metabolites were enriched in four pathways: sphingolipid metabolism, glycerophospholipid metabolism, nicotinate and nicotinamide metabolism, and histidine metabolism. Among them, 13 differential metabolites could be used as biomarkers for the diagnosis of severe asthma, including L-glutamic acid (AUC = 0.809), nicotinamide (AUC = 0.886), phytosphingosine (AUC = 0.882), and sphinganine (AUC = 0.893). In single-cell transcriptome analysis, five key cell types were identified: CD4+ T cells, CD8+ T cells, NK cells, B cells, and monocytes. The number of NK cells was increased in patients with severe asthma, and severe asthma exhibited more frequent cellular communication, particularly dense communication between CD8+ T cells and other cell types. In healthy samples, monocytes were the primary cells engaging in dense communication. Single-sample gene enrichment analysis (ssGSEA) showed that four pathways enriched for differential metabolites had lower scores (P <= 0.01) in CD4+ T and CD8+ T cells in severe patients, and it was hypothesized that the expression of genes associated with these pathways was suppressed in these two types of cells. The suppressed genes included DGKA and NT5C3A, which are associated with immune processes.We observed that these genes play key roles in the regulation of T cell signaling, activation, differentiation, and immune responses. Conclusion L-glutamic acid, nicotinamide, phytosphingosine, and sphinganine can be used as biomarkers for the diagnosis of severe asthma; genes of the severe asthma-associated pathway were suppressed in CD4+ T cells and CD8+ T cells.

Given the constraints imposed by the "14-day ethics" rule, numerous critical events occurring between the second and fourth weeks of embryonic development remain poorly understood. This underscores the necessity of a detailed understanding of embryonic development and regulation during this period, which is indispensable for preventing pregnancy failure, treating birth defects, and promoting human reproductive health. Rodents, characterized by their small size, rapid growth, strong reproductive capacity, and fully sequenced genomes, are widely used as crucial models for studying embryonic development. However, the substantial physiological differences between rodents and primates due to evolutionary divergence make it challenging to directly apply findings from rodent studies to primates. Besides, Primates, our closest relatives in terms of evolutionary phylogenetics and physiological characteristics, share more than 95% genetic homology with humans, underscoring the urgent need for primate research. Furthermore, early-stage embryonic cells are both scarce and diverse, making their regulatory mechanisms and developmental pathways typically elucidated through single-cell sequencing. For instance, three significant articles published in Science in 2018 mapped the complete atlas of organ and tissue development from fertilization and captured dynamic gene expression profiles in zebrafish and frogs through single-cell transcriptomics. Unfortunately, relying solely on single-cell omics analysis falls short in effectively and comprehensively deciphering the intricate cellular network information. Single-cell multi-omics empower researchers to systematically decode cell heterogeneity and developmental trajectories at the individual cell level by combining transcriptomics, epigenomics, proteomics, and metabolomics analyses. These emerging technologies play a significant role in life sciences, enabling the elucidation of critical early primate embryonic development events from a multi-dimensional perspective, including zygotic genome activation (ZGA), X-chromosome dosage compensation, origins of primordial germ cells (PGCs), mechanisms of cell fate determination, and pivotal events in gastrulation and early organogenesis. This article chronicles the advancement of pivotal technologies, from single-cell histology to multi-omics, beginning with the single-cell transcriptome and culminating in a comprehensive analysis according to the central dogma of molecular biology. It highlights the transition from a singular to a holistic perspective in cellular analysis and reviews the application of multi-omics techniques in unveiling early primate embryonic development. Finally, it delves into the application of multi-omics technologies in enhancing our understanding of early primate embryonic development and explores future possibilities, directions, and challenges in this rapidly evolving field. In doing so, it emphasizes the critical role of interdisciplinary approaches, combining insights from genetics, molecular biology, and bioinformatics to foster innovations in reproductive medicine and developmental biology. The integration of such technologies offers the promise of breakthroughs in understanding complex biological processes, potentially leading to novel therapeutic strategies and advancements in reproductive health and medicine.

Consciousness and unconsciousness represent a compelling topic in psychology and neuroscience, embodying a dynamic interplay between two fundamental cognitive states. Understanding the cognitive and neural mechanisms underlying their interaction poses a significant challenge. While previous studies have predominantly focused on the impact of attention on consciousness, the influence of attention on unconscious processes has often been overlooked. However, the role of attention in modulating unconscious information processing is paramount, as it can regulate various aspects of unconscious visual processing, including simple visual information, semantic content, and emotional stimuli. Within the visual processing pathway, attention operates at early levels to modulate unconscious visual processing, starting at least from the eye-of-origin and visual orientations. In the semantic system, attention can top-down enhance unconscious semantic processes in a goal-dependent manner, enhancing goal-relevant processes while suppressing goal-irrelevant ones. In the emotional system, attentional load, in addition to target relevance, can regulate unconscious emotional processing. These findings suggest that the regulatory role of attention on unconscious processes depends on both goal relevance and the amount of attentional resources. Specifically, the goal-relevance of unconscious processes determines the direction of attentional modulation, while the amount of attentional resources allocated determines the extent of modulation. The once-prevailing notion that unconscious processing is automatic and not subject to attentional modulation has been gradually overturned. Current studies indicate that attention can modulate both conscious and unconscious processes, providing a new perspective on the relationship between attention and consciousness. Spatial attention can operate independently of consciousness at the neural representation level. Furthermore, other factors tightly related to attention, such as goal-related task sets, working memory, and attentional load, can all impact unconscious processes. These findings collectively suggest that attention and consciousness are functionally dissociated, supporting the idea that attention is necessary for both conscious and some unconscious processes. In conclusion, unconscious information processing is a complex and intriguing field where attention plays a crucial role. Continued in-depth research in this area is needed to deepen our understanding of how the human brain processes unconscious information and how attention exerts its regulatory influence. This not only requires studying the commonalities and specificities of different types of attention but also examining the sharing and individuality among different sensory modalities and cognitive modules. Theoretically, this not only helps us understand the mechanisms of attention but also sheds light on the mechanisms of consciousness. Studying these issues is also of practical value. Importantly, the organization and regulation of unconscious processes are closely related to human survival and development. For example, while rapid unconscious emotional processes (such as unconscious fear) are beneficial for rapid threat responses and increased survival chances, excessive and uncontrolled unconscious emotional processes can lead to anxiety disorders, phobias, and other mental disorders. Furthermore, while repeated perceptual and behavioral training can improve efficiency by forming highly automated unconscious processes, excessively stubborn unconscious processes can hinder the learning of new skills. Studying the role of attention in regulating these unconscious processes can help develop new intervention methods to maintain mental health and improve behavioral performance.

Cardiovascular disease is the first killer in world, and lipid metabolism disorders are the main cause of atherosclerotic cardiovascular and cerebrovascular diseases, which can lead to acute events such as myocardial infarction, stroke, acute pancreatitis, and chronic kidney disease. The rapid development of gene therapy technology has provided an effective means for the study on the mechanism of lipid metabolism and made it possible to cure the disease. Adeno-associated virus is one of the most commonly used gene delivery tools for gene therapy due to its wide host range, high safety, low immunogenicity and long-term stable expression. This article reviews the role of adeno-associated virus as gene therapy delivery vector in the study of the lipid metabolism and the lipid-lowering therapy.

Objective Hemoglobin is the iron-containing protein in the red blood cells of many animals. The primary function of hemoglobin is to transport oxygen from lung to tissues. It is composed of two identical α-globin subunits and two identical β-globin subunits. Hemoglobin has unique magnetic properties. The paramagnetism of deoxyhemoglobin, and the diamagnetism of oxyhemoglobin and carboxyhaemoglobin have been reported previously. Studies have also shown that external magnetic field affected blood flow rate, but whether magnetic field may affect the oxygenation rate of hemoglobin remains unknown. Here in this study, we are aiming to address this question with recombinant hemoglobin. Human hemoglobin and yak hemoglobin were selected as the research objects, and a recombinant protein expression and purification system was established to explore the magnetic field effects on the oxygenation rate of hemoglobin, as well as the differences in the oxygenation rate between human hemoglobin and yak hemoglobin under external magnetic field. Methods The recombinant expression and purification system of human and yak hemoglobin was established. The recombinant hemoglobin expression was further optimized and appropriated inducing temperature and IPTG concentration were screened. Recombinant human hemoglobin and yak hemoglobin were purified to homogeneity by affinity chromatography and further by size-exclusion chromatography. SDS-PAGE was used to validate the purification, and UV-Vis spectrum and EPR were used to characterize the biochemical properties of recombinant hemoglobin. Deoxyhemoglobin of human and yak were placed under 0.3 T external magnetic field to test the magnetic field effects on oxygenation rate, and geomagnetic field condition was used as a sham control. The UV-vis spectrum data were measured every 10 minutes, and the concentration and proportion of oxygenated hemoglobin, deoxyhemoglobin and methemoglobin were calculated to analyze the effects of magnetic field on the oxygenation rate of hemoglobin. The magnetic properties of human oxygenated hemoglobin and human deoxygenated hemoglobin have been measured by SQUID, a superconducting quantum interference magnetic measurement system. Three biological replications were performed for each experiment. The possible mechanism of the effect of magnetic field on the oxygenation rate of hemoglobin has been investigated and discussed. Results Human and yak hemoglobin were successfully expressed and purified by E.coli prokaryotic expression system. The optimal expression temperature was 30℃, and the most suitable IPTG concentration was 1mM. EPR results suggested that trace amount of methemoglobin existed both in the purified human hemoglobin and yak hemoglobin proteins. The oxygenation rate of yak hemoglobin appeared to be faster than that of human hemoglobin, and the additional magnetic field treatment significantly increased the oxygenation rate of both human and yak hemoglobin, and yak hemoglobin was more sensitive to magnetic field than human hemoglobin. The paramagnetism of deoxyhemoglobin was verified by SQUID measurement. However, the diamagnetism of oxygenated hemoglobin remains uncertain, probably due to the presence of trace amount of methemoglobin in the sample of oxygenated hemoglobin, which was consistent with EPR results. Conclusion In this study, human and yak hemoglobin were successfully expressed and purified. The purified hemoglobin proteins have similar function and conformational states as native protein. External static magnetic fields facilitate hemoglobin oxygenation, and yak hemoglobin seems more sensitive to magnetic field compared with human hemoglobin. These findings provide theoretical basis for the potential applications of applying magnetic field to improve hypoxia symptoms in clinical practice in the future.

Objective The absorption of substances into blood is mainly based on the mesenteric lymphatic pathway and the portal venous pathway. The substances transported by the portal venous pathway can be biotransformed by liver. The substances in the mesenteric lymph fluid enter the blood circulation directly without biotransformation and affect the body. Therefore, exploring the changes of substances transported by the mesenteric lymphatic pathway and their harmfulness after drinking alcohol is particularly important. Methods In the experiment, male Wistar rats were divided into high, medium, and low- dosage alcohol groups (56, 28, and 5.6 degree liquor, respectively) and water groups. The experiment was conducted by alcohol gavage lasting 10 days, 10 mL/kg/day. Then mesenteric lymph fluid was collected for liquid Chromatography-Mass Spectrometry (LC-MS) non-targeted metabolomic analysis and bioinformatics analysis. Results The metabolites in the mesenteric lymph fluid of the high-dosage alcohol group changed the most. Based on the enriched KEGG pathways of differential metabolites in mesenteric lymph, the pathways of differential metabolites between the high- dosage alcohol group and the control group were mainly enriched in the central carbon metabolism in cancer, bile secretion, linoleic acid metabolism, synthesis of unsaturated fatty acids, etc.; And the differential metabolites are mainly associated with diseases: schizophrenia, alzheimer"s disease, lung cancer, and gastric cancer. The differential metabolites between the medium-dosage alcohol and the control group were mainly enriched in phenylalanine metabolism, biosynthesis of valine, leucine and isoleucine, linoleic acid metabolism, cholesterol metabolism and other pathways; The differential metabolites are mainly related to diseases: schizophrenia disease, alzheimer"s disease, lung cancer, parkinson"s disease, etc. Conclusions After alcohol intake, a lot of metabolites transported by the intestinal lymphatic pathway significantly changed, especially in the high-dosage group. Furthermore, alcohol intake may cause inflammatory reactions and the occurrence of neurological diseases, psychiatric diseases and cancer diseases.

Objective Angle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. Methods The experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 milliseconds and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. Results In this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of the porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error of 0.317. Conclusion ORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas in the future.

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, defined by several phases, ranging from benign fat accumulation to non-alcoholic steatohepatitis (NASH), which can lead to liver cancer and cirrhosis. Although NAFLD is a disease of disordered metabolism, it also involves several immune cell-mediated inflammatory processes, either promoting and/or suppressing hepatocyte inflammation through the secretion of pro-inflammatory and/or anti-inflammatory factors to influence the NAFLD process. However, the underlying disease mechanism and the role of immune cells are still under investigation, leaving many open-ended questions. In this review, we presented the recent discovery about the interplay of immune cells in the onset and pathogenesis of NAFLD. We also highlighted the specific non-immune cells exhibiting immunological properties of therapeutic significance in NAFLD. We hope that this review will help guide the development of future NAFLD therapeutics.

The Piezo protein is a non-selective mechanosensitive cation channel that exhibits sensitivity to mechanical stimuli such as pressure and shear stress. It converts mechanical signals into bioelectric activity within cells, thus triggering specific biological responses. In the digestive system, Piezo protein plays a crucial role in maintaining normal physiological activities, including digestion, absorption, metabolic regulation, and immune modulation. However, dysregulation in Piezo protein expression may lead to the occurrence of several pathological conditions, including visceral hypersensitivity, impairment of intestinal mucosal barrier function, and immune inflammation. Therefore, conducting a comprehensive review of the physiological functions and pathological roles of Piezo protein in the digestive system is of paramount importance. In this review article, we will systematically summarize the structural and dynamic characteristics of Piezo protein, its expression patterns, and physiological functions in the digestive system. We will particularly focus on elucidating the mechanisms of action of Piezo protein in digestive system tumor diseases, inflammatory diseases, fibrotic diseases, and functional disorders. Through the integration of the latest research findings, we have observed that Piezo protein plays a crucial role in the pathogenesis of various digestive system diseases. There exist intricate interactions between Piezo protein and multiple phenotypes of digestive system tumors such as proliferation, apoptosis, and metastasis. In inflammatory diseases, Piezo protein promotes intestinal immune responses and pancreatic trypsinogen activation, contributing to the development of ulcerative colitis, Crohn's disease, and pancreatitis. Additionally, Piezo1, through pathways involving co-action with the TRPV4 ion channel, facilitates neutrophil recruitment and suppresses HIF-1α ubiquitination, thereby mediating organ fibrosis in organs like the liver and pancreas. Moreover, Piezo protein regulation by gut microbiota or factors like age and gender can result in increased or decreased visceral sensitivity, and alterations in intestinal mucosal barrier structure and permeability, which are closely associated with functional disorders like IBS and FC. A thorough exploration of Piezo protein as a potential therapeutic target in digestive system diseases can provide a scientific basis and theoretical support for future clinical diagnosis and treatment strategies.

The relationship between exercise and cardiac health has always been a hotspot in the fields of medicine and exercise science. Recently, with the in-depth study of the biological clock, people have gradually realized the close relationship between cardiac metabolic activity and circadian rhythms. The mammalian circadian system includes the central circadian clock and peripheral circadian clocks, the central circadian clock is the main clock system responsible for regulating the circadian rhythms in organisms, located in the suprachiasmatic nucleus (SCN) of the hypothalamus in mammals, which receives light signals from the retina and translates them into neural signals to regulate peripheral circadian clocks distributed throughout the body. Peripheral circadian clocks exist in various tissues and organs of organisms, coordinating with the central circadian clock to maintain the circadian rhythms of the organism. A series of clock genes regulate downstream clock-controlled genes through the transcriptional-translational feedback loop (TTFL), profoundly affecting the physiological activities of the heart, including cardiac contraction, relaxation, and metabolic processes. Factors such as sleep disorders, shift work, light pollution, and excessive use of electronic devices in modern lifestyles have led to widespread disruption of circadian rhythms, which are significantly correlated with increased cardiovascular disease incidence and mortality. Studies have found that dysregulation of the cardiac circadian clock can not only lead to myocardial lipid degeneration and weakened metabolic rhythms but also decrease myocardial glucose utilization, thereby increasing the risk of adverse cardiac events. Exercise, as a key Zeitgeber, has been widely demonstrated to regulate the circadian clocks of peripheral organs such as skeletal muscle, kidneys, and liver. Additionally, exercise, as an important means to improve cardiovascular function, can effectively enhance cardiac metabolic function and resistance to stress stimuli, playing a significant role in promoting heart health. However, the specific mechanisms by which exercise affects the cardiac circadian clock and its related genes are currently unclear. Therefore, this review will focus on the relationship between the cardiac circadian clock and cardiac metabolic activity, summarize previous research to review the possible mechanisms of exercise-mediated regulation of cardiac metabolic activity on the cardiac circadian clock. The cardiac circadian clock plays an important role in maintaining cardiac metabolic activity and physiological functions. The loss of cardiac circadian clock genes Bmal1 and Clock can significantly reduce cardiac fatty acid and glucose utilization rates, increase myocardial lipotoxicity, weaken the circadian rhythm of myocardial triglyceride metabolism, and lead to abnormalities in the circadian clocks of other peripheral organs. Exercise, as a Zeitgeber, can independently regulate the cardiac circadian clock apart from the central circadian clock. Additionally, exercise, as an important means to improve cardiovascular function, may regulate cardiac metabolic activity and the transcription of clock genes by activating the HPA and SAM axes and regulating energy metabolism, thereby maintaining the stability of the cardiac circadian clock and promoting heart health. Future research on the molecular mechanisms of exercise regulation of the cardiac circadian clock will help clarify the role and impact of clock genes in cardiac metabolism and physiological activities, providing new preventive and treatment strategies for shift workers, night owls, and patients with cardiovascular diseases. Therefore, future research should focus on (1) the mechanisms by which exercise regulates cardiac metabolic activity and the circadian clock, (2) the effects and mechanisms of exercise on the disruption of cardiac circadian clock induced by light-dark cycle disturbances, and (3) the effects of exercise on the metabolic activity and circadian rhythms of other peripheral organs regulated by the cardiac circadian clock.

Nonalcoholic fatty liver disease (NAFLD) does great harm to human health, and the incidence is increasing year by year. The liver serves an important role in lipid metabolism. Hepatic steatosis develops as a consequence of lipid metabolic dysregulation, namely the imbalance among fatty acid uptake, de novo lipogenesis(DNL), fatty acid oxidation(FAO) and very low density lipoprotein-mediated lipid export. With diverse health-promoting effects, exercise is a cheap and effective intervention for the prevention and treatment of NAFLD. Amelioration of impaired lipid metabolism acts as an important mechanism by which exercise protects against NAFLD. However, how exercise ameliorates lipid metabolic dysregulation is still unclear. Skeletal muscle is not only a vital organ of motion, but also has an endocrine function, it secretes numerous myokines which mediates exercise-induced benefits on our body. Irisin is a small peptide derived from proteolytic cleavage of fibronectin type III domain containing protein 5 (FNDC5). As a myokine, its production is regulated by exercise and it play an important role in exercise-induced protection against obesity-related chronic diseases, for example, NAFLD. A growing body of research has been demonstrated that irisin ameliorates lipid metabolic dysregulation in NAFLD. Irisin mediated inhibition of hepatic DNL and FAO has been reported. However, the effect of irisin on fatty acid uptake and lipid export is still unknown. In the present review, we summarized the researches focusing on how exercise regulated irisin production and the effect of irisin on lipid metabolism on NAFLD. To clarify the above problems will help us to better understand the role of irisin on exercise-mediated protection against NAFLD.

Alzheimer's disease (AD) is a central neurodegenerative disease characterized by progressive cognitive dysfunction and behavioral impairment, and there is a lack of effective drugs to treat AD clinically. Existing medications for the treatment of AD, such as Tacrine, Donepezil, Rivastigmine, and Aducanumab, only serve to delay symptoms and but not cure disease. To add insult to injury, these medications are associated with very serious adverse effects. Therefore, it is urgent to explore effective therapeutic drugs for AD. Recently, studies have shown that a variety of enzyme inhibitors, such as cholinesterase inhibitors, monoamine oxidase inhibitors, secretase inhibitors, can ameliorate cholinergic system dysfunction, Aβ production and deposition, tau protein hyperphosphorylation, oxidative stress damage, and the decline of synaptic plasticity, thereby improving AD symptoms and cognitive function. Some plant extracts from natural sources, such as Umbelliferone, Aaptamine, Medha Plus, have the ability to inhibit cholinesterase activity and act to improve learning and cognition. Isochromanone derivatives incorporating the donepezil pharmacophore bind to the CAS and PAS sites of AChE, which can inhibit AChE activity and ameliorate cholinergic system disorders. A compound called Rosmarinic acid which is found in the Lamiaceae can inhibit monoamine oxidase, increase monoamine levels in the brain, and reduce Aβ deposition. Compounds obtained by hybridization of coumarin derivatives and hydroxypyridinones can inhibit MAO-B activity and attenuate oxidative stress damage. Quinoline derivatives which inhibit the activation of AChE and MAO-B can reduce Aβ burden and promote learning and memory of mice. The compound derived from the combination of propargyl and tacrine retains the inhibitory capacity of tacrine towards cholinesterase, and also inhibits the activity of MAO by binding to the FAD cofactor of monoamine oxidase. A series of hybrids, obtained by an amide linker of chromone in combine with the benzylpiperidine moieties of donepezil, have a favorable safety profile of both cholinesterase and monoamine oxidase inhibitory activity. Single domain antibodies (such as AAV-VHH) targeted the inhibition of BACE1 can reduce Aβ production and deposition as well as the levels of inflammatory cells, which ultimately improve synaptic plasticity. 3-O-trans-p-coumaroyl maslinic acid from the extract of Ligustrum lucidum can specifically inhibit the activity of γ-secretase, thereby rescuing the long-term potentiation and enhancing synaptic plasticity in APP/PS1 mice. Inhibiting γ-secretase activity which leads to the decline of inflammatory factors (such as IFN-γ、IL-8) not only directly improves the pathology of AD, but also reduces Aβ production. Melatonin reduces the transcriptional expression of GSK-3β mRNA, thereby decreasing the levels of GSK-3β and reducing the phosphorylation induced by GSK-3β. Hydrogen sulfide can inhibit GSK-3β activity via sulfhydration of the Cys218 site of GSK-3β, resulting in the suppression of Tau protein hyperphosphorylation, which ameliorate the motor deficits and cognitive impairment in mice with AD. This article reviews enzyme inhibitors and conformational optimization of enzyme inhibitors targeting the regulation of cholinesterase, monoamine oxidase, secretase, and GSK-3β. We are hoping to provide a comprehensive overview of drug development in the enzyme inhibitors, which may be useful in treating AD.

Epilepsy is a common chronic neurological disorder caused by hypersynchronous abnormal discharges of neurons in the brain. Extensive physiological experiments and neural computational modeling studies have found that abnormal neuronal discharges are the electrophysiological basis of epileptic seizures. In addition, alterations in neuronal microenvironmental dynamics are potential causes of neuronal structural and functional changes that stimulate abnormal neuronal discharges, which in turn lead to the generation and development of epileptic seizures. Based on this point, this review paper first systematically elaborates and analyzes the four main factors influencing the alteration of neuronal microenvironment, including ion concentration, energy metabolism, neurotransmitters and cell volume, in terms of the neural mechanisms and modeling methods of their dynamics modeling. The main methods and processes of microenvironmental dynamics modeling to explore the dynamic nature of epileptic discharges are employing mathematical and biophysical expressions to model the dynamics of neuronal microenvironmental alterations associated with epileptic seizures found in physiological experiments, and then analyzing and exploring the dynamic nature of neuronal epileptic discharges generation and transition through numerical simulations and bifurcation analysis. Among the epileptic discharge patterns mainly include epileptic seizure/bursting (SZ), spreading depolarizations (SD), hypoxic diffusive depolarizations (HSD), tonic firing (TF), and depolarization blocking (DB), etc. Existing works have revealed and verified that disruption of neuronal microenvironment homeostasis caused by loss of ionic homeostasis (e.g., excessive accumulation of intracellular Na+ and Cl? and extracellular K+), imbalance of excitatory and inhibitory neurotransmitters (e.g., excessively high concentration of Glu and low concentration of GABA in the extracellular space or synaptic clefts), depletion of energy metabolism substances (e.g., insufficient supply of O2 and ATP or excessive energy consumption due to abnormal neuronal discharges), cytotoxic swelling, etc., which can induce the generation and development of seizures. In combination with related works on the neuronal microenvironmental dynamics modeling methods, we finally discuss and summarize the future research directions. It is expected to have a more comprehensive perspective on the development trends and research progress in this field, and at the same time will provide the favorable basis for further research on the dynamic nature of epileptic discharge patterns and the neural mechanisms of epilepsy.

Abstract Objective: To investigate the effect of MUC1 on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. Methods: The sixty NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in the Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). The proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). Results: The expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. Conclusion: Downregulation of MUC1 restrained biological characteristics of malignancy, including the proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC.

Objective Inferring cancer driver genes, especially rare or sample-specific cancer driver genes, is crucial for precision oncology. Considering the high inter-tumor heterogeneity, a few recent methods attempt to reveal cancer driver genes at the individual level. However, most of these methods generally integrate multi-omics data into a single biomolecular network (e.g., gene regulatory network or protein-protein interaction network) to identify cancer driver genes, which results in missing important interactions highlighted in different networks. Methods A multiplex network control method (called PDGMN) was proposed to identify Personalized cancer Driver Genes with Multiplex biomolecular Networks. Firstly, the sample-specific multiplex network, which contains protein-protein interaction layer and gene-gene association layer, was constructed based on gene expression data. Subsequently, somatic mutation data was integrated to weight the nodes in the sample-specific multiplex network. Finally, a weighted minimum vertex cover set identification algorithm was designed to find the optimal set of driver nodes, facilitating the identification of personalized cancer driver genes. Results The results derived from three TCGA cancer datasets indicate that PDGMN outperforms other existing methods in identifying personalized cancer driver genes, and it can effectively identify the rare driver genes in individual patients. Particularly, the experimental results indicate that PDGMN can capture the unique characteristics of different biomolecular networks to improve cancer driver gene identification. Conclusion PDGMN can effectively identify personalized cancer driver genes and broaden our understanding of cancer driver gene identification from a multiplex network perspective. The source code and datasets used in this work are available from https://github.com/NWPU-903PR/PDGMN.

Programmed cell death Receptor 1 (PD-1) is an inhibitory immune checkpoint that binds to programmed cell death ligand 1 (PD-L1) to regulate the immune response and maintain immune system homeostasis of the immune system. Through overexpression of PD-L1, tumor cells bind to PD-1 on the surface of immune cells, inhibiting the activity and function of immune cells, leading to immune escape of cancer cells and tumor progression. Gastrointestinal cancer is a common malignancy with a high mortality rate worldwide, and the effectiveness of current systematic treatment options is limited. In recent years, Immune checkpoint inhibitors (ICIs) such as PD-1/PD-L1 inhibitors have attracted much attention in cancer therapy. Immunotherapy has been incorporated into the treatment of some gastrointestinal malignancies. Different from traditional treatment, it uses various means to stimulate and enhance the immune function of the body to achieve the therapeutic purpose of controlling and eliminating tumor cells. However, although PD-1/PD-L1 inhibitors have shown potential in the treatment of gastrointestinal tumors, the efficacy of single inhibitor therapy is limited, which may be due to the ability of tumors to escape immune attack through other pathways after inhibitor treatment, or the presence of other immunosuppressive factors. For example, PD-1 and PD-L1 inhibitors can be combined with other immune checkpoint drugs, molecularly targeted drugs, or chemotherapy drugs to simultaneously act on different immune pathways and improve the comprehensive effect of immunotherapy. However, to achieve an effective combination therapy, we need to delve into the specific mechanisms of action of the PD-1/PD-L1 axis in the development and progression of gastrointestinal tumors, which can help to develop the best treatment strategy and provide individualized treatment options for the appropriate patient population. Therefore, future studies should focus on the regulatory mechanisms of the PD-1/PD-L1 axis and evaluate the therapeutic effects of different treatment combinations on gastrointestinal tumors. In this paper, we will review the research progress of PD-1/PD-L1 axis in tumorigenicity and its mechanism, and review the single and combined treatment strategies of PD-1 and PD-L1 inhibitors in gastrointestinal tumors.

Objective Spatial working memory (SWM) is an important function in cognitive behavior, and working memory impairment can seriously affect the patient's life and cause great stress to the patient. Intermittent theta burst stimulation (iTBS) has been shown to regulate working memory function by entrainment of neural oscillations in different frequencies of the brain, but its regulation of working memory-related neural oscillations and their synchronization is not clear. The purpose of this study was to study the effect of iTBS on neural oscillation and synchronization in local and transbrain regions of rats, and to explore the mechanism of iTBS in regulating working memory. Method Twenty-four rats were randomly divided into four groups according to their age and whether they received iTBS stimulation (AS: adult stimulation group, AC: adult control group, ES: elderly stimulation group, EC: elderly control group). Using the methods of time-frequency distribution, phase synchronization and phase-amplitude coupling analysis, the changes of local field potential signal neural oscillations in the prefrontal and hippocampal brain regions of theta and gamma bands in the process of spatial working memory behavioral tasks in each group of rats were compared and analyzed, and the relationship between the changes of neural oscillations in the two brain regions and the changes in spatial working memory ability of rats was judged based on the Pearson correlation coefficient. Results With the increase of age, the time taken by the elderly rats to learn the spatial working memory task rules increased significantly (p=0.0056), and the time taken by iTBS stimulation to learn the SWM task rules in adult rats (p=0.0011) and elderly rats (p=0.0090) was shortened. At the same time, compared with adult rats, the time-frequency energy of theta and gamma band neural oscillations in the prefrontal and hippocampal brain regions of elderly rats (theta: p<0.0001; gamma: p<0.0001) and phase-amplitude coupling across brain regions (PFC-HPC: p=0.0002; HPC-PFC: p=0.0277) decreased to a certain extent, and iTBS stimulation could increase the stimulation of adult rats (theta: p<0.0001; gamma: p<0.0001) and elderly rats (theta: p=0.0144; gamma: p=0.0006) and the time-frequency energy of neural oscillations and the phase-amplitude coupling effect across brain regions in elderly rats (PFC-HPC: p=0.0180; HPC-PFC: p=0.0221). In addition, the time-frequency energy and phase-amplitude coupling of signals in each frequency band of the two brain regions were positively correlated with the behavioral accuracy of rats, while the phase synchronization of theta band and gamma band neural oscillations in the two brain regions during working memory was not correlated with the behavioral accuracy. Conclusion iTBS can enhance SWM ability and cognitive function in elderly rats, and this improvement is associated with increased coupling of time-frequency energy and cross-brain phase amplitude of neural oscillations across theta and gamma bands during SWM tasks. Similarly, in adult rats, iTBS enhances SWM ability and cognitive function by increasing the time-frequency energy of theta and gamma band neural oscillations in both brain regions during SWM tasks. Furthermore, in addition to the main findings, this study provides evidence supporting the state-dependent effects of iTBS stimulation to some extent.

Aim: Karoshi, Death from overwork, has become a serious problem, while its identification standard is not clear owing to insufficient understanding of its mechanism. Methods: We established the karoshi model by subjecting SD rats to weight-bearing swimming combined with sleep deprivation. We performed proteomic and metabolomic analyses on cardiac tissue to investigate the changes in protein and metabolic pathways. Results: Functional modules related to mitochondrial oxidative phosphorylation, branched-chain amino acid metabolism, and lysosomal autophagy underwent remodeling, providing increased ATP production for the heart under overwork conditions. Additionally, peroxisomal metabolism and the pathway that ferriheme transferred from methemoglobin to hemopexin were found to be elevated, highlights the potential impact of oxidative stress and vascular dysfunction in the karoshi model. Moreover, the proteomic results suggest that metabolic reprogramming may occur at different stages of acute karoshi. Conclusion: The upregulation of pathways involved in mitochondrial oxidative phosphorylation, branched-chain amino acid metabolism, lysosomal autophagy, peroxisomal metabolism, and increased Conclusion: The heart increases ATP production through remodeling of mitochondrial oxidative phosphorylation, branched-chain amino acid breakdown, and lysosomal autophagy to meet the increased energy demand. The enhanced metabolism of peroxisomes and the shift of heme metabolism towards heme-binding proteins indicate potential oxidative stress and vascular dysfunction in cases of overwork. Additionally, metabolic reprogramming may occur in cases of acute overwork death, to provide efficient energy to the heart, alleviate oxidative stress and damage to cardiac cells. These findings provide important insights and evidence for further research into the prevention and treatment of overwork death.

Objective To simulate the microstructure and mechanical properties of tendon tissue and promote its regeneration and repair, electrospinning technology was used to prepare L-polylactic acid (PLLA) fiber membranes loaded with different nano zinc oxide contents and with oriented structures. Physical and chemical characterization and biological performance evaluation were carried out to explore their effects on tendon cell proliferation and differentiation . Method Preparation of PLLA fiber scaffolds and PLLA/ZnO fiber scaffolds containing different mass fractions of nano ZnO using electrospinning technology. The physicochemical properties of the scaffold were characterized by scanning electron microscopy, mechanical stretching, and EDS spectroscopy. The scaffold was co cultured with mouse tendon cells to detect its biocompatibility and regulatory effects on cell differentiation behavior. Results The fiber scaffolds were arranged in an oriented manner, and zinc elements were uniformly distributed in the fibers. The tensile strength and Young's modulus of PLLA/0.1% ZnO fiber scaffolds were significantly higher than those of the PLLA group. The number of cells on the surface of PLLA/0.1% ZnO fiber scaffold was significantly higher than that of PLLA group, and the activity was better; Mouse tendon cells exhibit directional adhesion and growth along the fiber arrangement direction. Conclusion The oriented PLLA/0.1% ZnO fiber scaffold had excellent physicochemical properties and could significantly promote the directional growth and proliferation differentiation of tendon cells. It is expected to be used for tendon tissue regeneration and repair in the future.

Objective DnaG primase in Mycobacterium tuberculosis (MtuDnaG) plays a vital role in DNA replication, making it a target for novel antituberculosis drug discovery. However, the mechanism of MtuDnaG priming is not fully understood, which hinders the screening of MtuDnaG inhibitors. In this work, the specific recognition sites (SRS) in ssDNA for MtuDnaG binding was investigated and the interactions between MtuDnaG and ssDNA template was discussed. Method By biochemical and biophysical ethods，the binding of the didomain of MtuDnaG (MtuP49, containing the zinc-binding domain and RNA polymerase domain) to ssDNA template with various trinucleotide sites was evaluated, the affinity of MtuP49 to ssDNA template was measured. Results The present study suggested the 5′-GCG/C-3′ as the potential SRS in ssDNA for specific binding to MtuDnaG. Besides, 5′-GCG/C-3′ sites were further identified within the oriC region of M. tuberculosis genome. Importantly, the 3′ sequence flanking the 5′-GCG/C-3′ site markedly affected the binding affinity of ssDNA to MtuP49. Mutagenesis studies showed that substitution of residue Arg31 in the zinc-binding domain affected the binding activity of MtuP49 to template ssDNA. Combined with the predicted structure of MtuP49, an intramolecular rearrangement of zinc-binding domain relative to the RNA polymerase domain was implied to be essential in the binding of MtuP49 to template ssDNA. Conclusion This study firstly identified the SRS in ssDNA for MtuDnaG binding, the key factors affecting MtuDnaG binding to ssDNA was revealed. The above results provide evidence to shed light on the mechanism of MtuDnaG priming, and pave the way for development of novel DnaG-targeted antituberculosis drugs.

Acute respiratory distress syndrome (ARDS) is severe respiratory failure in clinical practice, with a mortality rate as high as 40%. Injury of pulmonary endothelial cells and alveolar epithelial cells occurs during ARDS, and pulmonary endothelial injury results in endothelial barrier disruption, which usually occurs before epithelial injury. Especially, when harmful factors enter the blood, such as sepsis and hemorrhagic shock, the pulmonary endothelial cells are affected firstly. The injured endothelial cells may loss cell-to-cell connections and even die. After the endothelial barrier is disrupted, fluid and proteins cross the endothelial barrier, causing interstitial edema. The alveolar epithelium is more resistant to injury, and when the tight barrier of the epithelium is broken, fluids, proteins, neutrophils, and red blood cells in the interstitium enter the alveolar space. From this process, it is easy to find that the endothelium is the first barrier to prevent edema, therefore, the protection of the endothelium is the key to the prevention and treatment of ARDS. In addition, the injured endothelial cells express selectin and cell adhesion molecules, promoting the recruitment of immune cells, which exacerbate the inflammatory response and pulmonary endothelial cell injury. Mesenchymal stem cells (MSCs) can be derived from umbilical cord, bone marrow, adipose and so on. Because of low immunogenicity, MSCs can be used for allogeneic transplantation and have great application potential in tissue repairing. Through paracrine effect, MSCs can promote cell survival and balance inflammatory response. MSCs infused intravenously can locate in lungs rapidly and interact with endothelial cells directly, thus MSCs have advantages in protecting pulmonary microvascular endothelial cells. Animal experiments and clinical trials have found that MSC transplantation can significantly improve the symptoms of ARDS and reduce inflammatory reactions and endothelial permeability. Mechanically, MSCs acts mainly through paracrine and immunomodulatory effects. Paracrine cytokines from MSCs can not only promote pulmonary endothelial proliferation, but also reduce inflammatory response and promote cell survival to maintain endothelial integrity. In addition to paracrine cytokines, extracellular vesicles of MSCs are rich in RNAs, proteins and bioactive substances, which can protect pulmonary endothelial cells by intercellular communication and substance transport. Furthermore, MSCs may protect pulmonary endothelial cells indirectly by regulating immune cells, such as reducing the formation of extracellular trapping network of neutrophils, regulating macrophage polarization and regulating Th17/Treg cell balance. Although the beneficial effects of MSCs are verified, much work still needs to be done. MSCs from different tissues have their own characteristics and the scope of application. Different lung diseases possess different endothelial injury mechanisms. Thus, determining the indications of MSCs derived from different tissues is the direction of pulmonary disease clinical trials. From the perspective of transplantation route, intravenous injection of MSCs may have better clinical application in pulmonary endothelial injury caused by endogenous harmful factors in blood. Previous reviews mostly focused on the protective effects of MSCs on alveolar epithelium. In this article, we focused on endothelial cells and reviewed the direct protective effects and mechanisms of MSCs on endothelium through paracrine cytokines and extracellular vesicles, and summarize the mechanisms by which MSCs may indirectly protect pulmonary endothelial cells by regulating immune cells.

Objective: Exosomes are microvesicles could be secreted by all cell types with diameters between 30 and 150 nm. It was widely distributed in body fluids including blood, urine, and breast milk. Exosomes are considered as potential biomarkers and drug carriers by reason of containing nucleic acids, lipids, proteins and other bioactive molecules. Milk-derived exosomes have been widely used as drug delivery carriers to treat targeted diseases with a lower cost, higher biocompatibility and lower immunogenicity. Until now, there is no research about the milk-derived exosomes phosphorylation to reveal the difference of protein phospholation in different species milk. To investigate the pathways and proteins with specific functions, phosphorylated proteomic analysis of milk-derived exosomes from different species is performed, and provide new ideas for exploring diversified treatments of disease. Methods: Whey and exosomes derived from bovine, porcine and caprine milk were performed proteomics and phosphoproteomics analysis. The relationship between milk exosome proteins from different species and signaling pathways were analyzed using bioinformatics tools. Results: A total of 4191 global proteins, 1640 phosphoproteins and 4064 phosphosites were identified from three species of milk-derived exosomes, and the exosome proteins and phosphoproteins from different species were significantly higher than those of whey. Meanwhile, some special pathways were enriched like Fcγ-mediated phagocytosis from bovine exosomes, pathways related with neural and immune system from caprine exosomes, positive and negative regulation of multiple activities from porcine exosomes. Conclusion: In this study, the proteomic and phosphoproteomic analyses of exosomes and whey from bovine, porcine and caprine milk were carried out to reveal the difference of composition and related signaling pathways of milk exosome from different species. These results provided powerful support for the application of exosomes from different milk sources in the field of disease treatment.

Polygenic risk score (PRS) is an emerging genetic data analysis method. This method quantitatively assesses an individual"s genetic risk for complex diseases by comprehensively considering multiple genetic variation sites in an individual. This method has received widespread attention in the field of genetics, and its effectiveness has been further verified in clinical applications. PRS involves a large amount of genomic data analysis, but there are big differences in the methods for data selection, model building and validation. This review combines published PRS-related research and algorithms to describe the PRS models and its applications.

Objective In recent years, the negative impact of microgravity on astronauts' nervous systems has received widespread attention. The repetitive Transcranial Magnetic Stimulation (rTMS) technology has shown significant positive effects in the treatment of neurological and psychiatric disorders. The potential benefits of Combined Frequency Stimulation (CFS), which combines different frequency stimulation patterns, in ameliorating neurological dysfunctions induced by the microgravity environment, still require in-depth investigation. Exploring the therapeutic effects and electrophysiological mechanisms of CFS in improving various neurological disorders caused by microgravity holds significant importance for neuroscience and the clinical application of magnetic stimulation. Methods This study employed 40 C57BL/6 mice, randomly divided into five groups: the sham group, hindlimb unloading (HU) group, 10 Hz group, 20 Hz group, and Combined Frequency Stimulation (10 Hz + 20 Hz, CFS) group. Mice in all groups except the sham group received 14 days of simulated microgravity conditions along with 14 days of repetitive transcranial magnetic stimulation.The effects of Combined Frequency Stimulation on negative emotions and spatial cognitive abilities were assessed through sucrose preference tests and water maze experiments. Finally, patch-clamp techniques were used to record action potentials, resting membrane potentials, and ion channel dynamics of granule neurons in the hippocampal DG region. Results Compared to the single-frequency stimulation group, behavioral results indicated that the combined frequency stimulation (10 Hz + 20 Hz) significantly improved cognitive impairments and negative emotions in simulated microgravity mice. Electrophysiological experiments revealed a decrease in excitability of granule neurons in the hippocampal DG region after hindlimb unloading (HU) manipulation, whereas the combined frequency stimulation notably enhanced neuronal excitability and improved the dynamic characteristics of voltage-gated Na+ and K+ channels. Conclusion The repetitive transcranial magnetic stimulation with combined frequencies (10 Hz + 20 Hz) effectively ameliorates cognitive impairments and negative emotions in simulated microgravity mice. This improvement is likely attributed to the influence of combined frequency stimulation on neuronal excitability and the dynamic characteristics of Na+ and K+ channels. Consequently, this study holds the promise to provide a theoretical basis for alleviating cognitive and emotional disorders induced by microgravity environments.

Glucose-6-phosphate dehydrogenase (G6PD) is the first rate-limiting enzyme of the pentose phosphate pathway, which regulates the production of nicotinamide adenine dinucleotide phosphate (NADPH) in cells, and plays an important role in redox reactions. In addition, NADPH is necessary for biosynthesis reactions and is an essential hydrogen donor in the biosynthesis of cholesterol, fatty acids, and sex hormones. NADPH also plays an important role in maintaining intracellular redox homeostasis, converting intracellular oxidized glutathione into reduced glutathione (GSH), which is the main intracellular antioxidant. Therefore, G6PD plays an important role in maintaining intracellular redox homeostasis. Studies have shown that the decrease in G6PD activity can lead to a breakdown of the redox balance in the cells and tends to the oxidation state, which not only leads to dysregulation of cell growth and signaling, but also makes the host more susceptible to viruses. Previous studies have focused on the molecular characteristics of G6PD, anemia caused by G6PD deficiency, and the relationship between malignant tumors and G6PD. In recent years, more attentions have been paid to the importance of G6PD at the cellular level, development, and disease progression. To explore the effects of G6PD on viral life cycle, the relationship between G6PD and viral infections, including the clinical symptoms and virus-host interactions of hepatitis B virus (HBV), Human papilloma virus (HPV), hepatitis E virus (HEV), influenza virus and dengue fever virus (DENV) will be reviewed, which will benefit the antiviral drugs development. Many studies had proved that patients with deficient G6PD are more susceptible to HBV infection. It has been reported that HBV infection actives the glycolytic pathway, promotes pentose phosphate pathway, and accelerates citric acid cycle to enhance nucleotide and fat biosynthesis, thereby promoting viral replication. During HPV infection, miR-206 up-regulates the expression of G6PD to facilitate viral replication. Thus, G6PD may be a new target for anti-cervical cancer therapy. It was reported that patients with G6PD deficiency are more susceptible to HEV infection, and more serious HEV infection-associated diseases are developed. However, the mechanism of why and how the deficiency of G6PD affect HEV infection is still unclear. The oxidative stress caused by G6PD deficiency provides a suitable environment for influenza virus replication. Furthermore, patients with G6PD deficiency are more susceptible to SARS-CoV-2 infection and lead to more severe clinical symptoms with a higher risk of thrombosis and hemolysis than general population. There is a correlation between DENV infection and G6PD deficiency, which increase the risk of hemolysis, however, the pathogenesis is still unknown. The deficiency of G6PD promotes HCoV 229E infection, possibly because of the NF-κB signal pathway is suppressed when G6PD deficiency, which results in decreased innate antiviral immune, and increased susceptibility to HCoV 229E, finally leads to increased viral replication. Thus, the deficiency of G6PD play an important role during viruses’ infection, especially the susceptibility. More studies should be performed on the relicationship between G6PD deficiency and specific viral susceptibility, and more attentions shoud be paid to G6PD deficient patients, whcih will benefit the treatment of viral infection and the development of antiviral drugs.

Tumors represent one of the primary threats to human life, with the dissemination of malignant tumors being a leading cause of mortality among cancer patients. Early diagnosis of tumors can reliably predict their progression, significantly reducing mortality rates. Tumor markers, including circulating tumor cells, exosomes, proteins, circulating tumor DNA, microRNAs and so on, generated during the tumor development process, have emerged as effective approach for early tumor diagnosis. Several methods are currently employed to detect tumor markers, such as polymerase chain reaction, northern blotting, next-generation sequencing, flow cytometry, and enzyme-linked immunosorbent assay. However, these methods often suffer from time-consuming process, high costs, low sensitivity, and the requirement for specialized personnel. Therefore, a new rapid, sensitive, and specific tumor detection method is urgently needed. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) system, originating from the adaptive immune system of bacteria, has found extensive applications in gene editing and nucleic acid detection. Based on the structure and function of Cas proteins, the CRISPR/Cas system can be classified into two classes and six types. Class I systems consist of multiple Cas protein complexes, including types I, III, and IV, while Class II systems comprise single, multi-domain Cas proteins mediated by RNA, including types II (Cas9), V (Cas12), and VI (Cas13). Class II systems have been widely employed in the fields of biotechnology and nucleic acid diagnostics due to their efficient target binding and programmable RNA specificity. Currently, fluorescence method is the most common signal output technique in CRISPR/Cas-based biosensors. However, this method often requires the integration of signal amplification technologies to enhance sensitivity and involves expensive and complex fluorescence detectors. To enhance the detection performance of CRISPR/Cas-based biosensors, the integration of CRISPR/Cas with some alternative techniques can be considered. The CRISPR/Cas integrated electrochemical sensor (E-CRISPR) possesses advantages such as miniaturization, high sensitivity, high specificity, and fast response speed. E-CRISPR can convert the reactions between biomolecules and detection components into electrical signals, rendering the detection signals more easily readable and reducing the impact of background values. Therefore, E-CRISPR enhances the accuracy of detection results. E-CRISPR has been applied in various fields, including medical and health, environmental monitoring, and food safety. Furthermore, E-CRISPR holds tremendous potential for advancing the detection levels of tumor markers. Among all types of Cas enzymes, the three most widely applied are Cas9, Cas12, and Cas13, along with their respective subtypes. In this work, we provided a brief overview of the principles and characteristics of Class II CRISPR/Cas single-effector proteins. This paper focused on the various detection technologies based on E-CRISPR technique, including electrochemical impedance spectroscopy, voltammetry, photoelectrochemistry, and electrochemiluminescence. We also emphasized the applications of E-CRISPR in the field of tumor diagnosis, which mainly encompasses the detection of three typical tumor markers (ctDNA, miRNA, and proteins). Finally, we discussed the advantages and limitations of E-CRISPR, current challenges, and future development prospects. In summary, although E-CRISPR platform has made significant strides in tumor detection, certain challenges still need to be overcome for their widespread clinical application. Continuous optimization of the E-CRISPR platform holds the promise of achieving more accurate tumor subtyping diagnoses in clinical settings, which would be of significant importance for early patient diagnosis and prognosis assessment.

Overtraining is a condition characterized by various functional disorders or pathological states caused by continuous fatigue,which occurs after a persisting imbalance between training-related load and physical function and recovery.Generally speaking,it’s a state of imbalance between training and recovery,exercise and exercise performance,and stress and stress tolerance.Overtraining can cause various phenotypic changes or pathological remodeling,such as decreased skeletal muscle strength and exhaustive exercise endurance,skeletal muscle fatigue damage and dysfunction,skeletal muscle atrophy and loss, skeletal muscle glycogen depletion,skeletal muscle soreness and stiffness,skeletal muscle glucose intolerance,inattention,memory decline,anxiety,depression, abnormal emotions and behaviors,sleep disorders,cognitive function impairment,poor appetite,weight loss,liver/heart fat deposition,compensatory increase of liver/heart insulin signaling and glycogen storage,cardiac pathological hypertrophy,exercise-induced arrhythmias,myocardial fibrosis,ectopic and visceral fat deposition,increased risk of injury,etc.Unfortunately,its underlying mechanism is largely unclear.Recently,the enrichment of molecular and cellular signal pathway theory offers us a new explanatory paradigm for revealing its internal mechanisms.Based on the traditional explanation mechanisms and molecular and cellular signal pathway theory,we thoroughly analyzed the key mechanisms of health damage caused by overtraining from the perspective of oxidative stress,mitochondrial quality control disorder,inflammatory response,endoplasmic reticulum stress,cell apoptosis,and so forth.Specifically,overtraining-induced excessive reactive oxygen species(ROS) leads to serious oxidative stress damage in organisms at least via depressing Kelch like ECH associated protein 1(Keap1)/nuclear factor erythroid-2-related factor(Nrf2)/antioxidant response element(ARE) antioxidant pathway and activating p38 mitogen-activated protein kinase(p38MAPK) signaling pathway;Overtraining induces mitochondrial quality control disorder and mitochondrial dysfunction,and thus triggers health impairment through inhibiting mitochondrial biogenesis and fusion,stimulating mitochondrial fission,and over-activating autophagy/mitophagy;Overtraining can also produce muscle,skeletal and joint trauma,then circulating monocytes are abundantly activated by injury-related cytokines,and in turn generate large quantities of proinflammatory IL-1beta,IL-6, TNF-alpha,causing systemic inflammation and inflammatory health injury;Overtraining induces excessive pathological endoplasmic reticulum stress(ERS) and severe health damage via PERK-eIF2α,IRE1α-XBP1 and ATF6 pathways which activated by proinflammatory signals;Overtraining also induces excessive apoptosis and harmful health consequences via Bax/Bcl2-Caspase-3-mediated mitoptosis which activated by oxidative stress and inflammation or even CHOP and Caspase-12-dependent ERS apoptosis.Nonetheless,it should be importantly emphasized that oxidative stress and inflammation are the central and pre-emptive mechanisms of overtraining and its health damage.Although the efficient strategies for preventing and controlling overtraining are scientifically and reasonably arranging and planing training intensity,training volume,and recovery period,as well as accurately assessing and monitoring physical function status in the early stage,yet various anti-inflammatory,anti-oxidant,anti-apoptotic,or anti-aging drugs such as curcumin,astaxanthin,oligomeric proanthocyanidins,silibinin,hibiscus sabdariffa,dasatinib,quercetin, hydroxytyrosol,complex probiotics,astragalus polysaccharides,semaglutide and fasudil also have an irreplaceable positive effect on preventing overtraining and its relevant health damage via depressing oxidative stress,mitochondrial quality control disorder,proinflammatory signals,endoplasmic reticulum stress,apoptosis and so on.We hope that this review can help us further grasp the features, mechanisms and regularity of overtraining,and provide an important reference for athletes and sports fan to conduct scientific training,improve training effectiveness,extend exercise lifespan,and promote physical and mental health.

The main characteristics of neurodegenerative diseases represented by Alzheimer's disease (AD) and Parkinson's disease (PD) is the progressive irreversible loss of neurons, leading to varying degrees of pathological changes and loss of cognitive function. There is still no effective treatment. With the acceleration of global aging society, the incidence of neurodegenerative diseases is rapidly increasing, becoming a serious global public health concern that urgently requires the development of effective therapeutic strategies. The Hippo signaling pathway, a highly evolutionarily conserved pathway, consists of the core components MST1/2, LATS1/2, and downstream effectors, transcriptional co-activators YAP and TAZ. It plays a crucial role in the regulation of various biological processes such as cell proliferation, differentiation, development, and apoptosis. Dysregulation of the Hippo pathway contributes to the development of many diseases, including cancer, cardiovascular diseases, immune disorders, etc. Therefore, targeting the dysregulated components of the Hippo pathway may be an effective strategy for treating various diseases. Increasing evidence indicates that the Hippo pathway is excessively activated in the development of neurodegenerative diseases, manifested by increased expression of MST1 and downregulation of YAP. Stabilizing the Hippo pathway levels has shown improvements in AD and PD. However, most studies on the Hippo pathway in AD and PD focus on changes in the expression levels of Hippo pathway components, and research in other neurodegenerative diseases is still lacking. Therefore, further investigation is needed to fully understand the mechanistic role of the Hippo pathway in neurodegenerative diseases. Meanwhile, MiRNA, similarly dysregulated in neurodegenerative diseases and serving as biomarkers, is a primary target for miRNA therapy in neurodegenerative diseases, including AD and PD. Activating or inhibiting dysregulated miRNAs is the main strategy of miRNA therapy during the neurodegenerative diseases development. Evidence suggests that the interaction between the Hippo pathway and miRNA can result in widespread biological effects and crosstalk in the occurrence of different types of diseases. However, studies on the interplay between the Hippo pathway and miRNA in neurodegenerative diseases are relatively scarce. In this paper, we predicted the miRNAs related to Hippo pathway through bioinformatics database, and further screened the miRNAs with crosstalk relationship with Hippo signaling pathway through experiments in combination with PubMed. Then, the mechanism of action of Hippo signaling pathway related miRNAs in AD and PD is further elucidated. It is reported that the Hippo pathway and its related miRNA may exert neuroprotective effects by reducing oxidative stress, improving neuroinflammation, stabilizing autophagy levels, maintaining neuronal mitochondrial function, and ameliorating blood-brain barrier dysfunction, thereby delaying the progression of AD and PD. However, research on miRNA directly regulating the Hippo pathway to improve AD and PD is limited, and observations of the Hippo pathway and its related miRNA in other neurodegenerative diseases are scarce. However, considering the regulatory relationship between the Hippo pathway and miRNA in multiple diseases and their respective roles in key mechanisms of neurodegenerative diseases, such as oxidative stress and neuroinflammation, the crosstalk between miRNA and the Hippo pathway holds a crucial regulatory role in the development of neurodegenerative diseases. Thus, the interaction pathways of the Hippo pathway and its related miRNA may be a pivotal avenue for exploring effective therapeutic strategies for neurodegenerative diseases in the future.

Working memory is a core component of human cognitive functions, responsible for the temporary storage and manipulation of information, and plays a vital role in the execution of daily tasks. Working memory includes information encoding, maintenance, manipulation, and retrieval, with the underlying mechanisms corresponding to neural oscillations. The frequency bands most related to each step of working memory are theta (4~8 Hz), alpha (8-13 Hz), and gamma (>30 Hz) waves. Theta waves mainly correspond to the temporal organization of memory items; gamma waves are related to information maintenance; alpha waves indicate inhibition of irrelevant information. These neural oscillations can be regulated by external rhythmic stimulation, gradually synchronizing to the rhythm and phase of external stimulation. This phenomenon is called neural entrainment. Non-invasive brain stimulation (NIBS) can regulate working memory related neural oscillations through entrainment, and has the potential to become a method to enhance working memory performance. Another possible intervention approach to improve working memory is to enhance the excitability of key brain regions involved in working memory through NIBS. In this review, we reviewed more than 50 studies applying NIBS for working memory in healthy adults, including transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), and other NIBS techniques. In terms of research paradigm, working memory NIBS studies with healthy adults usually adopt classic working memory behavioral paradigms, e.g., N-back tasks with numbers or space positions, Sternberg tasks, relatively few stimulating sessions, mainly focus on the simultaneous or short-term effects on behavioral performance. For stimulation sites, the prefrontal cortex (especially dorsolateral prefrontal cortex, DLPFC) is the most commonly choice for its a vital role in functions such as information maintenance and cognitive resource allocation. The parietal lobe (especially the intraparietal sulcus, IPS) also plays an important role in information maintenance and manipulation, and is the second common stimulation site after DLPFC. Studies targeting the temporal lobe, occipital lobe, and motor cortex are relatively limited. For stimulation methods, TMS studies mainly use repetitive TMS (rTMS) and theta burst stimulation (TBS) with stimulating frequency in theta or gamma band, one-sided or bilateral prefrontal cortex as the stimulation site. The specific intervention effects may also depend on the phase of the neural oscillation that TMS targets. For tDCS studies, anodal stimulation of DLPFC or parietal lobe is widely utilized. The heterogeneous intervention effects such as relatively weak enhancement or impairment of working memory performance after intervention, may result from varied stimulation protocol or participants’ factors (e.g., small sample size, inconsistent baseline levels). For tACS studies, the most widely used stimulation frequencies are θ and γ bands, usually with in-phase manner, fixed or individualized frequencies. Enhancement of working memory performance has been reported for both settings, and the effects are also affected by stimulation parameters, task difficulty and baseline levels of participants. Transcranial random noise stimulation (tRNS), temporal interference stimulation (TIS), transcranial ultrasound stimulation (TUS) are emerging NIBS techniques, of which TIS and TUS can stimulate deep brain regions. Current studies modulating working memory based on these cutting-edge techniques are limited, but they have potential in mechanism exploration and clinical applications in working memory research.

Vitamin D is a unique fat-soluble vitamin that plays an indispensable role in human health. It exists in various forms, the most significant being Vitamin D2 (derived from plant sources) and Vitamin D3 (synthesized naturally in human skin upon exposure to sunlight). Vitamin D's primary function is to facilitate the absorption of calcium and phosphorus, which are crucial for maintaining healthy bones. Beyond its role in bone health, Vitamin D significantly influences the immune system, muscle function, cardiovascular health, and the regulation of brain functions. A deficiency in Vitamin D can lead to various chronic diseases such as rickets, osteoporosis, decreased immunity, increased risk of mental disorders, and cancers. The synthesis of Vitamin D in the human body, both peripherally and centrally, relies on sunlight exposure, dietary sources, and various supplements. As a neuroactive steroid, Vitamin D impacts both the physiological and pathological processes of the nervous system and plays a key role in brain health. It profoundly affects the brain by regulating neurotransmitter synthesis and maintaining intracellular calcium balance. As an essential chemical molecule, Vitamin D participates in complex signal transduction pathways, impacting neurotransmitter functions and synaptic plasticity. Vitamin D's role in regulating dopamine (DA)—a neurotransmitter critical for motivation, reward perception, and other higher cognitive functions—is particularly noteworthy. Recent studies have revealed that Vitamin D not only promotes the synthesis of DA but also plays a role in regulating DA levels within the brain. It exerts neuroprotective effects on DA neurons through anti-inflammatory, antioxidant actions, and neurotrophic support, thereby creating an optimal environment for DA neurons, influencing neuronal structure, and affecting the movement of calcium ions within nerve cells, positively impacting the overall health and functionality of the DA system. Furthermore, Vitamin D can regulate the synthesis and release of DA, thus affecting the signal transmission of various DA neural projection pathways in the brain. This function is vital for understanding the complex interactions between neural mechanisms and their effects on key behaviors and cognitive functions. This review aims to delve deeply into the synthesis, metabolism, and pathways of Vitamin D's action, especially its regulatory mechanisms on DA neurons. Through this exploration, this article seeks to provide a solid theoretical foundation and research framework for a deeper understanding of Vitamin D's role in motivation and reward behaviors. This understanding is crucial for appreciating the broader significance of Vitamin D in the fields of neuroscience and neurology. In summary, research and discoveries regarding Vitamin D's impact on the nervous system highlight its importance in neural health and function. These insights not only enhance our understanding of the complex workings of the nervous system but also open new avenues for the prevention and treatment of neurological diseases. The exploration of Vitamin D's multifaceted roles offers promising prospects for developing new therapeutic strategies, underscoring the compound's potential in addressing a range of neural dysfunctions and diseases. As research continues to evolve, the profound implications of Vitamin D in the field of neurology and beyond become increasingly apparent, marking it as a key target for ongoing and future scientific inquiry.

Objectives: Human Ku70 protein mainly involves the non-homologous end joining (NHEJ) repair of double-stranded DNA breaks (DSB) through its DNA-binding properties, and it is recently reported having an RNA-binding ability. This paper is to explore whether Ku70 has RNA helicase activity and affects miRNA maturation. Methods: RNAs bound to Ku protein were analyzed by RNA immunoprecipitation sequencing (RIP-seq) and bioinfomatic anaylsis. The expression relationship between Ku protein and miRNAs was verified by Western blot (WB) and quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) assays. Binding ability of Ku protein to the RNAs was tested by Biolayer interferometry (BLI) assay. RNA helicase activity of Ku protein was identified with EMSA assay. The effect of Ku70 regulated miR-124 on neuronal differentiation was performed by morphology analysis, WB and immunofluorescence assays with or without Zika virus (ZIKV) infection. Results: We revealed that the Ku70 protein had RNA helicase activity and affected microRNA maturation. Deficiency of Ku70 led to the up-regulation of a large number of mature miRNAs, especially neuronal specific microRNAs like miR-124. The knockdown of Ku70 promoted neuronal differentiation in human neural progenitor cells (hNPCs) and SH-SY5Y cells by boosting miR-124 maturation. Importantly, ZIKV infection reduced the expression of Ku70 whereas increased expression of miR-124 in hNPCs, and led to morphologically neuronal differentiation. Conclusion: Our study revealed a novel function of Ku70 that Ku70 could function as an RNA helicase and regulate microRNA maturation The reduced expression of Ku70 with ZIKV infection increased the expression of miR-124 and led to the premature differentiation of embryonic neural progenitor cells, which might be one of the causes of microcephaly.

Apolipoprotein E (apoE) is a critical molecule in lipid metabolism, which also plays important roles in the occurrence and development of several kinds of cancers by regulating processes including cell proliferation, energy metabolism, oxidative stress and innate immune, etc, and shows influence in patients’ response to treatment. Therefore, apoE has become a potential biomarker and treatment target for cancer. Further research of apoE will help us build deep and systematic understanding of etiology of cancer to promote the prevention and to develop new therapeutic strategies for cancer. In this review, we introduced the properties of apoE from the views of biophysics, biochemistry, molecular biology, evolution and epidemiology, in which part we demonstrated the similarities and differences among the structures of 3 subtypes of apoE; we also recapitulated the role of apoE in the genesis and development of cancers in main types of malignancies including gastric cancer, colorectal cancer, hepatobiliary cancer, melanoma, pancreatic cancer and etc; we summarized the relationship between apoE and the hallmarks of cancer, highlighting the position of apoE in immune system and its critical role for understanding the different nature of immunological background of cancers originated from different organs, and discussed its potential value for application as tumor biomarkers and therapeutic targets by demonstrating the structures of its subtypes,. We further discussed the possibility of transferring the drug designing strategy of “structure corrector” from neurology to oncology.

Bladder cancer is one of the most prevalent cancers worldwide, with a high rate of recurrence and mortality, which is the ninth most common malignancy globally. Cystoscopy remains the gold standard for clinical bladder cancer diagnosis, but its invasive nature can lead to bacterial infection and inflammation. Urine cytology is a non-invasive and simple diagnostic method, but it has lower sensitivity in detecting low-grade bladder cancer and may yield false negative results. Therefore, identifying ideal diagnostic and prognostic biomarkers is crucial for accurate in diagnosis and effective treatment of bladder cancer. Aptamers, characterized as single-stranded DNA or RNA with unique three-dimensional conformations, exhibit the ability to identify various targets, ranging from small molecules to tumor cells. Aptamers, also known as chemical antibodies, are generated by Systematic Evolution of Ligands by Exponential Enrichment (SELEX) process and can function similarly to traditional antibodies. They hold numerous advantages over antibodies, such as ease of modification, low immunogenicity, and rapid tissue penetration and cell internalization due to their nucleic acid molecule structure. Since their discovery in the 1990s, aptamers have been widely used in biochemical analysis, disease detection, new drug research and other fields and other fields. This article provides an overview of aptamer selection and characterization for bladder cancer, discussing the research advancements involving aptamers in diagnosing and therapying this disease. It covers aptamers obtained through different SELEX methods, including protein-SELEX, cell-SELEX, tissue-SELEX, and aptamers from other cancer SELEX; the detection in blood samples and urine samples; and application in targeted therapy and immunotherapy for bladder cancer. Currently, several aptamers capable of identifying bladder cancer have been generated, serving as molecular probes that have played a pivotal role in the early detection and treatment of bladder cancer. Bladder cancer perfusion therapy is well-suited for aptamer drug therapy because it does not require internal circulation, making it a suitable clinical indication for aptamer drug development. In addition, bladder cancer can be detected and monitored by collecting urine samples from patients, making it a preferred disease for clinical conversion of aptamers. While aptamers show promise, there is still much room for development compared with antibodies. There are still many clinically applied cancer biomarkers without corresponding aptamers, and more aptamers targeting different biomarkers should be selected and optimized to improve the sensitivity and accuracy for cancer detection and therapy. The field of aptamers urgently needs successful commercial products to promote its development, and home rapid detection / monitoring, imaging and targeted therapy of bladder cancer by infusion may be the breakthrough point for future application of aptamers.

Abstract Objective The present study aimed to identify a potential miRNA?mRNA axis in neurofibromatosis type 2 (NF2)-negative meningiomas, investigate their target relationships, and determine their biological functions. Methods The GSE17792 dataset, which contains data related to NF2-negative meningiomas, was downloaded from the Gene Expression Omnibus (GEO) database. The limma package of R software was used to determine the differentially expressed miRNAs (DeMiRNAs). The miRWalk 2.0 database was applied to obtain the target genes of the DeMiRNAs. The Search Tool for the Retrieval of Interacting Genes (STRING) database was utilized to build protein–protein interaction (PPI) networks, and hub genes were identified via Cytoscape software. The expression and biological roles of the screened miRNAs were further validated. Results Altogether, 86 DeMiRNAs, consisting of 52 upregulated and 34 downregulated miRNAs, were found in NF2-negative meningioma tumor samples compared with arachnoid tissue controls. Fourteen miRNAs associated with 274 target genes were identified among these DeMiRNAs, and miRNA?target gene networks were constructed based on these data. Analysis with cytoHubba showed that two miRNAs (hsa-miR-650 and hsa-miR-623) were among the top 20 key hub genes in the PPI network. Further qRT-PCR experimental verification suggested that the expression of hsa-miR-650 was significantly higher in NF2-negative meningiomas than in normal brain tissues. Downregulation of hsa-miR-650 inhibited the proliferation and induced the apoptosis of NF2-negative meningioma cells. Finally, RAC1 was identified as a target of hsa-miR-650. Conclusions Hsa-miR-650 acts as a tumor promoter and might function as a therapeutic target for patients with NF2-negative meningiomas. Key words Neurofibromatosis type 2 (NF2), Meningiomas, Hsa-miR-650, RAC1, Bioinformatics

People frequently struggle to juggle their work, family, and social life in today's fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain's functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models.The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body's immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases. In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. This was difficult to achieve by conventional drugs. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

At present, the grading evaluation of patients with disorders of consciousness (DOC) is still a focus and difficulty in related fields. Electroencephalogram (EEG) can directly read and continuously reflect scalp electrical activity generated by brain tissue structure, with high temporal resolution. Auditory stimulation is easy to operate and has broad application prospects in clinical detection of DOC. The causal network can intuitively reflect the direction of information transmission through the causal relationship between time series, helping us better understand the information interaction between different regions of the brain of patients. This paper combines EEG and causal networks to explore the differences in brain functional connectivity between patients with unresponsive arousal syndrome (VS) and those with minimum state of consciousness (MCS) under auditory stimulation. Method A total of 23 DOC patients were included, including 11 MCS patients and 12 VS patients. Based on the Oddball paradigm, auditory naming stimulation was performed on DOC patients and EEG signals of DOC patients were synchronously collected. The brain functional networks were constructed using multivariate Granger causality method, and the differences in node degree, clustering coefficient, global efficiency, and causal flow of the brain networks between MCS patients and VS patients were calculated. The differences in network characteristics of patients with different levels of consciousness under auditory stimulation were compared from the perspective of cooperation between brain regions. Result The causal connectivity between most brain regions in MCS patients was stronger than that in VS patients, and MCS patients had more brain network connectivity edges than VS patients. The average degree (P<0.05), average clustering coefficient, and global efficiency (P<0.05) of MCS patients under naming stimulation were higher than those of VS patients. The difference in out-degree between each node of VS patients was larger, and the difference in in-degree between each node of MCS patients was smaller. The difference in in-degree of MCS patients was more significant than that of VS patients, and the inflow and outflow of information in the brain functional network of MCS patients were stronger than those of VS patients. MCS and VS patients had differences of causal flow in the frontal and temporal lobes, the direction of information transmission in the parietal lobe and central region was not the same, and MCS patients had more electrodes as causal sources than VS patients. Conclusion The information transmission ability of MCS patients is stronger than that of VS patients under auditory naming stimulation. Compared with VS patients, MCS patients have an increase in the number of electrode channels as the causal source, an increase in information output to other brain regions, and also an increase in the information output within brain regions, which may indicate a better state of consciousness in patients. MCS patients have more electrode channels for information output in the frontal lobe than VS patients, and the number of electrode channels for changing the direction of information transmission in the frontal lobe is the highest. The frontal lobe is closely related to the level of consciousness in patients with consciousness disorders. This study can provide a theoretical basis for the grading evaluation of consciousness levels in DOC patients.

Objective Temporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. Method Raman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease"s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. Results Our findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. Conclusion This research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.

Osteoporosis leads to an imbalance in bone remodelling, where bone resorption is greater than bone formation and osteoclast degradation increases, resulting in severe bone loss. Autophagy is a lysosomal degradation pathway that regulates the proliferation, differentiation, and apoptosis of various osteoblasts (including osteoblasts, osteoclasts, and osteoclasts), and is deeply involved in the bone remodelling process. In recent years, the role of autophagy in the progression of osteoporosis and related bone metabolic diseases has received more and more attention, and it has become a research hotspot in this field. Summarising the existing studies, it is found that senile osteoporosis is the result of a combination of factors. On the one hand, it is the imbalance of bone remodelling and the increase of bone resorption/bone formation ratio with ageing, which causes progressive bone loss; on the other hand, aging leads to a general decrease in the level of autophagy, a decrease in the activity of osteoblasts and osteoclasts, and an inhibition of osteogenic differentiation; the lack of oestrogen leads to the immune system being in a low activation state, and the Antioxidant capacity is weakened and inflammatory response is increased, inducing autophagy-related proteins to participate in the transmission of inflammatory signals, excessive accumulation of ROS in the skeleton, and negatively regulating bone formation; in addition, with aging and the occurrence of related diseases, glucocorticoid treatments also mediate autophagy in bone tissue cells, contributing to the decline in bone strength. Exercise, as an effective means of combating osteoporosis, improves bone biomechanical properties and increases bone density. It has been found that exercise induces oxidative stress, energy imbalance, protein defolding and increased intracellular calcium ions in the organism, which in turn activates autophagy. In bone, exercise of different intensities activates messengers such as ROS, PI3K, and AMP. These messengers signal downstream cascades, which in turn induce autophagy to restore dynamic homeostasis in vivo. During exercise, increased production of AMP, PI3K, and ROS activate their downstream effectors, AMPK, Akt, and p38MAPK, respectively, and these molecules in turn lead to activation of the autophagy pathway. activation of AMPK inhibits mTOR activity and phosphorylates ULK1 at different sites, inducing autophagy to occur. aMPK and p38 up-regulate per-PGC-1α activity and activate transcription factors in the nucleus, resulting in increased autophagy and lysosomal genes. Together, they activate FoxOs, whose transcriptional activity controls cellular processes including autophagy and can act on autophagy key proteins, while FoxOs proteins are expressed in osteoblasts. Exercise also regulates the expression of mTORC1, FoxO1, and PGC-1 through the PI3K/Akt signalling pathway, which ultimately plays a role in the differentiation and proliferation of osteoblasts and regulates bone metabolism. In addition, BMPs signalling pathway and long chain non-coding RNAs also play a role in the proliferation and differentiation of osteoblasts and autophagy process under exercise stimulation. Therefore, exercise may become a new molecular regulatory mechanism to improve osteoporosis through the bone autophagy pathway, but the specific mechanism needs to be further investigated. How exercise affects bone autophagy and thus prevents and treats bone-related diseases will become a future research hotspot in the fields of biology, sports medicine and sports science, and it is believed that future studies will further reveal its mechanism and provide new theoretical basis and ideas.

Osteoarthritis (OA) is a group of total joint diseases characterized by mild inflammatory reactions and degenerative changes within the joint, involving hyaline cartilage, subchondral bone, ligaments, joint cavities, synovium, and surrounding muscles, ultimately leading to structural changes in the joint. Its pathogenesis is related to mechanical, inflammatory, and metabolic factors. The current methods for treating OA are difficult to take effect in a short period of time and require long-term treatment, resulting in poor medical compliance; Some can only provide temporary relief, and some may even increase the risk of developing cardiovascular and gastrointestinal diseases. Studies have shown that mitochondrial dysfunction plays an important role in the progression of OA, and many studies have shown that improving mitochondrial function is a potential treatment method for OA. Reversing mitochondrial dysfunction through drugs not only enhances the vitality of OA chondrocytes in vitro, but also alleviates the progression of OA in vivo experiments. Therefore, we believe that treating OA with mitochondrial dysfunction is an effective new approach compared to traditional treatment methods. We summarize the research progress on mitochondria and OA in the past 15 years, with the aim of developing new treatment strategies for the research field of osteoarthritis.

Ion concentration polarization (ICP) is an electrical transport phenomenon that occurs at the micro-nano interface under the action of an applied electric field, and the ICP phenomenon can be used to enrich charged particles with high efficiency. The microfluidic chip has the advantages of high precision, high efficiency, easy integration and miniaturization in biochemical analysis, which provides a new solution and technical way for biochemical analysis. In response to the demand for the detection of trace charged target analytes in sample solution, the advantages of high enrichment multiplicity, convenient operation and easy integration of ICP are utilized to provide an effective way for microfluidic biochemical detection. The combination of ICP phenomenon and microfluidic analysis technology has been widely used in the fields of pre-enrichment of charged particles, separation of targets, and detection of target analytes in biochemical analysis. In this paper, the principle of ICP and the microfluidic ICP chip are briefly introduced. Under the action of external electric field, the co-ions pass through the ion-selective nanochannel, and the counterions are rejected at the boundary of the nanochannel to form a depletion zone, and the charged samples will be enriched at the boundary of the depletion zone. Then the preparation techniques and methods of ICP chips are summarized. Among them, the design of microfluidic channel structure and the preparation and design of nanostructures are emphasized. The basic single-channel structure is analyzed, and the parallel-channel structure as well as the integrated multi-functional microfluidic ICP chip are sorted out and summarized. The preparation methods of nanostructures in ICP chips and their respective advantages and disadvantages are listed, and it is summarized that the current mainstream means are the embedding method and the self-assembly method, and attention is paid to the design of nanostructures preparation methods by both of them. In addition, this paper also discusses how to optimize the enrichment efficiency of ICP chip, through the introduction of multi-field coupling, valve control and other means to achieve the optimization of the enrichment efficiency of target substances. Meanwhile, this paper provides a classified overview of the progress of the application of ICP chips in biochemical analysis and detection. ICP chips have been widely used in the research and development of biosensors, which can be used for the enrichment and separation of a variety of analytes including small molecules, nucleic acids, proteins, and cells, etc. By changing the design of microfluidic structures, integrating detection methods and modifying specific antibodies, ICP chips have shown great potential in the fields of rapid enrichment and pre-processing of targets, separation of targets and highly sensitive detection. Finally, it is pointed out that ICP chips are facing challenges in improving enrichment efficiency and selectivity, and solving the problems of fluid control, mixing and transport to match the biological properties of the target assay, and that microfluidic ICP chips have been continuously promoting the development of ICP chips through the improvement of materials, chip design and integration of multifunctional units, opening up new possibilities in the field of biochemical analysis methods and applications. It can be seen that microfluidic ICP chips have the advantages of low sample flow rate, good separation and enrichment, high detection efficiency, and easy integration and miniaturization, which have shown good research significance and practical prospects in the field of biochemical detection.

The sample delivery method is one of the key steps in implementing serial femtosecond crystallography research using X-ray free-electron lasers. Serial femtosecond crystallography can effectively capture the ultrafast dynamic processes of biological molecules, such as protein conformational changes and intermediate states in chemical reactions. It is of great significance for scientists to better understand the structure and function of biological molecules, reveal the mechanisms of life activities, and provide important technical means for drug development and biotechnology. When conducting experiments at X-ray free-electron laser beamline station, it is crucial to transport the samples to the region where it interacts with the free-electron laser pulses. The choice of suitable sample delivery methods plays a decisive role in the sample consumption and experimental efficiency, and it is also an important factor for the success or failure of the experiment. This article reviews the latest research progress and future development directions of sample delivery methods in serial crystallography. It also introduces commonly used sample delivery methods and their applicable ranges, aiming to provide reference and guidance for scientists engaged in serial crystallography research. The sample transport methods of free electron lasers mainly include liquid injection and fixed target sample transport. The liquid injection method is achieved through various liquid sample injectors. The aqueous solution is driven by a peristaltic pump on high performance liquid chromatography (HPLC) into a sample storage, and the aqueous solution pushes the piston in the sample storage to extrude the sample solution into the sample transport pipeline, and finally sprays it out through the nozzle to reach the XFEL interaction region. For micro-nano crystals, three preparation methods are introduced, including free interface diffusion method, seeding method, and batch crystallization, and characterization methods are also introduced. For the requirements of high sample transmission efficiency and low sample consumption, a gas-based liquid flow transport method is introduced, which is based on the principle of focusing the sample jet by coaxial gas to form a jet with a small diameter and fast flow rate. At the same time, the extended double flow focusing nozzle and mixed injection nozzle are briefly described. For samples in viscous media, a high viscosity liquid injection device is introduced, and the advantages and disadvantages of different media are explained and exemplified. In addition, the principle and example of electrostatic spinning injector and piezoelectric driven droplet injection technology applied to low-velocity serial crystallography experiments are also introduced. For the above liquid injection methods, a characterization method using a coaxial microscope or side-view microscope to measure the diameter and stable length of the liquid flow is introduced. Compared with the liquid injection method, the fixed target method is to fix the crystal on a support chip with a periodic array structure, and collect data through scanning. The working principle, sample environment, support materials, etc. of the fixed target method are briefly introduced in the article. With the advancement and development of technologies such as free electron lasers and detectors, various sampling methods for serial crystallography are constantly being innovated and optimized. By selecting appropriate sample delivery methods, it will be possible to improve experimental efficiency, reduce sample consumption, and open up new possibilities for researchers in the field of structural biology of biomacromolecules.

At present, the incidence of overweight and obesity has reached epidemic levels worldwide, which call a challenge to the prevention and control of chronic metabolic diseases. Because obesity is a major risk factor for a range of metabolic diseases, including type 2 diabetes (T2D), non-alcoholic fatty liver disease (NAFLD), cardiovascular and neurodegenerative diseases, sleep apnea, and some types of cancer. However, the drugs remain limited. Therefore, there is an urgent need to develop effective long-term treatments to address obesity-related complications. Fibroblast growth factor 1 (FGF1) is an important regulator of systemic energy homeostasis, glycolipid metabolism and insulin sensitivity. FGF1 is a non-glycosylated polypeptide consisting of 155 amino acids, consisting of 12 inverted parallel β chains with amino and carboxyl terminus, and n-terminus extending freely without the typical secretory signaling sequence, closely related to its own biological activity. Thus, FGF1 mutants or derivatives with different activities can be designed by substitution or splicing modification at the n-terminal. FGF1 plays an irreplaceable role in the development, deposition and function of fat. High-fat diet can regulate available FGF1 through two independent mechanisms of nutritional perception and mechanical perception, and influence the function of fat cells. FGF1 controls blood glucose through peripheral and central effects, enhances insulin sensitivity, improves insulin resistance, and plays a role in diabetic complications, which is expected to become a new target for the treatment of T2DM in the future. FGF1 may be involved in the regulation of NAFLD from mild steatosis to severe non-alcoholic steatohepatitis. FGF1 is closely related to the occurrence and development of a variety of cancers, improve the efficacy of anti-cancer drugs, and play a direct and indirect anti-cancer role. In addition, FGF1 plays an important role in the occurrence and development of the cardiovascular system and the improvement of cardiovascular diseases such as ischemia/reperfusion injury, myocardial infarction, pathological cardiac remodeling, cardiotoxicity. Therefore, FGF1 shows a number of therapeutic benefits in the treatment of obesity and obesity-related complications. But because FGF1 has strong mitotic activity and long-term use has been associated with an increased risk of tumorigenesis, its use in vivo has been limited and enthusiasm for developing it to treat obesity-related complications has been dampened. However, FGF1 was found to induce cell proliferation primarily through FGFR3 and FGFR4, but its metabolic activity was mainly mediated by FGFR1. That is, FGF1 activity that promotes mitosis and anti-obesity-related complications appears to be separable. Currently, many engineered FGF1 variants have been developed, such as FGF1ΔHBS、MT-FGF1ΔHBS、FGF1?NT、?nFGF1、FGF1R50E. Although the effect of FGF1 or its analogues on obesity-related complications has been demonstrated in many rodent studies, there are no relevant clinical results. This may be due to the unknown safety and therapeutic efficacy of FGF1 in large animals and humans, as well as concerns about tumorigenesis that hinder its development into a lifelong therapeutic agent. This review summarizes recent advances in the development of FGF1-based biologic drugs for the treatment of obesity-related complications, highlights major challenges in clinical implementation, and discusses possible strategies to overcome these obstacles.

Depression is a prevalent mental illness worldwide, its multifaceted pathogenesis is still in the exploratory stage. MicroRNA (miRNA), as a crucial epigenetic regulator, plays an important role in depression. miR-124 is one of the most abundant miRNAs in the central nervous system including neurons and microglia, and involved in various biological events like neuron development and differentiation, synaptic and axonal growth, neural plasticity, inflammation and autophagy. Recent studies have reported abnormal expression of miR-124 in both depression patients and animal models. Most of the studies showed that miR-124 is upregulated in the hippocampus or prefrontal cortex in stress-induced rodent depression animal models such as CUMS, CSDS, CORT, CRS and LH but some evidence for divergence. Upregulation of miR-124 expression may be involved in depression-like behavior via CREB/BDNF/TrkB pathway, GR pathway, SIRT1 pathway, apoptosis and autophagy pathways by directly targeting these genes including creb, bdnf, sirt1, Nr3c1, Ezh2 and stat3. The downregulation of miR-124 expression in neurons is mainly involved in the neurogenesis and neuroplasticity impairments in depression by targeting the Notch signaling pathway and DDIT4/TSC1/2/mTORC1 pathway. The downregulation of miR-124 expression also was found in the activated microglia in the stress-induced models, and resulted in neuroinflammation. In summary, the abnormal expression of miR-124 in the brain of depression-related models and its related mechanisms are complex and even contradictory, and still need further research. This review provides a summary of the research progress of miR-124 in depression.

Developmental dyslexia (DD) is a prevalent learning disorder, and the KIAA0319 gene is a DD-associated gene, potentially affecting reading ability by influencing brain development. This review provides an overview of the impact of the DD-associated KIAA0319 gene on brain development in fish, non-primate mammals, primate mammals, and humans. In studies involving fish, the kiaa0319 gene was found to be expressed in the brain, eyes and ears of zebrafish. In mammalian studies, abnormal Kiaa0319 gene expression affected neuronal migration direction and final position, as well as dendritic morphology during embryonic development in rats, leading to abnormal white and gray matter development. Knocking down the Kiaa0319 gene impaired the primary auditory cortex in rats, resulting in phoneme processing impairment similar to DD. In mice, Kiaa0319 overexpression affected the neuronal migration process, causing delayed radial migration of neurons to the cortical plate. Knockout of the Kiaa0319 gene led to abnormal development of the gray matter in mice, resulting in reduced volume of the medial geniculate nucleus and then impacting auditory processing. In primate studies, research on marmosets found that KIAA0319 gene is expressed in the visual, auditory, and motor pathways, while studies on chimpanzees revealed that KIAA0319 gene abnormalities primarily affected the gray matter volume and microstructure of the posterior superior temporal gyrus, morphology of the superior temporal sulcus and gray matter volume of the inferior frontal gyrus. The impact of the KIAA0319 gene on human brain development is mainly concentrated in the left temporal lobe, where abnormal KIAA0319 gene expression caused reduced gray matter in the left inferior temporal gyrus, middle temporal gyrus and fusiform gyrus, as well as reduced white matter volume in the left temporoparietal cortex. Abnormalities in Kiaa0319 gene also led to decreased hemispheric asymmetry in the superior temporal sulcus. The above-mentioned brain regions are crucial for language and reading processing. It is analyzed that the abnormalities in the DD-associated KIAA0319 gene affect neuronal migration and morphology during brain development, resulting in abnormal development of subcortical structures (such as the medial geniculate nucleus and lateral geniculate nucleus) and cortical structures (including the left temporal cortex, temporoparietal cortex and fusiform gyrus) which are involved in human visual and auditory processing as well as language processing. Impairment of the medial geniculate nucleus affects the information transmission to the auditory cortex, leading to impaired phoneme processing. Abnormalities in the magnocellular layers within the lateral geniculate nucleus hinder the normal transmission of visual information to the visual cortex, affecting the dorsal visual pathway. The left temporal lobe is closely related to language and reading, and abnormalities in its gray matter and connections with other brain areas can affect the language and word processing. In summary, abnormalities in the KIAA0319 gene can partly explain current research findings on the cognitive and neural mechanisms of DD, providing a genetic basis for theoretical models related to DD (such as general sensorimotor theory and the magnocellular theory). However, the mechanism of developmental dyslexia is complex, and there are mutual influences between different DD-associated genes and between genes and the environment, which require further exploration.

Preterm infants, born before 37 weeks of gestation, represent a significant portion of newborns globally, many of whom experiencing long-term neurodevelopmental disorders. Language development anomalies are common among preterm infants, often leading to deficits in vocabulary, grammar, phonetics, and semantics, which can persist into adolescence and adulthood. Given these complexities, these developmental challenges necessitate a deeper understanding of the influencing factors and the importance of early intervention. Biological factors such as the degree of prematurity, birth weight, and gender significantly impact language development. Specifically, shorter gestational age and lower birth weight are associated with language difficulties, manifesting in restricted vocabulary, syntax, and grammatical complexity. In addition, the severity of neonatal illnesses, including intracranial hemorrhage, hypoxic-ischemic encephalopathy, and bronchopulmonary dysplasia, critically impact cognitive and language development. Equally important, sensory systems, particularly vision and hearing, are also crucial for language acquisition; for example, retinopathy of prematurity (ROP) may increase the risk of language disorders. Environmental factors also play a vital role in language development of preterm infants. The environment within neonatal intensive care units (NICU), while important for the survival of preterm infants, can inadvertently impose sensory challenges, thereby influencing neurodevelopmental outcomes, including language skills. Beyond the NICU environment, the domestic setting and familial interactions emerge as crucial determinants. Variables such as the parental educational background and socioeconomic status substantially influence the extent and quality of language exposure, thus shaping the linguistic development of preterm infants. Addressing these challenges requires comprehensive early intervention strategies. This includes deploying a range of early evaluation tools, encompassing standardized language development scales and observational techniques, to promptly identify infants at risk of language delays. Recent advances in non-invasive brain imaging techniques, such as event-related potentials and functional MRI, have opened new horizons in early detection and intervention planning, providing critical insights into the neurodevelopmental status of these infants. Intervention strategies are diverse and integrate physiological and neurological approaches, environmental modifications, and family-centric practices. Physiologically, addressing sensory impairments and nutritional needs is fundamental to fostering robust language development. This involves interventions like sensory stimulation therapies and nutritional supplements rich in essential brain-development nutrients. Additionally, environmental optimization, particularly in NICU settings, to replicate the protective conditions of the womb is crucial for enhancing language learning. Strategies include controlled auditory and visual stimulation and implementing developmental care models. Furthermore, family involvement is equally important. Encouraging active parental engagement and fostering language-enriched interactions are crucial. Notably, innovative approaches such as music therapy have shown promise in enhancing auditory processing and language skills. These interventions use the infant brain's neuroplasticity, combining auditory stimulation with social interaction, thereby enriching the developmental environment for preterm infants. In summary, the language development in preterm infants is shaped by an intricate interplay of biological and environmental factors, requiring a multifaceted and early intervention approach. As our understanding evolves, the integration of medical, educational, and social services will be critical in providing holistic support for the healthy development of these infants. Future research efforts should aim to elucidate the underlying mechanisms of language development in preterm infants and to refine intervention strategies to ensure more effective long-term outcomes.

Ferroptosis is a novel type of iron-dependent cell death driven by lipid peroxidation. More and more evidence shows that ferroptosis is related to various pathological conditions, such as neurodegenerative diseases, diabetic nephropathy, and cancer. Ferroptosis driven by lipid peroxidation may promote or inhibit the occurrence and development of these diseases. The intracellular antioxidant system plays an important role in resisting ferroptosis by inhibiting lipid peroxidation. The key pathways of ferroptosis include the amino acid metabolism pathway with SLC7A11-GPX4 as the key molecule, the iron metabolism pathway with ferritin or transferrin as the main component, and the lipid metabolism pathway. The occurrence of ferroptosis is regulated by intracellular proteins, which undergo various post-translational modifications, including ubiquitination. The ubiquitin-proteasome system (UPS) is one of the main degradation systems in cells. It catalyzes the ubiquitin molecule to label the protein which degraded by enzymatic cascade reactions, and then the proteasome recognizes and degrades the target protein. UPS promotes ferroptosis by promoting the degradation of key ferroptosis molecules (such as SLC7A11, GPX4, and GSH) and antioxidant systems (such as NRF2). UPS can also inhibit ferroptosis by promoting the degradation of related molecules in the lipid metabolism pathway (such as ACLS4 and ALOX15). In this review, we summarize the latest research progress of ubiquitination modification in the regulation of ferroptosis, generalize the published studies on the regulation of ferroptosis by E3 ubiquitin ligase and deubiquitination, and sum up the targets of ubiquitin ligase and deubiquitination regulating ferroptosis, which is helpful to identify new prognostic indicators in human diseases and provide potential therapeutic strategies for these diseases.

Osteoarthritis (OA) is a chronic degenerative joint disease and the most common type of arthritis. It involves almost any joint and can lead to chronic pain and disability. In the late 19th century, Roentgen discovered X-rays, and then began to use radiotherapy to treat tumors. In the 1980s, Luckey thought that low-level radiation (LDRT) might be beneficial to biology, and it was gradually applied to the treatment of some diseases. This paper introduces the OA of the epidemiology, risk factors, clinical manifestations and treatment methods, points out that the cartilage injury and the important effect of synovial inflammation in the pathogenesis of OA, namely when the homeostasis of articular cartilage are destroyed, synthetic metabolism and catabolism imbalances, cartilage cells damaged their breakdown products consumed by synovial cells, Synovial cells and synovial macrophages secrete proinflammatory cytokines, metalloproteinases and proteolytic enzymes, leading to cartilage matrix degradation and chondrocyte damage, which aggravates synovial inflammation and cartilage damage, forming a vicious cycle. The possible mechanism and clinical research progress of LDRT in alleviating OA are discussed. LDRT can regulate inflammatory response, inhibit the production of pro-inflammatory cytokines, and promote the production of anti-inflammatory cytokines, thereby achieving anti-inflammatory effect. Studies have shown that after irradiation, the expression of inducible nitric oxide synthase (iNOS) was decreased, the release of reactive oxygen species (ROS) and the production of superoxide were inhibited, the anti-inflammatory phenotype of macrophages was differentiated from M1 to M2, the inflammatory CD8+ T cells were transformed into CD4+ T cells, and the number of dendritic cells (DC) was significantly reduced. Inhibit the production of proinflammatory factors in leukocytes, reduce their recruitment and adhesion, and down-regulate the expression levels of cell adhesion molecules such as selectin, intercellular adhesion molecule (ICAM) and vascular endothelial cell adhesion molecule (VCAM). LDRT can regulate endothelial cells, stimulate endothelial cells to produce a large amount of TGF-β1, reduce the adhesion of endothelial cells to peripheral blood mononuclear cells (PBMC), and contribute to the anti-inflammatory effect of LDRT. It also exerted anti-inflammatory effects by regulating mitochondrial growth differentiation factor 15 (GDF15). Cartilage cells after irradiation the matrix metalloproteinases to 13 (MMP - 13) and platelet response protein solution of integrin metal peptidase 5 (ADAMTS5) expression is reduced, Ⅱ increase the expression of type collagen (Col2a1). In the existing clinical studies, most patients can achieve relief of joint pain and recovery of joint mobility after irradiation, and the patients have good feedback on the efficacy. The adverse reactions (acute reactions and carcinogenic risks) caused by LDRT in the treatment of OA are also discussed. During the treatment of OA, a few patients have symptoms such as redness, dryness or itching at the joint skin, and the symptoms are mild and do not require further treatment. Patients are thus able to tolerate more frequent and longer doses of radiotherapy. In general, LDRT itself has the advantages of non-invasive, less adverse reactions, and shows the effect of pain relief and movement improvement in the treatment of OA. Therefore, LDRT has a broad application prospect in the treatment of OA.

In recent years, obesity has emerged as a significant risk factor jeopardizing human health and stands out as an urgent issue demanding attention from the global public health sector. The factors influencing obesity are intricate, making it challenging to comprehensively elucidate its causes. Recent studies indicate that food reward significantly contributes to the genesis and progression of obesity. Food reward comprises three integral components: hedonic value (liking), eating motivation (wanting), and learning and memory. Each facet is governed by the corresponding neural pathway. The mesocorticolimbic system (MS) plays a pivotal role in regulating food reward, wherein the MS encompasses dopamine (DA) neurons originating from the ventral tegmental area (VTA) projecting into various brain regions or nuclei such as the nucleus accumbens (NAc), prefrontal cortex (PFC), amygdala, and hippocampus. On one hand, prolonged consumption of palatable foods induces adaptive alterations and synaptic remodeling in neural circuits regulating food reward. This includes the attenuation of neuronal connections and signal transmission among the PFC, visual cortex, hypothalamus, midbrain, and brain stem, resulting in aberrant food reward and compelling the body to compensate for satisfaction deficiency by increasing food consumption. Studies involving humans and animals reveal that compulsive eating bears resemblance to the behavior observed in individuals with substance addictions, encompassing aspects such as food cravings, loss of eating control, and dieting failures. Propelled by food reward, individuals often opt for their preferred palatable foods during meals, potentially leading to excessive energy intake. Coupled with a sedentary lifestyle, this surplus energy is stored in the body, transforming into fat and culminating in obesity. While evidence supports the notion that prolonged exposure to a high-energy-density diet contributes to abnormal food reward, the internal mechanisms remain somewhat unclear. In previous research on depression, substance abuse, and alcohol dependence, it has been confirmed that there is a close connection between inflammation and reward. For example, obese people show a higher tendency toward depression, and white blood cell count is an important mediating variable between intake and depressive symptoms. In addition, it has been found in individuals with alcohol dependence and drug abuse that long-term opioid overdose or alcohol abuse will activate glial cells to release pro-inflammatory cytokines that affect neuronal function, and disrupt synaptic transmission of neurotransmitters to promote addictive behaviors. Comprehensive analysis suggests that inflammation may play an important role in the reward regulation process. Recent studies indicate that metaflammation within the central or peripheral system, triggered by excess nutrients and energy, can disrupt the normal transmission of reward signals. This disruption affects various elements, such as DA signaling (synthesis, release, reuptake, receptor function, and expression), mu opioid receptor function, glutamate excitatory synaptic transmission, toll-like receptor 4（TLR4）signal activation, and central insulin/leptin receptor signal transduction. Consequently, this disruption induces food reward dysfunction, thereby fostering the onset and progression of obesity. Building upon these findings, we hypothesized that obesity may be linked to abnormal food reward induced by metaflammation. This review aims to delve deeply into the intricate relationship between obesity, food reward, and metaflammation. Additionally, it seeks to summarize the potential mechanisms through which metaflammation induces food reward dysfunction, offering novel insights and a theoretical foundation for preventing and treating obesity.

Objective Sorafenib is a first-line only drug approved for the treatment of advanced hepatocellular carcinoma (HCC). Resistance to sorafenib means that treatment outcomes are often unsatisfactory. Although the mechanism underlying sorafenib resistance remains unclear, resistance may occur through Akt signaling pathway activation in HCC. Dihydrotanshinone (DHT), a lipophilic component of traditional Chinese medicine Salvia miltiorrhiza Bunge, has multiple anti-tumor activities and inhibits Akt activation. The effect and mechanism of DHT combined with sorafenib on HCC have not been investigated. In this study, we investigate whether DHT potentiates the anti-cancer activities of sorafenib against HCC. Methods In this study, the effects of sorafenib and DHT on the viability, apoptosis and drug sensitivity of huh7 and hepG2 cells were verified by Cell Counting Kit-8 (CCK-8) and flow cytometry. AKT, P-AKT, Caspase3, GSK3β, P-GSK3β, S6K, P-S6K, Cyclin D1, Bcl-xl, Bcl-2, and Bax expression levels were analyzed via western blotting. All data were statistically compared using one-way analysis of variance (ANOVA) and Dunnett test. Statistical analysis using SPSS 20.0 statistical software. Results DHT inhibit proliferation and promote apoptosis in HCC cells by reducing Akt activation. DHT inhibits the expression and activation of Akt downstream factors, including glycogen synthase kinase-3β and ribosomal protein S6 kinase, which regulate the apoptotic response and are activated and upregulated by sorafenib treatment. Both sorafenib and DHT downregulate cyclin D1 expression and DHT upregulates Bax expression and downregulates Bcl-2 and Bcl-xl expression. However, sorafenib had little influence on Bcl-2 family protein expression. Conclusions DHT may enhance the inhibition of sorafenib induced proliferation and induction of apoptosis in HCC cells by inhibiting the activation of Akt signaling pathway. Thus enhancing the anticancer effect of sorafenib.

Glioblastoma, one of the most common malignant tumors in the central nervous system (CNS), is characterized by diffuse and invasive growth as well as resistance to various combination therapies. Glioblastoma (GBM) is the most prevalent type with the highest degree of malignancy and the worst prognosis. While current clinical treatments include surgical resection, radiotherapy, temozolomide chemotherapy, novel molecular targeted therapy, and immunotherapy, the median survival time of GBM patients is only about one year. Radiotherapy is one of the important treatment modalities for GBM, which relies on ionizing radiation to eradicate tumor cells. Approximately 60% to 70% of patients need to receive radiotherapy as postoperative radiotherapy or neoadjuvant radiotherapy during the treatment process. However, during radiotherapy, the radioresistant effect caused by DNA repair activation and cell apoptosis inhibition impedes the therapeutic effect of malignant glioblastoma. Ferroptosis was first proposed by Dr. Brent R. Stockwell in 2012. It is an iron-dependent mode of cell death induced by excessive lipid peroxidation. Although the application of ferroptosis in tumor therapy is still in the exploratory stage, it provides a completely new idea for tumor therapy as a novel form of cell death. Ferroptosis has played a significant role in the treatment of glioblastoma. Specifically, research has revealed the key processes of ferroptosis occurrence, including intracellular iron accumulation, reactive oxygen species (ROS) generation, lipid peroxidation, and a decrease in the activity of the antioxidant system. Among them, glutathione peroxidase4（GPX4）in the cytoplasm and mitochondria, ferroptosis suppressor protein 1（FSP1）on the plasma membrane, and dihydroorotate dehydrogenase （DHODH）in the mitochondria constitute an antioxidant protection system against ferroptosis. In iron metabolism, nuclear receptor coactivator 4（NCOA4）can mediate ferritin autophagy to regulate intracellular iron balance based on intracellular iron content. Heme Oxygenase1（HMOX1）catalyzes heme degradation to release iron and regulate ferroptosis. Radiation can trigger ferroptosis by generating ROS, inhibiting the signaling axis of the antioxidant system, depleting glutathione, upregulating acyl-CoA synthase long chain family member 4 (ACSL4), and inducing autophagy. Interestingly, some articles has documented that exposure to low doses of radiation (6 Gy for 24 hours or 8 Gy for 4-12 hours) can induce the expression of SLC7A11 and GPX4 in breast cancer and lung cancer cells, leading to radiation resistance, while radiation-induced ferroptosis occurs after 48 hours. In contrast, high doses of ionizing radiation (20 Gy and 50 Gy) increase lipid peroxidation after 24 hours. This suggests that radiation-induced oxidative stress is a double-edged sword that can regulate ferroptosis in both directions, and the ultimate fate of cells after radiation exposure - developing resistance and achieving homeostasis or undergoing ferroptosis - depends on the degree and duration of membrane lipid damage caused by the radiation dose. In addition, it enhances radiation sensitivity by the following routes : iron overload, destruction of the antioxidant system, and mitochondrial dysfunction. By promoting the occurrence of ferroptosis in tumor cells as a strategy to improve radiotherapy sensitivity, we can enhance the killing effect of ionizing radiation on tumor cells, thus providing more treatment options for patients with glioblastoma. In this paper, we reviewed ferroptosis and its mechanism, analyzed the molecular mechanism of radiation-induced ferroptosis, and discussed the effective strategies to regulate ferroptosis in enhancing the sensitivity of radiotherapy, with a view to providing an important reference value for improving the current status of glioblastoma treatment.

Tumors continue to be a major challenge in human survival that we have yet to overcome. Despite the variety of treatment options available, we have not yet found an effective method. As more and more research is conducted, attention has been turned to a new field for tumor treatment - the Tumor Microenvironment (TME). This is a dynamic and complex environment consisting of various matrix cells surrounding cancer cells, including surrounding immune cells, blood vessels, extracellular matrix, fibroblasts, bone marrow-derived inflammatory cells, signaling molecules, and some specific cell types. Firstly, endothelial cells play a key role in tumor development and the immune system’s protection of tumor cells. Secondly, immune cells, such as macrophages, Treg cells, Th17 cells, etc., are widely involved in various immune responses and activities in the human body, such as inflammation responses promoting survival carefully orchestrated by the tumor. Even though many studies have extensively researched the TME and found many research schemes, so far, no key effective method has been found to treat tumors by affecting the TME. The TME is a key interaction area between the host immune system and the tumor. Cells within the TME influence each other and interact with cancer cells to affect cancer cell invasion, tumor growth, and metastasis. This is a new direction for cancer treatment. In the complex environment of the TME, post-translational modifications (PTMs) of proteins have been proven to play an important role in the TME. PTMs are dynamic, strictly regulated changes to proteins that control their function by regulating their structure, spatial location, and interaction. Among PTMs, a reversible post-translational modification called SUMOylation is a common regulatory mechanism in cellular processes. It is a post-translational modification that targets lysine residues with a small ubiquitin-like modifier (SUMO) in a reversible post-translational modification manner. SUMOylation is widely involved in carcinogenesis, DNA damage response, cancer cell proliferation, metastasis, and apoptosis, playing a pivotal role in the TME, such as DNA damage repair, tumor metastasis, and also participates in immune cell differentiation, activation, and inhibition of immune cells. On the other hand, SUMO or SENP inhibitors can interfere with the SUMOylation process, thereby affecting many biological processes, including immune response, carcinogenesis, cell cycle progression, and cell apoptosis, etc. In summary, this review aims to study the dynamic modification of protein SUMOylation on various immune cells and the application of various inhibitors, thereby exploring its role in the TME. This is a challenging but hopeful field, and we look forward to future research that can bring more breakthroughs. In conclusion, the TME is a complex and dynamic environment that plays a crucial role in the development and progression of tumors. Understanding the intricate interactions within the TME and the role of PTMs, particularly SUMOylation, could provide valuable insights into the mechanisms of tumor development and potentially lead to the development of novel therapeutic strategies. The study of SUMOylation and its effects on various immune cells in the TME is an exciting and promising area of research that could significantly advance our understanding of tumor biology and potentially lead to the development of more effective treatments for cancer. This is a challenging but hopeful field, and we look forward to future research that can bring more breakthroughs.

The clock gene Rev-erbα, also known as nuclear receptor subfamily 1 group D member 1 (Nr1d1), is a crucial regulatory factor in organisms. It exhibits circadian rhythmic expression in metabolically active tissues such as skeletal muscles, heart, liver, and adipose tissue, responding to various environmental stimuli. Rev-erbα plays a significant role in regulating circadian rhythms, metabolic homeostasis, and other physiological processes, earning its designation as an "integrator" of the circadian system and metabolism. Rev-erbα establishes complex connections with other clock genes through the transcriptional-translational feedback loop (TTFL) , which is important for the rhythmic output of the biological clock system and for the relative stability of phases and cycles. Mitochondrial biogenesis is a physiological process initiated by cells to maintain energy homeostasis by using existing mitochondria as a template for self-growth and division. As the "energy factory" of the organism, disruptions in mitochondrial biogenesis are closely associated with the development of various diseases. Studies have shown that not only the factors involved in mitochondrial biogenesis have circadian oscillations, but also the morphology, dynamics and energy metabolism of mitochondria themselves have cyclic fluctuations throughout the day, suggesting that mitochondrial biogenesis is regulated by the biological clock system, in which the clock gene Rev-erbα plays a key role, it drives mitochondrial biogenesis and synergistically regulates autophagy to normalize a number of physiological processes in the body. Rev-erbα is sensitive to both internal and external environmental changes, and disruptions in circadian rhythms, metabolic diseases, and aging are significant inducers of changes in Rev-erbα expression, and its concomitant inflammation and oxidative stress may be an intrinsic mechanism for inhibiting mitochondrial biogenesis. Therefore, the enhancement of mitochondrial biogenesis by regulating the Rev-erbα activity status may be an important way to improve the pathology and promote the health of the organism. Exercise, as a commonly accepted non-pharmacological tool, plays an important role in enhancing mitochondrial biogenesis and promoting health. It has been found that there is a close relationship between exercise and Rev-erbα. On the one hand, exercise stimulation directly affects the expression of Rev-erbα, especially high-intensity and long-term regular exercise; on the other hand, Rev-erbα achieves indirect regulation of exercise capacity by mediating processes such as skeletal muscle mitochondrial biogenesis and autophagy, muscle mass maintenance, energy metabolism and skeletal muscle regeneration. Based on the above findings, it is hypothesized that Rev-erbα may serve as a key bridge between exercise and mitochondrial biogenesis. Exercise enhances the transcriptional response of Rev-erbα in the nucleus, upregulates the expression of Rev-erbα protein in cytoplasm, activates the AMPK（AMP-activated proteinkinase）/SIRT1（silent information regulator1）/PGC-1α（peroxisome proliferator-activated receptor γ coactivator-1α）pathway, regulates Ca2+ flux and downstream signaling molecules; meanwhile, exercise can upregulate antioxidant gene expression and alleviate oxidative stress through Rev-erbα, which ultimately enhances the function of mitochondria, and promotes mitochondrial biogenesis. In conclusion, the clock gene Rev-erbα emerges as a crucial target for exercise-induced enhancement of mitochondrial biogenesis. In this paper, the biological characteristics of Rev-erbα, the role of Rev-erbα in regulating mitochondrial biogenesis and the factors that may influence it, the interaction between exercise and Rev-erbα, and the potential mechanism of exercise-induced mitochondrial biogenesis via Rev-erbα are sorted out and discussed, which can provide theoretical references to the mechanism of exercise-promoted mitochondrial biogenesis.

Single molecule fluorescence in situ hybridization（smFISH） is a method for imaging single mRNA molecule in fixed cell or tissue using oligonucleotide probes coupled with fluorophores. It can realize real-time study of interested transcripts by RNA localization and quantification. smFISH is widely suitable for many types of biological samples such as cell and tissue sections. It was invented in 1982 which opened up the application of visualizing single molecules. However, due to its shortcomings such as poor binding specificity, Raj optimized this technique in 2008, using 48 independent probes that were separately coupled with fluorophores to locate transcripts. In contrast, method using multiple labeled probes can distinguish false positive or false negative results due to a single probe misbinding or unbinding event. However, with the continuous application of the technique, it was found that the scheme still has many technical defects, such as low probe specificity, weak fluorescence intensity, low hybridization efficiency, and high background fluorescence. Since then, a series of derivative technologies have been invented. For example, HCR-FISH is a multi-fluorescence in situ hybridization method based on orthogonal amplification and hybridization chain reaction, which significantly improves the problem of weak signal before. SeqFISH amplifies the signal and reduces nonspecific binding by continuously hybridizing the mRNA in the cell, imaging it, and stripping the probe in order to barcode RNA. MERFISH utilizes combination labeling, continuous imaging and other technologies to increase detection throughput, and uses binary barcodes to offset single-molecule labeling and detection errors, with more advanced built-in error correction functions to effectively improve the accuracy of results. ClampFISH uses biological orthogonal click chemistry to effectively lock the probe around the target and prevent the probe from disengaging in amplification microscopy. RNAscope amplifies its own signal while simultaneously suppressing the background by using novel probe design strategy and hybridization-based signal amplification system. Split-FISH uses splitting probes for signal enhancement to accurately detect single RNA molecule in complex tissue environments. AmpFISH achieves imaging of short RNA molecules by preparing long single-strand DNA concatemers through controlled rolling circle amplification. CircFISH uses two unique sets of probes: PC probes and PL probes to distinguish between linear and circular RNAs. π-FISH rainbow enables simultaneous detection of DNA, RNA, and proteins at the single-molecule level with π-FISH target probes. HT-smFISH is more suitable for large or high throughput form of systematic experiments. With the development of technology, the subsequent data analysis process is particularly important. Different analysis software, such as dotdotdot and FISH-quant v2, also improve the process of smFISH. The excellent ability of smFISH to visualize single molecule of RNA makes that it is widely used in basic biological disciplines such as tumor biology, developmental biology, neurobiology, botany, virology. In this paper, we reviewed the basic principle of smFISH technology, its development process and improvement. Limitations of smFISH technology and how to avoid them. Its derivative technologies include HCR-FISH, SeqFISH, MERFISH, ClampFISH, RNAscope, Split-FISH, AmpFISH, CircFISH, π-FISH rainbow and HT-smFISH. The application progress of smFISH in different biological disciplines, such as developmental biology, tumor biology, neurobiology. Finally, the development prospect of smFISH technology is prospected.

Acute myeloid leukemia (AML) is a malignant clonal disease of hematopoietic stem cells, characterized by the proliferation of abnormal primordial cells of myeloid origin in bone marrow, blood and other tissues. At present, there are mainly standard induction therapy for AML, that is, anthracycline combined with cytarabine , allogeneic hematopoietic stem cell transplantation (Allo-HSCT) and targeted drug therapy. However, AML cells usually express high levels of P-glycoprotein, which mediates the efflux of chemotherapeutic drugs, which makes AML cells resistant to chemotherapy, resulting in many patients who are not sensitive to chemotherapy or relapse after complete remission. And some patients can not tolerate intensive therapy or lack of donors and can not use Allo-HSCT therapy. Therefore, it is of great clinical significance to find new drugs to improve the efficacy of AML patients. Epigenetic disorders play a key role in the pathogenesis of many diseases, especially cancer. Studies have shown that most AML patients have epigenetic regulatory gene mutations, such as DNMT3A, IDH and TET2, and these mutations are potentially reversible, which has become one of the therapeutic targets of AML. Histone deacetylase inhibitors (HDACi) can regulate the balance between histone acetylation and deacetylation, change the expression of proto-oncogenes or tumor suppressor genes that control cancer progression from epigenetics, and play an important role in many kinds of tumor therapy. At present, HDACi has shown the ability to induce differentiation, cell cycle arrest and apoptosis of AML cells. The mechanism may be mainly related to HDACi inducing chromatin conformation opening of tumor suppressor gene by inhibiting HDAC activity, promoting oncogene damage and preventing oncogene fusion protein from recruiting HDAC. Although the preclinical outcome of HDACi is promising, it is not as effective as the conventional therapy of AML. However, the combination strategy with various anticancer drugs is in clinical trials, showing significant anti-AML activity, improving efficacy through key targeting pathways in a typical synergistic or additive way, increasing AML sensitivity to chemotherapy, reducing tumor growth and metastasis potential, inhibiting cell mitotic activity, inducing cell apoptosis, regulating bone marrow microenvironment, which provides a good choice for the treatment of AML. Especially for those AML patients who are not suitable for intensive therapy and drug resistance to chemotherapy. This review introduces the relationship between HDAC and cancer; the Classification of HDAC and its function in AML; the correlation between HDAC and AML; the clinical application of five types of HDACi; preclinical research results and clinical application progress of six kinds of HDACi in AML, such as Vrinota, berilastat, parbital, entenolate and cedarbamide；The mechanism of HDACi combined with other anticancer drugs in AML indicates that the current HDACi is mainly aimed at various subtypes of pan-HDAC inhibitors, with obvious side effects, such as fatigue, thrombocytopenia, nausea, vomiting, diarrhea. In recent years, the next generation of HDACi is mainly focused on the selectivity of analogues or isomers. Finding the best combination of HDACi and other drugs and the best timing of administration to balance the efficacy and adverse reactions is a major challenge in the treatment of AML, and the continued development of selective HDACi with less side effects and more accurate location is the key point for the development of this drug in the future. It is expected to provide reference for clinical treatment of AML.