Abstract: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 disease 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.

Abstract: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 (MAO)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 catalytic active site (CAS) and peripheral anionic site (PAS) sites of acetylcholinesterase (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.

Abstract: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.

Abstract:There are huge differences between tumor cells and normal cells in material metabolism, and tumor cells mainly show increased anabolism, decreased catabolism, and imbalance in substance metabolism. These differences provide the necessary material basis for the growth and reproduction of tumor cells, and also provide important targets for the treatment of tumors. Ferroptosis is an iron-dependent form of cell death characterized by an imbalance of iron-dependent lipid peroxidation and lipid membrane antioxidant systems in cells, resulting in excessive accumulation of lipid peroxide, causing damage to lipid membrane structure and loss of function, and ultimately cell death. The regulation of ferroptosis involves a variety of metabolic pathways, including glucose metabolism, lipid metabolism, amino acid metabolism, nucleotide metabolism and iron metabolism. In order for tumor cells to grow rapidly, their metabolic needs are more vigorous than those of normal cells. Tumor cells are metabolically reprogrammed to meet their rapidly proliferating material and energy needs. Metabolic reprogramming is mainly manifested in glycolysis and enhancement of pentose phosphate pathway, enhanced glutamine metabolism, increased nucleic acid synthesis, and iron metabolism tends to retain more intracellular iron. Metabolic reprogramming is accompanied by the production of reactive oxygen species and the activation of the antioxidant system. The state of high oxidative stress makes tumor cells more susceptible to redox imbalances, causing intracellular lipid peroxidation, which ultimately leads to ferroptosis. Therefore, in-depth study of the molecular mechanism and metabolic basis of ferroptosis is conducive to the development of new therapies to induce ferroptosis in cancer treatment. Ferroptosis, as a regulated form of cell death, can induce ferroptosis in tumor cells by pharmacologically or genetically targeting the metabolism of substances in tumor cells, which has great potential value in tumor treatment. This article summarizes the effects of cellular metabolism on ferroptosis in order to find new targets for tumor treatment and provide new ideas for clinical treatment.

Abstract: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 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, 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.

Abstract: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 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. This article provides an overview of aptamer selection and characterization for bladder cancer, discussing the research advancements involving aptamers in diagnosing and treating 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:The pathogenesis of osteoarthritis (OA) is related to a variety of factors such as mechanical overload, metabolic dysfunction, aging, etc., and is a group of total joint diseases characterized by intra-articular chondrocyte apoptosis, cartilage fibrillations, synovial inflammation, and osteophyte formation. At present, the treatment methods for osteoarthritis include glucosamine, non-steroidal anti-inflammatory drugs, intra-articular injection of sodium hyaluronate, etc., which are difficult to take effect in a short period of time and require long-term treatment, so the patients struggle to adhere to doctor’s advice. Some methods can only provide temporary relief without chondrocyte protection, and some even increase the risk of cardiovascular disease and gastrointestinal disease. In the advanced stages of OA, patients often have to undergo joint replacement surgery due to pain and joint dysfunction. Mitochondrial dysfunction plays an important role in the development of OA. It is possible to improve mitochondrial biogenesis, quality control, autophagy balance, and oxidative stress levels, thereby exerting a protective effect on chondrocytes in OA. Therefore, compared to traditional treatments, improving mitochondrial function may be a potential treatment for OA. Here, we collected relevant literature on mitochondrial research in OA in recent years, summarized the potential pathogenic factors that affect the development of OA through mitochondrial pathways, and elaborated on relevant treatment methods, in order to provide new diagnostic and therapeutic ideas for the research field of osteoarthritis.

Abstract: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 bone cells (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 reactive oxygen species (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. 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 signaling 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.

Abstract: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. Achieving this using conventional drugs was difficult. 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.

Abstract: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, the counterions are rejected at the boundary of 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 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 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.

Abstract: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 method 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, 3 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.

Abstract: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.

Abstract: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 5 groups: 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 d of simulated microgravity conditions along with 14 d of repetitive transcranial magnetic stimulation. The effects of CFS 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 dentate gyrus (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 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.

Abstract:Objective This 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 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.Conclusion Hsa-miR-650 acts as a tumor promoter and might function as a therapeutic target for patients with NF2-negative meningiomas.

Abstract:Objective Exosomes are microvesicles which 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 phosphorylation in different species of 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 for 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 4 191 global proteins, 1 640 phosphoproteins and 4 064 phosphosites were identified from 3 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.

Abstract: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. Thus, the development of a multiplex network method is imperative in order to integrate the interactions of different biomolecular networks and facilitate the identification of cancer driver genes.Methods A multiplex network control method called Personalized cancer Driver Genes with Multiplex biomolecular Networks (PDGMN) was proposed. 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 at https://github.com/NWPU-903PR/PDGMN.