BACKGROUND:Various proteins,signaling pathways,and inflammatory mediators are involved in the pathophysiological process of osteoarthritis.The development of small molecule drugs targeting these proteins,signaling pathways,and inflammatory mediators can effectively delay the progression of osteoarthritis and ameliorate its clinical manifestations. OBJECTIVE:To review the research progress of small molecule drugs in the treatment of osteoarthritis based on the pathogenesis of osteoarthritis. METHODS:PubMed,CNKI,and WanFang databases were searched with English search terms"osteoarthritis,arthritis,osteoarthrosis,degenerative,arthritides,deformans,small molecule drugs,small molecule inhibitors,small molecule agents"and Chinese search terms"osteoarthritis,small molecule drugs,small molecule inhibitors."A total of 68 articles were included for review according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)Currently,studies concerning the pathogenesis of osteoarthritis remain unclear.The occurrence and development of osteoarthritis are strongly associated with proteins,cytokines,and signal transduction pathways,so its therapeutic mechanism is relatively complex.Currently,targeting proteins,cytokines,and signal transduction pathways related to osteoarthritis with small molecule drugs has become a major research focus.(2)Small molecule drugs frequently possess visible intracellular or extracellular targets and efficacy,containing enhancing cartilage repair,resisting joint degradation,attenuating inflammation,and relieving pain.Other anti-osteoarthritis small molecule drugs have shown promise in promoting stem cell chondrogenic differentiation and cartilage matrix reconstruction.(3)At present,small molecule drugs targeting the pathophysiological process of osteoarthritis to delay the progression of osteoarthritis are still in the experimental stage,but most of these small molecule drugs have shown the expected results in the experimental process,and there are no relevant studies to illustrate the efficacy of small molecule drugs in the treatment of osteoarthritis.(4)Small molecule drugs for the treatment of osteoarthritis have reached the expected experimental results in the basic experimental stage.Numerous studies have exhibited that small molecule drugs can target the suppression of specific proteins,cytokines,and signal transduction pathways that cause osteoarthritis,so as to treat osteoarthritis.Nevertheless,its safety and effectiveness still need to be identified by further basic and clinical studies.This process needs to be investigated and studied by more scholars.(5)At present,many scholars in and outside China have made contributions to the treatment of osteoarthritis.Compared with traditional treatment methods,small molecule drugs reveal better efficacy and safety in the basic experimental stage,and it is expected to become an emerging method for the treatment of osteoarthritis in the future to rid patients of pain.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a common chronic liver disease with the pathological feature of lipid accumulation in the liver， and it is closely associated with liver metabolic disorders. The latest research has shown that the pathogenesis of MAFLD is associated with the abnormal expression of specific genes， especially the fat mass and obesity-associated （FTO） gene. The abnormal activity of the FTO gene may lead to an imbalance in liver lipid metabolism， which manifests as the increase in fatty acid synthesis and the reduction in fatty acid oxidation， thereby promoting liver fat deposition and inflammatory response. Therefore， regulating the expression or activity of the FTO gene is considered one of the potential strategies for the treatment of MAFLD. At present， drug research targeting the function of the FTO gene has achieved preliminary results， and inhibition of the activity of the FTO gene can help to regulate liver lipid metabolism and alleviate liver inflammatory injury. This article reviews the mechanism of action of the FTO gene in the development and progression of MAFLD， summarizes the advances in drug research on the FTO gene and related metabolic pathways in recent years， and analyzes their application prospect in research and treatment.

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

Attention is the cornerstone of effective functioning in a complex and information-rich world. While the neural activity of attention has been extensively studied in the cortex, the brain-wide neural activity patterns are largely unknown. In this study, we conducted a comprehensive analysis of neural activity across the mouse brain during attentional processing using EEG and c-Fos staining, utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the c-Fos activation patterns. Our findings reveal that a wide range of brain regions are activated, notably in the high-order cortex, thalamus, and brain stem regions involved in advanced cognition and arousal regulation, with the central lateral nucleus of the thalamus as a strong hub, suggesting the crucial role of the thalamus in attention control. These results provide valuable insights into the neural network mechanisms underlying attention, offering a foundation for formulating functional hypotheses and conducting circuit-level testing.
Animals ; Attention/physiology* ; Mice ; Brain/physiology* ; Male ; Electroencephalography ; Reaction Time/physiology* ; Brain Mapping ; Mice, Inbred C57BL ; Choice Behavior/physiology* ; Proto-Oncogene Proteins c-fos/metabolism*

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Predicting protein mutation effects is a key challenge in bioinformatics and protein engineering. Recent advancements in deep learning, particularly the development of protein language models (PLMs), have brought new opportunities to this field. This review summarizes the application of PLMs in predicting protein mutation effects, focusing on three main types of models: sequence-based models, structure-based models, and models that combine sequence and structural information. We analyze in detail the principles, advantages, and limitations of these models and discuss the application of unsupervised and supervised learning in model training. Furthermore, this paper discusses the main challenges currently faced, including the acquisition of high-quality datasets and the handling of data noise. Finally, we look ahead to future research directions, including the application prospects of emerging technologies such as multimodal fusion and few-shot learning. This review aims to provide researchers with a comprehensive perspective to further advance the prediction of protein mutation effects.
Mutation ; Proteins/chemistry* ; Computational Biology/methods* ; Deep Learning ; Protein Engineering

Objective:Rejection remains the most important factor limiting the survival of transplanted kidneys.Although a pathological biopsy of the transplanted kidney is the gold standard for diagnosing rejection,its limitations prevent it from being used as a routine monitoring method.Recently,peripheral blood lymphocyte subpopulation testing has become an important means of assessing the body's immune system,however,its application value and strategy in the field of kidney transplantation need further exploration.Additionally,the development and utilization of routine test parameters are also important methods for exploring diagnostic strategies and predictive models for kidney transplant diseases.This study aims to explore the correlation between peripheral blood lymphocyte subpopulations and T cell-mediated rejection(TCMR)and antibody-mediated rejection(ABMR),as well as their diagnostic value,in conjunction with routine blood tests. Methods:A total of 154 kidney transplant recipients,who met the inclusion and exclusion criteria and were treated at the Second Xiangya Hospital of Central South University from January to December,2021,were selected as the study subjects.They were assigned into a stable group,a TCMR group,and an ABMR group,based on the occurrence and type of rejection.The basic and clinical data of these recipients were retrospectively analyzed and compared among the 3 groups.The transplant kidney function,routine blood tests,and peripheral blood lymphocyte subpopulation data of the TCMR group and the ABMR group before rejection treatment were compared with those of the stable group. Results:The stable,TCMR group,and ABMR group showed no statistically significant differences in immunosuppressive maintenance regimens or sources of transplanted kidneys(all P>0.05).However,the post-transplant duration was significantly longer in the ABMR group compared with the stable group(P<0.001)and the TCMR group(P<0.05).Regarding kidney function,serum creatinine levels in the ABMR group were higher than in the stable group and the TCMR group(both P<0.01),with the TCMR group also showing higher levels than the stable group(P<0.01).Both TCMR and ABMR groups had significantly higher blood urea nitrogen levels than the stable group(P<0.01),with no statistically significant difference between TCMR and ABMR groups(P>0.05).The estimated glomerular filtration rate(eGFR)was lower in both TCMR and ABMR groups compared with the stable group(both P<0.01).In routine blood tests,the ABMR group had lower hemoglobin,red blood cell count,and platelet count than the stable group(all P<0.05).The TCMR group had higher neutrophil percentage(P<0.05)and count(P<0.05)than the stable group,and the ABMR group had a higher neutrophil percentage than the stable group(P<0.05).The eosinophil percentage and count in the TCMR group were lower than in the stable and ABMR groups(all P<0.05).Both TCMR and ABMR groups had lower basophil percentage and count,as well as lower lymphocyte percentage and count,compared with the stable group(all P<0.05).There were no significant differences in monocyte percentage and count among the 3 groups(all P>0.05).In lymphocyte subpopulations,the TCMR and ABMR groups had lower counts of CD45+cells and T cells compared with the stable group(all P<0.05).The TCMR group also had lower counts of CD4+T cells,NK cells,and B cells than the stable group(all P<0.05).There were no significant differences in the T cell percentage,CD4+T cell percentage,CD8+T cell percentage and their counts,CD4+/CD8+T cell ratio,NK cell percentage,and B cell percentage among the stable,TCMR,and ABMR groups(all P>0.05). Conclusion:The occurrence of rejection leads to impaired transplant kidney function,accompanied by characteristic changes in some parameters of routine blood tests and peripheral blood lymphocyte subpopulations in kidney transplant recipients.The different characteristics of changes in some parameters of routine blood tests and peripheral blood lymphocyte subpopulations during TCMR and ABMR may help predict and diagnose rejection and differentiate between TCMR and ABMR.

AIM:To investigate the effects of exercise preconditioning(EP)combined with electroacupunc-ture(EA)on learning and memory ability of rats with vascular dementia(VD),and to explore role of hippocampal ferrop-tosis in this process.METHODS:Seventy-two male SD rats were randomly divided into non-EP group and EP group,with 36 rats in each group.The rats were subjected to EP,and subsequently to establish the VD model.The rats from non-EP group were randomly divided into sham group,model group(VD group)and VD-EA group,each with 12 rats,while those in EP group were randomly divided into EP-sham group,EP-VD group and EP-VD-EA group,each with 12 rats.All rats in EP group underwent 4 weeks of swimming exercise training,5 d per week,30 min per day.At the end of the 4th week,the rats in VD,EP-VD,EP-VD-EA and VD-EA groups were used to induce the VD model,and the rats in sham and EP-sham groups received a sham surgery to simulate the VD model.On the 7th day after successful modeling,the rats in EP-VD-EA and VD-EA groups were treated with EA for 4 weeks,6 d per week,30 min per day.At the end of the inter-vention,the learning and memory ability of the rats was evaluated using Morris water maze.Neuron morphology in the CA1 area of rat hippocampus was observed through Nissl staining.Ferrous ion(Fe2+),malondialdehyde(MDA)and re-duced glutathione(GSH)contents in the rat hippocampal tissues were quantified using the colorimetric assay.The expres-sion levels of ferroptosis-related proteins,nuclear factor E2-related factor 2(Nrf2)and glutathione peroxidase 4(GPX4),in the hippocampal tissues were quantified by Western blot method.RESULTS:Compared with sham group,the rats in VD group exhibited longer mean evasion latency and decreased number of traversals across the plateau(P<0.01).The neurons in the CA1 region of the hippocampus were loose and disorganized,exhibiting an irregular cellular morphology.The hippocampal Fe2+and MDA content was elevated,and the GSH content was reduced(P<0.01).The protein levels of hippocampal Nrf2 and GPX4 were decreased(P<0.01).Compared with VD group,the rats in EP-VD,EP-VD-EA and VD-EA groups showed a shorter average escape latency and an increased number of traversals across the plateau(P<0.05).Neurons in the hippocampal CA1 area were more neatly arranged,showing regular cellular morphology.The hip-pocampal Fe2+and MDA contents of the rats in EP-VD group were significantly reduced(P<0.01),while the GSH content was elevated(P<0.05).Hippocampal Fe2+and MDA contents were significantly reduced and GSH contents were signifi-cantly increased in EP-EA and EA groups(P<0.01).The protein levels of hippocampal Nrf2 and GPX4 in EP-VD,EP-VD-EA and VD-EA groups were significantly increased(P<0.01).CONCLUSION:Exercise preconditioning combined with EA improves learning and memory ability in VD rats by reducing hippocampal intra-neuronal iron overload,maintain-ing organismal redox homeostasis,and inhibiting ferroptosis.

Tropane alkaloids (TAs) are a class of anticholinergic drugs widely used in clinical practice and mainly extracted from plant, among which Atopa belladonna is the main commercial drug source. It is of great industrial value to obtain TAs in large quantities by plant metabolic engineering. In TAs pathway, cytochrome oxidase CYP82M3 catalyze the synthesis of tropinone and then tropinone reductase I (TRI) compete with TRII for tropinone to form tropine leading to the TAs synthesis (drainage). In this study, based on the "increasing flow and drainage" metabolic engineering strategy, two genes, namely HnCYP82M3 and DsTRI from Hyoscyamus niger and Datura stramonium, respectively, were overexpressed in the hair roots of A. belladonna, with a view to promote the TAs accumulation. The HnCYP82M3 gene was cloned from the root of H. niger, and it encoded amino acid with 91.7% sequence identity with AbCYP82M3 from A. belladonna. Overexpression of HnCYP82M3 alone did not affect the content of TAs in hair roots of A. belladonna, indicating that CYP82M3 was not a key enzyme in TAs biosynthesis. Simultaneous overexpression of HnCYP82M3 and DsTRI greatly promoted the accumulation of the three TAs, and the contents of hyoscyamine, anisodamine and scopolamine were 4.97 times, 2.83 times and 2.19 times that of the control, respectively, and the increase amplitude was greater than that of single overexpression of DsTRI. This study showed that the "increasing flow and drainage" strategy of enzyme genes co-expression at branch points was a promising metabolic engineering method to effectively improve the biosynthesis of TAs in A. belladonna, and laid a theoretical and technical foundation for the large-scale industrial acquisition of TAs.