Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

[摘 要] 目的：评估放疗作为原位疫苗的联合治疗模式在晚期软组织肉瘤（STS）患者中的有效性和安全性。方法：回顾性分析2020年12月至2024年9月期间在南京大学医学院附属鼓楼医院肿瘤中心接受联合治疗模式的12例晚期STS患者的临床资料。12例患者均接受了联合治疗。放疗主要以大分割为主。靶向治疗：安罗替尼10例、阿帕替尼2例。免疫治疗以PD-1抗体为主。主要研究终点为疾病控制率（DCR），次要研究终点为客观有效率（ORR）及安全性。结果：接受联合治疗的12例STS患者中有0例CR，4例PR，7例SD，1例PD。ORR为33%，DCR为91.7%，其中靶病灶的DCR为100%。12例患者中，9例出现Ⅰ~Ⅱ级不良反应。最常发生的血液学不良反应是贫血（6例）、肝功能检查结果异常（3例）。最常发生的非血液学不良反应是尿蛋白（5例）、高血压（4例）、甲状腺功能异常（3例）、厌食（3例）、恶心呕吐（2例）；仅2例发生Ⅲ级血液毒性，有1例发生Ⅲ级气胸。结论：放疗作为原位疫苗的联合治疗模式在晚期STS患者中展现出较高的DCR，且未出现严重不良反应。该联合治疗模式具有良好的有效性与安全性。

ObjectiveTo explore the mechanism of Bushen Huoxue enema in treating the rat model of kidney deficiency and blood stasis-thin endometrium （KDBS-TE） by transcriptome sequencing. MethodThe rat model of KDBS-TE was established by administration of tripterygium polyglycosides tablets combined with subcutaneous injection of adrenaline. The pathological changes of rat endometrium in each group were then observed. Three uterine tissue specimens from each of the blank group， model group， and Bushen Huoxue enema group were randomly selected for transcriptome sequencing. The differentially expressed circRNAs， lncRNAs， and miRNAs were screened， and the disease-related specific competitive endogenous RNA （ceRNA） regulatory network was constructed. Furthermore， the gene ontology （GO） functional annotation and the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment were performed for the mRNAs in the network. ResultCompared with the blank group， the model group showed endometrial dysplasia， decreased endometrial thickness and endometrial/total uterine wall thickness ratio （P<0.01）， and differential expression of 18 circRNAs， 410 lncRNAs， and 7 miRNAs. Compared with the model group， the enema and estradiol valerate groups showed improved endometrial morphology and increased endometrial thickness and ratio of endometrial to total uterine wall thickness （P<0.05）. In addition， 21 circRNAs， 518 lncRNAs， and 17 miRNAs were differentially expressed in the enema group. The disease-related specific circRNA-miRNA-mRNA regulatory network composed of 629 nodes and 664 edges contained 2 circRNAs， 34 miRNAs， and 593 mRNAs. The lncRNA-miRNA-mRNA regulatory network composed of 180 nodes and 212 edges contained 5 lncRNAs， 10 miRNAs， and 164 mRNAs. The mNRAs were mainly enriched in Hippo signaling pathway， autophagy-animal， axon guidance， etc. ConclusionBushen Huoxue enema can treat KDBS-TE in rats by regulating specific circRNAs， lncRNAs， and miRNAs in the uterus and the ceRNA network.

Objective:To investigate the predictive value of preoperative D-dimer level for futile recanalization (FR) after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS).Methods:It was a nested case-control study. A total of 116 patients with large vessel occlusion (LVO) stroke, who underwent successful recanalization (modified Thrombolysis in Cerebral Infarction, mTICI≥2b) after MT at the Stroke Unit of Beijing Hospital from August 2018 to January 2022,were consecutively enrolled, including 72 males (62.1%) with the age of (72.8±13.1) years. According to the 3-month modified Rankin Scale (mRS) score after MT, patients were divided into the meaningful recanalization group (mRS 0-2, n=41) and the futile recanalization group (mRS 3-6, n=75). The baseline clinical data of enrolled patients was collected. Logistic regression analysis was used to identify the independent risk factors for FR after MT in patients with AIS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of D-dimer for FR. Results:Multivariate logistic regression analysis showed that high baseline systolic blood pressure (SBP) ( OR=1.038, 95% CI: 1.012-1.065, P=0.004), baseline National Institutes of Health Stroke Scale (NIHSS) score≥12 ( OR=10.157, 95% CI: 3.624-28.470, P<0.001) and high preoperative D-dimer level ( OR=4.536, 95% CI: 1.379-14.922, P=0.013) were independent predictors of FR after MT in AIS patients with LVO. ROC curve analysis indicated a good predictive value of preoperative D-dimer for the occurrence of FR ( AUC=0.733, 95% CI: 0.638-0.829, P<0.05), the optimal cut-off value of D-dimer was 2.65 μg/L(Lg), with the Youden index, sensitivity, specificity and accuracy of 0.435, 53.3%, 90.2% and 66.4%, respectively. Conclusion:High preoperative D-dimer level is an independent predictor of futile recanalization after MT in AIS patients with LVO, which shows good predictive ability for futile recanalization.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.

Objective This study utilizes bioinformatics methods to analyze differentially expressed genes(DEGs)between Alzheimer's disease(AD)and vascular dementia(VD)compared to normal controls.The aim is to identify key genes and validate their relevance to both types of dementia.Methods Gene chip dataset GSE122063 were obtained from the Gene Expression Omnibus(GEO)database.Using the GEO2R tool,DEGs in AD,VD,and normal control group were screened.We constructed a protein-protein interaction network using the STRING database and identified key genes through Cytoscape.Subsequently,DAVID database were used to analyze gene ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways associated with interconnected DEGs,predicting their biological functions.Finally,diagnostic performance were validated and assessed by using receiver operating characteristic curves.Results In the AD and VD groups,we identified 1099 and 505 DEGs,respectively,with 69 genes showing associations in the protein-protein interaction network.GO analysis revealed that DEGs are primarily located in the extracellular matrix,cell surface,and plasma membrane.They influence biological processes such as signal transduction and inflammatory responses,with functions related to receptor binding and signal receptor activity,collectively contributing to dementia development.KEGG analysis indicated significant enrichment of DEGs in immune-related signaling pathways,including microbial infections,rheumatoid arthritis,systemic lupus erythematosus,and inflammatory bowel disease.Four key genes—CCR5,CCL2,FCGR2A,and ITGB2—with significantly elevated expression in both AD and VD groups were indentifiied.The area under the curve suggests their potential diagnostic value for dementia.Conclusion Through bioinformatics analysis of AD and VD,the enriched signaling pathways and key genes associated with immunity and inflammation were discovered.These findings may play a crucial role in dementia progression and provide new insights for early diagnosis.

Objective:This study aims to analyze the spatial-temporal patterns,evolutionary trends,and regional balance of human resources in village clinics in China,providing a practical basis and decision-making reference for the construction of rural healthcare systems.Methods:By employing a variety of spatial-temporal statistical analysis methods,this study examines the spatial-temporal development and dynamic distribution trends of human resource allocation in village clinics.It explores the characteristics of resource allocation balance,and deconstructs the sources of regional,interregional,and intraregional disparities in human resource structures.Results:The total scale of human resources in village clinics decreased,but the number of personnel per thousand population and the proportion of health technicians increased.The human resources of village clinics in different provinces have gradually evolved to Twin Peaks,showing a convergence trend of spatial clubs.There is a significant difference in the allocation of human resources in village clinics,and the internal difference in the eastern region contributes the most,both within and between regions,the difference of health technical personnel has gradually become the main reason for the unbalanced allocation of village clinic space.Conclusion:The allocation of human resources in village clinics in China is facing the challenge of decreasing the total amount.The sustainability of the optimized allocation of personnel structure needs to be further enhanced,and the balance of the allocation of health technical personnel space has also been slightly improved,it is necessary to re-examine the total amount of human resources management in village clinics,promote the optimization of personnel structure and the complementarity of regional advantages,and reduce regional differences in the optimization of personnel structure.

ObjectiveTo support intelligent clinical decision-making in traditional Chinese medicine（TCM）， this study utilized ontology and knowledge graph construction techniques to achieve the IT application of clinical practice guidelines. MethodBased on the principles of findability， accessibility， interoperability， and reusability （FAIR principles）， this study employed ontology techniques to construct an ontology for TCM clinical practice guidelines and built a knowledge graph using coronary heart disease as an example. Based on the Checklist for Reporting Practice Guidelines in Traditional Chinese Medicine and Recommendation Grading in TCM Clinical Guidelines/Consensus （T/CAS 530—2021），the ontology of TCM clinical practice guidelines was constructed using the seven-step ontology construction method. On this basis，the TCM diagnosis and treatment data from the Guidelines for the Diagnosis and Treatment of Stable Angina Pectoris in Coronary Heart Disease were stored in Neo4j in the form of triples through knowledge extraction，integration，and storage. ResultThe information in the clinical practice guidelines was divided into three categories： onset and prevention information， diagnosis information， and treatment information， and the TCM clinical practice guideline ontology was constructed. A total of 27 concepts related to TCM clinical diagnosis and treatment and 14 data attributes were obtained， and 12 conceptual relationships including hierarchical relationships and object attributes were established. By taking coronary heart disease as an example and the TCM clinical practice guideline ontology as the model layer， the knowledge map of TCM diagnosis and treatment guidelines for stable angina pectoris in coronary heart disease with 276 nodes and 336 relationships was constructed， realizing the visual display and query of the guideline content. ConclusionThe ontology of TCM clinical practice guidelines and the knowledge graph of stable angina pectoris in coronary heart disease constructed by combining the seven-step ontology construction method and Neo4j graph database technology are efficient and flexible，providing an intelligent TCM diagnosis and treatment scheme and promoting the standardization and objectification of TCM diagnosis and treatment.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.