1.Neuroplasticity Mechanisms of Exercise-induced Brain Protection
Li-Juan HOU ; Lan-Qun MAO ; Wei CHEN ; Ke LI ; Xu-Dong ZHAO ; Yin-Hao WANG ; Zi-Zheng YANG ; Tian-He WEI
Progress in Biochemistry and Biophysics 2025;52(6):1435-1452
		                        		
		                        			
		                        			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. 
		                        		
		                        		
		                        		
		                        	
2.Effects of Exercise Training on The Behaviors and HPA Axis in Autism Spectrum Disorder Rats Through The Gut Microbiota
Xue-Mei CHEN ; Yin-Hua LI ; Jiu-Gen ZHONG ; Zhao-Ming YANG ; Xiao-Hui HOU
Progress in Biochemistry and Biophysics 2025;52(6):1511-1528
		                        		
		                        			
		                        			ObjectiveThe study explores the influence of voluntary wheel running on the behavioral abnormalities and the activation state of the hypothalamic-pituitary-adrenal (HPA) axis in autism spectrum disorder (ASD) rats through gut microbiota. MethodsSD female rats were selected and administered either400 mg/kg of valproic acid (VPA) solution or an equivalent volume of saline via intraperitoneal injection on day 12.5 of pregnancy. The resulting offspring were divided into 2 groups: the ASD model group (PASD, n=35) and the normal control group (PCON, n=16). Behavioral assessments, including the three-chamber social test, open field test, and Morris water maze, were conducted on postnatal day 23. After behavioral testing, 8 rats from each group (PCON, PASD) were randomly selected for serum analysis using enzyme-linked immunosorbent assay (ELISA) to measure corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) concentration, to evaluate the functional state of the HPA axis in rats. On postnatal day 28, the remaining 8 rats in the PCON group were designated as the control group (CON, n=8), and the remaining 27 rats in the PASD group were randomly divided into 4 groups: ASD non-intervention group (ASD, n=6), ASD exercise group (ASDE, n=8), ASD fecal microbiota transplantation group (FMT, n=8), and ASD sham fecal microbiota transplantation group (sFMT, n=5). The rats in the ASD group and the CON group were kept under standard conditions, while the rats in the ASDE group performed 6 weeks of voluntary wheel running intervention starting on postnatal day 28. The rats in the FMT group were gavaged daily from postnatal day 42 with 1 ml/100 g fresh fecal suspension from ASDE rats which had undergone exercise for 2 weeks, 5 d per week, continuing for 4 weeks. The sFMT group received an equivalent volume of saline. After the interventions were completed, behavioral assessments and HPA axis markers were measured for all groups. ResultsBefore the intervention, the ASD model group exhibited significantly reduced social ability, social novelty preference, spontaneous activity, and exploratory interest, as well as impaired spatial learning, memory, and navigation abilities compared to the normal control group (P<0.05). Serum concentration of corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and corticosterone (CORT) in the PASD group were significantly higher than those in the PCON group (P<0.05). Following 6 weeks of voluntary wheel running, the ASDE group showed significant improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, spatial learning, memory, and navigation skills compared to the ASD group (P<0.05), with a significant decrease in serum CORT concentration (P<0.05), and a downward trend in CRH and ACTH concentration. After 4 weeks of fecal microbiota transplantation in the exercise group, the FMT group showed marked improvements in social ability, social novelty preference, spontaneous activity, exploratory interest, as well as spatial learning, memory, and navigation abilities compared to both the ASD and sFMT groups (P<0.05). In addition, serum ACTH and CORT concentration were significantly reduced (P<0.05), and CRH concentration also showed a decreasing trend. ConclusionExercise may improve ASD-related behaviors by suppressing the activation of the HPA axis, with the gut microbiota likely playing a crucial role in this process. 
		                        		
		                        		
		                        		
		                        	
3.Comparison of multiple machine learning models for predicting the survival of recipients after lung transplantation
Lingzhi SHI ; Yaling LIU ; Haoji YAN ; Zengwei YU ; Senlin HOU ; Mingzhao LIU ; Hang YANG ; Bo WU ; Dong TIAN ; Jingyu CHEN
Organ Transplantation 2025;16(2):264-271
		                        		
		                        			
		                        			Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC 6 months 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC 1 year 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.
		                        		
		                        		
		                        		
		                        	
		                				4.Study on accumulation of polysaccharide and steroid components in Polyporus umbellatus  infected by Armillaria  spp.
		                			
		                			Ming-shu YANG ; Yi-fei YIN ; Juan CHEN ; Bing LI ; Meng-yan HOU ; Chun-yan LENG ; Yong-mei XING ; Shun-xing GUO
Acta Pharmaceutica Sinica 2025;60(1):232-238
		                        		
		                        			
		                        			 In view of the few studies on the influence of 
		                        		
		                        	
5. Finite element analysis of cervical intervertebral discs after removing different ranges of uncinate processes
Yang YANG ; Jun SHI ; Kun LI ; Shao-Jie ZHANG ; Er-Fei HOU ; Jie CHEN ; Xing WANG ; Zhi-Jun LI ; Kun LI ; Yuan MA ; Shao-Jie ZHANG ; Zhi-Jun LI ; Chao-Qun WANG
Acta Anatomica Sinica 2024;55(1):88-97
		                        		
		                        			
		                        			 Objective To study the stress change characteristics of the cervical disc after removing different ranges of the uncinate process by establishing a three⁃dimensional finite element model of the C 
		                        		
		                        		
		                        		
		                        	
6.The Effect of Smoking on the Semen Quality in Male Infertile
Yingjie YAO ; Jinfeng CAI ; Jianghou HOU ; Yunyan CHEN ; Ming XIA ; Haiyun YANG ; Pengying XIAO ; Lijun WANG
Journal of Kunming Medical University 2024;45(1):163-167
		                        		
		                        			
		                        			Objective To investigate the effect of smoking on the semen quality in infertile men.Methods A total of 360 male infertility patients were enrolled and divided into the smoking group(n=190)and non-smoking group(n=170)based on whether they smoked or not.Furthermore,the smoking group was subdivided into group A(≤10 sticks/d,n=63),group B(11~20 sticks/d,n=80),and group C(>20 sticks/d group,n=47)according to the amount of smoking.Semen volume,liquefaction time,sperm concentration,motility,DNA fragmentation rate and normal morphological rate were observed and compared between and within the groups.Results There were significant differences in semen volume,liquefaction time,sperm motility,normal morphological rate and DNA fragmentation rate between the smoking group and the non-smoking group(P<0.05).The semen volume,sperm motility and normal morphological rate of the smoking group were lower than those in the non-smoking group,and the DNA fragmentation rate and semen liquefaction time were higher than those in the non-smoking group.And with the increase of smoking volume,sperm motility and normal morphological rate decreased,semen liquefaction time and DNA fragmentation rate increased,and there was no significant difference in the sperm concentration between the smoking group and non-smoking group(P>0.05).There was no significant difference in the semen volume between the three groups with different smoking amounts(P>0.05).Conclusion Smoking has a negative impact on the sperm quality parameters such as semen volume,sperm motility,normal morphological rate,sperm motility,liquefaction time and DNA fragmentation,and the effect of heavy smoking is particularly obvious.We should strengthen the comprehensive health education,promote the healthy lifestyles and reduce smoking.
		                        		
		                        		
		                        		
		                        	
7.Construction of a quality evaluation index system for specialty care of knee ligament injuries based on a three-dimensional quality structure model
Yiqin YANG ; Sanlian HU ; Xiaomei WEI ; Dan HE ; Weihua HOU ; Haiyan WANG ; Tangyu CHEN ; Qi LIANG
Chinese Journal of Practical Nursing 2024;40(9):692-700
		                        		
		                        			
		                        			Objective:To construct a nursing quality evaluation index system for knee ligament injury to provide a basis for standardizing the nursing practice and improving the nursing quality of knee ligament injury.Methods:Based on the three-dimensional quality structure model of "structure-process-outcome" proposed by Donabedian, the quality evaluation index system for knee ligament injury specialties was constructed through literature review, brainstorming, and Delphi expert consultation from April to June 2023.Results:Sixteen experts were included in the inquiry. The effective recovery rate of the two rounds of expert correspondence questionnaires was 16/16, the expert authority coefficient was 0.95, and the Kendell harmony coefficients of the expert correspondence were 0.116 and 0.122, respectively (both P<0.05). The final constructed knee ligament injury specialty care quality evaluation index system contained 3 primary indicators (structural quality, process quality and outcome quality), 16 secondary indicators, and 69 tertiary indicators.Conclusions:The specialized nursing quality evaluation index system for knee ligament injury constructed in this study is scientific and reliable, which can provide a basis for the evaluation and assessment of the nursing quality of knee ligament injury specialties and promote the continuous improvement of their nursing quality.
		                        		
		                        		
		                        		
		                        	
8.Network meta-analysis of the modeling effects of different factors on rabbit models of steroid-induced osteonecrosis of femoral head
Zhixing HU ; Qun LI ; Chao YANG ; Xiaoxiao WANG ; Luochangting FANG ; Wuqiong HOU ; Na LIN ; Weiheng CHEN ; Chunfang LIU ; Ya LIN
Chinese Journal of Tissue Engineering Research 2024;28(6):976-984
		                        		
		                        			
		                        			OBJECTIVE:The rabbit model of steroid-induced osteonecrosis of femoral head is the most commonly used animal model of femoral head necrosis.The pathological changes of the femoral head are close to clinical practice,however,the conditions,methods and evaluation standards of animal models reported in and outside China are not uniform,which leads to the low scientific value of animal models and is difficult to popularize.This study aimed to clarify the influence of different mold-making conditions on the establishment of steroid-induced osteonecrosis of femoral head rabbit model and analyze the appropriate conditions for the successful model establishment. METHODS:We searched the CNKI,WanFang,VIP,CBM,WoS,PubMed and EMbsae databases for the literature on the modeling of steroid-induced osteonecrosis of femoral head rabbits up to April 1,2022,completed the screening of the literature according to the inclusion and exclusion criteria and literature quality evaluation,and extracted the outcome index data in the literature.RevMan Stata and ADDIS statistical software were used to conduct a meta-analysis of the included data. RESULTS:(1)A total of 82 articles with 1 366 rabbits were included in the study.The steroid-induced osteonecrosis of femoral head modeling methods were divided into three types:steroid-alone method,steroid combined lipopolysaccharide method and steroid combined serum method.Among these,33 articles used steroid-alone method;20 articles used steroid combined lipopolysaccharide method;29 articles used steroid combined serum method.(2)Meta-analysis results showed that the three modeling methods significantly increased the rate of empty bone lacunae in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001),and significantly decreased the ratio of the trabecular bone area in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001).The order of empty bone lacunae rate of each modeling method was:steroid combined with lipopolysaccharide method>steroid-alone method>steroid combined with serum method>normal group,and the order of trabecular bone area rate of each modeling method was:normal group>steroid combined with serum method>steroid-alone method>steroid combined with lipopolysaccharide method.(3)The results of subgroup analysis suggested that the rate of empty bone lacunae in the rabbit model induced by steroid alone might be related to the rabbit variety and the type of steroid used for modeling(difference between groups P<0.05),in which the combined effect amount of New Zealand white rabbits was higher than that of Chinese white rabbits(P<0.05)and Japanese white rabbits,and the combined effect amount of dexamethasone was higher than that of other steroids.The rate of empty bone lacunae induced by steroid combined with lipopolysaccharide was related to the administration mode of lipopolysaccharide and the type of steroid(P<0.05),among which the combined effect of methylprednisolone sodium succinate was significantly higher than that of other steroids(P<0.05),and the combined effect of prednisolone was significantly lower than that of other steroids(P<0.05).The combined effect of lipopolysaccharide 100 μg/kg×twice was significantly lower than 10 μg/kg×twice and 50 μg/kg×twice(P<0.05).The rate of empty bone lacunae in the model induced by steroid combined with serum was related to serum dose and steroid type(P<0.05),among which the combined effect amount of dexamethasone sodium phosphate was significantly higher than other steroid types(P<0.05),and the combined effect amount of dexamethasone was significantly lower than other steroid types(P<0.05);the combined effect amount of serum"10 mL/kg+6 mL/kg"combined dose was lower than other serum doses(P<0.05). CONCLUSION:(1)With the rate of empty bone lacunae and the ratio of trabecular bone area as the judgment standard for the successful establishment of the model,the three modeling methods can successfully construct the rabbit steroid-induced osteonecrosis of femoral head model,of which the steroid combined with lipopolysaccharide method is the best.(2)New Zealand white rabbits and dexamethasone are recommended when selecting the steroid-alone method.Methylprednisolone sodium succinate and low-dose lipopolysaccharide are recommended when selecting the steroid combined with lipopolysaccharide method.Dexamethasone sodium phosphate is recommended when selecting the steroid combined with serum modeling method.
		                        		
		                        		
		                        		
		                        	
9.Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine (version 2024)
Xiao CHEN ; Hao ZHANG ; Man WANG ; Guangchao WANG ; Jin CUI ; Wencai ZHANG ; Fengjin ZHOU ; Qiang YANG ; Guohui LIU ; Zhongmin SHI ; Lili YANG ; Zhiwei WANG ; Guixin SUN ; Biao CHENG ; Ming CAI ; Haodong LIN ; Hongxing SHEN ; Hao SHEN ; Yunfei ZHANG ; Fuxin WEI ; Feng NIU ; Chao FANG ; Huiwen CHEN ; Shaojun SONG ; Yong WANG ; Jun LIN ; Yuhai MA ; Wei CHEN ; Nan CHEN ; Zhiyong HOU ; Xin WANG ; Aiyuan WANG ; Zhen GENG ; Kainan LI ; Dongliang WANG ; Fanfu FANG ; Jiacan SU
Chinese Journal of Trauma 2024;40(3):193-205
		                        		
		                        			
		                        			Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.
		                        		
		                        		
		                        		
		                        	
10.Correlation analysis of circular RNAs involved in liver injury in mice with autoimmune hepatitis
Yiwen HOU ; Ying LIU ; Zhurong LI ; Chen CHEN ; Zhencheng LI ; Yang LIU
Chinese Journal of Tissue Engineering Research 2024;28(14):2152-2158
		                        		
		                        			
		                        			BACKGROUND:The pathogenesis of autoimmune hepatitis has not been clearly elucidated.Circular RNA(CircRNA)is a research hotspot in the field of RNA and is involved in the pathogenesis of many autoimmune diseases.However,the role of CircRNA in autoimmune hepatitis remains unclear. OBJECTIVE:To investigate the relationship between CircRNA(CircRNA)and concanavalin A induced liver injury in mice with autoimmune hepatitis. METHODS:Bioinformatics analysis was performed on CircRNA profiles selected by previous microarray technology,including gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,so as to explore the potential biological functions of these differentially expressed genes.Twelve C57BL/6 mice were randomized into normal group and model group(n=6 per group).Autoimmune hepatitis model was established by tail vein injection of concanavalin A in the model group.Mice were killed at 12 hours after modeling to extract mouse liver and peripheral blood.The expression levels of CircRNAs were verified by qRT-PCR.Serum alanine aminotransferase and aspartate aminotransferase levels were detected by colorimetric method.The levels of oxidative stress indexes malondialdehyde and nitric oxide in mouse liver were detected by microplate method.The correlation between oxidative stress level and liver injury index was analyzed. RESULTS AND CONCLUSION:The results of GO analysis showed that the target genes with up-regulated CircRNAs expression were mainly involved in the biological processes of SNARE complex assembly regulation(P=0.004),their molecular functions were mainly metal ion binding(P=0.000 29),and the cell components were mainly enriched in CORVET complex(P=0.075).The biological processes involved in the down-regulated circRNAs target genes were mainly"negative regulation of pancreatic secretion"(P=0.000 42),the molecular functions were mainly"transcriptional activator activity"(P=0.025),and the cell components were mainly enriched in"extracellular components"(P=0.006).KEGG results showed that the target genes with up-regulated CircRNAs expression were mainly enriched in the"base excision-repair"signaling pathways(P=0.026).Compared with the normal group,serum alanine aminotransferase and aspartate aminotransferase levels and the levels of malondialdehyde and nitric oxide in mouse liver in the model group were significantly increased(P<0.01).Compared with the normal group,the expression of two selected CircRNAs(mmu-circ-0001520 and mmu-circ-0001577)was increased in the model group(P<0.05).Spearman correlation analysis showed that the expression of mmu-circ-0001520 and mmu-circ-0001577 was positively correlated with alanine aminotransferase,aspartate aminotransferase,malondialdehyde and nitric oxide.To conclude,the differential expression of CircRNAs is correlated with liver injury in autoimmune hepatitis mice.mmu-circ-0001520 and mmu-circ-0001577 are expected to be diagnostic biomarkers and therapeutic targets for autoimmune hepatitis.
		                        		
		                        		
		                        		
		                        	
            
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