1.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
		                        		
		                        			Objective:
		                        			To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
		                        		
		                        			Methods:
		                        			Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
		                        		
		                        			Results:
		                        			A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
		                        		
		                        			Conclusion
		                        			The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
		                        		
		                        		
		                        		
		                        	
2.Development and application of a three-dimensional digital visualization system for children's neck acupoints
Xiaojing AO ; Kun LI ; Yuhang LIU ; Xiaoxuan YANG ; Xing WANG ; Zhijun LI ; Xiaoyan REN ; Shaojie ZHANG
Chinese Journal of Tissue Engineering Research 2025;29(9):1834-1840
		                        		
		                        			
		                        			BACKGROUND:Currently,there have been studies on three-dimensional digitalization and visualization systems for adult acupoints,but there are not many reports on the visualization of pediatric acupoints based on real pediatric digital sectional anatomical datasets. OBJECTIVE:To design and develop a digital three-dimensional visualization system for children's neck acupoints,to provide a basis for acupuncture and moxibustion,meridian and acupoint science teaching,clinical practice,acupuncture manipulation practice,and acupuncture safety research,and to provide a basis for the development of children's acupoint simulation system. METHODS:Based on a real cross-sectional anatomical dataset of pre-school boys,a three-dimensional digital virtual anatomical model of the neck region of children and internal multi-organ three-dimensional reconstruction were completed using PhotoShop 2021 and Digihuman Reconstruction System software.A database of 11 acupoints was compiled,including Fengfu and Fengchi,using the Unity database language.A three-dimensional model of children's neck anatomy,acupoint database,and writing acupuncture operation codes were integrated in Unity3D software.A three-dimensional digital visualization system for children's neck acupoints was successfully created,which integrated simulation acupoint positioning,three-dimensional acupoint anatomy,acupuncture training,clinical teaching,and acupuncture safety research. RESULTS AND CONCLUSION:(1)This study was based on real child specimens.Manual layer by layer segmentation of cross-sectional images was used to ensure the accuracy of the three-dimensional model to the greatest extent possible.The 3D software Digihuman Reconstruction System was utilized to extract and save independent segmentation data.PhotoShop 2021 software was collaborated with to complete dozens of three-dimensional reconstruction anatomical models of the outer skin of the neck and its internal bone structure,cervical spinal cord,blood vessels and nerves,muscles,and ligaments in children.The basic morphology and overall contour integrity verification of each independent structure were completed in MeshLab software.The 3-material research 13.0 software was applied for final fine tuning and anatomical position confirmation,successfully simulating and restoring the true anatomical morphology of the neck of preschool children.(2)Based on and referring to the national standards of the People's Republic of China,a database of commonly used acupoints in children's neck region was collected and organized,including their names,meridians,positioning,local anatomy,needle insertion levels,acupuncture methods,acupuncture accidents and prevention,acupoint indications,and two-dimensional anatomical sectional images.(3)Unity3D software was employed to integrate the three-dimensional model of children's neck,acupuncture simulation operation,and acupoint database,and a three-dimensional digital children's neck acupoint acupuncture visualization system was successfully constructed.The system displayed information on children's neck acupoints,two-dimensional and three-dimensional anatomical structures,and achieved two-dimensional and three-dimensional acupuncture simulation functions and acupuncture safety research functions for children's neck acupoints.Based on the ultra-thin sectional anatomical dataset of real child specimens,the first three-dimensional digital and visualization system for acupoints in the neck region of children had been constructed.Compared with previous acupoint acupuncture systems,it is more in line with the anatomical and morphological development characteristics of Asian children and has high application value in the fields of acupuncture safety research,clinical teaching,and acupuncture simulation training.
		                        		
		                        		
		                        		
		                        	
3.Exploring Academic Characteristics of Contemporary Experts and Schools in Traditional Chinese Medicine Gynecology in Treating Endometriosis Diseases Based on SrTO
Zhiran LI ; Xiaojun BU ; Xiaodan WANG ; Le ZHANG ; Ruixue LIU ; Jingyu REN ; Xing LIAO ; Weiwei SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(6):249-259
		                        		
		                        			
		                        			ObjectiveStarting from the etiology, pathogenesis, and treatment strategies of endometriosis and adenomyosis, to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion (SrTO) process developed by the Joanna Briggs Institute (JBI) in Australia, this paper determined literature screening criteria by searching China National Knowledge Infrastructure (CNKI), VIP, Wanfang, and China Biomedical Literature Database. Information was extracted after literature screening, and quality evaluation was conducted using the JBI Narrative, Text, and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative, Opinion, Text Evaluation, and Review Tool Summary Table was used for information synthesis, and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics, meridian circulation location, pathological product evolution, disease duration, emotional psychology, lifestyle habits, preference for food and drink, innate endowment, and acquired injury. In terms of treatment, it was advocated to divide the stage, treat according to different types, adapt to the times, integrate nature and humans, and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects, make good use of classic formulas and small prescriptions, pay attention to protecting the spleen and stomach and regulating emotions, and make good use of self-formulated empirical formulas for internal or external use. Besides, individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes, mechanisms, diagnosis, and treatments of endometriosis, providing a scientific and standardized reference for future theoretical exploration. 
		                        		
		                        		
		                        		
		                        	
4.Enzyme-directed Immobilization Strategies for Biosensor Applications
Xing-Bao WANG ; Yao-Hong MA ; Yun-Long XUE ; Xiao-Zhen HUANG ; Yue SHAO ; Yi YU ; Bing-Lian WANG ; Qing-Ai LIU ; Li-He ZHANG ; Wei-Li GONG
Progress in Biochemistry and Biophysics 2025;52(2):374-394
		                        		
		                        			
		                        			Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors. 
		                        		
		                        		
		                        		
		                        	
5.Status of Clinical Practice Guideline Information Platforms
Xueqin ZHANG ; Yun ZHAO ; Jie LIU ; Long GE ; Ying XING ; Simeng REN ; Yifei WANG ; Wenzheng ZHANG ; Di ZHANG ; Shihua WANG ; Yao SUN ; Min WU ; Lin FENG ; Tiancai WEN
Medical Journal of Peking Union Medical College Hospital 2025;16(2):462-471
Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.
6.Differention and Treatment of Brain Metastasis from Lung Cancer Based on Theory of "Yang Qi Depletion and Latent Pathogens Transmitting to the Brain"
Huiying ZHAO ; Yanxia LIANG ; Guangsen LI ; Wenwen WANG ; Wenwen SU ; Fenggu LIU ; Hongfei XING ; Maorong FAN
Journal of Traditional Chinese Medicine 2025;66(9):968-972
		                        		
		                        		
		                        		
		                        	
7.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
		                        		
		                        			 Purpose:
		                        			The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). 
		                        		
		                        			Materials and Methods:
		                        			Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. 
		                        		
		                        			Results:
		                        			A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. 
		                        		
		                        			Conclusion
		                        			USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients. 
		                        		
		                        		
		                        		
		                        	
9.Aberrant fragmentomic features of circulating cell-free mitochondrial DNA enable early detection and prognosis prediction of hepatocellular carcinoma
Yang LIU ; Fan PENG ; Siyuan WANG ; Huanmin JIAO ; Kaixiang ZHOU ; Wenjie GUO ; Shanshan GUO ; Miao DANG ; Huanqin ZHANG ; Weizheng ZHOU ; Xu GUO ; Jinliang XING
Clinical and Molecular Hepatology 2025;31(1):196-212
		                        		
		                        			 Background/Aims:
		                        			Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). 
		                        		
		                        			Methods:
		                        			Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). 
		                        		
		                        			Results:
		                        			The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). 
		                        		
		                        			Conclusions
		                        			We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients. 
		                        		
		                        		
		                        		
		                        	
10.Effect of Different Time Interventions of Yangxin Tongmai Formula (养心通脉方) on DNA Methylation in Rat Models of Premature Coronary Heart Disease with Blood Stasis Syndrome
Xing CHEN ; Zixuan YU ; Shumeng ZHANG ; Yanjuan LIU ; Shuangyou DENG ; Ying WANG ; Lingli CHEN ; Jie LI
Journal of Traditional Chinese Medicine 2025;66(11):1165-1173
		                        		
		                        			
		                        			ObjectiveTo observe the effect of Yangxin Tongmai Formula (养心通脉方) by midnight-noon ebb-flow administration method for rat models of premature coronary heart disease (PCHD) with blood stasis syndrome, and to explore the possible mechanism of action from the perspective of DNA methylation differential gene expression. MethodsThere were 3 SD rats in each of the blank group, model group and Yangxin Tongmai Formula group, and the rats in the model group and Yangxin Tongmai Formula group were fed with high-fat chow plus vitamin D3 by gavage plus isoproterenol hydrochloride by subcutaneous injection to construct rat models of PCHD with blood stasis syndrome. After successful modelling, rats in Yangxin Tongmai Formula group were gavaged with 18 g/(kg‧d) of Yangxin Tongmai Formula, and rats in blank group and the model group were gavaged with 4 ml/(kg‧d) of 0.9% NaCl solution, and serum samples of rats in each group were collected for DNA methylation sequencing after 3 weeks to screen for the relevant DNA methylation differentiation genes. In addition, rats with successful modelling of PCHD with blood stasis were randomly divided into model group, Yangxin Tongmai Formula with midnight-noon ebb-flow administration method group [18 g/(kg‧d) of Yangxin Tongmai Formula was gavaged twice in the heart channel period (12:00) and pericardium channel period (20:00)], the Yangxin Tongmai Formula control group [18 g/(kg‧d) of Yangxin Tongmai Formula was gavaged twice at 8:00 and 18:00] and the Atorvastatin Calcium group [atorvastatin calcium tablets solution 1.8 mg/(kg‧d) at the same intervention time as that in Yangxin Tongmai Formula control group], and set up a blank group of 8 rats in each group. The model group and blank group were gavaged with 0.9% NaCl solution 4 ml/(kg‧d) for the same time as the Yangxin Tongmai Formula control group. After 3 weeks of gavage, the blood lipids [including total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL)] levels of rats in each group were detected; the HE staining of myocardial tissues and thoracic aorta was used to observe the pathomorphological changes; the levels of serum inflammation indexes [tumour necrosis factor alpha (TNF-alpha), lipopolysaccharide (LPS), and interleukin 10 (IL-10)] were detected; immunoprecipitation-realtime fluorescence quantitative PCR was used to detect the relative expression of cardiac tissue screening differential genes. ResultsThe genes screened for differentially methylated regions were calmodulin 2 (Calm2), calcium voltage-gated channel subunit α1s (Cacna1s), and phospholipase Cβ1 (Plcb1). Compared with the blank group, rats in the model group showed elevated levels of TC, LDL, TNF-α and LPS, and decreased levels of HDL and IL-10 (P<0.05 or P<0.01); HE staining showed obvious swelling of myocardial fibres, accompanied by a large number of inflammatory cell infiltration, and thickening of the inner wall of the aortic vessels with internal wall damage, which was visible as a large number of lipid cholesterol crystals and obvious inflammatory cell infiltration. Compared with the model group, the TC, LDL, TNF-α and LPS contents of rats in the Yangxin Tongmai Formula with midnight-noon ebb-flow administration method group, the Yangxin Tongmai Formula control group, and the atorvastatin calcium group all reduced, and the contents of HDL and IL-10 all elevated (P<0.05), with the improvement of myocardial tissue damage and the reduction of inflammatory infiltration, and the improvement of the damage of the inner lining of the thoracic aorta and the reduction of lipid infiltration. Compared with Yangxin Tongmai Formula control group, LDL, TNF-α and LPS contents reduced, and IL-10 contents increased in the midnight-noon ebb-flow administration method group (P<0.05). Compared with the model group, the relative expression of Calm2 and Plcb1 genes decreased and the relative expression of Cacna1s gene increased in Yangxin Tongmai Formula control group and the midnight-noon ebb-flow administration method group (P<0.05); compared with the Yangxin Tongmai Formula control group, the relative expression of Calm2 gene decreased and the relative expression of Cacna1s gene increased in the midnight-noon ebb-flow administration method group (P<0.05). ConclusionThe intervention of Yangxin Tongmai Formula in the heart channel period (12:00) and pericardium channel period (20:00) was more effective in improving the blood lipid level, inhibiting inflammation, and improving myocardial tissue damage in rats of PCHD with blood stasis syndrome, and Calm2 and Cacna1s genes may be the key targets of Yangxin Tongmai Formula in intervening the blood stasis syndrome of PCHD. 
		                        		
		                        		
		                        		
		                        	
            

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