1.Staged treatment for 32 cases of ankylosing spondylitis with different acupuncture methods based on jingjin theory.
Ganggang LIU ; Ke YANG ; Jun GENG ; Cuiping LUO ; Ya ZHAO ; Jie ZHAO ; Yiyan ZHOU ; Yu SUN
Chinese Acupuncture & Moxibustion 2025;45(2):156-158
OBJECTIVE:
To observe the clinical efficacy of different acupuncture methods in the treatment of ankylosing spondylitis (AS) at different stages.
METHODS:
Thirty-two patients with AS were treated with acupuncture at ashi points (tendon focus), triple acupuncture method was used in the acute phase, accompanied needling method was used in the remission phase, once a day, 5 times a week for 4 weeks. The Bath ankylosing spondylitis disease activity index (BASDAI) score, Bath ankylosing spondylitis functional index (BASFI) score and TCM symptom grade quantitative standard score before and after treatment were observed, and the efficacy was evaluated.
RESULTS:
After treatment, the BASDAI score, BASFI score and TCM symptom grade quantitative standard score were reduced compared with those before treatment (P<0.01), the effective rate was 96.9% (31/32).
CONCLUSION
Different acupuncture methods in the treatment of AS at different stages could improve signs and symptoms, such as pain, activity limitation and morning stiffness.
Humans
;
Spondylitis, Ankylosing/physiopathology*
;
Acupuncture Therapy/methods*
;
Male
;
Female
;
Adult
;
Middle Aged
;
Young Adult
;
Acupuncture Points
;
Treatment Outcome
2.Community health follow-up management and association with mental health among disabled residents:a population-based cross-sectional study based on the long-term care insurance system
Li-juan WANG ; Yan HAN ; Wei DAI ; Hui LI ; Jun-ling GAO ; Yao LIU ; Ya-ping ZHANG
Fudan University Journal of Medical Sciences 2025;52(2):256-262,269
Objective To explore the relationship between community health follow-up management and the mental health of the long-term care insurance residents,and to provide a basis for the construction of an integrated community home care service mode for disabled elders.Methods The residents were selected through cluster sampling who participated in LTCI home care from Jan 1 to Dec 31,2021.After a year of participation,the subjects'mental health was assessed face-to-face by trained community doctors using the Self-Rating Anxiety Scale and the Self-Rating Depression Scale.By referring to residents'electronic health records combined with on-site questionnaire survey,community doctors collected the demographic information and health follow-up management provided by primary medical and health institutions.The multivariate logistic regression were conducted to evaluate the association between follow-up care and mental health outcomes.Results The study consisted of 399 LTCI-enrolled individuals,57.64%(n=230)received follow-up care by family physicians.The prevalence of anxiety and depression among participants was 19.80%(n=79)and 67.67%(n=270),respectively.Univariate analysis found that community health follow-up management could underscore the potential impact of follow-up care in mitigating anxiety(χ2=38.926,P<0.001)and depression(χ2=14.598,P<0.001)among LTCI enrollees.Multivariate analysis revealed that follow-up care was an independent protective factor against anxiety(adjusted OR=0.351,95%CI:0.176-0.701,P=0.003).However,follow-up care did not significantly impact depression prevalence.Additionally,LTCI grade and education level were also identified factors influencing the mental health of participants(P<0.05).Conclusion Community health service centers provide health follow-up management that plays a positive role in alleviating the anxiety symptoms of disabled residents under long-term care insurance home care.It is an effective way to improve the quality of LTCI home care services.
3.Molecular mechanism of regulatory effects of electroacupuncture on Lipopolysaccharide-induced depressed mice based on transcriptomics techniques
Xiaoling LIU ; Anni SHI ; Yaxuan WANG ; Ai TIAN ; Jun LU ; Ya TU
Journal of Beijing University of Traditional Chinese Medicine 2025;48(9):1299-1309
Objective To investigate the effect of electroacupuncture(EA)on the behaviors of lipopolysaccharide(LPS)-induced depression-like mice and explore the potential molecular mechanism of the antidepressant effect of EA using transcriptomics sequencing technology.Methods Thirty-six male specific pathogen-free-grade C57BL/6J mice were divided into the normal,the model,and the EA groups using the random number table method,with 12 mice per group.The EA group received a daily 20-minute EA at the"Baihui"and"Yintang"acupoints for 7 days.After 7 days of EA treatment,1.5 mg/kg LPS was injected intraperitoneally into the model and EA groups,whereas the normal group received an injection of an equal volume of saline solution.Depressive behaviors were assessed using the open-field test,tail-suspension test,and other relevant tests.Pathologic morphology of the hippocampus tissue was determined using hematoxylin-eosin staining.Transcriptomics technology was used to identify differentially expressed genes in the hippocampus,and bioinformatics analysis was performed.Real-time fluorescence quantitative PCR was performed to detect the mRNA expressions of hematopoietic cell kinase(Hck),adhesion G protein-coupled receptor E1(Adgre1),Toll-like receptor 2(Tlr2),and Gm49037 in the hippocampus.Results Compared to the normal group,mice in the model group exhibited a decrease in total travel distance,central travel distance,center area time(P<0.01),as well as an increase in tail-suspension immobility time(P<0.05).Hippocampal neurons were loosely arranged,and some neurons had blurred boundaries.Compared to the model group,mice in the EA group showed an increase in open-field total travel distance,central travel distance,center area time(P<0.05),as well as a decrease in tail-suspension immobility time(P<0.01);Additionally,hippocampal neurons were more tightly arranged,exhibiting clearer morphology and structure.Transcriptomic analysis revealed that 779 differentially expressed genes were identified in the model group compared to the normal group,whereas 172 genes differed between the EA and model groups.Nineteen genes were upregulated in the model group but downregulated in the EA group,and ten genes were down-regulated in the model group but up-regulated in the EA group.Gene Ontology Functional Analysis indicated that these genes primarily function in immune responses,Toll-like receptor activity,cell surface receptor signaling pathways,and interleukin-10 production.Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed enrichment in inflammation-related pathways,including Toll-like receptor signaling pathway and tumor necrosis factor signaling pathway.Compared to the normal group,Hck,Adgre1,and Tlr2 mRNA expressions were elevated in the model group(P<0.01),whereas there was a decrease tendency for Gm49037 mRNA expression and there was no significant difference(P>0.05);compared to the model group,Hck,Adgre1,and Tlr2 mRNA expressions were decreased in the EA group(P<0.05),whereas there was an increase tendency for Gm49037 mRNA expression and there was no significant difference(P>0.05).Conclusion EA alleviated depressive-like behavior and pathological damage in the hippocampus in LPS-induced mice,which may be related to attenuating hippocampal inflammatory pathways,and Hck,Adgre1,and Tlr2 genes may be the potential targets for its effect.
4.circ_0071653 targeted miR-197-3p regulates proliferation and metastasis of esophageal squamous cell carcinoma
Xuan ZHENG ; Yan-lei GE ; Jun-qing GAN ; Ye JIN ; Yi-shuang CUI ; Ya-nan WU ; Zi-qing LIU ; Guo-gui SUN
Chinese Pharmacological Bulletin 2025;41(5):888-898
Aim To investigate the effects of circ_0071653 targeting miR-197-3p on the proliferation and metastasis of esophageal squamous cell carcinoma(ES-CC)cells.Methods The circular structure of circ_0071653 was confirmed by Sanger sequencing and ribo-nuclease R tolerance experiments.Real-time quantita-tive polymerase chain reaction(RT-qPCR)and tissue fluorescence in situ hybridization assay were performed to detect the circ_0071653 expression levels and ana-lyze its clinical relevance.Cell fluorescence in situ hy-bridization and nuclear cytoplasmic separation assays were used to verify the subcellular localization of circ_0071653 and miR-197-3p.Bioinformatics analysis,dual luciferase reporter gene and RT-qPCR assays were conducted to validate the interactions between circ_0071653 and miR-197-3p.Moreover,the cell counting Kit-8(CCK-8),colony formation,scratch,Transwell invasion and subcutaneous tumor formation in nude mice assays were used to evaluate the effects of circ_0071653 and miR-197-3p on cell viability,prolifera-tion,migration,and invasion and in vivo tumorigenesi-sability.Results Circ_0071653 was a circular RNA,which showed high expression in ESCC cell lines and tissues.The expression of circ_0071653 was signifi-cantly correlated with lymph node metastasis and clini-cal stage of ESCC patients.Circ_0071653 and miR-197-3p were mainly localized in the cytoplasm.The databases predict that circ_0071653 had complementa-ry binding sites with miR-197-3p,and their binding were confirmed by dual luciferase reporter geneand RT-qPCR assays.Moreover,the activity,proliferation,migration,invasion and in vivo tumorigenesis abilities of ESCC cells were significantly reduced after knocking down circ_0071653,and this effect could be reversed by downregulating the expression of miR-197-3p.Con-clusions Circ_0071653 promotes the malignant pro-gression of ESCC through targeted regulation of miR-197-3p.
5.Prediction and Clinical Evaluation of Cobb Angle in Idiopathic Scoliosis Using Machine Learning and Three-Point Mechanical Data of 3D-Printed Orthotics
Xunjun MA ; Ya LI ; Jun YU ; Haitao LIU ; Yuncheng WU ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(2):364-370
Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.
6.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
7.circ_0071653 targeted miR-197-3p regulates proliferation and metastasis of esophageal squamous cell carcinoma
Xuan ZHENG ; Yan-lei GE ; Jun-qing GAN ; Ye JIN ; Yi-shuang CUI ; Ya-nan WU ; Zi-qing LIU ; Guo-gui SUN
Chinese Pharmacological Bulletin 2025;41(5):888-898
Aim To investigate the effects of circ_0071653 targeting miR-197-3p on the proliferation and metastasis of esophageal squamous cell carcinoma(ES-CC)cells.Methods The circular structure of circ_0071653 was confirmed by Sanger sequencing and ribo-nuclease R tolerance experiments.Real-time quantita-tive polymerase chain reaction(RT-qPCR)and tissue fluorescence in situ hybridization assay were performed to detect the circ_0071653 expression levels and ana-lyze its clinical relevance.Cell fluorescence in situ hy-bridization and nuclear cytoplasmic separation assays were used to verify the subcellular localization of circ_0071653 and miR-197-3p.Bioinformatics analysis,dual luciferase reporter gene and RT-qPCR assays were conducted to validate the interactions between circ_0071653 and miR-197-3p.Moreover,the cell counting Kit-8(CCK-8),colony formation,scratch,Transwell invasion and subcutaneous tumor formation in nude mice assays were used to evaluate the effects of circ_0071653 and miR-197-3p on cell viability,prolifera-tion,migration,and invasion and in vivo tumorigenesi-sability.Results Circ_0071653 was a circular RNA,which showed high expression in ESCC cell lines and tissues.The expression of circ_0071653 was signifi-cantly correlated with lymph node metastasis and clini-cal stage of ESCC patients.Circ_0071653 and miR-197-3p were mainly localized in the cytoplasm.The databases predict that circ_0071653 had complementa-ry binding sites with miR-197-3p,and their binding were confirmed by dual luciferase reporter geneand RT-qPCR assays.Moreover,the activity,proliferation,migration,invasion and in vivo tumorigenesis abilities of ESCC cells were significantly reduced after knocking down circ_0071653,and this effect could be reversed by downregulating the expression of miR-197-3p.Con-clusions Circ_0071653 promotes the malignant pro-gression of ESCC through targeted regulation of miR-197-3p.
8.Prediction and Clinical Evaluation of Cobb Angle in Idiopathic Scoliosis Using Machine Learning and Three-Point Mechanical Data of 3D-Printed Orthotics
Xunjun MA ; Ya LI ; Jun YU ; Haitao LIU ; Yuncheng WU ; Jinwu WANG
Journal of Medical Biomechanics 2025;40(2):364-370
Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.
9.circHERC4_041 Inhibits the Fibrotic Phenotype of Cardiac Fibroblasts by Encoding Protein
Yuan GAO ; Chuan-Meng ZHOU ; Hua-Yan WU ; Ya WANG ; Ru-Shi WU ; Pei-Ying GUAN ; Jun-Tao FANG ; Jin-Dong XU ; Yu-Peng LIU ; Zhi-Qin HU ; Zhi-Xin SHAN
Chinese Journal of Biochemistry and Molecular Biology 2025;41(3):393-403
A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P<0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P<0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.
10.Molecular mechanism of regulatory effects of electroacupuncture on Lipopolysaccharide-induced depressed mice based on transcriptomics techniques
Xiaoling LIU ; Anni SHI ; Yaxuan WANG ; Ai TIAN ; Jun LU ; Ya TU
Journal of Beijing University of Traditional Chinese Medicine 2025;48(9):1299-1309
Objective To investigate the effect of electroacupuncture(EA)on the behaviors of lipopolysaccharide(LPS)-induced depression-like mice and explore the potential molecular mechanism of the antidepressant effect of EA using transcriptomics sequencing technology.Methods Thirty-six male specific pathogen-free-grade C57BL/6J mice were divided into the normal,the model,and the EA groups using the random number table method,with 12 mice per group.The EA group received a daily 20-minute EA at the"Baihui"and"Yintang"acupoints for 7 days.After 7 days of EA treatment,1.5 mg/kg LPS was injected intraperitoneally into the model and EA groups,whereas the normal group received an injection of an equal volume of saline solution.Depressive behaviors were assessed using the open-field test,tail-suspension test,and other relevant tests.Pathologic morphology of the hippocampus tissue was determined using hematoxylin-eosin staining.Transcriptomics technology was used to identify differentially expressed genes in the hippocampus,and bioinformatics analysis was performed.Real-time fluorescence quantitative PCR was performed to detect the mRNA expressions of hematopoietic cell kinase(Hck),adhesion G protein-coupled receptor E1(Adgre1),Toll-like receptor 2(Tlr2),and Gm49037 in the hippocampus.Results Compared to the normal group,mice in the model group exhibited a decrease in total travel distance,central travel distance,center area time(P<0.01),as well as an increase in tail-suspension immobility time(P<0.05).Hippocampal neurons were loosely arranged,and some neurons had blurred boundaries.Compared to the model group,mice in the EA group showed an increase in open-field total travel distance,central travel distance,center area time(P<0.05),as well as a decrease in tail-suspension immobility time(P<0.01);Additionally,hippocampal neurons were more tightly arranged,exhibiting clearer morphology and structure.Transcriptomic analysis revealed that 779 differentially expressed genes were identified in the model group compared to the normal group,whereas 172 genes differed between the EA and model groups.Nineteen genes were upregulated in the model group but downregulated in the EA group,and ten genes were down-regulated in the model group but up-regulated in the EA group.Gene Ontology Functional Analysis indicated that these genes primarily function in immune responses,Toll-like receptor activity,cell surface receptor signaling pathways,and interleukin-10 production.Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed enrichment in inflammation-related pathways,including Toll-like receptor signaling pathway and tumor necrosis factor signaling pathway.Compared to the normal group,Hck,Adgre1,and Tlr2 mRNA expressions were elevated in the model group(P<0.01),whereas there was a decrease tendency for Gm49037 mRNA expression and there was no significant difference(P>0.05);compared to the model group,Hck,Adgre1,and Tlr2 mRNA expressions were decreased in the EA group(P<0.05),whereas there was an increase tendency for Gm49037 mRNA expression and there was no significant difference(P>0.05).Conclusion EA alleviated depressive-like behavior and pathological damage in the hippocampus in LPS-induced mice,which may be related to attenuating hippocampal inflammatory pathways,and Hck,Adgre1,and Tlr2 genes may be the potential targets for its effect.

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