Objective: To revise and validate the reliability and validity of Chinese version of the Benevolent Childhood Experiences (BCEs) Scale among college students, so as to provide a scientific and reliable assessment tool for related research. Methods: From April to June 2025, a stratified cluster random sampling method was used to select 1 677 freshmen from a university in Xuzhou City as participants. The survey was conducted by using the revised Benevolent Childhood Experiences (BCEs) Scale, Childhood Trauma Questionnaire (CTQ) and Brief Suicidal Behavior Scale. Reliability analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman correlation analysis, and hierarchical linear regression analysis were employed to evaluate the scale s reliability, validity, and relationships among variables. Results: The mean scores of the 10 items on the BCEs Scale ranged from 3.97 to 4.46, with standard deviations ranging from 0.88 to 1.07. The Cronbach α coefficient was 0.96. Exploratory factor analysis extracted a single factor, explaining 71.21% of the total variance. Confirmatory factor analysis indicated good model fit ( χ 2/df =4.81, goodness of fit index=0.99, comparative fit index=0.99, normed fit index=0.99, root mean square error of approximation=0.05, standardized root mean square residual=0.01). BCEs total scores were negatively correlated with CTQ total scores and all its dimensions among college students ( r =-0.53 to -0.13, all P < 0.01). Hierarchical regression analysis showed that BCEs moderated the effect of CTQ on suicidal behavior, with a statistically significant interaction ( β=-0.11, t=-4.01, P <0.01). Conclusion The Chinese revised version of the BCEs Scale demonstrates good reliability and validity, and it is suitable for assessing BCEs among Chinese college students.

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Juvenile dermatomyositis(JDM) is the most common idiopathic inflammatory myopathy in children, characterized by symmetric proximal muscle weakness and characteristic skin rashes, which may be accompanied by involvement of major organs. Aberrant upregulation of the interferon signaling pathway has been confirmed as the core pathological mechanism of JDM, and is closely associated with mitochondrial dysfunction, peripheral blood immune cell dysregulation, muscle damage and repair dysfunction, as well as cutaneous and pulmonary lesions. Interferon-related biomarkers and interferon scores can serve as evaluation indicators for disease activity. Type Ⅰ interferon inhibitors and Janus kinase inhibitors provide new therapeutic options for refractory JDM. This review systematically summarizes the role of the interferon signaling pathway in the pathogenesis of JDM and its potential therapeutic targets, aiming to provide references for the mechanistic research and precise treatment of JDM.

Objective Jiangtang Tiaozhi Formula(JTTZF)is highly effective in improving glycolipid metabolism disorder.However,its exact mechanism of action has not been fully elucidated.This study aims to explore the potential targets and mechanisms of JTTZF in improving glycolipid metabolism disorder through network pharmacology,molecular docking,molecular dynamics simulations,and experimental validation.Methods Glycolipid metabolism disorder-related targets were obtained from the GeneCards database,while the relevant action targets of the main active ingredients of JTTZF were obtained from the CTD and SwissTargetPrediction databases.Protein-protein interaction(PPI)networks were constructed using STRING and Cytoscape.After selecting the potential key targets,Gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were conducted through the Metascape database,and a network map of"herb-active ingredient-target-pathway"was constructed.Molecular docking was carried out using AutoDock vina and PyMOL software to verify the correlation between the main components of JTTZF and the core targets.Molecular dynamics simulation was conducted for optimal core protein-compound complexes obtained by molecular docking.A mouse glycolipid metabolism disorder model was established,and the results of network pharmacology were verified by in vivo experiments.Results Topological analysis of the PPI network revealed ten core targets,including TNF,CTNNB1,AKT1,NF-κB1,ESR1,FN1,TP53,IL-1β,IL-6,and EGFR.GO functional enrichment analysis showed that these targets were mainly related to signal transduction and transcriptional regulation.KEGG pathway analysis showed that these targets were related to lipid and atherosclerosis pathway.Molecular docking results reported that the core active ingredient of JTTZF has a certain binding affinity with AKT1,FN1,and IL-6.Molecular dynamics simulations revealed good binding ability between lovastatin,coptisine,salvianolic acid B,and AKT1.Animal experiments showed that JTTZF may reduce blood glucose and blood lipid levels and improve glycolipid metabolism disorder by down-regulating the expression of AKT1,TP53,and inflammatory regulators in lipid and atherosclerotic pathway,inhibiting the expression of FN1 and EGFR,and increasing the expression of CTNNB1 and ESR1.Conclusion JTTZF participates in the regulation of lipid and atherosclerotic pathway,and comprehensively regulates glucose and lipid metabolism and improves atherosclerotic lesions,thereby preventing and treating the occurrence and development of glycolipid metabolism disorder and its complications.

Objective To explore the influencing factors of immune-associated thyroid dysfunction caused by sintilimab treatment in solid tumors and construct a prediction model.Methods Medical records of patients diagnosed with solid tumors and treated with sintilimab at Peking University People's Hospital(Xizhimen Campus,Tongzhou Campus,Shijiazhuang Campus)from January 2023 to September 2024 were collected to explore the influencing factors that caused immune-related thyroid dysfunction using univariate and multifactorial binary logistic regression analyses and to establish a prediction model.The predictive effect of the model was assessed using the receiver operating characteristic(ROC)curve.Results A total of 120 patients were included,and 33 presented with immune-related thyroid dysfunction.Multifactorial logistic regression analysis revealed that thyroid-stimulating hormone(TSH)[OR=2.470,95%CI=(1.279,4.771)]and treatment cycles[OR=1.298,95%CI=(1.117,1.509)]were independent risk factors for the occurrence of immune-associated thyroid dysfunction,and the difference was statistically significant(P＜0.05).The area under the ROC curve was(0.897±0.043)[95%CI=(0.813,0.981)],the Yoden index was 0.703,and the model prediction accuracy was 86.5%.Conclusion The risk of immune-related thyroid dysfunction caused by sintilimab is high,and TSH and treatment cycle are the influencing factors,and the constructed model has certain predictive value and is of reference significance.

Objective To analyze residents' awareness,usage,and influencing factors regarding smart shared Tradition-al Chinese Medicine(TCM)pharmacies in Nanchang City.Methods Descriptive analysis,one-way ANOVA,chi-square tests,and hierarchical regression analysis were employed to determine the awareness,usage,and influencing factors of shared TCM pharmacies.Results The survey revealed that the primary channel for disseminating information about smart shared TCM phar-macies is the internet.The functions of TCM decoction and delivery services were widely recognized among respondents.Conven-ience was a key advantage considered by users.Most respondents had not used smart shared TCM pharmacy services,while over half primarily utilized TCM decoction,delivery,and prescription review services.Willingness to pay for decoction and delivery services was moderate,and drug quality emerged as a critical issue for the development of smart shared TCM pharmacies.Statisti-cally significant differences in awareness were observed across age,education level,residential area,household registration type,occupation,and household income(P＜0.05).Age,occupation,residential area,and household registration significantly influ-enced usage frequency(P＜0.05).The primary drivers of usage behavior were the functional value of smart shared TCM phar-macies rather than demographic characteristics.Conclusion It is recommended that the government,hospitals,and enterprises collaborate to establish a service framework for smart shared TCM pharmacies that ensures"visible quality,reliable delivery,and affordable pricing".

Objective To explore the research status,hotspots and trends in the field of traditional Chinese medicine in the treatment of dysfunctional uterine bleeding(DUB).Methods Relevant literatures on the treatment of DUB with traditional Chinese medicine were retrieved from China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform and VIP.Multi-dimensional visual analysis was conducted on the annual number of published papers,authors and institutions,and keywords using CiteSpace software.Results A total of 1649 literatures were included according to the inclusion and exclusion criteria.The top three authors in terms of the number of published articles are You Zhaoling,Ma Huirong,and Wu Yanan.Shandong University of Traditional Chinese Medicine is the institution that has published the most papers.The research on the treatment of DUB with traditional Chinese medicine mainly focuses on the integrated treatment of traditional Chinese and Western medicine,perimenopause,adolescence,therapeutic effect observation,Guchong decoction,sex hormones,and so on.Conclusion The research on the treatment of DUB with traditional Chinese medicine mainly focuses on the application of traditional Chinese medicine prescriptions,clinical observation and therapeutic effect indicators,etc.Subsequently,in-depth exploration of new traditional Chinese medical therapies and new observation indicators is still needed.In the future,the observation of new microscopic indicators and the research on pathological mechanisms may be potential research hotspots and directions.

Objective To investigate the effects of extracellular vesicles(EVs)derived from synovial fluid of rheumatoid arthritis(RA)patients on angiogenesis of human umbilical vein endothelial cells,and to preliminarily explore the underlying mechanisms.Methods Synovial fluid samples of knee joint were collected from 20 patients with RA and 20 patients with osteoarthritis(OA)in this study.EVs were purified using ultracentrifugation.The morphology and size of EVs were observed by transmission electron microscopy and nanoparticle tracking analysis.CD9,CD63,cytochrome c(Cyt-c),vascular endothelial growth factor(VEGF),lysyl oxidase(LOX),matrix metalloproteinase 2(MMP2),tumour necrosis factor alpha(TNF-α),transforming growth factor beta1(TGF-β1)in EVs were detected using Western blot.Human umbilical vein endothelial cells(HUVEC)were treated with the EVs.The growth,migration and angiogenesis of HUVEC were observed by CCK8 assay,TranswellTM chamber assay,scratch test and matrigel angiogenesis assay,respectively.The effect of EVs on the PI3K/AKT pathway in HUVEC was assessed using Western blot.Results Both EVs from RA synovial fluid(RA-EVs)and OA synovial fluid(OA-EVs)were cup-shaped,mainly between 30-400 nm in diameter,expressing CD63 and CD9,but not Cyt-c.RA-EVs carried more VEGF,LOX,MMP2,TNF-α and TGF-β1 than OA-EVs.Compared with the OA-EVs intervention,RA-EVs significantly promoted the proliferation,migration,and angiogenesis of HUVECs,as well as upregulated PI3K/AKT phosphorylation.The inhibitor of PI3K suppressed angiogenesis induced by EVs.Conclusion EVs in synovial fluid of RA carried more cytokines and enzymes that related angiogenesis and inflammation.These EVs exert their pro-angiogenic effects by activating the PI3K/AKT pathway,then contributing to the pathological progression of RA.

Abstract Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder. However, its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms. As an emerging interdisciplinary field, phenomics integrates multi-dimensional data including genome, transcriptome, proteome, metabolome, and microbiome. When combined with TCM's holistic philosophy, it forms TCM phenomics, providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine. Taking glycolipid metabolism disorder as an example, this paper explores the application of TCM phenomics in glycolipid metabolism disorder. By analyzing molecular characteristics of related syndromes, TCM phenomics identifies differentially expressed genes, metabolites, and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes. Simultaneously, it deciphers the multi-target regulatory networks of herbal formulas, demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways, improvement of gut microbiota imbalance, and suppression of inflammatory responses. Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.

Objective Jiangtang Tiaozhi Formula(JTTZF)is highly effective in improving glycolipid metabolism disorder.However,its exact mechanism of action has not been fully elucidated.This study aims to explore the potential targets and mechanisms of JTTZF in improving glycolipid metabolism disorder through network pharmacology,molecular docking,molecular dynamics simulations,and experimental validation.Methods Glycolipid metabolism disorder-related targets were obtained from the GeneCards database,while the relevant action targets of the main active ingredients of JTTZF were obtained from the CTD and SwissTargetPrediction databases.Protein-protein interaction(PPI)networks were constructed using STRING and Cytoscape.After selecting the potential key targets,Gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis were conducted through the Metascape database,and a network map of"herb-active ingredient-target-pathway"was constructed.Molecular docking was carried out using AutoDock vina and PyMOL software to verify the correlation between the main components of JTTZF and the core targets.Molecular dynamics simulation was conducted for optimal core protein-compound complexes obtained by molecular docking.A mouse glycolipid metabolism disorder model was established,and the results of network pharmacology were verified by in vivo experiments.Results Topological analysis of the PPI network revealed ten core targets,including TNF,CTNNB1,AKT1,NF-κB1,ESR1,FN1,TP53,IL-1β,IL-6,and EGFR.GO functional enrichment analysis showed that these targets were mainly related to signal transduction and transcriptional regulation.KEGG pathway analysis showed that these targets were related to lipid and atherosclerosis pathway.Molecular docking results reported that the core active ingredient of JTTZF has a certain binding affinity with AKT1,FN1,and IL-6.Molecular dynamics simulations revealed good binding ability between lovastatin,coptisine,salvianolic acid B,and AKT1.Animal experiments showed that JTTZF may reduce blood glucose and blood lipid levels and improve glycolipid metabolism disorder by down-regulating the expression of AKT1,TP53,and inflammatory regulators in lipid and atherosclerotic pathway,inhibiting the expression of FN1 and EGFR,and increasing the expression of CTNNB1 and ESR1.Conclusion JTTZF participates in the regulation of lipid and atherosclerotic pathway,and comprehensively regulates glucose and lipid metabolism and improves atherosclerotic lesions,thereby preventing and treating the occurrence and development of glycolipid metabolism disorder and its complications.