Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was constructed based on Chinese Materia Medica, including 567 commonly used CMMs characterized by four properties, five flavors, and meridian tropism. Then, 49 CMMs derived from 10 prescriptions for Zangdu (脏毒, pathogenic toxins) recorded in Waike Zhengzong (《外科正宗》, Orthodox Manual of External Medicine) and Yangke Xinde Ji (《疡科心得集》, Collected Insights on Ulcer Medicine) were selected as the experimental dataset. Five semantic representation methods—One-Hot, Word2Vec, Bidirectional Encoder Representations from Transformers (BERT), Beijing Academy of Artificial Intelligence General Embedding (BGE), and Qwen—were applied to encode CMM property information into vector representations. Subsequently, t-distributed Stochastic Neighbor Embedding (t-SNE) was used for nonlinear dimensionality reduction on high-dimensional semantic vectors, followed by k-means clustering (k = 7). Clustering performance was evaluated using the Silhouette Score (SS), Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). Results: The Qwen-based clustering method, CMM-EmbedCluster, achieved the highest SS (0.607 4) and CHI (158.057 2), as well as the lowest DBI (0.499 5), indicating improved cluster separation and compactness compared with other methods. Visualization of CMM clustering results showed that the clusters were well separated in the low-dimensional space, with strong inter-cluster discrimination and high intra-cluster functional consistency. Further interpretability analysis of CMM clustering results revealed stable structural differences among clusters in terms of four properties, five flavors, and meridian tropism, forming functional partitions consistent with CMM property theory. Conclusion CMM-EmbedCluster utilizes an LLM to achieve semantic-level representation and clustering of CMMs within the framework of CMM property theory, providing support for exploring potential compatibility patterns among CMMs from the perspective of CMM property semantics.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

Objective:To explore the predictive value of cervical length(CL)measured at 16-24 weeks of ges-tation for spontaneous preterm birth in twin pregnancies.Methods:A retrospective study was conducted on 1001 twin pregnancy cases,including 569 cases in the spontaneous preterm birth group and 432 cases in the term birth group.Univariate and multivariate Logistic regression analyses were used to identify factors associated with spon-taneous preterm birth.The predictive value of CL for spontaneous preterm birth was analyzed by the receiver op-erating characteristic(ROC)curve.Results:At 16-24 weeks of pregnancy,the CL in the spontaneous preterm birth group(3.460±0.866 cm)was significantly shorter than that in the term birth group(3.711±0.589 cm),and the difference was statistically significant(P=0.005).There were statistically significant differences in the cervical fun-neling and its morphology between the term birth group and the spontaneous preterm birth group(P<0.05).Multivariate Logistic regression analysis showed that monochorionicity(aOR 0.161,95％ CI 0.074-0.351) and CL at 16-24 weeks of pregnancy(aOR 0.655,95％ CI 0.496-0.864) were influencing factors for spontaneous preterm birth(P <0.05).ROC curve analysis indicated that a CL cutoff of 3.045 cm at 16-24 weeks of pregnancy predicted spontaneous preterm birth before 34 weeks,with a sensitivity of 90.2％ ,specificity of 64.9％ ,and an area under the curve of 0.650.Conclusions:Measurement of CL at 16-24 weeks of pregnancy is a potential predictor of spontaneous preterm birth in twin pregnancies.In addition,when establishing a prediction model for spontaneous preterm birth,future research should also consider cervical funnel morphology.

Objective:To explore the mediating role of dietary health beliefs in the relationship between family functioning and the frequency of sugar-containing food intake among adolescents with dental caries, in order to clarify the underlying mechanism through which dietary health beliefs influence caries-related dietary behaviors via family factors.Methods:Using convenience sampling method, we selected adolescents patients diagnosed with dental caries and their parents who visited the Affiliated Stomatological Hospital of Nanjing Medical University from July to September 2023 as the research subjects. Conducted a cross-sectional survey using a general information questionnaire, Family Functioning Scale, Adolescent Dietary Health Belief Scale, and Sugar-Sweetened Diet Intake Frequency Scale. Mediation analysis was conducted.Results:A total of 475 questionnaires were distributed, and 460 valid responses were obtained, yielding a valid response rate of 96.84%. Among the 460 adolescent patients, 306 were female and 154 were male, with a mean age of (13.42 ± 1.17) years old. The mother's age was (40.28 ± 4.24) years old, and the father's age was (42.12 ± 4.48) years old. The score for the frequency of sugar-containing food intake was 15.95 ± 5.34, the dietary health belief score was 75.57 ± 18.62, and the family functioning score was 174.24 ± 25.39. Family functioning was positively correlated with dietary health beliefs ( r = 0.428, P<0.05), and negatively correlated with the frequency of sugar-containing food intake ( r = -0.225, P<0.05). Dietary health beliefs were negatively correlated with the frequency of sugar-containing food intake ( r = -0.332, P<0.05). The mediating effect of dietary health beliefs on the relationship between family functioning and sugar-containing food intake frequency was -0.332, accounting for 43.92% of the total effect. Conclusions:Dietary health beliefs play a partial mediating role between family function and the frequency of sugary diet intake. It is suggested that family function construction should be strengthened to improve adolescents' health beliefs and reduce the incidence of dental caries.

With the widespread application of drug-eluting stent(DES)technology and rapid advancement in stent bioengineering,the efficacy and safety of percutaneous coronary intervention(PCI)have significantly improved.Howev-er,the incidence of in-stent restenosis(ISR)remains a critical issue,with approximately 1％to 2％of patients requiring repeat revascularization annually.Given the global implantation of millions of DES each year,ISR has emerged as a major clinical challenge demanding urgent resolution.The pathological mechanisms underlying DES-ISR are complex and heter-ogeneous,and with continuous progress in intracoronary imaging techniques,these mechanisms and classifications have been further elucidated.Concurrently,therapeutic tools and strategies for ISR are undergoing ongoing development and optimization.This review summarizes recent research progress and achievements in the definition,classification,patho-logical mechanisms,imaging characteristics,and treatment approaches related to DES-ISR.

Objective:To explore the ability of patients with obstructive sleep apnea (OSA) to recognize facial happy and sad expressions and their correlation with cognitive function.Methods:Convenience sampling was used to select 45 OSA patients in the Geriatric Respiratory Sleep Department of the First Affiliated Hospital of Zhengzhou University from February to September 2023 as the observation group, while 45 volunteers without OSA were recruited as the control group. General Information Questionnaire, Montreal Cognitive Assessment (MoCA), Chinese Facial Affective Picture System (CFAPS), and Facial Expression Suite were used to investigate the study participants. E-prime 2.0 software was used to measure the reaction time and subjective intensity of participants' recognition of happy and sad expressions.Results:A total of 90 questionnaires were distributed, 90 valid questionnaires were recovered, and the effective recovery rate was 100.00%. The reaction time to happy expressions was shorter than that to sad expressions in control group ( P<0.05). The OSA group had a shorter reaction time to sad expressions than the control group ( P<0.05), and the reaction intensity scores of sad expressions of all intensities were higher than those of the control group ( P<0.05) .Intensity scores of sad expressions is negatively correlated with MoCA scores in OSA group. Conclusions:Patients with OSA have a high sensitivity to expressions of sadness, as evidenced by short reaction times, high perceived reaction intensity, and a correlation with cognitive function. OSA patients may misunderstand their social partners' intentions and emotional states, leading to social barriers.

Objective:To investigate the association between adiponectin-related copy number variation (CNV) region (CNVR) and gestational diabetes mellitus (GDM).Methods:Pregnant women who had prenatal screening in Anqing Municipal Hospital, Anhui Province, from February 2018 to December 2020 were surveyed for baseline information collection, and blood samples were collected. The outcome information was obtained by post pregnancy follow-up. Latex-enhanced immunoturbidimetry and ASA-CHIA chip were used to detect serum adiponectin levels and CNV of pregnant women, respectively. After genotyping, CNV data were processed with software PennCNV 1.0.5 following standard quality control procedure. CNVR were identified and integrated by using software R 4.3.3. Then the associations between CNVR and adiponectin was evaluated, and gene annotation and over-representation analysis were conducted. The log-binomial regression model was used to adjust relevant covariates and analyze the association between adiponectin-related CNVR and GDM.Results:The detection rate of GDM was 9.54% (176/1 845) in the pregnant women. The genotyping information of 1 840 people (99.73%) passed quality evaluation. A total of 33 878 CNVs were identified, and 1 449 CNVRs were obtained after integration. After the false discovery rate method correction, CNVR_132 (CHR2: 47611743-47635062), CNVR_254 (CHR3: 10182703-10183872), CNVR_691 (CHR7: 150637053-150834539) and CNVR_1101 (CHR14: 104248431-104830620) were correlated with adiponectin levels (all P<0.05). Over- representation analysis showed that the molecular function of ribonucleotide binding [Gene Ontology (GO): 0032553] was significantly enriched based on the GO database. The log-binomial regression model, adjusting age, pre-pregnancy BMI, history of miscarriage, smoking history, and family history of diabetes, indicated that CNVR_132 (CHR2: 47611743-47635062) and CNVR_1101 (CHR14: 104248431-104830620) were not statistically associated with the risk for GDM (both P>0.05). However, CNVR_254 (CHR3: 10182703-10183872, a RR=1.83, 95% CI: 1.15-2.91) and CNVR_691 (CHR7: 150637053-150834539, a RR=1.73, 95% CI: 1.23-2.43) might be associated with an increased risk for GDM (all P<0.05). Conclusion:Adiponectin-related CNVR_254 (CHR3: 10182703-10183872) and CNVR_691 (CHR7: 150637053-150834539) might be risk factors for the incidence of GDM.

Objective The causal relationship between endometriosis(EMs)and 15 trace elements including copper,calcium,carotene,folic acid,iron,magnesium,potassium,selenium,vitamin A,vitamin B12,vitamin B6,vitamin C,vitamin D,vitamin E and zinc was analyzed by double sample Mendelian randomization(MR).Methods Multiple trace elements were used as exposure factors,and the incidence risk of EMs was used as the outcome factor for two-sample MR analysis.The data were sourced from the publicly available integrative epidemiology unit open Genome-Wide Association Studies database and Finnish Genome Research Project database.Five Mendelian randomization analysis methods were employed to investigate the causal relationship between EMs and trace elements.Additionally,sensitivity analysis was carried out to evaluate the influence of heterogeneity and horizontal pleiotropy on the results of the MR analysis.Results The impact of trace elements on various types of EMs varies.The results of the inverse variance weighted(IVW)method indicated that trace element calcium(OR=1.465,95％CI:1.094-1.962)and vitamin B6(OR=1.580,95％CI:1.146-2.178)might be risk factors for ovarian EMs.Vitamin B6(OR=0.203,95％CI:0.044-0.939)may be a protective factor for tubal EMs.The above research results were not affected by heterogeneity and horizontal pleiotropy(P＞0.05).This study did not find a causal relationship between other trace elements and EMs.Conclusion The trace elements calcium and vitamin B6 predicted by genetics may play a regulatory role in the development of EMs.