ObjectiveTo observe the therapeutic effect of Erchentang on depression in obese mice and explore the therapeutic mechanism. MethodsC57BL/6J mice were randomized into the control， model， metformin （0.65 g·kg^-1）， and low-， medium-， and high-dose （3.35， 6.7， and 13.4 g·kg^-1， respectively） Erchentang groups. Gavage was initiated simultaneously with modeling and continued for 28 days. The therapeutic effects of Erchentang were evaluated through behavioral tests， liver and brain indices， liver function， lipid indicators， and histopathological changes in the liver and brain tissue. RNA-seq technology was used to conduct transcriptomic analysis of mouse liver tissue， and differentially expressed genes were screened and subjected to Kyoto Encyclopedia of Genes and Genomes （KEGG） analysis. Key genes were further verified by Western blot and Real-time polymerase chain reaction（Real-time PCR）. ResultsBehavioral tests， liver function， lipid indicators， and histopathological changes in the liver and brain tissue all demonstrated that Erchentang had therapeutic effects on depression in obese mice. KEGG pathway enrichment analysis of transcriptomic data indicated that Erchentang treated depression in obese mice mainly through the peroxisome proliferator-activated receptor （PPAR） signaling pathway. Western blot and Real-time PCR results showed that compared with the model group， the low-， medium-， and high-dose Erchentang groups exhibited downregulated expression of fatty acid-binding protein （FABP） 1 （P<0.01） and upregulated expression of acyl-CoA oxidase （ACOX） 1， PPARα， cholesterol 7α-hydroxylase （CYP7A） 1， and phosphoenolpyruvate carboxy kinase （PCK） 1 （P<0.05） in the liver tissue. ConclusionErchentang exerts therapeutic effects on obesity-associated depression by regulating the PPAR signaling pathway and the expression of related genes FABP1， ACOX1， PPARα， CYP7A1， and PCK1.

Objective: To assess the presence of vector-borne pathogens [including Zika virus (ZIKV), dengue virus (DENV), chikungunya virus (CHIKV), and Plasmodium (PLAS)] among voluntary blood donors in Wenshan Zhuang and Miao Autonomous Prefecture (referred to as Wenshan), so as to provide a basis for formulating blood safety-related strategies. Methods: Blood samples from voluntary blood donors in Wenshan from June to August 2022 to 2024 were selected. Real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to test 20 426 samples for ZIKV RNA, DENV RNA, and CHIKV RNA; and 19 765 samples were tested for PLAS DNA. Results: All 20 426 samples tested for ZIKV RNA, DENV RNA, and CHIKV RNA were negative; similarly, all 19 765 samples tested for PLAS DNA were negative. Conclusion: The risk of ZIKV, DENV, CHIKV, and PLAS infection among voluntary blood donors in Wenshan is relatively low. Routine surveillance for these pathogens as endemic diseases is not currently warranted. It is recommended to adjust the screening strategy based on the dynamic situation of local epidemiology control and prevention.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

OBJECTIVE T o explore the value of targeted next-generation sequencing(t-NGS)in diagnosis of respir-atory tract pathogens through meta-analysis so as to provide reference for clinical application.METHODS PubMed database,Web of Science database,Wanfang database,CNKI database and Sinomed database were retrieved,and the time period of retrieval ranged from Jan.2010 to May 2024.The literatures were screened out based on the es-tablished standards.The quality was assessed by QU ADAS-2,the risk of bias graph was drawn by Revman 5.4,and the statistical analysis was performed by Stata 16.0.RESULTS A total of 9 literatures were included in the study.The result of meta-analysis showed that the heterogeneity test Q for sensitivity was 268.21,P＜0.01,I2=97.02％,with the heterogeneity test Q for specificity 210.04,P＜0.01,I2=96.19％,the combined sensitivity 0.88(95％CI:0.62 to 0.97),combined specificity 0.68(95％CI:0.41 to 0.86),combined positive likelihood ratio 2.72(95％CI:1.44 to 5.15),combined negative likelihood ratio 0.18(95％CI:0.06 to 0.53),combined diagno-sis score 2.74(95％CI:1.68 to 3.80),and combined diagnostic odds ratio 15.44(95％CI:5.34 to 44.66).The area under synthesize receiver operating characteristic(SROC)curve(AUC)was 0.85(95％CI:0.82 to 0.88).The result of Deeks funnel plot showed that P was 0.99,indicating that there was no obvious publication bias.CONCLUSIONS The sensitivity of tNGS is high in detection of the pathogens causing acute respiratory tract infection,the specificity needs to be improved,but its comprehensive ability is satisfactory.It has certain val-ue in early clinical diagnosis.

Objective:To explore the risk factors for bronchiolitis obliterans (BO) after Mycoplasma pneumoniae bronchiolitis in children. Methods:A retrospective cohort study was conducted on 122 children diagnosed with Mycoplasma pneumoniae bronchiolitis in Department No.2 of Respiratory Medicine of Beijing Children′s Hospital, Capital Medical University, from March 2017 to December 2024. Clinical data, including general information, clinical manifestations, imaging findings, laboratory tests, and outcomes, were analyzed. Patients were divided into BO and non-BO groups based on the presence of BO. Differences between groups were assessed using Mann-Whitney U test, χ2 test, or Fisher exact test. Logistic regression and receiver operating characteristic (ROC) curve analysis were employed to identify risk factors and evaluate predictive performance. Results:Among 122 children (73 males, 49 females), the age at onset was 5.0 (2.4, 7.1) years. The BO group included 21 patients, and the non-BO group 101. The BO group exhibited significantly longer durations of persistent high fever and higher peak levels of C-reactive protein, lactate dehydrogenase, and D-dimer compared to the non-BO group (9 (7, 11) vs. 4 (2, 6) d, 19 (7, 35) vs. 10 (7, 18) mg/L, 438 (337, 498) vs. 315 (274, 351) U/L, 0.36 (0.27, 0.91) vs. 0.21 (0.15, 0.29) mg/L, U=295.00, 743.50, 463.50, 470.50, all P<0.05). The BO group also had higher proportions of resting oxygen saturation <0.95 on room air (100.0% (21/21) vs. 43.6% (44/101)), inspiratory retractions (57.1% (12/21) vs. 18.8% (19/101), χ2=11.53), and adenovirus co-infection (38.1% (8/21) vs. 5.0% (5/101)) (all P<0.05). Multivariate Logistic regression identified prolonged high fever ( OR=1.83, 95% CI 1.31-2.58, P<0.001), inspiratory retractions ( OR=10.48, 95% CI 1.72-63.85, P=0.011), and adenovirus co-infection ( OR=42.47, 95% CI 4.04-446.87, P=0.002) as independent risk factors for BO. ROC curve analysis revealed that a fever duration cutoff of 7.5 days predicted BO with 0.71 sensitivity and 0.92 specificity. Conclusions:Prolonged high fever (≥7.5 days), inspiratory retractions, and adenovirus co-infection are significant predictors of BO after Mycoplasma pneumoniae bronchiolitis in children, which are helpful for early clinical identification.

Driven by the"Big Health"concept,chronic disease management has gradually shifted from single-treatment approaches to comprehensive health maintenance.This paper analyzes the challenges in the development of community-based re-habilitation for chronic diseases in China,including workforce shortages,policy support gaps,funding constraints,and health ed-ucation deficiencies.Implementation pathways are proposed,such as strengthening rehabilitation teams,improving community re-habilitation management systems,diversifying funding sources,and promoting health education.Future directions include con-structing a multimodal collaborative"hospital-community-pharmacy"network,advancing integrated healthcare and prevention models,emphasizing scientific multi-morbidity management,and adopting AI-driven medical technologies.These strategies aim to optimize service models,enhance the overall effectiveness of community-based chronic disease rehabilitation,and support the implementation of the Healthy China initiative.

OBJECTIVES: This study aimed to investigate the perception of dental outpatient care quality from multiple perspectives of administrators, physicians, nurses, and patients and propose nursing care quality evaluation indices that are consistent with the clinical reality to provide reference for the construction of a scientific, systematic, and comprehensive dental outpatient care quality evaluation system. METHODS: A total of 39 interviewees, including 7 administrators, 11 doctors, 11 nurses, and 10 patients, were selected for semi-structured in-depth interviews in five regionally representative tertiary-level A stomatological specialty hospitals nationwide during January-April 2024 by using a multistage sampling method. Colaizzi 7-step analysis was used to analyze and summarize the interview data. Themes were extracted on the basis of the Structure-Process-Outcome (SPO) three-dimensional quality assessment model. RESULTS: Five main themes and 15 secondary themes were extracted from three quality dimensions: structure, process, and result. The related topics of structural quality were as follows: disinfection and isolation norms, equipment and consumable management, nursing manpower ratio and nurse education structure, and emergency capability. The related topics of process quality were as follows: pre-diagnosis risk assessment, patient triage and guidance, communication and attitude, health education, humanistic care, continuous care, specialty operation, and four-hand operation. The related topics of result quality were as follows: satisfaction, adverse event management and analysis, effective complaints and disputes. CONCLUSIONS Structure quality is the foundation, process quality is the core, and result quality is the key in the evaluation of the quality of oral outpatient care. The standardization of disinfection and isolation, equipment and consumable management, allocation of reasonable nursing manpower and post capacity, implementation of high-quality nursing services, and improvement of the quality and satisfaction of medical cooperation are necessary guarantees to ensure the quality of oral outpatient care.
Humans ; Quality of Health Care ; Ambulatory Care/standards* ; Dental Care/standards* ; Outpatients