Thyroid hormone receptors (THRs), a crucial nuclear receptor protein family, primarily consist of two categories: α receptors and β receptors. Among them, THRβ is the primary subtype of thyroid hormone that confers benefits to the liver. In the last two decades, there have been efforts to develop THRβ agonists that selectively yield beneficial effects on the liver, such as lowering triglycerides and cholesterol, while reducing adverse effects on the heart, muscle, and bone. This paper systematically reviews strategies to enhance the safety of THRβ agonists for the treatment of MASH, with a focus on improving the selectivity of THRα and increasing the distribution of the drug in the liver. Additionally, we explore the potential application of this target in addressing other medical indications.

Objective: To assess the association between the metabolic score for insulin resistance index (METS-IR) and overactive bladder (OAB) in the US population，so as to explore the potential of METS-IR as a predictive tool for OAB risk and to provide insights for early screening and intervention strategies. Methods: Based on the data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018，a cross-sectional design was employed，and multivariate logistic regression models were used to analyze the association between METS-IR and OAB. METS-IR was analyzed both as a continuous variable and categorized into quartiles. To further validate the association between METS-IR and OAB across diverse populations，subgroup analyses were conducted in participants stratified by clinical characteristics. Smooth curve fitting was employed to test the linearity of the METS-IR-OAB relationship. Results: Elevated METS-IR was associated with an increased risk of OAB (P<0.001)，and this positive correlation remained stable when METS-IR was categorized into quartiles (P<0.001). Subgroup analyses revealed that the association between METS-IR and OAB was more pronounced in females，participants younger than 55 years，and non-diabetic individuals (P<0.05). Furthermore，smooth curve fitting confirmed a linear positive correlation between METS-IR and OAB，with this linear relationship observed in both diabetic and non-diabetic groups. Conclusion: This study，based on the NHANES 2005-2018 database，found a linear positive correlation between METS-IR and OAB.

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.

Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

Objective:To explore the risk assessment and intervention effect of WeChat platform-based health management in high-risk populations for cardiovascular diseases (CVD).Methods:It was a randomized controlled trial. A total of 480 individuals at high risk of CVD who underwent physical examinations at the Health Management Center of Sichuan Provincial People′s Hospital from February to April in 2023 were selected using a simple random sampling method. The participants were randomly assigned to either the intervention group or the control group (240 cases each) using a random number table. The control group received routine follow-up and health assessments, while the intervention group received an additional 12-month WeChat-based health management intervention. During the study, 28 participants were lost to follow-up, resulting in 227 participants in the intervention group and 225 in the control group being included in the final analysis. The 10-year CVD risk was assessed using the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) model, and psychological status was evaluated using the self-rating anxiety Scale (SAS) and the self-rating depression scale (SDS). Changes in health behaviors, adherence, life style, blood pressure, metabolic indicators, psychological status, and CVD risk were compared before and after the intervention in both groups to evaluate the intervention′s effectiveness.Results:Among the 452 high-risk participants analyzed, the intervention group included 227 individuals [mean age: (53.16±10.81) years; 117 males and 110 females], and the control group included 225 individuals [mean age: (52.60±10.25) years; 118 males and 107 females]. There was no significant differences in baseline characteristics between the two groups (all P>0.05). After 12 months of intervention, the intervention group showed significant improvements in medication adherence, intake of vegetables and fruits, exercise duration, sleep time, proportion of regular lifestyle, and high density lipoprotein cholesterol (HDL-C) levels, all of which were all higher than both the baseline values and those in the control group (all P<0.05). Conversely, the intervention group showed reductions in medical visit rate, smoking and drinking rates, high-salt diet, meat intake, body mass index (BMI), fasting blood glucose, systolic and diastolic blood pressure, low density lipoprotein cholesterol (LDL-C), total cholesterol, triglycerides, SAS and SDS scores when compared to the baseline values and those in the control group (all P<0.05). The proportions of participants with 10-year CVD risk levels of 10%-<20%, 20%-<30%, 30%-<40%, and ≥40% significantly decreased in the intervention group after intervention (18.94% vs 36.12%, 12.78% vs 26.43%, 7.93% vs 19.82%, 3.96% vs 17.63%), and were also significantly lower than those in the control group (18.94% vs 40.45%, 12.78% vs 30.67%, 7.93% vs 22.67%, 3.96% vs 16.89%) (all P<0.001). After 12 months, the intervention group showed significantly higher improvement rates in both medication adherence and non-medication-related compliance behaviors, including smoking, alcohol consumption, meat and salt intake, fruit and vegetable intake, exercise duration, sleep duration, and lifestyle regularity, when compared to those in the control group (16.74% vs -3.11%, 14.54% vs -0.89%, 16.74% vs -0.44%, 57.71% vs 8.44%, 21.15% vs -0.44%, 56.83% vs -6.67%, 51.54% vs -3.56%, 60.79% vs -7.11%, 26.87% vs -13.78%, 22.91% vs -1.78%) (all P<0.001). Conclusion:The WeChat platform-based health management intervention can effectively improve the behavioral patterns, compliance, control of CVD risk factors and psychological status of high-risk populations for CVD, and help reduce their 10-year risk of CVD.

Objective:To analyze the genetic characteristics of varicella-zoster virus（VZV）in Anhui province from 2022 to 2023.Methods:Vesicle fluid and throat swab samples were collected from suspected varicella patients in Anhui province during 2022—2023. Fresh vesicle fluid samples were selected for VZV isolation，and real-time PCR was used for VZV nucleic acid detection. For positive samples，the region containing five single nucleotide polymorphism（SNP）sites in the open reading frame 22（ORF22）fragment was amplified，and PCR products were sequenced to identify viral genotypes. Reference sequences of VZV genotypes were downloaded from GenBank，sequence alignment and phylogenetic tree analysis were performed using Sequencher and MEGA5.0 software. Additionally，four SNP sites in ORF38 and ORF62 fragments were detected to distinguish vaccine strains from wild strains.Results:Among 96 samples from suspected varicella cases，55 of 61 vesicle fluid samples and 21 of 35 throat swab samples were positive for VZV nucleic acid. The virus isolation rate for vesicle fluid samples was 14.75%. Genetic sequencing was successful for 51 strains，all of which were wild strains belonging to the clade 2 genetic branch. Compared with the reference strain of clade 2，the nucleotide and amino acid homologies of the ORF22 fragment were 99.46%~100% and 98.39%~100%，respectively. One strain（2023VZVCZ45）exhibited an A→G mutation at site 37916.Conclusion:The prevalent VZV strains detected in Anhui province during 2022—2023 were all wild strains of clade 2，with no vaccine-associated cases identified.

Rodent models play a crucial role in research on human periodontal diseases,providing key evidence for investigation into the pathological mechanisms of periodontal bone defects.Relevant research in the field involves gene expression,inflammatory regulation mechanisms,host-microbial interactions,as well as disease resolution and healing processes.Research methodology in the field falls under 2 categories-periodontal inflammation models and surgical defect models.The former simulates periodontal defects by inducing periodontal diseases,while the latter constructs clinically simulated periodontal defects through surgical removal of periodontal tissue.However,the currently available animal models of periodontitis face challenges in simultaneously capturing the disease complexity,tracking dynamic repair processes,and meeting translational needs.Herein,we reviewed and summarized the methods and characteristics of periodontal disease modeling in recent years.We proposed the establishment of a multimodal assessment framework integrating technologies such as spatial transcriptomics,single-cell sequencing,and in vivo fluorescence imaging,which may serve as a critical pathway for overcoming existing research challenges.

Rapid cycle deliberate practice (RCDP) has emerged as an effective teaching method for enhancing skill proficiency. This study introduces the characteristics and theoretical foundations of RCDP, explains key points in instructional design and implementation strategies, and provides a comprehensive analysis of its application in medical education. Additionally, the potential value and development prospects of RCDP in simulation-based medical education in China are explored. This study aims to provide theoretical support and practical guidance for the further promotion and deeper implementation of the RCDP teaching method in China.

Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

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.