ObjectiveTo analyze the epidemiological characteristics of latent tuberculosis infection (LTBI) among newly detained populations in eastern China, to identify high-risk groups, and to provide a scientific basis for formulating tuberculosis prevention and control strategies in the prison system. MethodsA cross-sectional study was conducted among the newly admitted detainees in two prisons in eastern China in 2022. Data on demographic characteristics, behavioral risk factors and previous disease history of the research subjects were collected through a structured questionnaire survey. The LTBI status of the detainees was determined using the QuantiFERON-TB Gold In-Tube (QFT-GIT) method. Lasso regression was used to screen variables, followed by multivariate logistic regression analysis to investigate the influencing factors of LTBI. ResultsA total of 305 detainees were included in the study. The median age of detainees was 35 (31, 43) years. The study population was predominantly male (67.21%), of Han ethnicity (95.41%), had a junior or senior high school education (59.34%), and was unemployed (31.80%). A history of smoking was reported by 52.79% of participants, while 57.70% reported no alcohol consumption. The majority had no history of hypertension (85.90%), diabetes mellitus (93.77%), human immunodeficiency virus (HIV) infection (97.38%), familial genetic diseases (95.08%), surgery or trauma (73.77%), drug use (92.79%), or hepatitis (93.77%). The LTBI rate was 14.75%. After comparing the demographic characteristics of LTBI and non-infected groups, it was found that smoking history (χ²=7.40, P=0.025), drug use history (χ²=5.49, P=0.019), and HIV infection (χ²=8.12, P=0.004) were statistically correlated with LTBI infection. The results of multivariate logistic regression analyses showed that smoking [adjusted odds ratio (aOR)=4.08, 95%CI: 1.60‒10.42, P=0.003], HIV infection (aOR=11.57, 95%CI: 2.50‒53.51, P=0.002) and drug use (aOR=3.04, 95%CI: 1.02‒9.09, P=0.046) were risk factors for LTBI. ConclusionThe LTBI rate among newly detainees in two prisons in eastern China is slightly lower than that among long-term detainees. Early screening and intervention should be implemented for newly detainees, with particular attention focused on high-risk groups such as those with a history of smoking, HIV infection, or drug use.

The second victim phenomenon represents a pervasive yet long-overlooked occupational trauma in medical adverse events. Since the introduction of the "second victim" concept, international research has accumulated substantial theoretical and practical experience. However, China started late in this field and still faces multiple challenges, including cognitive biases, institutional deficiencies, and resource constraints. This article systematically reviews the conceptual evolution of the second victim, the phased model of psychological recovery, and its multidimensional impacts, while thoroughly analyzing the unique contributing factors of this phenomenon within China's healthcare context. On this basis, and drawing on international experience, we propose a "three-tier precision support system" tailored to China's local circumstances—encompassing universal prevention, selective intervention, and targeted treatment—and construct implementation pathways and safeguarding mechanisms across three dimensions: policy support, institutional implementation, and individual capacity building. This framework is intended to serve as a reference for establishing a localized support system that balances patient safety with the well-being of healthcare professionals.

OBJECTIVE To investigate the current status of contamination with carbapenem-resistant gram-negative bacteria in environment of intensive care units(ICU)of tertiary hospitals in Shanghai and find out the potential contamination sources so as to provide bases for prevention and control of multidrug-resistant organisms infec-tions in the ICUs.METHODS The surroundings of the ICU patients detected with CRGNB and environmental ob-jects surfaces in public area were sampled by mSuperCARBA chromogenic media from Dec.2024 to Jan.2025,the strains were isolated,and the targeted strains were identified by matrix-assisted laser desorption/ionization time-of-flight(MALDI-TOF)mass spectrometer.RESULTS A total of 653 samples were collected in the survey,76 of which were positive for bacterial culture,60 were detected with CRGNB,and the isolation rate of CRGNB was 9.19％.The isolation rate of CRGNB was 53.40％in the water-source group,0.91％in the non-water-source group,and there was significant difference(x2=286.450,P＜0.001).The result of whole genome sequencing for 17 strains of CRKP showed that ST11 and ST15 were the two major types of multilocus typing(MT),respective-ly carrying 2-12 types of drug resistance genes.CONCLUSIONS The CRGNB strains are detected in some environ-mental sites of the ICUs of 15 tertiary hospitals in Shanghai,and the isolation rate of CRKP is highest among them.The colonization rate of CRGNB is relatively low on the highly frequent-contact object surfaces of the ICUs,however,sink drain holes poses a risk of hospital-acquired CRGNB infections transmissions.Additionally,the ba-sins and towels of the CRGNB patients are hard to be thoroughly cleaned,disinfected and dried,resulting in a high contamination rate.

miR-101-3p is an evolutionarily conserved non-coding RNA that has shown aberrant expression and regulatory functios in various cardiovascular diseases(CVDs)in recent years.It participates in key pathological processes including post-infarction myocardial remodeling,myocardial fibrosis in heart failure and the development of atherosclerosis by modulating pathways such as apoptosis,autophagy and metabolism.In addition,it exhibits immunoregulatory potential in myocardium injury related to systemic diseases.This review summarizes the recent advances in understanding the role of miR-101-3p in CVDs,focusing on its expression dynamics and regulatory mechanisms in different disease models.It further elaborates on the biological effects of miR-101-3p in cardiovascular pathology and explores its potential as a diagnostic biomarker and therapeutic target.miR-101-3p is expected to provide novel insights for early detection and targeted intervention of cardiovascular diseases.

Objective To screen the mutations of ABCC8 gene in probands of maturity-onset diabetes of the young pedigrees,and investigate it sgenetic and clinical characteristics.Methods Whole exome sequencing were performed to screen ABCC8 mutations in 56 MODY probands who were admitted to Department of Endocrinology and Metabolism,Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from July 2021 to December 2023.The mutations were verified by Sanger sequencing,and all participants were genotyped.Clinical phenotypes of the mutation carriers were compared with non-DM controls within the families.The identified mutations were evaluated by bioinformatic softwires.Then the pharmacogenomic characteristics of the mutation carriers were analyzed.Results Two heterozygous mutations D655V and R825Q were identified in two MODY probands and their families respectively,and the D655V was a novel mutation.Bioinformatics studies showed that both mutations were deleterious and pathogenic.In comparison with non-DM controls in the two families,mutation carriers with diabetes exhibited significantly lower fasting insulin/fasting plasma glucose,two-hour postprandial insulin/two-hour postprandial insulin plasma glucose,homeostatic model assessment-β(P<0.05).Treatment with oral hypoglycemic agents such as metformin or insulin in these mutation carriers resulted in a moderate reduction in plasma glucose levels.However,switching to targeted Sulfonylurea's(SUs)proved to be more effective.Conclusions In this study,the prevalence of MODY12 is 3.6%in these MODY pedigrees.The remarkable hypoglycemic efficacy of SUs suggests that both D655V and R825Q were activating mutations of ABCC8,and maybe the cause of MODY12 characterized by impaired insulin secretion.

Rheumatoid arthritis(RA)is a common autoimmune disease with synovitis as core pathological manifestation,with strong injury and high disability rate,which can not be cured completely at present.Recent studies have shown that tumor necro-sis factor receptor-related factor 6(TRAF6),as a ubiquitin ligase E3,plays a key role in autoimmune diseases and inflammatory diseases through a variety of pathways.This article reviews structure,function,ubiquitin regulation of TRAF6 and research progress of pathogenesis of RA.

miR-101-3p is an evolutionarily conserved non-coding RNA that has shown aberrant expression and regulatory functios in various cardiovascular diseases(CVDs)in recent years.It participates in key pathological processes including post-infarction myocardial remodeling,myocardial fibrosis in heart failure and the development of atherosclerosis by modulating pathways such as apoptosis,autophagy and metabolism.In addition,it exhibits immunoregulatory potential in myocardium injury related to systemic diseases.This review summarizes the recent advances in understanding the role of miR-101-3p in CVDs,focusing on its expression dynamics and regulatory mechanisms in different disease models.It further elaborates on the biological effects of miR-101-3p in cardiovascular pathology and explores its potential as a diagnostic biomarker and therapeutic target.miR-101-3p is expected to provide novel insights for early detection and targeted intervention of cardiovascular diseases.

OBJECTIVE To investigate the current status of contamination with carbapenem-resistant gram-negative bacteria in environment of intensive care units(ICU)of tertiary hospitals in Shanghai and find out the potential contamination sources so as to provide bases for prevention and control of multidrug-resistant organisms infec-tions in the ICUs.METHODS The surroundings of the ICU patients detected with CRGNB and environmental ob-jects surfaces in public area were sampled by mSuperCARBA chromogenic media from Dec.2024 to Jan.2025,the strains were isolated,and the targeted strains were identified by matrix-assisted laser desorption/ionization time-of-flight(MALDI-TOF)mass spectrometer.RESULTS A total of 653 samples were collected in the survey,76 of which were positive for bacterial culture,60 were detected with CRGNB,and the isolation rate of CRGNB was 9.19％.The isolation rate of CRGNB was 53.40％in the water-source group,0.91％in the non-water-source group,and there was significant difference(x2=286.450,P＜0.001).The result of whole genome sequencing for 17 strains of CRKP showed that ST11 and ST15 were the two major types of multilocus typing(MT),respective-ly carrying 2-12 types of drug resistance genes.CONCLUSIONS The CRGNB strains are detected in some environ-mental sites of the ICUs of 15 tertiary hospitals in Shanghai,and the isolation rate of CRKP is highest among them.The colonization rate of CRGNB is relatively low on the highly frequent-contact object surfaces of the ICUs,however,sink drain holes poses a risk of hospital-acquired CRGNB infections transmissions.Additionally,the ba-sins and towels of the CRGNB patients are hard to be thoroughly cleaned,disinfected and dried,resulting in a high contamination rate.

AIM:To investigate the mechanism by which muscle segment homeobox 2(Msx2)regulates the differentiation of outer enamel epithelial cells in the enamel organ.METHODS:Tissue paraffin sections were prepared and subjected to hematoxylin-eosin(HE)staining to analyze the effect of Msx2 deficiency on the differentiation status of epithelial cells in the enamel organ at the morphological level.At the ultrastructural level,alterations in cell structure were analyzed.The intermediate steps mediating cell differentiation were identified.Transcriptome sequencing analysis was performed to validate the molecular mechanisms underlying the observed phenomena.RESULTS:Msx2 deficiency was innovatively found to induce severe squamous epithelial hyperplasia in outer enamel epithelial cells of enamel organ,accompanied by dynamic restructuring of the cell cytoskeleton and alterations in cell adhesion at the ultrastructure level.As a transcriptional repressor,the loss of Msx2 expression results in significant increases(P＜0.05 or P＜0.01)in the mRNA expression levels of integrin β2(Itgβ2),ItgαM,Itgα4,Rac family small GTPase 2(Rac2),Rac/Cdc42 guanine nucleo-tide exchange factor 6(Arhgef6)and protein tyrosine phosphatase receptor type C(Ptprc).CONCLUSION:Msx2 regu-lates cytoskeleton structure and cell-cell interaction through the Rho GTPases signaling pathway,thereby influencing the differentiation state of outer enamel epithelial cells.This study reveals the mechanism through which Msx2 regulates the differentiation of outer enamel epithelial cells,providing a theoretical foundation for the prevention and treatment of enam-el-related clinical dental diseases.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.