ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

AIM:To investigate the expression levels of serum sirtuin 6(Sirt6)and nicotinamide adenine dinucleotide phosphate oxidase 2(NOX2)in patients with primary glaucoma and their correlation with the severity of the disease. METHODS:This study is a cross-sectional study. Patients diagnosed with primary glaucoma at the hospital from August 2022 to June 2025 were enrolled and divided into mild-to-moderate and severe groups based on the mean deviation of visual field defects, along with healthy individuals as a control group. Clinical data were collected, and serum levels of Sirt6 and NOX2 were measured using enzyme-linked immunosorbent assay(ELISA). Correlations between serum Sirt6 and NOX2 levels and clinical parameters were analyzed. Multivariate Logistic regression was used to identify factors influencing disease severity, and the diagnostic efficacy of serum Sirt6 and NOX2 levels was evaluated using receiver operating characteristic(ROC)curves. RESULTS:A total of 120 patients with primary glaucoma(58 males, 62 females, mean age 60.08±8.19 y)and 100 controls(46 males, 56 females, mean age 60.23±8.67 y)were enrolled in this study. There were no statistically significant differences in sex or age between the two groups(both P>0.05). The intraocular pressure and serum NOX2 expression level in the primary glaucoma group were significantly higher than those in the control group, while the Sirt6 level was significantly lower than in the control group(all P<0.001). The AUC values of serum Sirt6 and NOX2 in the diagnosis of primary glaucoma were 0.733 and 0.770, respectively, with optimal cutoff values of 2.35 and 4.25 ng/mL, respectively. The AUC of the combined diagnosis of the two was 0.901, and its efficacy was obviously better than that of a single indicator(Zcombination-Sirt6=5.317, Zcombination-NOX2=4.720, P<0.001).The severe group had lower serum Sirt6 expression levels(P<0.05), and higher NOX2 expression levels(P<0.05)than the mild-to-moderate group. Serum Sirt6 expression levels were prominently negatively correlated with mean intraocular pressure(r=-0.354, P<0.05); NOX2 expression levels were prominently positively correlated with mean intraocular pressure(r=0.240, P<0.05). Multivariate Logistic regression analysis showed that a decrease in serum Sirt6 expression levels(OR=0.229, 95%CI: 0.090-0.581), an increase in serum NOX2 expression levels(OR=2.649, 95%CI: 1.658-4.232), an increase in mean intraocular pressure(OR=1.278, 95%CI: 1.118-1.462)which were risk factors for the progression to severe glaucoma. The AUC values of serums Sirt6 and NOX2 expression levels in diagnosing severe primary glaucoma were 0.794 and 0.800, respectively, the AUC, sensitivity, and specificity of the combined diagnosis of the two were 0.916, 80.00%, and 89.33%, respectively, and the combined diagnostic efficacy was better than that of a single indicator(Zcombination-Sirt6=2.627, P=0.009, Zcombination-NOX2=2.762, P=0.006). CONCLUSION:The decreased serum Sirt6 and increased NOX2 expression levels in patients with primary glaucoma are significantly correlated with disease severity, and the combined detection demonstrates good diagnostic value for primary glaucoma and its severity.

Objective: To explore the interrelationships between mental vulnerability, cognitive emotion regulation strategies, and positive psychological capital in medical postgraduates, so as to provide precise intervention targets for mental health services in universities. Methods: From April to June 2025, a convenience sampling method was used to select 1 461 medical postgraduates from three colleges in Hubei Province. Participants were assessed using the Mental Vulnerability Questionnaire (MVQ), the Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C) and the Positive Psychological Capital Questionnaire (PPQ). The network analysis model was constructed using a Gaussian graphical model. Results: The network analysis revealed that the edge connection between somatic symptoms and mental symptoms was the strongest, followed by the connection between refocus on planning and positive reappraisal within cognitive emotion regulation, with edge weights of 0.69 and 0.59, respectively. Interpersonal problems within psychological vulnerability exhibited the highest expected influence( EI =1.27), serving as the core node of the network. Rumination within cognitive emotion regulation demonstrated the highest bridge expected influence( BEI =0.33), playing a critical connecting role among psychological vulnerability, cognitive emotion regulation, and positive psychological capital. Conclusion In the mental health network of medical postgraduates, mental vulnerability, cognitive emotion regulation, and positive psychological capital interact through their respective key dimensions, jointly affect overall mental health.

Liver cirrhosis is the terminal stage of various chronic liver diseases， with the main clinical manifestation of portal hypertension， which can lead to spontaneous portosystemic shunt （SPSS）. SPSS is very common in clinical practice and is closely associated with the prognosis of patients. This article summarizes the recent studies in the clinical significance of cirrhotic portal hypertension with SPSS， the controversies in studies， and the current status and future prospects and challenges of treatment， in order to provide a reference for the standardized diagnosis and treatment of portal hypertension.

Background Metals and metalloids in fine particulate matter (PM_2.5) may cause damage to the respiratory and circulatory systems of the human body, and long-term exposure is prone to causing chronic poisoning, cancer, and other adverse effects. Objective To assess the distribution characteristics of metals and metalloids in outdoor PM_2.5 in a southern city of China, conduct source apportionment, and evaluate the associated health risks, thereby providing theoretical support for further pollution control measures. Methods PM_2.5 samples were collected in districts A, B, and C of a southern China city, and the concentrations of 17 metals and metalloids were detected by inductively coupled plasma-mass spectrometry (ICP-MS). Pollution sources were assessed through enrichment factor and principal components analysis, and the main pollution sources were quantified using absolute principal component scores-multivariate linear regression (APCS-MLR). Health risks were evaluated based on the Technical guide for environmental health risk assessment of chemical exposure (WS/T777—2021). Results The ambient air PM_2.5 concentrations in the city were higher in winter and spring, and lower in summer and autumn. The annual average concentrations of ambient PM_2.5 in districts A, B, and C were 36.7, 31.9, and 24.4 μg·m⁻³, respectively. The ambient PM_2.5 levels in districts B and C were below the second-grade limit set by the Ambient air quality standards (GB 3095—2012). The enrichment factors of cadmium (Cd), aluminum (Al), and antimony (Sb) were greater than 10, those of copper (Cu), lead (Pb), arsenic (As), nickel (Ni), mercury (Hg), and molybdenum (Mo) fell between 1 and 10, and those of manganese (Mn), vanadium (V), chromium (Cr), cobalt (Co), barium (Ba), beryllium (Be), and uranium (U) were below or equal to 1. The comprehensive evaluation of source analysis showed that the main pollution sources in districts A and C and the whole city were coal-burning. In district B, the main pollution source was also coal combustion, followed by industrial process sources and dust sources. The carcinogenic risks of As and Cr were between 1×10⁻⁶ and 1×10⁻⁴. However, the hazard quotients for 15 metals and metalloids in terms of non-carcinogenic risk were below 1. Conclusion Cr and As in the atmospheric PM_2.5 of the city present a certain risk of cancer and should be paid attention to. In addition, preventive control measures should be taken against relevant pollution sources such as industrial emission, dust, and coal burning.

BACKGROUND:In recent years,the application of exosomes of periodontal ligament stem cells in periodontal tissue regeneration engineering has been widely studied,but the effect of exosomes on periodontal ligament stem cells derived from inflammatory environment is still unclear.OBJECTIVE:To investigate the effects of exosomes secreted by periodontal ligament stem cells from healthy and inflammatory environments on the proliferation and differentiation of periodontal ligament stem cells from inflammatory environments.METHODS:Human periodontal ligament stem cells from healthy and inflammatory tissues were isolated and cultured by enzyme digestion method.Exosomes were extracted from two kinds of periodontal ligament stem cells using ultracentrifugation.Passage 3 periodontal ligament stem cells derived from inflammatory tissue were selected and cultured in three groups.Cells in the blank group were cultured routinely.The healthy exosome group was added with exosomes secreted by peripheral ligament stem cells derived from healthy tissue.The inflammatory exosome group was added with exosomes secreted by human periodontal ligament stem cells derived from inflammatory tissue.Cell proliferation and cloning were detected.The expression of alkaline phosphatase,the formation of mineralized nodules,and the expression of mRNA and protein of genes related to osteogenesis were detected under osteogenic differentiation.RESULTS AND CONCLUSION:(1) CCK-8 assay and clonal formation test showed that compared with the blank group,two kinds of exosomes could promote the proliferation and colony formation of periodontal ligament stem cells from inflammatory tissue (P<0.05),and the effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(2) Alkaline phosphatase and alizarin red staining showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase and the formation of mineralized nodules in periodontal ligament stem cells from inflammatory tissue,and the promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group.RT-PCR and western blot assay showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase,RUNX2,and type Ⅰ collagen mRNA and protein in periodontal ligament stem cells from inflammatory tissue (P<0.05).The promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(3) The results showed that exosomes secreted by human periodontal ligament stem cells could promote the proliferation and osteogenic differentiation of periodontal ligament stem cells derived from inflammatory environments,and the promoting effect of exosomes secreted by human periodontal ligament stem cells derived from healthy tissues was better than that from human periodontal ligament stem cells derived from inflammatory tissues.

Objective:To characterize the vaginal flora of pregnant women during the second trimester using full-length 16S rRNA sequencing.Methods:A total of 142 pregnant women were systematically sampled from a pregnancy cohort. Vaginal swabs were collected for full-length 16S rRNA gene sequencing，and bioinformatics analysis was performed to characterize the vaginal microbiota and identify associated influencing factors.Results:Among the 142 pregnant women，the most frequently detected species were Lactobacillus iners（83.10%，118/142）and Lactobacillus crispatus（49.30%，70/142）. The majority of samples（90.85%，129/142）were classified as Lactobacillus-dominant vagitypes，with the Lactobacillus iners vagitype accounting for 48.59%（69/142）and the Lactobacillus crispatus vagitype accounting for 38.73%（55/142）. The vaginal microbiota was clustered into five community state types（CSTs）：Ⅰa，Ⅰb，Ⅲa，Ⅲb，and Ⅳ. The most prevalent CSTs were Lactobacillus iners-dominated CST-Ⅲ（51.41%，73/142）and Lactobacillus crispatus-dominated CST-Ⅰ（24.65%，35/142）. No samples were classified as CST-Ⅱ or CST-Ⅴ. A significant negative correlation was observed between Lactobacill and vaginosis-associated bacteria. Age，alcohol consumption，smoking，and vaginal treatments showed significant associations or trends toward significance with various Alpha diversity indices. Vaginal douching was associated with CST clustering，while obstetric history（primiparity，previous miscarriage history）was associated with vagitype classification. However，no significant associations were identified between maternal baseline characteristics and Beta diversity indices. Conclusions:Full-length 16S rRNA gene sequencing reveals that the vaginal microbiota of pregnant women is dominated by Lactobacillus iners and Lactobacillus crispatus. Maternal age，lifestyle factors such as smoking and alcohol consumption，and obstetric history are significantly associated with variations in vaginal microbiota composition.