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.

Objective: To develop and compare multiple machine learning models for identifying high-risk college students exhibiting phubbing behavior and to determine key predictive factors, so as to provide evidence for precise screening and early intervention strategies. Methods: In December 2025, 1 828 undergraduate students, selected from three universities in Wuhan by using convenience sampling method, were surveyed via online qustionnaire for sociodemographic characteristics, phubbing behavior, family cohesion index, mature happiness, fear of negative evaluation, multidimensional state boredom, and psychological vulnerability. Four machine learning algorithms, including multilayer perceptron (MLP), extreme gradient booting (XGBoost), K-nearest neighbors (KNN), and gradient boosting decision tree (GBDT), were applied. The dataset was randomly split into a training set and a test set at a ratio of 7∶3. Model performance was evaluated using accuracy, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The best performing model was further interpreted using shapley additive explanation (SHAP) analysis to assess feature importance. Results: In the training set,955 participants were classified as having low level phubbing behavior, and 325 participants were classified as having high level phubbing behavior. Significant differences were observed in psychological vulnerability, multidimensional state boredom, family cohesion index, and mature happiness between groups ( Z =-10.29, -11.72, -8.17, -7.83, all P <0.05). Significant differences were also found in the detection rate of high level phubbing behavior according to family residence, family status, left behind experience,interpersonal relationships,exercise frequency,physical flexibility,and sleep status ( χ 2=12.22, 38.93, 16.90, 44.64, 58.17, 82.14, 37.89, all P <0.05). Among the four machine learning models (MLP, KNN, GBDT, XGBoost),all showed good discrimination ability, with XGBoost performing best (accuracy 79%, recall 71%, F1-score=0.70, AUC=0.78), while GBDT achieved the highest precision (78%). Feature importance analysis showed that multidimensional state boredom was the most important predictor of phubbing behavior, followed by psychological vulnerability, family cohesion, mature happiness, and fear of negative evaluation. SHAP analysis indicated that multidimensional state boredom, psychological vulnerability, and fear of negative evaluation had positive risk effects, while family cohesion and hedonic well being had protective effects for high risk of phubbing behavior. Conclusions Multidimensional state boredom is the core predictor of phubbing behavior among college students. The XGBoost model demonstrates good predictive performance and can provide a reference for identifying high risk individuals and implementing targeted interventions.

ObjectiveThis paper aims to verify the therapeutic effect of Cranial Painkiller pills' extract powder prepared by the new process on the rat's trigeminal neuralgia model caused by infraorbital injection of Talci Pulvis， evaluate its potential clinical application value， and compare the therapeutic effect with that of Cranial Painkiller granules， so as to provide data support for the application of the Cranial Painkiller pills' extract powder and precise treatment. MethodsThe rat's trigeminal neuralgia model was constructed by infraorbital injection of Talci Pulvis， and the rats were randomly divided into the normal group， model group， carbamazepine group （60 mg·kg^-1）， Cranial Painkiller granules group （2.70 g·kg^-1）， and low， medium， and high dosage groups of Cranial Painkiller pills' extract powder （1.35， 2.70， 5.40 g·kg^-1） according to the basal mechanical pain thresholds， and there were 10 rats in each group. The drug was administered by gavage to each group 2 h after modeling， and distilled water was given by gavage to the normal and model groups under the same conditions once a day for 10 d. Von Frey brushes were used to measure mechanical pain thresholds in rats. Hematoxylin-eosin （HE） staining was used to detect pathological changes in the trigeminal ganglion， and enzyme-linked immunosorbent assay （ELISA） was used to detect the inflammatory factors interleukin-1 （IL-1）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， and tumor necrosis factor-α （TNF-α） levels in rat serum， as well as neuropeptide substance P （SP） and β-endorphin （β-EP） levels in rat brain tissue. Western blot technique was used to detect the levels of NLRP3， ASC， Caspase-1， and OTULIN proteins in rat brain tissue. ResultsCompared with the normal group， the pain threshold of rats in the model group showed a continuous significant decrease （P<0.01）. The pathological damage of brain tissue was significant （P<0.01）， and the inflammatory levels of IL-1， IL-6， IL-8， and TNF-α in serum were significantly elevated （P<0.01）. The level of the SP in the brain tissue was significantly elevated （P<0.01）， and the level of β-EP was significantly reduced （P<0.01）， while the level of OTULIN was significantly reduced， and NLRP3， ASC， and Caspase-1 protein levels were significantly elevated （P<0.01）. After administration of the drug， compared with the model group， the pain threshold of each dose group of the Cranial Painkiller pills' extract powder and the Cranial Painkiller granules group significantly increased （P<0.01）. The inflammatory levels of IL-1， IL-6， IL-8， and TNF-α and SP levels significantly decreased （P<0.01）， and the β-EP levels were significantly elevated （P<0.01）， while the levels of OTULIN protein were significantly elevated （P<0.05， P<0.01）， and the levels of NLRP3， ASC proteins were decreased （P<0.01）in high dose Cranial Painkiller pills' extract powder. Meanwhile， compared with those in the model group， the trigeminal ganglion lesions of rats in the Cranial Painkiller pills' extract powder and Cranial Painkiller granules groups showed different degrees of improvement （P<0.05， P<0.01）. ConclusionThe Cranial Painkiller pills' extract powder has significant therapeutic effects on the rat model of trigeminal neuralgia induced by infraorbital injection of Talci Pulvis， and its mechanism is related to the improvement of OTULIN-regulated neuroinflammation.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

ObjectiveTo explore the effects of the Tibetan medicine Sanwei Doukoutang （SWDK） on cognitive dysfunction in mice suffering from Alzheimer's disease （AD） and its related mechanism. MethodsFifty SPF 5 × FAD mice were randomly divided into model group， total ginsenoside group（0.04 g·kg^-1）， high-， medium-， and low-dose groups of SWDK （32.60， 16.30， 8.15 g·kg^-1）， with 10 mice in each group， and ten wild-type mice of the same age were used as the normal group， male and female in 1∶1. Gavage administration was performed once daily for 8 weeks. The Morris water maze test and contextual fear memory experiment were used to observe learning and memory function. Hematoxylin-eosin （HE） staining was utilized to observe the changes in the pathomorphology of brain tissue in mice. The levels of synaptophysin （SYP） and postsynaptic dense substance 95 （PSD95） in mice serum were detected by enzyme-linked immunosorbent assay （ELISA）. The positive expression of brain-derived neurotrophic factor（BDNF） in the dentate gyrus （DG） region of mouse brain tissue was observed by immunohistochemistry （IHC）. The protein levels of BDNF， Wnt family member 3A（Wnt3a）， and β-catenin were detected in the hippocampus of mice by Western blot. ResultsCompared with the normal group of mice， the model group of mice had significantly more complex swimming routes and lower swimming speed （P<0.01）， significantly lower percentage of time spent in the target quadrant （P<0.01）， and a significantly lower percentage of freezing time （P<0.05）. The number of neurons in the hippocampal region of mice was obviously reduced and unevenly arranged. The levels of SYP and PSD95（P<0.01） in the serum of mice were reduced， and the positive expression of BDNF in the DG region of the brain tissue of mice was reduced. The levels of hippocampal BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice were obviously reduced （P<0.05， P<0.01）. Compared with the model group， the mice in the SWDK group and the total ginsenoside group had significantly shorter swimming routes， the high- and medium- dose SWDK groups significantly higher swimming speeds （P<0.01）， significantly higher percentage of time spent in the target quadrant （P<0.01）， obviously higher percentage of Freezing time （P<0.05）， and obviously more neurons in the hippocampal region of the mice with tighter arrangement. The mice had elevated levels of serum SYP （P<0.05， P<0.01）， PSD95 （P<0.01）， increased BDNF-positive cells in the DG region of brain tissue， and obviously elevated levels of BDNF， Wnt3a， and β-catenin proteins in the hippocampus of mice （P<0.05， P<0.01）. ConclusionSWDK can significantly improve the cognitive dysfunction of AD mice， and its mechanism may be related to regulating the Wnt/β-catenin signaling pathway， which promotes BDNF expression and thereby enhances synaptic plasticity， allowing neuronal signaling to be restored.