Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

Objective This study used The Cancer Genome Atlas (TCGA) database to investigate the methylation levels of PCDHGB7 in lung adenocarcinoma tissues and analyze its association with clinical pathological features of lung adenocarcinoma, and its prognostic predictive value. Methods Methylation data of PCDHGB7 from 473 lung adenocarcinoma tissues and 32 normal tissues in the TCGA database were derived and analyzed to assess between-group variance and determine the correlation of methylation levels with clinical pathological features and overall survival. Results PCDHGB7 exhibited significantly higher methylation levels in lung adenocarcinoma tissues than in normal tissues (P<0.001), demonstrating a strong discriminative ability for lung adenocarcinoma (AUC=0.926, P<0.001). The methylation level was strongly associated with gender (P=0.047) and T stage (P=0.013). The critical prognostic sites of PCDHGB7 were identified through univariate Cox regression analysis. We found significant differences in overall survival between patient groups with low or high methylation levels (P=0.0099). Conclusion PCDHGB7 shows significantly elevated methylation in lung adenocarcinoma, which correlates with tumor malignancy and possesses certain prognostic predictive potential.

BackgroundAnxiety exhibits a rising prevalence among college students. Investigating the mechanisms through which family function relates to anxiety and examining the moderating role of emotion regulation strategies within this context hold substantial implications for promoting mental health among college students. However， existing research has not sufficiently elucidated the complex interplay among family function， emotion regulation， and anxiety among college students. Further research is warranted to clarify the underlying mechanisms linking family function to anxiety outcomes and to examine the potential moderating role of emotion regulation strategies in this causal pathway. ObjectiveTo explore the relationship between family function and anxiety among lower-grade college students， and to validate the moderating role of emotion regulation strategies in this relationship， thereby offering evidence-based insights for anxiety reduction interventions in this population. MethodsIn March 2023， a total of 1 980 first- and second-year students from a comprehensive university in Shanghai were selected using the cluster sampling method. A self-designed demographic questionnaire， the Emotion Regulation Questionnaire （ERQ）， the Family Adaptability and Cohesion Evaluation Scale Ⅱ-Chinese Version （FACES Ⅱ-CV）， and the Symptom Checklist-90 （SCL-90） were utilized for assessment. Pearson correlation analysis and Spearman correlation analysis were employed to test the correlations of each variable. Hierarchical linear regression analysis was conducted to certify the moderating role of emotion regulation strategies in the relationship between family function and anxiety. ResultsCompared with female students， male students scored significantly lower on ERQ cognitive reappraisal （t=-5.793， P<0.01） but significantly higher on ERQ expressive suppression （t=8.359， P<0.01）. For lower-grade college students， scores on adaptability and cohesion subscales of FACES Ⅱ-CV showed a positive association with cognitive reappraisal in ERQ （r=0.251， 0.302， P<0.01）， while simultaneously displaying negative correlations with both expressive suppression in ERQ （r=-0.113， -0.154， P<0.01） and anxiety in SCL-90 （r=-0.243， -0.202， P<0.01）. Notably， anxiety scores in SCL-90 were inversely related to cognitive reappraisal scores in ERQ （r=-0.159， P<0.01） but directly associated with expressive suppression scores in ERQ （r=0.171， P<0.01）. Hierarchical regression analysis indicated that cognitive reappraisal significantly moderated the relationship between family cohesion and anxiety （β=-0.421， P<0.01）. ConclusionThe cognitive reappraisal strategy serves as a moderator in the relationship between family cohesion and anxiety， potentially mitigating the escalation of anxiety levels associated with family dysfunction. ［Funded by Science and Technology Development Fund of Shanghai Pudong New Area （number， PKJ2023-Y21）］

Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

AIM:The aim of this study was to explore the effects of Yiqi-Yangyin-Quyu prescription(YP)on skeletal muscle injury and related metabolic disorders in mice with Sj?gren syndrome(SS),and to clarify the role of hy-droxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit beta(Hadhb)in mediating the effect of YP on skeletal muscle in SS.METHODS:The SS mice underwent YP treatment for 8 weeks.The morphological changes of the submandibular gland and muscle tissue were examined using hematoxylin-eosin staining.The mitochondrial status in mus-cle tissue was assessed through transmission electron microscopy.Additionally,combined transcriptome and proteome se-quencing was conducted on skeletal muscle samples.The omics sequencing results were validated by RT-qPCR.Immuno-fluorescence was used to confirm the levels of key proteins involved in the P53/peroxisome proliferator-activated receptor gamma(PPARG)signaling pathway.Immunohistochemistry and Western blot were employed to determine the levels of Hadhb key targets.RESULTS:Combined transcriptome and proteome analysis identified 1 523 differentially expressed genes(DEGs)and 182 differentially expressed proteins(DEPs)between the muscle tissue of SS mice(model group)and that of control animals(ICR group),12 of which showed co-differential expression at both transcriptomic and proteomic levels.Compared with model group,1 232 genes and 432 proteins were found to be differentially expressed in the muscle tissue of the mice in YP group.Among these,23 exhibited co-differential expression at both mRNA and protein levels.Gene Ontology(GO)analysis showed that the DEGs and DEPs between ICR and model groups were mainly involved in ener-gy metabolism and fatty acid oxidation,while the DEGs and DEPs between YP and model groups were primarily associated with sarcomere tissue and actin structure.Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis indi-cated that the DEGs and DEPs between ICR and model groups and between model and YP groups were enriched in the com-plement and coagulation cascade and lipid and pyruvate metabolism.The RT-qPCR validation results were consistent with those of the transcriptome analysis.Furthermore,the protein expression of the tumor suppressor P53 was significantly de-creased in YP group compared with model group,whereas that of PPARG was significantly increased.Western blot analy-sis showed that compared with ICR group,Hadhb protein expression was significantly decreased in model group,whereas the opposite trend was detected in YP group.CONCLUSION:The SS-related skeletal muscle damage is closely related to amino acid metabolism disorder and fatty acid degradation.Treatment with YP modulates innate immune defenses,lipid metabolism and energy metabolism in SS,and Hadhb is the key target of YP in SS-related skeletal muscle.

Aim To investigate the effect of p-AMPK activity on autophagy in different subtypes of MDA-MB-231(triple-negative breast cancer cells)and MCF-7(estrogen receptor-positive cells)and its regulatory mechanism.Methods MDA-MB-231 cells were trea-ted with EBSS,Baf-A1,and EBSS+Baf-A1 for four hours,and MCF-7 cells for eight hours.The effects of autophagy on cell proliferation and apoptosis were ob-served,mitochondrial morphology was examined,and the expression of autophagy markers LC3B,P62,LAMP1,TOM20,AMPK,p-AMPK,ULK1,and Bec-lin1/VPS34 proteins was detected.The autophagy pathway was validated by inhibiting AMPK activity.Results Breast cancer cells underwent autophagy af-ter starvation induction(EBSS),with inconsistent au-tophagy processes observed in different subtypes of breast cancer cells.Autophagy inhibited cell prolifera-tion.In MDA-MB-231 cells,autophagy led to an in-crease in p-AMPK levels and a decrease in ULK1 lev-els,initiating autophagy through p-AMPK activation of ULK1.In MCF-7 cells,both p-AMPK and ULK1 levels decreased after autophagy,suggesting that autophagy might not be mediated by p-AMPK activation.Conclu-sions MDA-MB-231 cells primarily initiate autophagy by directly activating ULK1 by p-AMPK,independent of the MTOR pathway.In MCF-7 cells autophagy might be triggered by inhibiting MTOR through AMPK activity or directly activating MTOR through other up-stream factors.Regulating p-AMPK activity based on the autophagy pathways in different cell subtypes could enable more precise targeting and treatment of different types of breast cancer.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.

Objective:To evaluate the effect of value orientation brief therapy(VBT)combined with selective serotonin reuptake inhibitors(SSRIs)on clinical symptoms,rumination,decision-making ability,and cognitive func-tion in patients with mild to moderate depression.Methods:Eighty patients meeting the DSM-5 diagnostic criteria for mild to moderate depression were randomly assigned to either a medication(SSRIs)group(36 completed)or a VBT combined group(38 completed)for a 6-week intervention.Baseline and post-intervention assessments includ-ed the Hamilton Depression Scale(HAMD),Hamilton Anxious Scale(HAMA),Ruminative Response Scale-Chi-nese Version(RRS-CV),Iowa Gambling Test(IGT),number of eye fixation(NEF),responsive search score(RSS)in exploratory eye trajectory movement were used to evaluate patients'anxiety and depression symptoms,ru-minative thinking,decision-making function,and cognitive function.Results:The VBT combined group showed sig-nificantly better therapeutic effects than the medication group(P＜0.05).Compared to baseline and the medication group,the VBT combined group had significantly lower post-intervention scores in HAMD,HAMA,symptom rumi-nation,introspective reflection,compulsive meditation,and RRS-CV total scores after intervention(Ps＜0.05),and significantly higher scores in IGT net profit scores,NEF,and RSS scores(Ps＜0.05).Compared with the medica-tion group,the VBT combined group demonstrated a greater reduction in HAMD,HAMA,symptom rumination,in-trospective reflection,compulsive meditation,and RRS-CV total scores before and after intervention(Ps＜0.05),and a larger increase in IGT net profit scores,NEF,and RSS scores(Ps＜0.05).Conclusion:VBT combined with SSRIs effectively improves the symptoms of depression,anxiety,decision-making ability,rumination thinking,and cognitive function in patients with mild to moderate depression.

Objective To translate Evidence-Informed Decision-Making Competence Measure for Chinese nurses and test its validity and reliability.Methods A research group was set up to use the Brislin translation model to translate the original scale into Chinese,and the back translation,cross-cultural adaptation,pre-experiment and cognitive interview were conducted to finally form the Chinese version of the Evidence-Informed Decision-Making Competence Measure for nurses.A total of 1 247 nurses from 7 tertiary A hospitals in Beijing,Hubei,Hunan and Xinjiang were selected by convenience sampling method in April 2024 to test its reliability and validity.Results 1 026 effective question-naires were collected,with an effective recovery rate of 82.28％.The Chinese version of the Evidence-Informed Decision-Making Competence Measure included 25 items,including knowledge/skill,attitude and behavior.A total of 3 common factors were extracted from exploratory factor analysis,and the cumulative variance contribution rate was 91.725％.The content validity index at the item level was 0.83-1.00;the content validity index at the scale level was 0.988;the calibration association validity was 0.496.The Cronbach's α coefficient of the whole scale was 0.992;the half-point reliability was 0.930;the retest reliability was 0.927.Conclusion The Chinese version of Evidence-Informed Decision-Making Competence Measure for nurses has good reliability and validity,and it can be used to evaluate the evidence-informed decision-making competence of Chinese nurses,provide references for promoting evidence-based nursing practice and evidence-informed decision-making.