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.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Objective: To explore the efficacy of pelvic floor optimization training of Yun-type with the aid of myoelectric biofeedback in the treatment of mild to moderate female stress urinary incontinence (SUI). Methods: Female SUI patients treated in our hospital during Jan.and Oct.2024 were included as the research subjects.They were randomly divided into the control group (n=47) and observation group (n=48) by random number method.The control group received conventional Yun-type pelvic floor optimization training，while the observation group received Yun-type pelvic floor optimization training assisted with myoelectric biofeedback.The total treatment course lasted for 12 weeks.The clinical efficacy，as well as the changes in international consultation on incontinence questionnaire for symptoms and impact (ICI-Q-SF)，incontinence quality of life (I-QoL)，female sexual function index (FSFI)，and pelvic floor electromyographic values before and after treatment were compared. Results: The total effective rate of the observation group was 93.6%，which was significantly higher than that of the control group (79.2%，P<0.05).After 12 weeks of treatment，the ICI-Q-SF [(6.12±1.11) vs. (6.97±1.24)]，I-QoL [(85.05±4.51) vs. (82.14±4.60)]，and FSFI [(30.01±4.10) vs. (26.32±3.32)] scores of the observation group were significantly better than those of the control group (P<0.05).After 12 weeks of treatment，the myoelectric values of the pelvic floor muscles of the observation group at the pre-rest stage，fast muscle (type Ⅱ muscle) stage，slow muscle (type Ⅰ muscle) stage，endurance test stage，and post-rest stage were significantly improved compared with those before treatment and were greatly enhanced compared with those of the control group (P<0.05).No serious adverse reactions occurred in either groups during treatment and follow-up. Conclusion: The Yun-type pelvic floor optimization training assisted with myoelectric biofeedback can precisely enhance the therapeutic effects of the conventional Yun-type pelvic floor optimization training，and significantly improve the female sexual function index.It is worthy of clinical promotion and application.

Acute myeloid leukemia (AML) is a highly heterogeneous hematological malignancy characterized by an abnormal proliferation of primitive and naive myeloid cells in the bone marrow and peripheral blood. Patients vary enormously in molecular biological features, clinical manifestations and prognosis, leading to therapeutic difficulties. Increasing evidence indicates that the tumor microenvironment plays an important role in the development and progression of AML. Immunometabolism reveals the metabolic network of immune cells, which has important implications in tumor research. This work reviews the research progress on the metabolic alterations of immune cells in the AML microenvironment and the therapeutic strategies targeting immune metabolism in AML to present a part of the blueprint of immune metabolism regulation in the bone marrow microenvironment of AML.

Intestinal fibrosis is a major complication of inflammatory bowel disease (IBD), leading to a high incidence of surgical interventions and significant disability. Despite its clinical relevance, no targeted pharmacological therapies are currently available. This review aims to explore the underlying mechanisms driving intestinal fibrosis and address unresolved scientific questions, offering insights into potential future therapeutic strategies. We conducted a literature review using data from PubMed up to October 2024, focusing on studies related to IBD and fibrosis. Intestinal fibrosis results from a complex network involving stromal cells, immune cells, epithelial cells, and the gut microbiota. Chronic inflammation, driven by factors such as dysbiosis, epithelial injury, and immune activation, leads to the production of cytokines like interleukin (IL)-1β, IL-17, and transforming growth factor (TGF)-β. These mediators activate various stromal cell populations, including fibroblasts, pericytes, and smooth muscle cells. The activated stromal cells secrete excessive extracellular matrix components, thereby promoting fibrosis. Additionally, stromal cells influence the immune microenvironment through cytokine production. Future research would focus on elucidating the temporal and spatial relationships between immune cell-driven inflammation and stromal cell-mediated fibrosis. Additionally, investigations are needed to clarify the differentiation origins of excessive extracellular matrix-producing cells, particularly fibroblast activation protein (FAP) + fibroblasts, in the context of intestinal fibrosis. In conclusion, aberrant stromal cell activation, triggered by upstream immune signals, is a key mechanism underlying intestinal fibrosis. Further investigations into immune-stromal cell interactions and stromal cell activation are essential for the development of therapeutic strategies to prevent, alleviate, and potentially reverse fibrosis.
Humans ; Fibrosis/metabolism* ; Inflammatory Bowel Diseases/pathology* ; Animals ; Transforming Growth Factor beta/metabolism* ; Intestines/pathology*