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.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

Pyroptosis is a new type of programmed cell death that can efficiently enhance the immune response by inducing cell lysis and inflammation, thereby facilitating tumor immunotherapy. Recently, an increasing number of studies have revealed close relationships between pyroptosis and nanomedicine, which has been regarded as a new strategy for developing nanomedicine-based immunotherapy for highly effective therapy of various cancers. In this review, the development and associated signaling pathways for pyroptosis, including the correlation between pyroptosis and anti-tumor immunity, were first presented. Then, various nanomedicines that induce pyroptosis for tumor therapy, especially immunotherapy, were systematically discussed. Finally, the current challenges and constructive perspectives in this field were proposed.

Bombesin receptor subtype-3 (BRS3) is an orphan G protein-coupled receptor (GPCR) that plays critical roles in energy homeostasis, glucose metabolism, and insulin secretion. Recent structural studies have elucidated BRS3 signaling mechanisms using synthetic ligands, including BA1 and MK-5046. However, the molecular basis of BRS3 activation by bioactive natural compounds and their derivatives, particularly those derived from traditional Chinese medicine, remains unclear. Here, we present high-resolution cryogenic electron microscopy (cryo-EM) structures of the human BRS3-G_q complex in both unliganded and active states bound by two herb-derived compounds (DSO-5a and oridonin), at resolutions of 2.9, 2.8, and 2.9 Å, respectively. These structures display distinct ligand recognition patterns between DSO-5a and oridonin. Although both compounds bind to the orthosteric pocket, they differentially engage the interaction network of BRS3, as demonstrated by mutagenesis studies assessing calcium mobilization and inositol phosphate 1 (IP1) accumulation. These findings enhance our understanding of BRS3 activation and provide valuable insights into the development of small-molecule BRS3 modulators with therapeutic potential.

Atopic dermatitis (AD) is a common chronic inflammatory skin disorder affecting all age groups, especially children, with a prevalence of up to 20% globally. AD remains burdensome and incurable with current therapeutic strategies-ranging from trigger avoidance and skincare to medication-primarily address symptoms rather than disease modification, underscoring the imperative for innovative therapeutic paradigms. RNA-targeted therapies, particularly antisense molecules, have emerged as a transformative approach in precision medicine, with proven clinical success in diseases such as spinal muscular atrophy and familial chylomicronemia syndrome. These therapeutics achieve post-transcriptional regulation unattainable by conventional therapies, enabling direct targeting of messenger RNA (mRNA) and regulatory non-coding RNAs (ncRNAs) implicated in disease pathogenesis. Furthermore, skin is better suited to the antisense modulation due to the relatively easy access to target cells. Numerous studies have explored antisense-based targeting of key drivers in AD progression, yielding promising proof-of-concept results and prompting several early-stage clinical trials. This modality represents a paradigm shift in AD management-one that aligns with the broader revolution in RNA therapeutics reshaping modern medicine. This review critically examines the evolving role of antisense technology in AD, addressing both its mechanistic rationale and the translational challenges that must be overcome to realize its full clinical potential.