IL-1β was considered as an important inflammatory cytokine in diabetic cardiovascular complications. DCM is one of the major manifestations of diabetic cardiovascular complications whose specific mechanisms are still unclear. In this study, we investigated the role of IL-1β in myocytes apoptosis in DCM. In the in vitro study, high- glucose medium and/or IL-1β were used to incubate the isolated primary myocytes. siRNA was used to knockdown the irak2 gene expression. Apoptosis was evaluated by Hoechst and TUNEL staining. In the in vivo study, DCM in rats was induced by STZ injection and confirmed by cardiac hemodynamic determinations. The IL-1 receptor antagonist, IL-1Ra was also used to treat DCM rats. Myocardial apoptosis was assessed by TUNEL assay. In both in vitro and in vivo studies, expression levels of GRP-78, IRAK-2 and CHOP were analyzed by Western Blotting. ELISA was employed to exam the IL-1β content in serum and cell supernatants. Myocytes were not identified as the source of IL-1β secretion under high- glucose incubation. High glucose incubation and/or IL-1β incubation elevated ER- stress mediated myocytes apoptosis which was attenuated by irak2 silencing. Dramatically increased circulating and myocardial IL-1β levels were found in DCM rats which stimulated activation of ER stress and lead to elevated myocytes apoptosis. The administration of IL-1Ra, however, attenuated IRAK2/CHOP induced apoptosis without affecting fasting blood glucose concentration. Elevated circulating IL-1β contributed to promote ER stress- induced myocytes apoptosis by affecting IRAK-2/CHOP pathway in DCM.

Background: Frailty contributes to adverse outcomes in older adults and places a heavy burden on healthcare resources. Dysphagia is associated with frailty, but the mechanisms by which dysphagia affects frailty in older adults are unclear. This study aimed to investigate a serial mediating effect of self-perceived oral health and self-reported nutritional status in the relationship between dysphagia and frailty among hospitalized older patients in China. Methods: This cross-sectional study included 1200 patients aged ≥ 65 years in the Department of Geriatrics, Shaanxi Provincial People’s Hospital. A structured face-to-face interview was used to survey the following questionnaires: General Information Questionnaire, Tilburg Frailty Indicators (TFI), Eating Assessment Tool-10 (EAT-10), 30mL Water Swallow Test (WST), Geriatric Oral Health Assessment Index (GOHAI), and Short-Form Mini-Nutritional Assessment (MNA-SF). A total of 980 participants with complete data were included in the analysis. Statistical analysis was performed using SPSS 26.0 and Amos 28.0 software. Spearman’s correlation analysis was used for correlation analysis of study variables. The results of the multivariate linear regression analysis for frailty were used as covariates in the mediation analysis, and the structural equation model (SEM) was used to analyze the mediating effects among the study variables. Results: Dysphagia, self-perceived oral health, self-reported nutritional status, and frailty were significantly correlated (P<0.001). Dysphagia was found to directly affect frailty (β = 0.161, 95%CI = 0.089 to 0.235) and through three significant mediation pathways: (1) the path through self-perceived oral health (β = 0.169, 95%CI = 0.120 to 0.221), accounting for 36.98% of the total effect; (2) the path through self-reported nutritional status (β = 0.050, 95%CI = 0.023 to 0.082), accounting for 10.94% of the total effect; (3) the path through self-perceived oral health and self-reported nutritional status (β = 0.077, 95%CI = 0.058 to 0.102), accounting for 16.85% of the total effect. The total mediation effect was 64.77%. Conclusions: This study indicated that dysphagia was significantly associated with frailty. Self-perceived oral health and self-reported nutritional status were serial mediators of this relationship. Improving the oral health and nutritional status of hospitalized older patients may prevent or delay the frailty caused by dysphagia.

BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown that it is also associated with cancer-related morbidities. Early detection of cancer in patients with type 2 diabetes is crucial. OBJECTIVE: This study aimed to construct a model to predict cancer risk in patients with type 2 diabetes. METHODS: This study collected clinical data from a total of 5198 patients. A cancer risk prediction model was established by analyzing 261 items from routine laboratory tests. We screened 107 risk factors from 261 clinical tests based on the importance of the characteristic variables, significance of differences between groups (P< 0.05), and minimum description length algorithm. RESULTS: Compared with 16 machine learning classifiers, five classifiers based on the decision tree algorithm (CatBoost, light gradient boosting, random forest, XGBoost, and gradient boosting) had an area under the receiver operating characteristic curve (AUC) of > 0.80. The AUC for CatBoost was 0.852 (sensitivity: 79.6%; specificity: 83.2%). CONCLUSION: The constructed model can predict the risk of cancer in patients with type 2 diabetes based on tumor biomarkers and routine tests using machine learning algorithms. This is helpful for early cancer risk screening and prevention to improve patient outcomes.

Background: Oral frailty (OF) is a significant geriatric syndrome, characterized by cumulative declines in oral function, with broad health implications. This scoping review synthesizes the existing evidence on the risk factors, adverse outcomes, and interventions related to OF in older adults. Methods: Following the PRISMA-ScR framework, we systematically searched PubMed, Embase, CINAHL, Web of Science, PsycINFO, and the Cochrane Library from inception to January 9, 2025. Two independent researchers conducted literature screening and data extraction, focusing on the first author, title, publication year, country, population, study design, sample size, scales, risk factors, adverse outcomes, and interventions. Results: A total of 589 records were identified, of which 64 studies met the inclusion criteria: 47 cross-sectional studies, 15 longitudinal studies, and 2 experimental studies. The analysis revealed OF risk factors across six domains: sociodemographic, physical/disease-related, oral health-related, dietary/nutritional, psychosocial, and lifestyle factors, with oral health-related factors being the most frequently reported. Adverse outcomes associated with OF included multidimensional health declines such as physical frailty/sarcopenia, malnutrition, cognitive impairment, oral dysbiosis, increased healthcare burden, and aspiration pneumonia, underscoring its systemic impact. Limited intervention evidence highlighted two promising programs: the CAMCAM program and the Oral Frailty Measures program, underscoring further intervention research. Conclusions: OF is a multifactorial syndrome with diverse adverse outcomes through bidirectional pathways. Future research should prioritize longitudinal designs to establish causality and develop integrated, culturally adapted prevention and intervention strategies.