Predictive factors and risk model for depression in patients with type 2 diabetes mellitus: a comprehensive analysis of comorbidities and clinical indicators

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 5, 2025

Depression is highly prevalent among individuals with type 2 diabetes mellitus (T2DM), often compounded by multiple chronic conditions. This study aimed to identify the key factors influencing depression in this population, a particular focus on relationship between Cumulative Illness Rating Scale (CIRS) score and depression, evaluate predictive value of model incorporating sex, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), CIRS score. A total 308 hospitalized patients from Quzhou Hospital, Wenzhou Medical University were enrolled. Their clinical biochemical data collected, alongside assessments comorbidities depressive symptoms using Self-Rating (SDS), respectively. LASSO regression 10-fold cross-validation was used optimal variables for model. Multivariate analysis performed assess independent associations BMI, LDL-C, depression. The scores further explored across various subgroups. model's assessed through ROC curve analysis. Female sex (OR: 2.48, 95% CI: 1.50-4.10, p < 0.001), lower BMI 0.92, 0.86-0.98, = 0.015), LDL-C 0.77, 0.61-0.98, 0.031), higher 1.11, 1.05-1.18, 0.001) independently linked after adjusting variables. strong association observed, particularly males, under 60 years old, those disease duration less than 5 years, no history smoking or alcohol consumption. Additionally, demonstrated high accuracy identifying at risk Female, associated diabetes. appeared be more effective predicting people who male, younger, shorter DM duration, drinking. comprehensive prediction could help clinicians are

Language: Английский

Yangonin Attenuates Streptozotocin-induced Diabetic Nephropathy in Rats via Downregulating Oxidative Stress and Inflammatory Responses

Pharmacognosy Magazine, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Background Diabetic nephropathy (DN) is a serious complication of both type 1 and 2 diabetes defined by progressive kidney damage and, ultimately, failure. The growing prevalence worldwide, coupled with lifestyle changes, has led to rise in the incidence DN, posing significant public health financial burden. Purpose This work aims assess therapeutic significance yangonin on DN an experimental rat model. Methods rats received 65 mg/kg streptozotocin (STZ) induce DN. were then treated for 12 weeks. After treatments had been completed, body weight changes blood glucose levels determined. dysfunction biomarkers, including creatinine, urea, uric acid, urea nitrogen (BUN), marker enzymes, assessed utilizing commercial assay kits. concentrations inflammatory cytokines oxidative stress-related biomarkers evaluated using renal tissues underwent histological study. Results treatment considerably elevated subsequent reduction rats. Furthermore, markers enzymes decreased effectively reduced response stress boosting anti-oxidant analysis results further confirmed efficacy against Conclusion current findings indicate that may mitigate rats, which highlights possesses potential serve as advantageous option

Language: Английский