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Objective: Depression is common in individuals with endocrine-metabolic disorders and vice versa, and a better understanding of the underlying factors contributing to the comorbidity of these disorders is needed. This study investigated the familial coaggregation of depression and endocrine-metabolic disorders and estimated the contribution of genetic and environmental factors to their co-occurrence.
Methods: This population-based cohort study included 2.2 million individuals born in Sweden between 1973 and 1996, with follow-up through 2013. Participants were linked to their biological parents, allowing identification of full siblings, maternal half siblings, and paternal half siblings. Diagnoses of depression and endocrine-metabolic conditions were investigated, with the latter grouped into autoimmune disorders (autoimmune hypothyroidism, Graves' disease, and type 1 diabetes) and non-autoimmune disorders (type 2 diabetes, obesity, and polycystic ovary syndrome). Logistic regression and Cox regression were used to estimate the associations between endocrine-metabolic disorders and depression within the same individual and across siblings. Quantitative genetic modeling was performed to investigate the relative contribution of genetic and environmental influences.
Results: Individuals with endocrine-metabolic disorders had a significantly higher risk of depression, with odds ratios ranging from 1.43 (95% CI=1.30, 1.57) for Graves' disease to 3.48 (95% CI=3.25, 3.72) for type 2 diabetes. Increased risks extended to full and half siblings. These correlations were mainly explained by shared genetic influences for non-autoimmune conditions, and by nonshared environmental factors for autoimmune disorders, especially for type 1 diabetes.
Conclusions: These findings provide phenotypic and etiological insights into the co-occurrence of depression and various endocrine-metabolic conditions, which could guide future research aiming at identifying pathophysiological mechanisms and intervention targets.
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http://dx.doi.org/10.1176/appi.ajp.21090954 | DOI Listing |
Arch Gynecol Obstet
September 2025
Department of Women's and Children's Health Sciences and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.Go Agostino Gemelli, 8, 00168, Rome, Italy.
Purpose: Polycystic ovarian syndrome (PCOS) is a common endocrine-metabolic disorder affecting about 10% of reproductive-age women. Characterized by hyperandrogenism and ovulatory dysfunction, PCOS often involves metabolic features due to insulin resistance. Traditional treatment with combined oral contraceptive pills (COCP) effectively manages hyperandrogenism and menstrual irregularities.
View Article and Find Full Text PDFJ Steroid Biochem Mol Biol
September 2025
Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Xishan District, Kunming City, Yunnan Province 650000, China. Electronic address:
Polycystic ovary syndrome (PCOS) is an endocrine-metabolic disorder characterized by ovarian dysfunction, with limited effective treatments. This study investigates the therapeutic effects and mechanisms of white kidney bean extract (WKBE) in a PCOS rat model. A PCOS model was established using letrozole, followed by intervention with varying doses of WKBE.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China.
Cardiovascular disease is the leading global cause of mortality, affecting the development of cognitive impairment in the elderly. Lipid-lowering drugs are commonly used to manage cardiovascular disease risk, but their effects on cognitive performance have produced conflicting results in previous research. To better guide the selective decision-making and application of lipid-lowering drugs, this study aims to determine the causal relationship between lipid-lowering drugs and cognitive performance through Mendelian randomization.
View Article and Find Full Text PDFFront Public Health
September 2025
Epidemiology Unit, Agency for Health Protection Milan, Milan, Italy.
Introduction: Post-acute sequelae of COVID-19 (PASC) encompass several clinical outcomes, from new-onset symptoms to both acute and chronic diagnoses, including pulmonary and extrapulmonary manifestations. Health administrative data (HAD) from health information systems allow population-level analyses of such outcomes. Our primary aim was to identify clinical conditions potentially attributable to SARS-CoV-2 infection, and the types of HAD and "diagnostic criteria" used for their detection.
View Article and Find Full Text PDFJ Gene Med
September 2025
Genetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Background: Elevated serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are biomarkers of liver dysfunction and predictors of cirrhosis and liver cancer. While European-ancestry GWAS have identified hundreds of loci influencing these enzymes and driven drug discovery and personalized interventions, comparable genetic studies in Han Taiwanese and other East Asian populations remain lacking.
Methods: We performed GWAS of ALT (n = 137,312) and AST (n = 111,527) in Han Taiwanese to characterize liver enzyme genetics.