Aims/hypothesis: Psychiatric disorders, such as schizophrenia (SCZ), major depressive disorder (MDD) and bipolar disorder (BPD), are highly comorbid with type 2 diabetes. However, the mechanisms underlying such comorbidity are understudied. This study explored the familial aggregation of common psychiatric disorders and type 2 diabetes by testing family history association, and investigated the shared genetic loading between them by testing the polygenic risk score (PRS) association.
Methods: A total of 105,184 participants were recruited from the Taiwan Biobank, and genome-wide genotyping data were available for 95,238 participants. The Psychiatric Genomics Consortium-derived PRS for SCZ, MDD and BPD was calculated. Logistic regression was used to estimate the OR with CIs between a family history of SCZ/MDD/BPD and a family history of type 2 diabetes, and between the PRS and the risk of type 2 diabetes.
Results: A family history of type 2 diabetes was associated with a family history of SCZ (OR 1.23, 95% CI 1.08, 1.40), MDD (OR 1.19, 95% CI 1.13, 1.26) and BPD (OR 1.26, 95% CI 1.15, 1.39). Compared with paternal type 2 diabetes, maternal type 2 diabetes was associated with a higher risk of a family history of SCZ. SCZ PRS was negatively associated with type 2 diabetes in women (OR 0.92, 95% CI 0.88, 0.97), but not in men; the effect of SCZ PRS reduced after adjusting for BMI. MDD PRS was positively associated with type 2 diabetes (OR 1.04, 95% CI 1.00, 1.07); the effect of MDD PRS reduced after adjusting for BMI or smoking. BPD PRS was not associated with type 2 diabetes.
Conclusions/interpretation: The comorbidity of type 2 diabetes with psychiatric disorders may be explained by shared familial factors. The shared polygenic loading between MDD and type 2 diabetes implies not only pleiotropy but also a shared genetic aetiology for the mechanism behind the comorbidity. The negative correlation between polygenic loading for SCZ and type 2 diabetes implies the role of environmental factors.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00125-022-05665-x | DOI Listing |
JMIR Diabetes
January 2025
Center for Evaluation and Survey Research, HealthPartners Institute, Bloomington, MN, United States.
Background: Food choices play a significant role in achieving glycemic goals and optimizing overall health for people with type 2 diabetes (T2D). Continuous glucose monitoring (CGM) can provide a comprehensive look at the impact of foods and other behaviors on glucose in real time and over the course of time. The impact of using a nutrition-focused approach (NFA) when initiating CGM in people with T2D is unknown.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Background: This study evaluates the efficacy and safety of sitagliptin versus gliclazide, combined with metformin, in treatment-naive patients with type 2 diabetes mellitus (T2DM) and glucotoxicity.
Methods: In this single-center, randomized, controlled noninferiority trial, 129 treatment-naive patients with T2DM with glucotoxicity (fasting plasma glucose [FPG] ≥ 200 mg/dL and glycated hemoglobin ≥ 9.0%) were randomized to receive sitagliptin plus metformin (n = 66) or gliclazide plus metformin (n = 63) for 12 weeks.
Medicine (Baltimore)
January 2025
The Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.
Rationale: Gitelman syndrome (GS) is a rare hereditary electrolyte disorder caused by mutations in the SLC12A3 gene. There is limited literature on the role of hydrochlorothiazide (HCT) testing and the SLC12A3 single heterozygous mutation in the diagnosis and management of patients with GS. In addition, cases of GS with concomitant kidney stones are rare.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
Gestational diabetes mellitus (GDM), a transient form of diabetes that resolves postpartum, is a major risk factor for type 2 diabetes (T2D) in women. While the progression from GDM to T2D is not fully understood, it involves both genetic and environmental components. By integrating clinical, metabolomic, and genome-wide association study (GWAS) data, we identified associations between decreased sphingolipid biosynthesis and future T2D, in part through the allele of the gene in Hispanic women shortly after a GDM pregnancy.
View Article and Find Full Text PDFComput Inform Nurs
January 2025
Author Affiliations: Duke University School of Nursing (Drs Lee, Silva, Yang, Hatch, and Shaw and Mss Pennington, Matters, and Urlichich); and Duke University School of Medicine (Dr Crowley), Durham, NC.
Digital health literacy is emerging as an important element in chronic illness management, yet its relationship with clinical outcomes remains unclear. Utilizing data from the ongoing EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care trial, this cross-sectional, correlational study explored the association between digital health literacy, health literacy, and patient outcomes, specifically blood pressure and hemoglobin A1c levels in 76 patients managing comorbid type 2 diabetes and hypertension. Results indicate patients had moderate digital health literacy, which was not significantly correlated with health literacy (r = 0.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!