Cargando…

The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity

BACKGROUND: To explore the contribution of type 2 diabetes mellitus (T2DM) to hypothalamic inflammation and depressive disorders in young patients with obesity. METHODS: According to the diagnostic criteria for T2DM, all of patients with obesity were divided into the diabetic and the non-diabetic gr...

Descripción completa

Detalles Bibliográficos
Autores principales: Dong, Guan-Zhong, Zhang, Qiao-Yang, Jiao, Yu-Wen, Ma, Yi, Zhu, Shu-Min, Zhang, Li-Hao, Zhang, Min, Chen, Yun, Ye, Xin-Hua, Cao, Yin, Tang, Li-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904972/
https://www.ncbi.nlm.nih.gov/pubmed/35284558
http://dx.doi.org/10.21037/atm-22-192
Descripción
Sumario:BACKGROUND: To explore the contribution of type 2 diabetes mellitus (T2DM) to hypothalamic inflammation and depressive disorders in young patients with obesity. METHODS: According to the diagnostic criteria for T2DM, all of patients with obesity were divided into the diabetic and the non-diabetic groups. The severity of depressive disorders was assessed by self-rating depression scale (SDS). The signal intensity (SI) ratio of the T2-weighted phase of the superior hypothalamus/amygdala (H/A) was measured using a quantitative magnetic resonance imaging (MRI) technique to evaluate hypothalamic inflammation. Univariate and multivariate logistic regression analysis was used to find the influencing factors of depressive disorder. The prediction equation’s sensitivity and specificity for the depressive disorder were calculated based on the receiver operating characteristic (ROC) curve. RESULTS: In young patients with obesity and diabetes, the incidence of depression is 79.49%, which was much higher than that in patients without diabetes (P<0.001). The SI of the left H/A in young patients with obesity and diabetes is significantly higher than that in non-diabetic patients (P<0.001). The relative risks of depression are fasting blood glucose (FBG) (OR 1.60; CI: 1.26–2.05), HbA1c (OR 1.94; CI: 1.40–2.68) and triglycerides (OR 1.40; CI: 1.03–1.90). Only FBG enters the predictive equation for depressive disorder, with a 52.8% sensitivity and 84.5% specificity. CONCLUSIONS: In young diabetic patients with obesity, the incidence of depressive disorder is high, a mechanism possibly related to the left hypothalamus inflammation. Elevated FBG can be an independent predictor of depressive disorder in young patients with obesity.