ArticleAnnals of translational medicine2022
The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- The Gut Microbiota-Astrocyte Axis: New Insights into the Mechanisms of Comorbid Major Depressive Disorder in Type 2 Diabetes Mellitus.Molecular neurobiology · 2026Review
- Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.BMC psychology · 2025Article
- Update on Hypothalamic Inflammation and Gliosis: Expanding Evidence of Relevance Beyond Obesity.Current obesity reports · 2025Review
- Review of the direct and indirect effects of hyperglycemia on the HPA axis in T2DM and the co-occurrence of depression.BMJ open diabetes research & care · 2024Review
- Why does type 2 diabetes mellitus impair weight reduction in patients with obesity? A review.Obesity pillars · 2023Review
- Gambogic acid affects high glucose-induced apoptosis and inflammation of retinal endothelial cells through the NOX4/NLRP3 pathway.Annals of translational medicine · 2023Article
- HTR1A Gene Polymorphism in Type 2 Diabetes Mellitus Comorbid with Major Depressive Disorder in a Chinese Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Cognitive decline and neuroimaging correlates in comorbid type 2 diabetes and depression: A systematic review.Journal of Alzheimer's disease reportsReview
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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