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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Dong, Guan-Zhong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8904972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-89049722022-03-10 The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity 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 Ann Transl Med Original Article 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. AME Publishing Company 2022-02 /pmc/articles/PMC8904972/ /pubmed/35284558 http://dx.doi.org/10.21037/atm-22-192 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article 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 The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title | The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title_full | The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title_fullStr | The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title_full_unstemmed | The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title_short | The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
title_sort | contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity |
topic | Original Article |
url | 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 |
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