Liu Y, Huang SY, Liu DL, Zeng XX, Pan XR, Peng J. Bidirectional relationship between diabetes mellitus and depression: Mechanisms and epidemiology. World J Psychiatry 2024; 14(10): 1429-1436 [PMID: 39474387 DOI: 10.5498/wjp.v14.i10.1429]
Corresponding Author of This Article
Yun Liu, MD, Doctor, Department of Psychiatry, Jiangxi Mental Hospital/Affiliated Mental Hospital of Nanchang University, Number 43, Shangfang Road, Nanchang 330029, China. 13507914760@163.com
Research Domain of This Article
Psychiatry
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Yun Liu, Department of Psychiatry, Jiangxi Mental Hospital/Affiliated Mental Hospital of Nanchang University, Number 43, Shangfang Road, Nanchang 330029, China
Shi-Yan Huang, Xin-Xing Zeng, Xiao-Rui Pan, Jie Peng, The Second Clinical Medical College, Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China
De-Le Liu, Department of Psychosomatic Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, Jiangxi Province, China
Co-corresponding authors: Yun Liu and Jie Peng.
Author contributions: Peng J and Liu Y designed and implemented the content of this manuscript, and are the co-corresponding author of this article; Liu Y, Huang SY wrote the manuscript; Liu DL, Zeng XX, Pan XR contributed to this paper; Peng J revised and reviewed the manuscript. All authors reviewed and approved the final version of the manuscript.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yun Liu, MD, Doctor, Department of Psychiatry, Jiangxi Mental Hospital/Affiliated Mental Hospital of Nanchang University, Number 43, Shangfang Road, Nanchang 330029, China. 13507914760@163.com
Received: July 10, 2024 Revised: September 3, 2024 Accepted: September 6, 2024 Published online: October 19, 2024 Processing time: 98 Days and 21.3 Hours
Abstract
Diabetes mellitus and depression exhibit a complex bidirectional relationship that profoundly impacts patient health and quality of life. This review explores the physiological mechanisms, including inflammation, oxidative stress, and neuroendocrine dysregulation, that link these conditions. Psychosocial factors such as social support and lifestyle choices also contribute significantly. Epidemiological insights reveal a higher prevalence of depression among diabetics and an increased risk of diabetes in depressed individuals, influenced by demographic variables. Integrated management strategies combining mental health assessments and personalized treatments are essential. Future research should focus on longitudinal and multi-omics studies to deepen understanding and improve therapeutic outcomes.
Core Tip: Diabetes mellitus and depression share a bidirectional relationship mediated by physiological mechanisms like inflammation and oxidative stress, compounded by psychosocial factors such as social support and lifestyle choices. Effective management necessitates integrated approaches that incorporate mental health assessments and personalized treatments. Future research should emphasize longitudinal and multi-omics studies to deepen our understanding and refine therapeutic strategies for better patient outcomes.
