Research progress on the mechanisms linking and intervention of adolescent depression and lipid metabolism disorders
10.11886/scjsws20251031003
- VernacularTitle:青少年抑郁症与脂质代谢异常的关联机制及干预研究进展
- Author:
Ruhui LI
1
;
Jianfei ZENG
1
;
Bing WANG
1
;
Qin WANG
1
;
Ying ZHANG
1
Author Information
1. Clinical College of Mental Health， Shenzhen University Health Science Center， Shenzhen 518000， China
- Publication Type:Review
- Keywords:
Depression;
Adolescents;
Lipid metabolism;
Dyslipidemia;
Unsaturated fatty acids
- From:
Sichuan Mental Health
2026;39(2):175-182
- CountryChina
- Language:Chinese
-
Abstract:
In recent years， the incidence of depression among adolescents has increased significantly， becoming a serious global public health problem. There is a close relationship between adolescent depression and lipid metabolism abnormalities. However， the mechanisms underlying this association have not been fully elucidated. This article provides a review of the mechanisms and interventions linking adolescent depression and lipid metabolism abnormalities， aiming to offer new ideas for interventions in adolescent depression. Using computerized searches of the China National Knowledge Infrastructure （CNKI）， Wanfang Data， PubMed， and Web of Science， studies on the mechanisms and interventions related to adolescent depression and lipid metabolism were collected， with the search period extending up to October 10， 2025. Two researchers independently conducted literature screening and extracted basic information from the included studies. A total of 12 original studies were included. The results indicate that adolescent depression is associated with certain lipid metabolites. Neurobiological factors， immune inflammation， oxidative stress， and gut microbiota imbalance play important roles in this association. In addition， lipid metabolites such as omega-3 polyunsaturated fatty acids （ω-3 PUFAs） have a significant ameliorating effect on adolescent depression. ［Funded by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties （number， SZGSP013）； Shenzhen Science and Technology Program （number， 20210617155253001）］
