A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder

BackgroundDespite the high prevalence of major depressive disorder (MDD), current diagnostic methods rely on subjective clinical assessments, highlighting the need for biomarkers. This study aimed to investigate plasma metabolite signatures in patients with MDD compared with healthy controls (HC) an...

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Bibliographic Details

Published in:	Frontiers in Psychiatry
Main Authors:	Yuzhen Zheng, Duan Zeng, Ying Tian, Siyuan Li, Shen He, Huafang Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	major depressive disorder metabolomics biomarkers machine-learning WGCNA
Online Access:	https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1610520/full