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Observational Study
Copyright ©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Feb 19, 2026; 16(2): 113513
Published online Feb 19, 2026. doi: 10.5498/wjp.v16.i2.113513
Aberrant topology of the default mode network is associated with phosphatidylcholine and triglyceride levels in major depressive disorder
Yu-Hang Ma, Xin-Yu Wang, Wen-Liang Wang, Jing Zhang, Xiao-Hong Liu, Du-Xing Li, Zhen-He Zhou, Li-Min Chen, Hong-Liang Zhou
Yu-Hang Ma, Xin-Yu Wang, Wen-Liang Wang, Jing Zhang, Xiao-Hong Liu, Du-Xing Li, Zhen-He Zhou, Li-Min Chen, Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi 214151, Jiangsu Province, China
Hong-Liang Zhou, Department of Psychology, The Affiliated Hospital of Jiangnan University, Wuxi 214151, Jiangsu Province, China
Co-first authors: Yu-Hang Ma and Xin-Yu Wang.
Co-corresponding authors: Li-Min Chen and Hong-Liang Zhou.
Author contributions: Ma YH analyzed the data and wrote the manuscript; Ma YH and Wang XY contributed equally to this study as co-first authors; Wang XY, Wang WL, and Zhang J collected the relevant data; Liu XH, Li DX, and Zhou ZH provided technological support; Zhou ZH provided financial support; Chen LM and Zhou HL designed the study and edited the manuscript, and they contributed equally to this manuscript as co-corresponding authors. All authors have read and approved the final manuscript.
Supported by Wuxi Taihu Talent Project, No. WXTTP2021.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of the Affiliated Mental Health Center of Jiangnan University (approval No. WXMHCIRB2025 LLky017).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: Data used in this study can be available from the corresponding author at hongliangzh@jiangnan.edu.cn.
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: Li-Min Chen, Chief Physician, Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, No. 156 Qianhu Road, Binhu District, Wuxi 214151, Jiangsu Province, China. findition@163.com
Received: August 27, 2025
Revised: September 16, 2025
Accepted: November 3, 2025
Published online: February 19, 2026
Processing time: 156 Days and 4.1 Hours
Abstract
BACKGROUND

The default mode network (DMN) is associated with lipid metabolism. Patients with major depressive disorder (MDD) exhibit concurrent abnormal topological properties of the DMN and dysregulated lipid metabolism. However, there are no studies investigating the mechanisms underlying the associations between these two variables in patients with MDD.

AIM

To investigate the association between abnormal topological properties of the DMN and dysregulated lipid metabolism in patients with MDD.

METHODS

There were 147 participants, including 71 patients with MDD and 76 healthy controls. The 17-item Hamilton Depression Rating Scale (HAMD-17) was used to assess depression severity. Graph theoretical analysis was employed to compare group differences in the topological properties of the DMN across the following bilateral regions: the superior medial frontal gyrus, superior orbital frontal gyrus, posterior cingulate gyrus, parahippocampal gyrus, supramarginal gyrus (SMG), angular gyrus, precuneus, and middle temporal gyrus. Lipidomic techniques were employed to obtain lipid profiles, and orthogonal partial least squares discriminant analysis was performed to compare group differences in lipid profiles. Partial correlation analysis was performed between the abnormal topological properties of the DMN, HAMD-17 scores, and differential lipids.

RESULTS

Abnormal topological properties were observed in the MDD group in the following DMN regions: The right superior medial frontal gyrus (SFGmed.R), right posterior cingulate gyrus, left SMG, right SMG, and left angular gyrus. The betweenness centrality, degree centrality, and efficiency of the SFGmed.R were positively correlated with HAMD-17 scores, whereas the shortest path was negatively correlated with HAMD-17 scores. The betweenness centrality of the left SMG was positively correlated with HAMD-17 scores. The betweenness centrality of the SFGmed.R was positively correlated with phosphatidylcholine O-34:3 and triglyceride O-8:0_18:3_18:5 levels.

CONCLUSION

SFGmed.R is a crucial node within the DMN in MDD patients, and the betweenness centrality of the SFGmed.R is associated with phosphatidylcholine and triglyceride levels. These results may offer novel clues for exploring the pathophysiology and biomarker identification of MDD.

Keywords: Default mode network; Major depressive disorder; White matter; Lipids; Topological properties

Core Tip: The default mode network (DMN) is associated with lipid metabolism. Patients with major depressive disorder (MDD) exhibit abnormalities in the topological properties of the DMN and dysregulation in lipid metabolism. Our study investigated the association between the abnormal topological properties of the DMN and dysregulated lipid metabolism in MDD, revealing that the betweenness centrality of the right superior medial frontal gyrus is associated with phosphatidylcholine and triglyceride. The results may offer novel clues for exploring MDD pathophysiology and biomarker identification.