Unraveling the genetic interplay and therapeutic potentials between major depressive disorder and metabolic syndrome: multi-ancestry and multi-trait genome-wide association analyses

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Authors: Yiheng Feng, Yihao Li, Hong Zhang, Huilin Xia, Yuan F. Lu, Hang Zhou, Peng Huang
Cited by: 0
References: 108

Abstract

This investigation elucidates the genetic connection between major depressive disorder (MDD) and metabolic syndrome (MetS), suggesting bidirectional genetic correlations and shared pleiotropic genes. Leveraging a comprehensive genome-wide association study (GWAS) dataset from European and East Asian populations, we discovered new genetic markers linked to MDD and enhanced the robustness of genetic associations via cross-trait analysis. Moreover, the study harnessed computational strategies for drug repurposing, identifying Cytochrome P450 and HDAC inhibitors as candidate drugs for further investigation in MDD and MetS. Employing BLISS technology, we pinpointed proteins significantly linked to both conditions, advancing our comprehension of their molecular underpinnings. Through Mendelian randomization, we investigated how diverse dietary patterns across populations influence MDD and MetS, shedding light on the relationship between diet and disease susceptibility. This research not only enriches our understanding of the intersecting biological pathways of MDD and MetS but also opens avenues for innovative preventive and therapeutic measures.

Fields of Study & Subjects

Genetic Associations and Epidemiology Genetic Mapping and Diversity in Plants and Animals Treatment of Major Depression

Publication details

Journal / source
BMC Psychiatry
Volume
26
Issue
1
Pages
153–153
Publication date
19 January 2026
Language
EN