Evidence map›Paper›PMID 41394405›Full record

ArticleGeneral psychiatry2025

Investigating the causal role of circulating metabolites in major depressive disorder.

Li Fu, Ancha Baranova, Hongbao Cao, Fuquan Zhang

Abstract read
In one paragraph

Article in General psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Exploring the impacts of type 2 diabetes and metformin use on Parkinson's disease: Mendelian randomization analysis and a national cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Li FuDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Ancha BaranovaSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Hongbao CaoSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Fuquan ZhangDepartment of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic dysregulation has been implicated in major depressive disorder (MDD). Aims: We aimed to explore the potential role of plasma metabolites in MDD. Methods: We conducted Mendelian randomisation (MR) analysis to evaluate the causal effects of 871 circulating metabolites on MDD, using the Genome-Wide Association Studies datasets of MDD (N=1 035 760) and metabolites (N=8299). Bayesian colocalisation and druggability analyses were employed to identify genetic variants contributing to both MDD and levels of metabolites in plasma and to pinpoint metabolites with therapeutic potential, respectively. Results: MR analysis identified 11 metabolites associated with MDD (false discovery rate<0.05). Eight metabolites, including arachidonate (20:4n6) (odds ratio (OR): 0.97), 1-arachidonoyl-GPC (20:4n6) (OR: 0.98), 1-(1-enyl-palmitoyl)-2-palmitoleoyl-GPC (P-16:0/16:1) (OR: 0.97), succinoyltaurine (OR: 0.98), 3-methoxycatechol sulphate (1) (OR: 0.98) and 11β-hydroxyandrosterone glucuronide (OR: 0.97), showed protective effects against MDD. Three metabolites were associated with increased risk, namely, butyrylglycine (OR: 1.03), 3-carboxy-4-methyl-5-propyl-2-furanpropanoate (OR: 1.02) and 1-(1-enyl-stearoyl)-2-oleoyl-GPE (p-18:0/18:1) (OR: 1.02). Colocalisation analysis supported shared genetic signals between five lipid metabolites and MDD, particularly at loci harbouring Conclusions: Genetically predicted levels of certain circulating metabolites make a causal contribution to MDD. Further investigation of their roles may provide novel pathophysiological insights and give clues for targeted therapies.

Indexed as

Depressive Disorder, MajorGenome-Wide Association StudyMendelian Randomization Analysis

Identifiers

PMID41394405
PMCPMC12699549

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.