Evidence map›Paper›PMID 36764567›Full record

ArticleBiological psychiatry2023

Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.

Eleanor Davyson, Xueyi Shen, Danni A Gadd, Elena Bernabeu, Robert F Hillary, Daniel L McCartney, Mark Adams, Riccardo Marioni, Andrew M McIntosh

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
13.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Eleanor DavysonDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Xueyi ShenDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
Danni A GaddInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Elena BernabeuInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Robert F HillaryInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Daniel L McCartneyInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Mark AdamsDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
Riccardo MarioniInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: andrew.mcintosh@ed.ac.uk.
Edinburgh Cancer Research · GBUniversity of Edinburgh · GB

Funding

1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Biotechnology and Biological Sciences Research CouncilMedical Research Council MR/W014386/1Medical Research Council MR/X003434/1NIMH NIH HHS U01 MH109528Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 108890/Z/15/ZWellcome Trust 220857/Z/20/Z
6 · The paper itself

Abstract

backgroundMetabolic differences have been reported between individuals with and without major depressive disorder (MDD), but their consistency and causal relevance have been unclear.

methodsWe conducted a metabolome-wide association study of MDD with 249 metabolomic measures available in the UK Biobank (n = 29,757). We then applied two-sample bidirectional Mendelian randomization and colocalization analysis to identify potentially causal relationships between each metabolite and MDD.

resultsA total of 191 metabolites tested were significantly associated with MDD (false discovery rate-corrected p < .05), which decreased to 129 after adjustment for likely confounders. Lower abundance of omega-3 fatty acid measures and a higher omega-6 to omega-3 ratio showed potentially causal effects on liability to MDD. There was no evidence of a causal effect of MDD on metabolite levels. Furthermore, genetic signals associated with docosahexaenoic acid colocalized with loci associated with MDD within the fatty acid desaturase gene cluster. Post hoc Mendelian randomization of gene-transcript abundance within the fatty acid desaturase cluster demonstrated a potentially causal association with MDD. In contrast, colocalization analysis did not suggest a single causal variant for both transcript abundance and MDD liability, but rather the likely existence of two variants in linkage disequilibrium with one another.

conclusionsOur findings suggest that decreased docosahexaenoic acid and increased omega-6 to omega-3 fatty acids ratio may be causally related to MDD. These findings provide further support for the causal involvement of fatty acids in MDD.

Indexed as

Fatty Acids, Omega-3Major Depressive DisorderDocosahexaenoic AcidsFatty Acid DesaturasesFatty Acids, UnsaturatedGenome-Wide Association StudyHumansMendelian Randomization AnalysisDocosahexaenoic AcidsFatty Acid DesaturasesFatty Acids, Omega-3Fatty Acids, UnsaturatedColocalizationDepressionFatty acidsMendelian randomizationMetabolomeMultiomics

Identifiers

PMID36764567
PMCPMC10804990
OpenAlexW4319773774

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.