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Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders
Journal article   Open access   Peer reviewed

Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders

Lachlan Gilchrist, Julian Mutz, Pirro Hysi, Cristina Legido-Quigley, Sulev Kõks, Cathryn M Lewis and Petroula Proitsi
BMC medicine, Vol.23(1), 326
2025
DOI: https://doi.org/10.1186/s12916-025-04129-4
PMID: 40457327
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Published2.01 MBDownloadView
CC BY V4.0,  Open Access

Abstract

Bayes Theorem Humans Mendelian Randomization Analysis Mental Disorders - genetics Mental Disorders - metabolism Metabolome Neurodegenerative Diseases - genetics Neurodegenerative Diseases - metabolism Risk Factors
Background Evidence indicates phenotypic and biological overlap between psychiatric and neurodegenerative disorders. Further identification of underlying mutual and unique biological mechanisms may yield novel multi-disorder and disorder-specific therapeutic targets. The metabolome represents an important domain for target identification as metabolites play critical roles in modulating a diverse range of biological processes. Methods We used Mendelian randomisation (MR) to test the causal effects of ~ 1000 plasma metabolites and ~ 300 metabolite ratios on anxiety, bipolar disorder, depression, schizophrenia, amyotrophic lateral sclerosis, Alzheimer’s disease, Parkinson’s disease and multiple sclerosis. Follow-up analyses were conducted using statistical colocalisation, multivariable Bayesian model averaging MR (MR-BMA) and polygenic risk score analysis in the UK Biobank. Results MR analyses identified 85 causal effects involving 77 unique metabolites passing FDR correction and robust sensitivity analyses (IVW-MR OR range 0.73–1.48; pFDR < 0.05). No evidence of reverse causality was identified. Multivariable MR-BMA analyses implicated sphingolipid metabolism in psychiatric disorder risk and carnitine derivatives in risk for amyotrophic lateral sclerosis and multiple sclerosis. Although polygenic risk scores for prioritised metabolites showed limited prediction in the UK Biobank, those nominally significant were directionally consistent with MR estimates. Downstream colocalisation in regions containing influential variants identified greater than suggestive evidence (PP.H4 ≥ 0.6) for a shared causal variant for 29 metabolite/psychiatric disorder trait-pairs on chromosome 11 at the FADS gene cluster. Most of these metabolites were lipids containing linoleic or arachidonic acid. Additional colocalisation was identified between the ratio of histidine-to-glutamine, glutamine, Alzheimer’s disease and SPRYD4 gene expression on chromosome 12. Conclusions Although no single metabolite had a causal effect on both a psychiatric and a neurodegenerative disease, results suggest a broad effect of lipids across brain disorders, with a particular role for lipids containing linoleic or arachidonic acid in psychiatric disorders. The metabolites identified here may help inform future targeted interventions.

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Citation topics
1 Clinical & Life Sciences
1.189 Genome Studies
1.189.455 Genome-Wide Association Studies
Web Of Science research areas
Genetics & Heredity
ESI research areas
Clinical Medicine
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