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Circulating metabolites modulated by diet are associated with depression

  • Ashley van der Spek
  • , Isobel D. Stewart
  • , Brigitte Kühnel
  • , Maik Pietzner
  • , Tahani Alshehri
  • , Friederike Gauß
  • , Pirro G. Hysi
  • , Siamak MahmoudianDehkordi
  • , Almut Heinken
  • , Annemarie I. Luik
  • , Karl Heinz Ladwig
  • , Gabi Kastenmüller
  • , Cristina Menni
  • , Johannes Hertel
  • , M. Arfan Ikram
  • , Renée de Mutsert
  • , Karsten Suhre
  • , Christian Gieger
  • , Konstantin Strauch
  • , Henry Völzke
  • Thomas Meitinger, Massimo Mangino, Antonia Flaquer, Melanie Waldenberger, Annette Peters, Ines Thiele, Rima Kaddurah-Daouk, Boadie W. Dunlop, Frits R. Rosendaal, Nicholas J. Wareham, Tim D. Spector, Sonja Kunze, Hans Jörgen Grabe, Dennis O. Mook-Kanamori, Claudia Langenberg, Cornelia M. van Duijn, Najaf Amin
  • Erasmus MC
  • SkylineDx B.V.
  • MRC Epidemiology Unit
  • German Research Center for Environmental Health
  • Queen Mary University of London
  • Charité Universitätsmedizin Berlin
  • Leiden University Medical Center
  • University Medicine Greifswald
  • King's College London
  • Duke University School of Medicine
  • University of Galway
  • Lorraine University
  • Klinikum Rechts der Isar
  • partner site Greifswald
  • Weill Cornell Medicine-Qatar
  • Ludwig-Maximilians-University Munich
  • Technical University Munich
  • Partner site Berlin
  • APC Microbiome Ireland
  • Emory University School of Medicine
  • University of Oxford Medical Sciences Division

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

45 Citations (Scopus)

Abstract

Metabolome reflects the interplay of genome and exposome at molecular level and thus can provide deep insights into the pathogenesis of a complex disease like major depression. To identify metabolites associated with depression we performed a metabolome-wide association analysis in 13,596 participants from five European population-based cohorts characterized for depression, and circulating metabolites using ultra high-performance liquid chromatography/tandem accurate mass spectrometry (UHPLC/MS/MS) based Metabolon platform. We tested 806 metabolites covering a wide range of biochemical processes including those involved in lipid, amino-acid, energy, carbohydrate, xenobiotic and vitamin metabolism for their association with depression. In a conservative model adjusting for life style factors and cardiovascular and antidepressant medication use we identified 8 metabolites, including 6 novel, significantly associated with depression. In individuals with depression, increased levels of retinol (vitamin A), 1-palmitoyl-2-palmitoleoyl-GPC (16:0/16:1) (lecithin) and mannitol/sorbitol and lower levels of hippurate, 4-hydroxycoumarin, 2-aminooctanoate (alpha-aminocaprylic acid), 10-undecenoate (11:1n1) (undecylenic acid), 1-linoleoyl-GPA (18:2) (lysophosphatidic acid; LPA 18:2) are observed. These metabolites are either directly food derived or are products of host and gut microbial metabolism of food-derived products. Our Mendelian randomization analysis suggests that low hippurate levels may be in the causal pathway leading towards depression. Our findings highlight putative actionable targets for depression prevention that are easily modifiable through diet interventions.

Original languageEnglish
Pages (from-to)3874-3887
Number of pages14
JournalMolecular Psychiatry
Volume28
Issue number9
DOIs
Publication statusPublished - Sept 2023

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