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The Metabolome-Wide Signature of Major Depressive Disorder
Major Depressive Disorder (MDD) is an often-chronic condition with substantial molecular alterations and pathway dysregulations involved. Single metabolite, pathway and targeted metabolomics platforms have indeed revealed several metabolic alterations in depression including energy metabolism, neuro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543022/ https://www.ncbi.nlm.nih.gov/pubmed/37790319 http://dx.doi.org/10.21203/rs.3.rs-3127544/v1 |
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author | Jansen, Rick Milaneschi, Yuri Schranner, Daniela Kastenmuller, Gabi Arnold, Matthias Han, Xianlin Dunlop, Boadie W Rush, A John Kaddurah-Daouk, Rima Penninx, Brenda WJH |
author_facet | Jansen, Rick Milaneschi, Yuri Schranner, Daniela Kastenmuller, Gabi Arnold, Matthias Han, Xianlin Dunlop, Boadie W Rush, A John Kaddurah-Daouk, Rima Penninx, Brenda WJH |
author_sort | Jansen, Rick |
collection | PubMed |
description | Major Depressive Disorder (MDD) is an often-chronic condition with substantial molecular alterations and pathway dysregulations involved. Single metabolite, pathway and targeted metabolomics platforms have indeed revealed several metabolic alterations in depression including energy metabolism, neurotransmission and lipid metabolism. More comprehensive coverage of the metabolome is needed to further specify metabolic dysregulation in depression and reveal previously untargeted mechanisms. Here we measured 820 metabolites using the metabolome-wide Metabolon platform in 2770 subjects from a large Dutch clinical cohort with extensive depression clinical phenotyping (1101 current MDD, 868 remitted MDD, 801 healthy controls) at baseline and 1805 subjects at 6-year follow up (327 current MDD, 1045 remitted MDD, 433 healthy controls). MDD diagnosis was based on DSM-IV psychiatric interviews. Depression severity was measured with the Inventory of Depressive Symptomatology self-report. Associations between metabolites and MDD status and depression severity were assessed at baseline and at the 6-year follow-up. Metabolites consistently associated with MDD status or depression severity on both occasions were examined in Mendelian randomization (MR) analysis using metabolite (N=14,000) and MDD (N=800,000) GWAS results. At baseline, 139 and 126 metabolites were associated with current MDD status and depression severity, respectively, with 79 overlapping metabolites. Six years later, 34 out of the 79 metabolite associations were subsequently replicated. Downregulated metabolites were enriched with long-chain monounsaturated (P=6.7e-07) and saturated (P=3.2e-05) fatty acids and upregulated metabolites with lysophospholipids (P=3.4e-4). Adding BMI to the models changed results only marginally. MR analyses showed that genetically-predicted higher levels of the lysophospholipid 1-linoleoyl-GPE (18:2) were associated with greater risk of depression. The identified metabolome-wide profile of depression (severity) indicated altered lipid metabolism with downregulation of long-chain fatty acids and upregulation of lysophospholipids, for which causal involvement was suggested using genetic tools. This metabolomics signature offers a window on depression pathophysiology and a potential access point for the development of novel therapeutic approaches. |
format | Online Article Text |
id | pubmed-10543022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-105430222023-10-03 The Metabolome-Wide Signature of Major Depressive Disorder Jansen, Rick Milaneschi, Yuri Schranner, Daniela Kastenmuller, Gabi Arnold, Matthias Han, Xianlin Dunlop, Boadie W Rush, A John Kaddurah-Daouk, Rima Penninx, Brenda WJH Res Sq Article Major Depressive Disorder (MDD) is an often-chronic condition with substantial molecular alterations and pathway dysregulations involved. Single metabolite, pathway and targeted metabolomics platforms have indeed revealed several metabolic alterations in depression including energy metabolism, neurotransmission and lipid metabolism. More comprehensive coverage of the metabolome is needed to further specify metabolic dysregulation in depression and reveal previously untargeted mechanisms. Here we measured 820 metabolites using the metabolome-wide Metabolon platform in 2770 subjects from a large Dutch clinical cohort with extensive depression clinical phenotyping (1101 current MDD, 868 remitted MDD, 801 healthy controls) at baseline and 1805 subjects at 6-year follow up (327 current MDD, 1045 remitted MDD, 433 healthy controls). MDD diagnosis was based on DSM-IV psychiatric interviews. Depression severity was measured with the Inventory of Depressive Symptomatology self-report. Associations between metabolites and MDD status and depression severity were assessed at baseline and at the 6-year follow-up. Metabolites consistently associated with MDD status or depression severity on both occasions were examined in Mendelian randomization (MR) analysis using metabolite (N=14,000) and MDD (N=800,000) GWAS results. At baseline, 139 and 126 metabolites were associated with current MDD status and depression severity, respectively, with 79 overlapping metabolites. Six years later, 34 out of the 79 metabolite associations were subsequently replicated. Downregulated metabolites were enriched with long-chain monounsaturated (P=6.7e-07) and saturated (P=3.2e-05) fatty acids and upregulated metabolites with lysophospholipids (P=3.4e-4). Adding BMI to the models changed results only marginally. MR analyses showed that genetically-predicted higher levels of the lysophospholipid 1-linoleoyl-GPE (18:2) were associated with greater risk of depression. The identified metabolome-wide profile of depression (severity) indicated altered lipid metabolism with downregulation of long-chain fatty acids and upregulation of lysophospholipids, for which causal involvement was suggested using genetic tools. This metabolomics signature offers a window on depression pathophysiology and a potential access point for the development of novel therapeutic approaches. American Journal Experts 2023-09-21 /pmc/articles/PMC10543022/ /pubmed/37790319 http://dx.doi.org/10.21203/rs.3.rs-3127544/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Jansen, Rick Milaneschi, Yuri Schranner, Daniela Kastenmuller, Gabi Arnold, Matthias Han, Xianlin Dunlop, Boadie W Rush, A John Kaddurah-Daouk, Rima Penninx, Brenda WJH The Metabolome-Wide Signature of Major Depressive Disorder |
title | The Metabolome-Wide Signature of Major Depressive Disorder |
title_full | The Metabolome-Wide Signature of Major Depressive Disorder |
title_fullStr | The Metabolome-Wide Signature of Major Depressive Disorder |
title_full_unstemmed | The Metabolome-Wide Signature of Major Depressive Disorder |
title_short | The Metabolome-Wide Signature of Major Depressive Disorder |
title_sort | metabolome-wide signature of major depressive disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543022/ https://www.ncbi.nlm.nih.gov/pubmed/37790319 http://dx.doi.org/10.21203/rs.3.rs-3127544/v1 |
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