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Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts
OBJECTIVE: To conduct a comprehensive analysis of circulating metabolites and incident stroke in large prospective population-based settings. METHODS: We investigated the association of metabolites with risk of stroke in 7 prospective cohort studies including 1,791 incident stroke events among 38,79...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055347/ https://www.ncbi.nlm.nih.gov/pubmed/33268560 http://dx.doi.org/10.1212/WNL.0000000000011236 |
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author | Vojinovic, Dina Kalaoja, Marita Trompet, Stella Fischer, Krista Shipley, Martin J. Li, Shuo Havulinna, Aki S. Perola, Markus Salomaa, Veikko Yang, Qiong Sattar, Naveed Jousilahti, Pekka Amin, Najaf Satizabal, Claudia L. Taba, Nele Sabayan, Behnam Vasan, Ramachandran S. Ikram, M. Arfan Stott, David J. Ala-Korpela, Mika Jukema, J. Wouter Seshadri, Sudha Kettunen, Johannes Kivimaki, Mika Esko, Tonu van Duijn, Cornelia M. |
author_facet | Vojinovic, Dina Kalaoja, Marita Trompet, Stella Fischer, Krista Shipley, Martin J. Li, Shuo Havulinna, Aki S. Perola, Markus Salomaa, Veikko Yang, Qiong Sattar, Naveed Jousilahti, Pekka Amin, Najaf Satizabal, Claudia L. Taba, Nele Sabayan, Behnam Vasan, Ramachandran S. Ikram, M. Arfan Stott, David J. Ala-Korpela, Mika Jukema, J. Wouter Seshadri, Sudha Kettunen, Johannes Kivimaki, Mika Esko, Tonu van Duijn, Cornelia M. |
author_sort | Vojinovic, Dina |
collection | PubMed |
description | OBJECTIVE: To conduct a comprehensive analysis of circulating metabolites and incident stroke in large prospective population-based settings. METHODS: We investigated the association of metabolites with risk of stroke in 7 prospective cohort studies including 1,791 incident stroke events among 38,797 participants in whom circulating metabolites were measured by nuclear magnetic resonance technology. The relationship between metabolites and stroke was assessed with Cox proportional hazards regression models. The analyses were performed considering all incident stroke events and ischemic and hemorrhagic events separately. RESULTS: The analyses revealed 10 significant metabolite associations. Amino acid histidine (hazard ratio [HR] per SD 0.90, 95% confidence interval [CI] 0.85, 0.94; p = 4.45 × 10(−5)), glycolysis-related metabolite pyruvate (HR per SD 1.09, 95% CI 1.04, 1.14; p = 7.45 × 10(−4)), acute-phase reaction marker glycoprotein acetyls (HR per SD 1.09, 95% CI 1.03, 1.15; p = 1.27 × 10(−3)), cholesterol in high-density lipoprotein (HDL) 2, and several other lipoprotein particles were associated with risk of stroke. When focused on incident ischemic stroke, a significant association was observed with phenylalanine (HR per SD 1.12, 95% CI 1.05, 1.19; p = 4.13 × 10(−4)) and total and free cholesterol in large HDL particles. CONCLUSIONS: We found association of amino acids, glycolysis-related metabolites, acute-phase reaction markers, and several lipoprotein subfractions with the risk of stroke. These findings support the potential of metabolomics to provide new insights into the metabolic changes preceding stroke. |
format | Online Article Text |
id | pubmed-8055347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-80553472021-04-20 Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts Vojinovic, Dina Kalaoja, Marita Trompet, Stella Fischer, Krista Shipley, Martin J. Li, Shuo Havulinna, Aki S. Perola, Markus Salomaa, Veikko Yang, Qiong Sattar, Naveed Jousilahti, Pekka Amin, Najaf Satizabal, Claudia L. Taba, Nele Sabayan, Behnam Vasan, Ramachandran S. Ikram, M. Arfan Stott, David J. Ala-Korpela, Mika Jukema, J. Wouter Seshadri, Sudha Kettunen, Johannes Kivimaki, Mika Esko, Tonu van Duijn, Cornelia M. Neurology Article OBJECTIVE: To conduct a comprehensive analysis of circulating metabolites and incident stroke in large prospective population-based settings. METHODS: We investigated the association of metabolites with risk of stroke in 7 prospective cohort studies including 1,791 incident stroke events among 38,797 participants in whom circulating metabolites were measured by nuclear magnetic resonance technology. The relationship between metabolites and stroke was assessed with Cox proportional hazards regression models. The analyses were performed considering all incident stroke events and ischemic and hemorrhagic events separately. RESULTS: The analyses revealed 10 significant metabolite associations. Amino acid histidine (hazard ratio [HR] per SD 0.90, 95% confidence interval [CI] 0.85, 0.94; p = 4.45 × 10(−5)), glycolysis-related metabolite pyruvate (HR per SD 1.09, 95% CI 1.04, 1.14; p = 7.45 × 10(−4)), acute-phase reaction marker glycoprotein acetyls (HR per SD 1.09, 95% CI 1.03, 1.15; p = 1.27 × 10(−3)), cholesterol in high-density lipoprotein (HDL) 2, and several other lipoprotein particles were associated with risk of stroke. When focused on incident ischemic stroke, a significant association was observed with phenylalanine (HR per SD 1.12, 95% CI 1.05, 1.19; p = 4.13 × 10(−4)) and total and free cholesterol in large HDL particles. CONCLUSIONS: We found association of amino acids, glycolysis-related metabolites, acute-phase reaction markers, and several lipoprotein subfractions with the risk of stroke. These findings support the potential of metabolomics to provide new insights into the metabolic changes preceding stroke. Lippincott Williams & Wilkins 2021-02-23 /pmc/articles/PMC8055347/ /pubmed/33268560 http://dx.doi.org/10.1212/WNL.0000000000011236 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Article Vojinovic, Dina Kalaoja, Marita Trompet, Stella Fischer, Krista Shipley, Martin J. Li, Shuo Havulinna, Aki S. Perola, Markus Salomaa, Veikko Yang, Qiong Sattar, Naveed Jousilahti, Pekka Amin, Najaf Satizabal, Claudia L. Taba, Nele Sabayan, Behnam Vasan, Ramachandran S. Ikram, M. Arfan Stott, David J. Ala-Korpela, Mika Jukema, J. Wouter Seshadri, Sudha Kettunen, Johannes Kivimaki, Mika Esko, Tonu van Duijn, Cornelia M. Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title | Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title_full | Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title_fullStr | Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title_full_unstemmed | Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title_short | Association of Circulating Metabolites in Plasma or Serum and Risk of Stroke: Meta-analysis From 7 Prospective Cohorts |
title_sort | association of circulating metabolites in plasma or serum and risk of stroke: meta-analysis from 7 prospective cohorts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055347/ https://www.ncbi.nlm.nih.gov/pubmed/33268560 http://dx.doi.org/10.1212/WNL.0000000000011236 |
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