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Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts

Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, pho...

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Autores principales: Floegel, Anna, Kühn, Tilman, Sookthai, Disorn, Johnson, Theron, Prehn, Cornelia, Rolle-Kampczyk, Ulrike, Otto, Wolfgang, Weikert, Cornelia, Illig, Thomas, von Bergen, Martin, Adamski, Jerzy, Boeing, Heiner, Kaaks, Rudolf, Pischon, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803284/
https://www.ncbi.nlm.nih.gov/pubmed/29181692
http://dx.doi.org/10.1007/s10654-017-0333-0
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author Floegel, Anna
Kühn, Tilman
Sookthai, Disorn
Johnson, Theron
Prehn, Cornelia
Rolle-Kampczyk, Ulrike
Otto, Wolfgang
Weikert, Cornelia
Illig, Thomas
von Bergen, Martin
Adamski, Jerzy
Boeing, Heiner
Kaaks, Rudolf
Pischon, Tobias
author_facet Floegel, Anna
Kühn, Tilman
Sookthai, Disorn
Johnson, Theron
Prehn, Cornelia
Rolle-Kampczyk, Ulrike
Otto, Wolfgang
Weikert, Cornelia
Illig, Thomas
von Bergen, Martin
Adamski, Jerzy
Boeing, Heiner
Kaaks, Rudolf
Pischon, Tobias
author_sort Floegel, Anna
collection PubMed
description Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, phospholipids and hexose, with risk of myocardial infarction (MI) and ischemic stroke in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) and Heidelberg (25,540 adults) cohorts. Using case-cohort designs, we measured metabolites among individuals who were free of CVD and diabetes at blood draw but developed MI (n = 204 and n = 228) or stroke (n = 147 and n = 121) during follow-up (mean, 7.8 and 7.3 years) and among randomly drawn subcohorts (n = 2214 and n = 770). We used Cox regression analysis and combined results using meta-analysis. Independent of classical CVD risk factors, ten metabolites were associated with risk of MI in both cohorts, including sphingomyelins, diacyl-phosphatidylcholines and acyl-alkyl-phosphatidylcholines with pooled relative risks in the range of 1.21–1.40 per one standard deviation increase in metabolite concentrations. The metabolites showed positive correlations with total- and LDL-cholesterol (r ranged from 0.13 to 0.57). When additionally adjusting for total-, LDL- and HDL-cholesterol, triglycerides and C-reactive protein, acyl-alkyl-phosphatidylcholine C36:3 and diacyl-phosphatidylcholines C38:3 and C40:4 remained associated with risk of MI. When added to classical CVD risk models these metabolites further improved CVD prediction (c-statistics increased from 0.8365 to 0.8384 in EPIC-Potsdam and from 0.8344 to 0.8378 in EPIC-Heidelberg). None of the metabolites was consistently associated with stroke risk. Alterations in sphingomyelin and phosphatidylcholine metabolism, and particularly metabolites of the arachidonic acid pathway are independently associated with risk of MI in healthy adults. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-017-0333-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-58032842018-02-14 Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts Floegel, Anna Kühn, Tilman Sookthai, Disorn Johnson, Theron Prehn, Cornelia Rolle-Kampczyk, Ulrike Otto, Wolfgang Weikert, Cornelia Illig, Thomas von Bergen, Martin Adamski, Jerzy Boeing, Heiner Kaaks, Rudolf Pischon, Tobias Eur J Epidemiol Cardiovascular Disease Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, phospholipids and hexose, with risk of myocardial infarction (MI) and ischemic stroke in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) and Heidelberg (25,540 adults) cohorts. Using case-cohort designs, we measured metabolites among individuals who were free of CVD and diabetes at blood draw but developed MI (n = 204 and n = 228) or stroke (n = 147 and n = 121) during follow-up (mean, 7.8 and 7.3 years) and among randomly drawn subcohorts (n = 2214 and n = 770). We used Cox regression analysis and combined results using meta-analysis. Independent of classical CVD risk factors, ten metabolites were associated with risk of MI in both cohorts, including sphingomyelins, diacyl-phosphatidylcholines and acyl-alkyl-phosphatidylcholines with pooled relative risks in the range of 1.21–1.40 per one standard deviation increase in metabolite concentrations. The metabolites showed positive correlations with total- and LDL-cholesterol (r ranged from 0.13 to 0.57). When additionally adjusting for total-, LDL- and HDL-cholesterol, triglycerides and C-reactive protein, acyl-alkyl-phosphatidylcholine C36:3 and diacyl-phosphatidylcholines C38:3 and C40:4 remained associated with risk of MI. When added to classical CVD risk models these metabolites further improved CVD prediction (c-statistics increased from 0.8365 to 0.8384 in EPIC-Potsdam and from 0.8344 to 0.8378 in EPIC-Heidelberg). None of the metabolites was consistently associated with stroke risk. Alterations in sphingomyelin and phosphatidylcholine metabolism, and particularly metabolites of the arachidonic acid pathway are independently associated with risk of MI in healthy adults. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-017-0333-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2017-11-27 2018 /pmc/articles/PMC5803284/ /pubmed/29181692 http://dx.doi.org/10.1007/s10654-017-0333-0 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Cardiovascular Disease
Floegel, Anna
Kühn, Tilman
Sookthai, Disorn
Johnson, Theron
Prehn, Cornelia
Rolle-Kampczyk, Ulrike
Otto, Wolfgang
Weikert, Cornelia
Illig, Thomas
von Bergen, Martin
Adamski, Jerzy
Boeing, Heiner
Kaaks, Rudolf
Pischon, Tobias
Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title_full Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title_fullStr Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title_full_unstemmed Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title_short Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
title_sort serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two german prospective cohorts
topic Cardiovascular Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803284/
https://www.ncbi.nlm.nih.gov/pubmed/29181692
http://dx.doi.org/10.1007/s10654-017-0333-0
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