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Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts
BACKGROUND: Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585372/ https://www.ncbi.nlm.nih.gov/pubmed/31433701 http://dx.doi.org/10.1161/JAHA.118.011860 |
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author | Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl |
author_facet | Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl |
author_sort | Warensjö Lemming, Eva |
collection | PubMed |
description | BACKGROUND: Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking. METHODS AND RESULTS: Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The healthy and the Western/traditional patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (P‐value range, 5.0×10(−2)–1.4×10(−9)) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the healthy and the light meal pattern but in opposite directions. CONCLUSIONS: We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism. |
format | Online Article Text |
id | pubmed-6585372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65853722019-06-27 Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl J Am Heart Assoc Original Research BACKGROUND: Mechanisms related to the influence of diet on the development of cardiovascular disease are not entirely understood, and protein biomarkers may help to understand these pathways. Studies of biomarkers identified with multiplex proteomic methods and dietary patterns are largely lacking. METHODS AND RESULTS: Dietary patterns were generated through principal component analysis in 2 population‐based Swedish cohorts, the EpiHealth (EpiHealth study; n=20 817 men and women) and the SMCC (Swedish Mammography Cohort Clinical [n=4650 women]). A set of 184 protein cardiovascular disease biomarkers were measured with 2 high‐throughput, multiplex immunoassays. Discovery and replication multivariable linear regression analyses were used to investigate the associations between the principal component analysis–generated dietary patterns and the cardiovascular disease–associated protein biomarkers, first in the EpiHealth (n=2240) and then in the Swedish Mammography Cohort Clinical. Four main dietary patterns were identified in the EpiHealth, and 3 patterns were identified in the Swedish Mammography Cohort Clinical. The healthy and the Western/traditional patterns were found in both cohorts. In the EpiHealth, 57 protein biomarkers were associated with 3 of the dietary patterns, and 41 of these associations were replicated in the Swedish Mammography Cohort Clinical, with effect estimates ranging from 0.057 to 0.083 (P‐value range, 5.0×10(−2)–1.4×10(−9)) for each SD increase in the relative protein concentration. Independent associations were established between dietary patterns and the 21 protein biomarkers. Two proteins, myeloperoxidase and resistin, were associated with both the healthy and the light meal pattern but in opposite directions. CONCLUSIONS: We have discovered and replicated independent associations between dietary patterns and 21 biomarkers linked to cardiovascular disease, which have a role in the pathways related to inflammation, endothelial and immune function, cell adhesion, and metabolism. John Wiley and Sons Inc. 2019-06-01 /pmc/articles/PMC6585372/ /pubmed/31433701 http://dx.doi.org/10.1161/JAHA.118.011860 Text en © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Warensjö Lemming, Eva Byberg, Liisa Stattin, Karl Ahmad, Shafqat Lind, Lars Elmståhl, Sölve Larsson, Susanna C. Wolk, Alicja Michaëlsson, Karl Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title_full | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title_fullStr | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title_full_unstemmed | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title_short | Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross‐Sectional Study in 2 Independent Cohorts |
title_sort | dietary pattern specific protein biomarkers for cardiovascular disease: a cross‐sectional study in 2 independent cohorts |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585372/ https://www.ncbi.nlm.nih.gov/pubmed/31433701 http://dx.doi.org/10.1161/JAHA.118.011860 |
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