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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 LU ; Larsson, Susanna C. ; Wolk, Alicja and Michaëlsson, Karl (2019) In Journal of the American Heart Association 8(11).
Abstract

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... (More)

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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cardiovascular disease, dietary patterns, EpiHealth study, inflammation, proteomics, Swedish Mammography Cohort Clinical
in
Journal of the American Heart Association
volume
8
issue
11
article number
e011860
publisher
Wiley-Blackwell
external identifiers
  • pmid:31433701
  • scopus:85069742084
ISSN
2047-9980
DOI
10.1161/JAHA.118.011860
language
English
LU publication?
yes
id
2908e967-5493-46a9-9e52-49f3c89ca9db
date added to LUP
2019-08-28 12:51:59
date last changed
2019-11-28 03:00:25
@article{2908e967-5493-46a9-9e52-49f3c89ca9db,
  abstract     = {<p>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<sup>−2</sup>–1.4×10<sup>−9</sup>) 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.</p>},
  author       = {Warensjö Lemming, Eva and Byberg, Liisa and Stattin, Karl and Ahmad, Shafqat and Lind, Lars and Elmståhl, Sölve and Larsson, Susanna C. and Wolk, Alicja and Michaëlsson, Karl},
  issn         = {2047-9980},
  language     = {eng},
  month        = {06},
  number       = {11},
  publisher    = {Wiley-Blackwell},
  series       = {Journal of the American Heart Association},
  title        = {Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease : A Cross-Sectional Study in 2 Independent Cohorts},
  url          = {http://dx.doi.org/10.1161/JAHA.118.011860},
  doi          = {10.1161/JAHA.118.011860},
  volume       = {8},
  year         = {2019},
}