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Dietary Pattern Specific Protein Biomarkers for Cardiovascular Disease: A Cross-Sectional Study in 2 Independent Cohorts
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Orthopaedics.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Orthopaedics.ORCID iD: 0000-0002-4421-6466
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Orthopaedics.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Harvard Med Sch, Prevent Med Div, Brigham & Womens Hosp, Boston, MA USA; Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA USA.
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2019 (English)In: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, ISSN 2047-9980, E-ISSN 2047-9980, Vol. 8, no 11, article id e011860Article in journal (Refereed) Published
Abstract [en]

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

Place, publisher, year, edition, pages
2019. Vol. 8, no 11, article id e011860
Keywords [en]
cardiovascular disease, dietary patterns, EpiHealth study, inflammation, proteomics, Swedish Mammography Cohort Clinical
National Category
Nutrition and Dietetics
Identifiers
URN: urn:nbn:se:uu:diva-394981DOI: 10.1161/JAHA.118.011860ISI: 000484576200019PubMedID: 31433701OAI: oai:DiVA.org:uu-394981DiVA, id: diva2:1360225
Funder
Swedish Research Council, 2017-06100Swedish Research Council, 2015-05997Swedish Research Council, 2015-03257Forte, Swedish Research Council for Health, Working Life and Welfare, 2017-00721Swedish Research Council, 2017/49 (180)Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-11Bibliographically approved

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