Abstract 014: Protein Biomarkers Of Healthy Dietary Patterns In The Atherosclerosis Risk In Communities Study
Abstract only Introduction: Molecular mechanisms underlying the benefits of healthy dietary patterns on chronic diseases are poorly understood. Identifying protein biomarkers of healthy diets can help us characterize biological pathways influenced by diet quality and confirm the validity of establis...
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Published in | Circulation (New York, N.Y.) Vol. 145; no. Suppl_1 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
01.03.2022
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Online Access | Get full text |
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Summary: | Abstract only
Introduction:
Molecular mechanisms underlying the benefits of healthy dietary patterns on chronic diseases are poorly understood. Identifying protein biomarkers of healthy diets can help us characterize biological pathways influenced by diet quality and confirm the validity of established healthy dietary patterns.
Objectives:
To identify protein biomarkers that are associated with diet quality using four metrics of adherence to dietary guidelines and healthy dietary patterns: the Alternative Healthy Eating Index-2010 (AHEI-2010); the Alternate Mediterranean Diet (aMED); the Dietary Approaches to Stop Hypertension (DASH) diet; and the Healthy Eating Index-2015 (HEI-2015).
Methods:
We examined 4,877 plasma proteins among 10,593 participants with available proteomics and dietary data from the Atherosclerosis Risk in Communities (ARIC) Study at visit 3 (1993-1995). Dietary intake data were collected through a food frequency questionnaire, and proteins were measured in plasma using an aptamer-based proteomics assay from SomaLogic. We used multivariable linear regression models to examine the association between proteins and each dietary pattern.
Results:
In the multivariable adjusted model, 276 out of 4,877 proteins (5.7%) were associated with at least one dietary pattern (AHEI: 74; aMED: 37; DASH: 250; HEI: 135; p-value < 0.05/4,877=1.0х10
-5
) (
Figure
). There were 140 proteins that were associated with only one dietary pattern (AHEI: 6; aMED: 0; DASH: 116; HEI: 18).
Conclusion:
Large-scale proteomic analysis identified proteins that are representative of a range of healthy dietary patterns and proteins that are specific to single healthy dietary pattern. Future studies are warranted to link diet-related proteins with clinical outcomes. |
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ISSN: | 0009-7322 1524-4539 |
DOI: | 10.1161/circ.145.suppl_1.014 |