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Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial

SCOPE: Lack of biomarkers is a challenge for the accurate assessment of protein intake and interpretation of observational study data. The study aims to identify biomarkers of a protein‐rich dietary pattern. METHODS AND RESULTS: The Optimal Macronutrient Intake Trial to Prevent Heart Disease (OmniHe...

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Autores principales: Kim, Hyunju, Lichtenstein, Alice H., White, Karen, Wong, Kari E., Miller, Edgar R., Coresh, Josef, Appel, Lawrence J., Rebholz, Casey M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930517/
https://www.ncbi.nlm.nih.gov/pubmed/35081272
http://dx.doi.org/10.1002/mnfr.202100890
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author Kim, Hyunju
Lichtenstein, Alice H.
White, Karen
Wong, Kari E.
Miller, Edgar R.
Coresh, Josef
Appel, Lawrence J.
Rebholz, Casey M.
author_facet Kim, Hyunju
Lichtenstein, Alice H.
White, Karen
Wong, Kari E.
Miller, Edgar R.
Coresh, Josef
Appel, Lawrence J.
Rebholz, Casey M.
author_sort Kim, Hyunju
collection PubMed
description SCOPE: Lack of biomarkers is a challenge for the accurate assessment of protein intake and interpretation of observational study data. The study aims to identify biomarkers of a protein‐rich dietary pattern. METHODS AND RESULTS: The Optimal Macronutrient Intake Trial to Prevent Heart Disease (OmniHeart) trial is a randomized cross‐over feeding study which tested three dietary patterns with varied macronutrient content (carbohydrate‐rich; protein‐rich with about half from plant sources; and unsaturated fat‐rich). In 156 adults, differences in log‐transformed plasma metabolite levels at the end of the protein‐ and carbohydrate‐rich diet periods using paired t‐tests is examined. Partial least‐squares discriminant analysis is used to identify a set of metabolites which are influential in discriminating between the protein‐rich versus carbohydrate‐rich dietary patterns. Of 839 known metabolites, 102 metabolites differ significantly between the protein‐rich and the carbohydrate‐rich dietary patterns after Bonferroni correction, the majority of which are lipids (n = 35), amino acids (n = 27), and xenobiotics (n = 24). Metabolites which are the most influential in discriminating between the protein‐rich and the carbohydrate‐rich dietary patterns represent plant protein intake, food or beverage intake, and preparation methods. CONCLUSIONS: The study identifies many plasma metabolites associated with the protein‐rich dietary pattern. If replicated, these metabolites may be used to assess level of adherence to a similar dietary pattern.
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spelling pubmed-89305172022-10-14 Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial Kim, Hyunju Lichtenstein, Alice H. White, Karen Wong, Kari E. Miller, Edgar R. Coresh, Josef Appel, Lawrence J. Rebholz, Casey M. Mol Nutr Food Res Research Articles SCOPE: Lack of biomarkers is a challenge for the accurate assessment of protein intake and interpretation of observational study data. The study aims to identify biomarkers of a protein‐rich dietary pattern. METHODS AND RESULTS: The Optimal Macronutrient Intake Trial to Prevent Heart Disease (OmniHeart) trial is a randomized cross‐over feeding study which tested three dietary patterns with varied macronutrient content (carbohydrate‐rich; protein‐rich with about half from plant sources; and unsaturated fat‐rich). In 156 adults, differences in log‐transformed plasma metabolite levels at the end of the protein‐ and carbohydrate‐rich diet periods using paired t‐tests is examined. Partial least‐squares discriminant analysis is used to identify a set of metabolites which are influential in discriminating between the protein‐rich versus carbohydrate‐rich dietary patterns. Of 839 known metabolites, 102 metabolites differ significantly between the protein‐rich and the carbohydrate‐rich dietary patterns after Bonferroni correction, the majority of which are lipids (n = 35), amino acids (n = 27), and xenobiotics (n = 24). Metabolites which are the most influential in discriminating between the protein‐rich and the carbohydrate‐rich dietary patterns represent plant protein intake, food or beverage intake, and preparation methods. CONCLUSIONS: The study identifies many plasma metabolites associated with the protein‐rich dietary pattern. If replicated, these metabolites may be used to assess level of adherence to a similar dietary pattern. John Wiley and Sons Inc. 2022-02-05 2022-03 /pmc/articles/PMC8930517/ /pubmed/35081272 http://dx.doi.org/10.1002/mnfr.202100890 Text en © 2022 The Authors. Molecular Nutrition & Food Research published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://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 Research Articles
Kim, Hyunju
Lichtenstein, Alice H.
White, Karen
Wong, Kari E.
Miller, Edgar R.
Coresh, Josef
Appel, Lawrence J.
Rebholz, Casey M.
Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title_full Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title_fullStr Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title_full_unstemmed Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title_short Plasma Metabolites Associated with a Protein‐Rich Dietary Pattern: Results from the OmniHeart Trial
title_sort plasma metabolites associated with a protein‐rich dietary pattern: results from the omniheart trial
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930517/
https://www.ncbi.nlm.nih.gov/pubmed/35081272
http://dx.doi.org/10.1002/mnfr.202100890
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