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Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention

BACKGROUND: Self-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging. OBJECTIVES: We aimed to derive and validate scores based on plasma metab...

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Autores principales: Li, Chunxiao, Imamura, Fumiaki, Wedekind, Roland, Stewart, Isobel D, Pietzner, Maik, Wheeler, Eleanor, Forouhi, Nita G, Langenberg, Claudia, Scalbert, Augustin, Wareham, Nicholas J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348983/
https://www.ncbi.nlm.nih.gov/pubmed/35754192
http://dx.doi.org/10.1093/ajcn/nqac094
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author Li, Chunxiao
Imamura, Fumiaki
Wedekind, Roland
Stewart, Isobel D
Pietzner, Maik
Wheeler, Eleanor
Forouhi, Nita G
Langenberg, Claudia
Scalbert, Augustin
Wareham, Nicholas J
author_facet Li, Chunxiao
Imamura, Fumiaki
Wedekind, Roland
Stewart, Isobel D
Pietzner, Maik
Wheeler, Eleanor
Forouhi, Nita G
Langenberg, Claudia
Scalbert, Augustin
Wareham, Nicholas J
author_sort Li, Chunxiao
collection PubMed
description BACKGROUND: Self-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging. OBJECTIVES: We aimed to derive and validate scores based on plasma metabolites for types of meat consumption. For the most predictive score, we aimed to test whether the included metabolites varied with change in meat consumption, and whether the score was associated with incidence of type 2 diabetes (T2D) and other noncommunicable diseases. METHODS: We derived scores based on 781 plasma metabolites for red meat, processed meat, and poultry consumption assessed with 7-d food records among 11,432 participants in the EPIC-Norfolk (European Prospective Investigation into Cancer and Nutrition-Norfolk) cohort. The scores were then tested for internal validity in an independent subset (n = 853) of the same cohort. In focused analysis on the red meat metabolite score, we examined whether the metabolites constituting the score were also associated with meat intake in a randomized crossover dietary intervention trial of meat (n = 12, Lyon, France). In the EPIC-Norfolk study, we assessed the association of the red meat metabolite score with T2D incidence (n = 1478) and other health endpoints. RESULTS: The best-performing score was for red meat, comprising 139 metabolites which accounted for 17% of the explained variance of red meat consumption in the validation set. In the intervention, 11 top-ranked metabolites in the red meat metabolite score increased significantly after red meat consumption. In the EPIC-Norfolk study, the red meat metabolite score was associated with T2D incidence (adjusted HR per SD: 1.17; 95% CI: 1.10, 1.24). CONCLUSIONS: The red meat metabolite score derived and validated in this study contains metabolites directly derived from meat consumption and is associated with T2D risk. These findings suggest the potential for objective assessment of dietary components and their application for understanding diet–disease associations. The trial in Lyon, France, was registered at clinicaltrials.gov as NCT03354130.
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spelling pubmed-93489832022-08-05 Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention Li, Chunxiao Imamura, Fumiaki Wedekind, Roland Stewart, Isobel D Pietzner, Maik Wheeler, Eleanor Forouhi, Nita G Langenberg, Claudia Scalbert, Augustin Wareham, Nicholas J Am J Clin Nutr Original Research Communications BACKGROUND: Self-reported meat consumption is associated with disease risk but objective assessment of different dimensions of this heterogeneous dietary exposure in observational and interventional studies remains challenging. OBJECTIVES: We aimed to derive and validate scores based on plasma metabolites for types of meat consumption. For the most predictive score, we aimed to test whether the included metabolites varied with change in meat consumption, and whether the score was associated with incidence of type 2 diabetes (T2D) and other noncommunicable diseases. METHODS: We derived scores based on 781 plasma metabolites for red meat, processed meat, and poultry consumption assessed with 7-d food records among 11,432 participants in the EPIC-Norfolk (European Prospective Investigation into Cancer and Nutrition-Norfolk) cohort. The scores were then tested for internal validity in an independent subset (n = 853) of the same cohort. In focused analysis on the red meat metabolite score, we examined whether the metabolites constituting the score were also associated with meat intake in a randomized crossover dietary intervention trial of meat (n = 12, Lyon, France). In the EPIC-Norfolk study, we assessed the association of the red meat metabolite score with T2D incidence (n = 1478) and other health endpoints. RESULTS: The best-performing score was for red meat, comprising 139 metabolites which accounted for 17% of the explained variance of red meat consumption in the validation set. In the intervention, 11 top-ranked metabolites in the red meat metabolite score increased significantly after red meat consumption. In the EPIC-Norfolk study, the red meat metabolite score was associated with T2D incidence (adjusted HR per SD: 1.17; 95% CI: 1.10, 1.24). CONCLUSIONS: The red meat metabolite score derived and validated in this study contains metabolites directly derived from meat consumption and is associated with T2D risk. These findings suggest the potential for objective assessment of dietary components and their application for understanding diet–disease associations. The trial in Lyon, France, was registered at clinicaltrials.gov as NCT03354130. Oxford University Press 2022-06-27 /pmc/articles/PMC9348983/ /pubmed/35754192 http://dx.doi.org/10.1093/ajcn/nqac094 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Communications
Li, Chunxiao
Imamura, Fumiaki
Wedekind, Roland
Stewart, Isobel D
Pietzner, Maik
Wheeler, Eleanor
Forouhi, Nita G
Langenberg, Claudia
Scalbert, Augustin
Wareham, Nicholas J
Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title_full Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title_fullStr Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title_full_unstemmed Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title_short Development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
title_sort development and validation of a metabolite score for red meat intake: an observational cohort study and randomized controlled dietary intervention
topic Original Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348983/
https://www.ncbi.nlm.nih.gov/pubmed/35754192
http://dx.doi.org/10.1093/ajcn/nqac094
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