Articles producció científica> Bioquímica i Biotecnologia

Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes

  • Identification data

    Identifier: imarina:9285878
    Authors:
    García-Gavilán, JNishi, SKPaz-Graniel, IGuasch-Ferré, MRazquin, CClish, CBToledo, ERuiz-Canela, MCorella, DDeik, ADrouin-Chartier, JPWittenbecher, CBabio, NEstruch, RRos, EFitó, MArós, FFiol, MSerra-Majem, LLiang, LMMartínez-González, MAHu, FBSalas-Salvadó, J
    Abstract:
    Scope Consumption of meat has been associated with a higher risk of type 2 diabetes (T2D), but if plasma metabolite profiles associated with these foods reflect this relationship is unknown. The objective is to identify a metabolite signature of consumption of total meat (TM), red meat (RM), processed red meat (PRM), and fish and examine if they are associated with T2D risk. Methods and results The discovery population includes 1833 participants from the PREDIMED trial. The internal validation sample includes 1522 participants with available 1-year follow-up metabolomic data. Associations between metabolites and TM, RM, PRM, and fish are evaluated with elastic net regression. Associations between the profiles and incident T2D are estimated using Cox regressions. The profiles included 72 metabolites for TM, 69 for RM, 74 for PRM, and 66 for fish. After adjusting for T2D risk factors, only profiles of TM (Hazard Ratio (HR): 1.25, 95% CI: 1.06-1.49), RM (HR: 1.27, 95% CI: 1.07-1.52), and PRM (HR: 1.27, 95% CI: 1.07-1.51) are associated with T2D. Conclusions The consumption of TM, its subtypes, and fish is associated with different metabolites, some of which have been previously associated with T2D. Scores based on the identified metabolites for TM, RM, and PRM show a significant association with T2D risk.
  • Others:

    Author, as appears in the article.: García-Gavilán, J; Nishi, SK; Paz-Graniel, I; Guasch-Ferré, M; Razquin, C; Clish, CB; Toledo, E; Ruiz-Canela, M; Corella, D; Deik, A; Drouin-Chartier, JP; Wittenbecher, C; Babio, N; Estruch, R; Ros, E; Fitó, M; Arós, F; Fiol, M; Serra-Majem, L; Liang, LM; Martínez-González, MA; Hu, FB; Salas-Salvadó, J
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Babio Sánchez, Nancy Elvira / García Gavilán, Jesús Francisco / Nishi, Stephanie Kimiko / Paz Graniel, Indira del Socorro / Salas Salvadó, Jorge
    Keywords: Type 2 diabetes Risk factors Red meat Red Processed meat Predimed Physical-activity Metabolomics Metaanalysis Meat Foods Fishes Fish Diet Diabetes mellitus, type 2 Cardiovascular-disease Animals Amino-acids Acylcarnitines
    Abstract: Scope Consumption of meat has been associated with a higher risk of type 2 diabetes (T2D), but if plasma metabolite profiles associated with these foods reflect this relationship is unknown. The objective is to identify a metabolite signature of consumption of total meat (TM), red meat (RM), processed red meat (PRM), and fish and examine if they are associated with T2D risk. Methods and results The discovery population includes 1833 participants from the PREDIMED trial. The internal validation sample includes 1522 participants with available 1-year follow-up metabolomic data. Associations between metabolites and TM, RM, PRM, and fish are evaluated with elastic net regression. Associations between the profiles and incident T2D are estimated using Cox regressions. The profiles included 72 metabolites for TM, 69 for RM, 74 for PRM, and 66 for fish. After adjusting for T2D risk factors, only profiles of TM (Hazard Ratio (HR): 1.25, 95% CI: 1.06-1.49), RM (HR: 1.27, 95% CI: 1.07-1.52), and PRM (HR: 1.27, 95% CI: 1.07-1.51) are associated with T2D. Conclusions The consumption of TM, its subtypes, and fish is associated with different metabolites, some of which have been previously associated with T2D. Scores based on the identified metabolites for TM, RM, and PRM show a significant association with T2D risk.
    Thematic Areas: Saúde coletiva Química Nutrição Medicina veterinaria Medicina ii Medicina i Interdisciplinar Food science & technology Food science Farmacia Educação física Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Biotecnología Biotechnology Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: stephanie.nishi@urv.cat jesusfrancisco.garcia@urv.cat indiradelsocorro.paz@urv.cat jesusfrancisco.garcia@urv.cat indiradelsocorro.paz@urv.cat jordi.salas@urv.cat nancy.babio@urv.cat
    Author identifier: 0000-0002-3204-6877 0000-0002-3204-6877 0000-0003-2700-7459 0000-0003-3527-5277
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/10.1002/mnfr.202200145
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Molecular Nutrition & Food Research. 66 (23): e2200145-e2200145
    APA: García-Gavilán, J; Nishi, SK; Paz-Graniel, I; Guasch-Ferré, M; Razquin, C; Clish, CB; Toledo, E; Ruiz-Canela, M; Corella, D; Deik, A; Drouin-Chartier, (2022). Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes. Molecular Nutrition & Food Research, 66(23), e2200145-e2200145. DOI: 10.1002/mnfr.202200145
    Article's DOI: 10.1002/mnfr.202200145
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Biotechnology,Food Science,Food Science & Technology
    Type 2 diabetes
    Risk factors
    Red meat
    Red
    Processed meat
    Predimed
    Physical-activity
    Metabolomics
    Metaanalysis
    Meat
    Foods
    Fishes
    Fish
    Diet
    Diabetes mellitus, type 2
    Cardiovascular-disease
    Animals
    Amino-acids
    Acylcarnitines
    Saúde coletiva
    Química
    Nutrição
    Medicina veterinaria
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science & technology
    Food science
    Farmacia
    Educação física
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Biotechnology
    Astronomia / física
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