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

  • Datos identificativos

    Identificador:  imarina:9285878
    Autores:  Garcia-Gavilan, Jesus; Nishi, Stephanie K; Paz-Graniel, Indira; Guasch-Ferre, Marta; Razquin, Cristina; Clish, Clary B; Toledo, Estefania; Ruiz-Canela, Miguel; Corella, Dolores; Deik, Amy; Drouin-Chartier, Jean-Philippe; Wittenbecher, Clemens; Babio, Nancy; Estruch, Ramon; Ros, Emilio; Fito, Montserrat; Aros, Fernando; Fiol, Miquel; Serra-Majem, Lluis; Liang, Liming; Martinez-Gonzalez, Miguel A; Hu, Frank B; Salas-Salvado, Jordi
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Garcia-Gavilan, Jesus; Nishi, Stephanie K; Paz-Graniel, Indira; Guasch-Ferre, Marta; Razquin, Cristina; Clish, Clary B; Toledo, Estefania; Ruiz-Canela, Miguel; Corella, Dolores; Deik, Amy; Drouin-Chartier, Jean-Philippe; Wittenbecher, Clemens; Babio, Nancy; Estruch, Ramon; Ros, Emilio; Fito, Montserrat; Aros, Fernando; Fiol, Miquel; Serra-Majem, Lluis; Liang, Liming; Martinez-Gonzalez, Miguel A; Hu, Frank B; Salas-Salvado, Jordi
    Departamento: Bioquímica i Biotecnologia
    Autor/es de la URV: Babio Sánchez, Nancy Elvira / García Gavilán, Jesús Francisco / Nishi, Stephanie Kimiko / Paz Graniel, Indira del Socorro / Salas Salvadó, Jorge
    Palabras clave: 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
    Resumen: 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.
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: jesusfrancisco.garcia@urv.cat; stephanie.nishi@urv.cat; indiradelsocorro.paz@urv.cat; jesusfrancisco.garcia@urv.cat; indiradelsocorro.paz@urv.cat; jordi.salas@urv.cat; nancy.babio@urv.cat
    Fecha de alta del registro: 2025-02-18
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://onlinelibrary.wiley.com/doi/10.1002/mnfr.202200145
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Molecular Nutrition & Food Research. 66 (23): e2200145-e2200145
    Referencia de l'ítem segons les normes APA: Garcia-Gavilan, Jesus; Nishi, Stephanie K; Paz-Graniel, Indira; Guasch-Ferre, Marta; Razquin, Cristina; Clish, Clary B; Toledo, Estefania; Ruiz-Canela (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
    DOI del artículo: 10.1002/mnfr.202200145
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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