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Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes.
García-Gavilán, Jesús; Nishi, Stephanie K; Paz-Graniel, Indira; Guasch-Ferré, Marta; Razquin, Cristina; Clish, Clary B; Toledo, Estefanía; Ruiz-Canela, Miguel; Corella, Dolores; Deik, Amy; Drouin-Chartier, Jean-Philippe; Wittenbecher, Clemens; Babio, Nancy; Estruch, Ramon; Ros, Emilio; Fitó, Montserrat; Arós, Fernando; Fiol, Miquel; Serra-Majem, Lluís; Liang, Liming; Martínez-González, Miguel A; Hu, Frank B; Salas-Salvadó, Jordi.
Afiliação
  • García-Gavilán J; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, 43202, Spain.
  • Nishi SK; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain.
  • Paz-Graniel I; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Guasch-Ferré M; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, 43202, Spain.
  • Razquin C; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain.
  • Clish CB; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Toledo E; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, M5C 2T2, Canada.
  • Ruiz-Canela M; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, M5C 2T2, Canada.
  • Corella D; Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, 43202, Spain.
  • Deik A; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain.
  • Drouin-Chartier JP; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Wittenbecher C; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA.
  • Babio N; Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
  • Estruch R; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Ros E; Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, 31008, Spain.
  • Fitó M; The Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
  • Arós F; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Fiol M; Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, 31008, Spain.
  • Serra-Majem L; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Liang L; Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, 31008, Spain.
  • Martínez-González MA; Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
  • Hu FB; Department of Preventive Medicine, University of Valencia, Valencia, 46020, Spain.
  • Salas-Salvadó J; The Broad Institute of Harvard and MIT, Boston, MA, 02142, USA.
Mol Nutr Food Res ; 66(23): e2200145, 2022 12.
Article em En | MEDLINE | ID: mdl-36214069
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Carne Vermelha Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Mol Nutr Food Res Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Carne Vermelha Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Mol Nutr Food Res Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha