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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: Molecular Nutrition & Food Research, Vol. 66, No. 23, e2200145, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

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, J-P, Wittenbecher, C, Babio, N, Estruch, R, Ros, E, Fitó, M, Arós, F, Fiol, M, Serra-Majem, L, Liang, L, Martínez-González, MA, Hu, FB & Salas-Salvadó, J 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, vol. 66, no. 23, e2200145. https://doi.org/10.1002/mnfr.202200145

APA

García-Gavilán, J., Nishi, S. K., Paz-Graniel, I., Guasch-Ferré, M., Razquin, C., Clish, C. B., Toledo, E., Ruiz-Canela, M., Corella, D., Deik, A., Drouin-Chartier, J-P., Wittenbecher, C., Babio, N., Estruch, R., Ros, E., Fitó, M., Arós, F., Fiol, M., Serra-Majem, L., ... Salas-Salvadó, J. (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]. https://doi.org/10.1002/mnfr.202200145

Vancouver

García-Gavilán J, Nishi SK, Paz-Graniel I, Guasch-Ferré M, Razquin C, Clish CB et al. 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. 2022;66(23). e2200145. https://doi.org/10.1002/mnfr.202200145

Author

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. / Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes. In: Molecular Nutrition & Food Research. 2022 ; Vol. 66, No. 23.

Bibtex

@article{4737fbf07dee4361bd8d1b78bf8a0e1f,
title = "Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes",
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.",
keywords = "Animals, Diabetes Mellitus, Type 2/epidemiology, Risk Factors, Meat/adverse effects, Fishes, Red Meat, Diet",
author = "Jes{\'u}s Garc{\'i}a-Gavil{\'a}n and Nishi, {Stephanie K} and Indira Paz-Graniel and Marta Guasch-Ferr{\'e} and Cristina Razquin and Clish, {Clary B} and Estefan{\'i}a Toledo and Miguel Ruiz-Canela and Dolores Corella and Amy Deik and Jean-Philippe Drouin-Chartier and Clemens Wittenbecher and Nancy Babio and Ramon Estruch and Emilio Ros and Montserrat Fit{\'o} and Fernando Ar{\'o}s and Miquel Fiol and Llu{\'i}s Serra-Majem and Liming Liang and Mart{\'i}nez-Gonz{\'a}lez, {Miguel A} and Hu, {Frank B} and Jordi Salas-Salvad{\'o}",
note = "{\textcopyright} 2022 The Authors. Molecular Nutrition & Food Research published by Wiley-VCH GmbH.",
year = "2022",
doi = "10.1002/mnfr.202200145",
language = "English",
volume = "66",
journal = "Molecular Nutrition & Food Research",
issn = "1613-4125",
publisher = "Wiley-VCH",
number = "23",

}

RIS

TY - JOUR

T1 - Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes

AU - García-Gavilán, Jesús

AU - Nishi, Stephanie K

AU - Paz-Graniel, Indira

AU - Guasch-Ferré, Marta

AU - Razquin, Cristina

AU - Clish, Clary B

AU - Toledo, Estefanía

AU - Ruiz-Canela, Miguel

AU - Corella, Dolores

AU - Deik, Amy

AU - Drouin-Chartier, Jean-Philippe

AU - Wittenbecher, Clemens

AU - Babio, Nancy

AU - Estruch, Ramon

AU - Ros, Emilio

AU - Fitó, Montserrat

AU - Arós, Fernando

AU - Fiol, Miquel

AU - Serra-Majem, Lluís

AU - Liang, Liming

AU - Martínez-González, Miguel A

AU - Hu, Frank B

AU - Salas-Salvadó, Jordi

N1 - © 2022 The Authors. Molecular Nutrition & Food Research published by Wiley-VCH GmbH.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Animals

KW - Diabetes Mellitus, Type 2/epidemiology

KW - Risk Factors

KW - Meat/adverse effects

KW - Fishes

KW - Red Meat

KW - Diet

U2 - 10.1002/mnfr.202200145

DO - 10.1002/mnfr.202200145

M3 - Journal article

C2 - 36214069

VL - 66

JO - Molecular Nutrition & Food Research

JF - Molecular Nutrition & Food Research

SN - 1613-4125

IS - 23

M1 - e2200145

ER -

ID: 347796377