Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study

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Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake : A Metabolomics Approach within the PREDIMED Study. / Hernández-Alonso, Pablo; Becerra-Tomás, Nerea; Papandreou, Christopher; Bulló, Mònica; Guasch-Ferré, Marta; Toledo, Estefanía; Ruiz-Canela, Miguel; Clish, Clary B; Corella, Dolores; Dennis, Courtney; Deik, Amy; Wang, Dong D; Razquin, Cristina; Drouin-Chartier, Jean-Philippe; 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. 64, No. 12, e2000178, 06.2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hernández-Alonso, P, Becerra-Tomás, N, Papandreou, C, Bulló, M, Guasch-Ferré, M, Toledo, E, Ruiz-Canela, M, Clish, CB, Corella, D, Dennis, C, Deik, A, Wang, DD, Razquin, C, Drouin-Chartier, J-P, Estruch, R, Ros, E, Fitó, M, Arós, F, Fiol, M, Serra-Majem, L, Liang, L, Martínez-González, MA, Hu, FB & Salas-Salvadó, J 2020, 'Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study', Molecular Nutrition & Food Research, vol. 64, no. 12, e2000178. https://doi.org/10.1002/mnfr.202000178

APA

Hernández-Alonso, P., Becerra-Tomás, N., Papandreou, C., Bulló, M., Guasch-Ferré, M., Toledo, E., Ruiz-Canela, M., Clish, C. B., Corella, D., Dennis, C., Deik, A., Wang, D. D., Razquin, C., Drouin-Chartier, J-P., Estruch, R., Ros, E., Fitó, M., Arós, F., Fiol, M., ... Salas-Salvadó, J. (2020). Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study. Molecular Nutrition & Food Research, 64(12), [e2000178]. https://doi.org/10.1002/mnfr.202000178

Vancouver

Hernández-Alonso P, Becerra-Tomás N, Papandreou C, Bulló M, Guasch-Ferré M, Toledo E et al. Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study. Molecular Nutrition & Food Research. 2020 Jun;64(12). e2000178. https://doi.org/10.1002/mnfr.202000178

Author

Hernández-Alonso, Pablo ; Becerra-Tomás, Nerea ; Papandreou, Christopher ; Bulló, Mònica ; Guasch-Ferré, Marta ; Toledo, Estefanía ; Ruiz-Canela, Miguel ; Clish, Clary B ; Corella, Dolores ; Dennis, Courtney ; Deik, Amy ; Wang, Dong D ; Razquin, Cristina ; Drouin-Chartier, Jean-Philippe ; 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 Metabolomics Profiles are Associated with the Amount and Source of Protein Intake : A Metabolomics Approach within the PREDIMED Study. In: Molecular Nutrition & Food Research. 2020 ; Vol. 64, No. 12.

Bibtex

@article{6b127b2e8ce949f1ad18810363f66b8b,
title = "Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake: A Metabolomics Approach within the PREDIMED Study",
abstract = "SCOPE: The plasma metabolomics profiles of protein intake have been rarely investigated. The aim is to identify the distinct plasma metabolomics profiles associated with overall intakes of protein as well as with intakes from animal and plant protein sources.METHODS AND RESULTS: A cross-sectional analysis using data from 1833 participants at high risk of cardiovascular disease is conducted. Associations between 385 identified metabolites and the intake of total, animal protein (AP), and plant protein (PP), and plant-to-animal ratio (PR) are assessed using elastic net continuous regression analyses. A double 10-cross-validation (CV) procedure is used and Pearson correlations coefficients between multi-metabolite weighted models and reported protein intake in each pair of training-validation datasets are calculated. A wide set of metabolites is consistently associated with each protein source evaluated. These metabolites mainly consisted of amino acids and their derivatives, acylcarnitines, different organic acids, and lipid species. Few metabolites overlapped among protein sources (i.e., C14:0 SM, C20:4 carnitine, GABA, and allantoin) but none of them toward the same direction. Regarding AP and PP approaches, C20:4 carnitine and dimethylglycine are positively associated with PP but negatively associated with AP. However, allantoin, C14:0 SM, C38:7 PE plasmalogen, GABA, metronidazole, and trigonelline (N-methylnicotinate) behave contrarily. Ten-CV Pearson correlation coefficients between self-reported protein intake and plasma metabolomics profiles range from 0.21 for PR to 0.32 for total protein.CONCLUSIONS: Different sets of metabolites are associated with total, animal, and plant protein intake. Further studies are needed to assess the contribution of these metabolites in protein biomarkers' discovery and prediction of cardiometabolic alterations.",
keywords = "Aged, Animals, Blood/metabolism, Cardiovascular Diseases/blood, Cross-Sectional Studies, Diabetes Mellitus, Type 2/blood, Dietary Proteins/metabolism, Female, Humans, Male, Metabolomics/methods, Middle Aged, Plant Proteins, Dietary/metabolism",
author = "Pablo Hern{\'a}ndez-Alonso and Nerea Becerra-Tom{\'a}s and Christopher Papandreou and M{\`o}nica Bull{\'o} and Marta Guasch-Ferr{\'e} and Estefan{\'i}a Toledo and Miguel Ruiz-Canela and Clish, {Clary B} and Dolores Corella and Courtney Dennis and Amy Deik and Wang, {Dong D} and Cristina Razquin and Jean-Philippe Drouin-Chartier 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} 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.",
year = "2020",
month = jun,
doi = "10.1002/mnfr.202000178",
language = "English",
volume = "64",
journal = "Molecular Nutrition & Food Research",
issn = "1613-4125",
publisher = "Wiley-VCH",
number = "12",

}

RIS

TY - JOUR

T1 - Plasma Metabolomics Profiles are Associated with the Amount and Source of Protein Intake

T2 - A Metabolomics Approach within the PREDIMED Study

AU - Hernández-Alonso, Pablo

AU - Becerra-Tomás, Nerea

AU - Papandreou, Christopher

AU - Bulló, Mònica

AU - Guasch-Ferré, Marta

AU - Toledo, Estefanía

AU - Ruiz-Canela, Miguel

AU - Clish, Clary B

AU - Corella, Dolores

AU - Dennis, Courtney

AU - Deik, Amy

AU - Wang, Dong D

AU - Razquin, Cristina

AU - Drouin-Chartier, Jean-Philippe

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 - © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

PY - 2020/6

Y1 - 2020/6

N2 - SCOPE: The plasma metabolomics profiles of protein intake have been rarely investigated. The aim is to identify the distinct plasma metabolomics profiles associated with overall intakes of protein as well as with intakes from animal and plant protein sources.METHODS AND RESULTS: A cross-sectional analysis using data from 1833 participants at high risk of cardiovascular disease is conducted. Associations between 385 identified metabolites and the intake of total, animal protein (AP), and plant protein (PP), and plant-to-animal ratio (PR) are assessed using elastic net continuous regression analyses. A double 10-cross-validation (CV) procedure is used and Pearson correlations coefficients between multi-metabolite weighted models and reported protein intake in each pair of training-validation datasets are calculated. A wide set of metabolites is consistently associated with each protein source evaluated. These metabolites mainly consisted of amino acids and their derivatives, acylcarnitines, different organic acids, and lipid species. Few metabolites overlapped among protein sources (i.e., C14:0 SM, C20:4 carnitine, GABA, and allantoin) but none of them toward the same direction. Regarding AP and PP approaches, C20:4 carnitine and dimethylglycine are positively associated with PP but negatively associated with AP. However, allantoin, C14:0 SM, C38:7 PE plasmalogen, GABA, metronidazole, and trigonelline (N-methylnicotinate) behave contrarily. Ten-CV Pearson correlation coefficients between self-reported protein intake and plasma metabolomics profiles range from 0.21 for PR to 0.32 for total protein.CONCLUSIONS: Different sets of metabolites are associated with total, animal, and plant protein intake. Further studies are needed to assess the contribution of these metabolites in protein biomarkers' discovery and prediction of cardiometabolic alterations.

AB - SCOPE: The plasma metabolomics profiles of protein intake have been rarely investigated. The aim is to identify the distinct plasma metabolomics profiles associated with overall intakes of protein as well as with intakes from animal and plant protein sources.METHODS AND RESULTS: A cross-sectional analysis using data from 1833 participants at high risk of cardiovascular disease is conducted. Associations between 385 identified metabolites and the intake of total, animal protein (AP), and plant protein (PP), and plant-to-animal ratio (PR) are assessed using elastic net continuous regression analyses. A double 10-cross-validation (CV) procedure is used and Pearson correlations coefficients between multi-metabolite weighted models and reported protein intake in each pair of training-validation datasets are calculated. A wide set of metabolites is consistently associated with each protein source evaluated. These metabolites mainly consisted of amino acids and their derivatives, acylcarnitines, different organic acids, and lipid species. Few metabolites overlapped among protein sources (i.e., C14:0 SM, C20:4 carnitine, GABA, and allantoin) but none of them toward the same direction. Regarding AP and PP approaches, C20:4 carnitine and dimethylglycine are positively associated with PP but negatively associated with AP. However, allantoin, C14:0 SM, C38:7 PE plasmalogen, GABA, metronidazole, and trigonelline (N-methylnicotinate) behave contrarily. Ten-CV Pearson correlation coefficients between self-reported protein intake and plasma metabolomics profiles range from 0.21 for PR to 0.32 for total protein.CONCLUSIONS: Different sets of metabolites are associated with total, animal, and plant protein intake. Further studies are needed to assess the contribution of these metabolites in protein biomarkers' discovery and prediction of cardiometabolic alterations.

KW - Aged

KW - Animals

KW - Blood/metabolism

KW - Cardiovascular Diseases/blood

KW - Cross-Sectional Studies

KW - Diabetes Mellitus, Type 2/blood

KW - Dietary Proteins/metabolism

KW - Female

KW - Humans

KW - Male

KW - Metabolomics/methods

KW - Middle Aged

KW - Plant Proteins, Dietary/metabolism

U2 - 10.1002/mnfr.202000178

DO - 10.1002/mnfr.202000178

M3 - Journal article

C2 - 32378786

VL - 64

JO - Molecular Nutrition & Food Research

JF - Molecular Nutrition & Food Research

SN - 1613-4125

IS - 12

M1 - e2000178

ER -

ID: 358111990