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 journal › Journal article › Research › peer-review
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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