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

  • Identification data

    Identifier: imarina:6290484
    Authors:
    Hernandez-Alonso, PabloBecerra-Tomas, NereaPapandreou, ChristopherBullo, MonicaGuasch-Ferre, MartaToledo, EstefaniaRuiz-Canela, MiguelClish, Clary BCorella, DoloresDennis, CourtneyDeik, AmyWang, Dong DRazquin, CristinaDrouin-Chartier, Jean-PhilippeEstruch, RamonRos, EmilioFito, MontserratAros, FernandoFiol, MiquelSerra-Majem, LluisLiang, LimingMartinez-Gonzalez, Miguel AHu, Frank BSalas-Salvado, Jordi
    Abstract:
    The plasma metabolomics profiles of protein intake has been rarely investigated. We aimed to identify the distinct plasma metabolomics profiles associated with overall intakes of protein as well as with intakes from animal and plant protein sources.Cross-sectional analysis using data from 1,833 participants at high risk of cardiovascular disease. Plasma metabolomics analysis was performed using LC-MS. Associations between 385 identified metabolites and the intake of total, animal protein (AP) and plant protein (PP), and plant-to-animal ratio (PR) were assessed using elastic net continuous regression analyses. A double 10-cross-validation (CV) procedure was used and Pearson correlations coefficients between multi-metabolite weighted models and reported protein intake in each pair of training-validation datasets were calculated. A wide set of metabolites was 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 towards the same direction. Regarding AP and PP approaches, C20:4 carnitine and dimethylglycine were positively associated with PP but negatively associated with AP. However, allantoin, C14:0 SM, C38:7 PE plasmalogen, GABA, metronidazole and trigonelline (N-methylnicotinate) behaved contrary. Ten-CV Pearson correlations coefficients between self-reported protein intake and plasma metabolomics profiles ranged from 0.21 for PR to 0.32 for total protein.Different sets of metabolites were associated with total, animal and plant protein intake. Further studies are needed to assess the contribution of these metabolites
  • Others:

    Author, as appears in the article.: Hernandez-Alonso, Pablo; Becerra-Tomas, Nerea; Papandreou, Christopher; Bullo, Monica; Guasch-Ferre, Marta; Toledo, Estefania; 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; Fito, Montserrat; Aros, Fernando; Fiol, Miquel; Serra-Majem, Lluis; Liang, Liming; Martinez-Gonzalez, Miguel A; Hu, Frank B; Salas-Salvado, Jordi
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Becerra Tomás, Nerea / Bulló Bonet, Mònica / Salas Salvadó, Jorge
    Keywords: Validation Protein Plant proteins, dietary Middle aged Metabolomics Metabolites, metabolomics, protein Metabolites Male Liquid chromatography tandem mass spectrometry Lipidomics Lc-ms Increase Humans Female Diets Dietary proteins Diabetes mellitus, type 2 Cross-sectional studies Creatine Carnitine Cardiovascular-disease Cardiovascular diseases Body-weight Blood Biomarkers Beta-cell function Animals Aged Acid
    Abstract: The plasma metabolomics profiles of protein intake has been rarely investigated. We aimed to identify the distinct plasma metabolomics profiles associated with overall intakes of protein as well as with intakes from animal and plant protein sources.Cross-sectional analysis using data from 1,833 participants at high risk of cardiovascular disease. Plasma metabolomics analysis was performed using LC-MS. Associations between 385 identified metabolites and the intake of total, animal protein (AP) and plant protein (PP), and plant-to-animal ratio (PR) were assessed using elastic net continuous regression analyses. A double 10-cross-validation (CV) procedure was used and Pearson correlations coefficients between multi-metabolite weighted models and reported protein intake in each pair of training-validation datasets were calculated. A wide set of metabolites was 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 towards the same direction. Regarding AP and PP approaches, C20:4 carnitine and dimethylglycine were positively associated with PP but negatively associated with AP. However, allantoin, C14:0 SM, C38:7 PE plasmalogen, GABA, metronidazole and trigonelline (N-methylnicotinate) behaved contrary. Ten-CV Pearson correlations coefficients between self-reported protein intake and plasma metabolomics profiles ranged from 0.21 for PR to 0.32 for total protein.Different sets of metabolites were 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. This article is protected by copyright. All rights reserved.This article is protected by copyright. All rights reserved.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 16134125
    Author's mail: nerea.becerra@urv.cat monica.bullo@urv.cat jordi.salas@urv.cat
    Author identifier: 0000-0002-4429-6507 0000-0002-0218-7046 0000-0003-2700-7459
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/abs/10.1002/mnfr.202000178
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Molecular Nutrition & Food Research. 64 (2000178): e2000178-e2000178
    APA: Hernandez-Alonso, Pablo; Becerra-Tomas, Nerea; Papandreou, Christopher; Bullo, Monica; Guasch-Ferre, Marta; Toledo, Estefania; Ruiz-Canela, Miguel; Cl (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(2000178), e2000178-e2000178. DOI: 10.1002/mnfr.202000178
    Article's DOI: 10.1002/mnfr.202000178
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Biotechnology,Food Science,Food Science & Technology
    Validation
    Protein
    Plant proteins, dietary
    Middle aged
    Metabolomics
    Metabolites, metabolomics, protein
    Metabolites
    Male
    Liquid chromatography tandem mass spectrometry
    Lipidomics
    Lc-ms
    Increase
    Humans
    Female
    Diets
    Dietary proteins
    Diabetes mellitus, type 2
    Cross-sectional studies
    Creatine
    Carnitine
    Cardiovascular-disease
    Cardiovascular diseases
    Body-weight
    Blood
    Biomarkers
    Beta-cell function
    Animals
    Aged
    Acid
    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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