Articles producció científica> Bioquímica i Biotecnologia

An NMR metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study

  • Identification data

    Identifier: imarina:1961512
    Authors:
    Vazquez-Fresno, RosaLlorach, RafaelUrpi-Sarda, MireiaKhymenets, OlhaBullo, MonicaCorella, DoloresFito, MontserratAngel Martinez-Gonzalez, MiguelEstruch, RamonAndres-Lacueva, Cristina
  • Others:

    Author, as appears in the article.: Vazquez-Fresno, Rosa; Llorach, Rafael; Urpi-Sarda, Mireia; Khymenets, Olha; Bullo, Monica; Corella, Dolores; Fito, Montserrat; Angel Martinez-Gonzalez, Miguel; Estruch, Ramon; Andres-Lacueva, Cristina
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Bulló Bonet, Mònica / Urpi Sarda, Mireia
    Keywords: Wine interventional study Wine Urinary excretion Unclassified drug Tartaric acid Sensitivity and specificity Reproducibility Receiver operating characteristic Randomized controlled trial Proton nuclear magnetic resonance Prospective study Photon correlation spectroscopy Nutrimetabolomics Nuclear magnetic resonance Nmr Metabolomics Mediterranean diet Measurement accuracy Mannitol Male Lifestyle Interventional study Intervention study Human Food frequency questionnaire Female Ethyl glucuronide Dietary intake Crossover procedure Controlled study Cohort study Cardiovascular risk Biomarkers Biological marker Assessment of humans Article Area under the curve Alcohol consumption Alcohol Adult 2, 3 butanediol
    Thematic Areas: Química Odontología Engenharias iv Endocrinology, diabetes and metabolism Endocrinology & metabolism Educação física Clinical biochemistry Ciências biológicas ii Ciências agrárias i Biotecnología Biochemistry
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 15733882
    Author's mail: mireia.urpi@urv.cat monica.bullo@urv.cat
    Author identifier: 0000-0002-0218-7046
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s11306-014-0735-x
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Metabolomics. 11 (4): 797-806
    APA: Vazquez-Fresno, Rosa; Llorach, Rafael; Urpi-Sarda, Mireia; Khymenets, Olha; Bullo, Monica; Corella, Dolores; Fito, Montserrat; Angel Martinez-Gonzalez (2015). An NMR metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study. Metabolomics, 11(4), 797-806. DOI: 10.1007/s11306-014-0735-x
    Article's DOI: 10.1007/s11306-014-0735-x
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2015
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry,Clinical Biochemistry,Endocrinology & Metabolism,Endocrinology, Diabetes and Metabolism
    Wine interventional study
    Wine
    Urinary excretion
    Unclassified drug
    Tartaric acid
    Sensitivity and specificity
    Reproducibility
    Receiver operating characteristic
    Randomized controlled trial
    Proton nuclear magnetic resonance
    Prospective study
    Photon correlation spectroscopy
    Nutrimetabolomics
    Nuclear magnetic resonance
    Nmr
    Metabolomics
    Mediterranean diet
    Measurement accuracy
    Mannitol
    Male
    Lifestyle
    Interventional study
    Intervention study
    Human
    Food frequency questionnaire
    Female
    Ethyl glucuronide
    Dietary intake
    Crossover procedure
    Controlled study
    Cohort study
    Cardiovascular risk
    Biomarkers
    Biological marker
    Assessment of humans
    Article
    Area under the curve
    Alcohol consumption
    Alcohol
    Adult
    2, 3 butanediol
    Química
    Odontología
    Engenharias iv
    Endocrinology, diabetes and metabolism
    Endocrinology & metabolism
    Educação física
    Clinical biochemistry
    Ciências biológicas ii
    Ciências agrárias i
    Biotecnología
    Biochemistry
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