Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study

Little is known about the metabolome fingerprint of pulse consumption. The study of robust and accurate biomarkers for pulse dietary assessment has great value for nutritional epidemiology regarding health benefits and their mechanisms. To characterize the fingerprinting of dietary pulses (chickpeas...

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Autores: Madrid Gambín, Francisco Javier, Llorach, Rafael, Vázquez Fresno, Rosa, Urpí Sardà, Mireia, Almanza Aguilera, Enrique, Garcia Aloy, Mar, Estruch Riba, Ramon, Corella Piquer, Dolores, Andrés Lacueva, Ma. Cristina
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/109123
Acceso en línea:https://hdl.handle.net/2445/109123
Access Level:acceso abierto
Palabra clave:Llegums
Metabòlits
Ressonància magnètica nuclear
Orina
Marcadors bioquímics
Legumes
Metabolites
Nuclear magnetic resonance
Urine
Biochemical markers
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spelling Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED studyMadrid Gambín, Francisco JavierLlorach, RafaelVázquez Fresno, RosaUrpí Sardà, MireiaAlmanza Aguilera, EnriqueGarcia Aloy, MarEstruch Riba, RamonCorella Piquer, DoloresAndrés Lacueva, Ma. CristinaLlegumsMetabòlitsRessonància magnètica nuclearOrinaMarcadors bioquímicsLegumesMetabolitesNuclear magnetic resonanceUrineBiochemical markersLittle is known about the metabolome fingerprint of pulse consumption. The study of robust and accurate biomarkers for pulse dietary assessment has great value for nutritional epidemiology regarding health benefits and their mechanisms. To characterize the fingerprinting of dietary pulses (chickpeas, lentils and beans), spot urine samples from a subcohort from the PREDIMED study were stratified, using a validated food frequency questionnaire. Non-pulse consumers (≤ 4 g/day of pulse intake) and habitual pulse consumers (≥ 25 g/day of pulse intake) were analysed using a 1H-NMR metabolomics approach combined with multi- and univariate data analysis. Pulse consumption showed differences through 16 metabolites coming from (i) choline metabolism, (ii) protein-related compounds, and (iii) energy metabolism (including lower urinary glucose). Stepwise logistic regression analysis was applied to design a combined model of pulse exposure, which resulted in glutamine, dimethylamine and 3-methylhistidine. This model was evaluated by receiver operating characteristic curve (AUC > 90% in both training and validation sets). The application of NMR-based metabolomics to pulse exposure highlighted new candidates for biomarkers of pulse consumption, the role of choline metabolism and the impact on energy metabolism, generating new hypotheses on energy modulation. Further intervention studies will confirm these findings.American Chemical Society2017201820172017info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/109123Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1021/acs.jproteome.6b00860Journal of Proteome Research, 2017, vol.https://doi.org/10.1021/acs.jproteome.6b00860(c) American Chemical Society , 2017info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1091232026-05-29T05:05:01Z
dc.title.none.fl_str_mv Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
title Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
spellingShingle Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
Madrid Gambín, Francisco Javier
Llegums
Metabòlits
Ressonància magnètica nuclear
Orina
Marcadors bioquímics
Legumes
Metabolites
Nuclear magnetic resonance
Urine
Biochemical markers
title_short Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
title_full Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
title_fullStr Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
title_full_unstemmed Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
title_sort Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study
dc.creator.none.fl_str_mv Madrid Gambín, Francisco Javier
Llorach, Rafael
Vázquez Fresno, Rosa
Urpí Sardà, Mireia
Almanza Aguilera, Enrique
Garcia Aloy, Mar
Estruch Riba, Ramon
Corella Piquer, Dolores
Andrés Lacueva, Ma. Cristina
author Madrid Gambín, Francisco Javier
author_facet Madrid Gambín, Francisco Javier
Llorach, Rafael
Vázquez Fresno, Rosa
Urpí Sardà, Mireia
Almanza Aguilera, Enrique
Garcia Aloy, Mar
Estruch Riba, Ramon
Corella Piquer, Dolores
Andrés Lacueva, Ma. Cristina
author_role author
author2 Llorach, Rafael
Vázquez Fresno, Rosa
Urpí Sardà, Mireia
Almanza Aguilera, Enrique
Garcia Aloy, Mar
Estruch Riba, Ramon
Corella Piquer, Dolores
Andrés Lacueva, Ma. Cristina
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Llegums
Metabòlits
Ressonància magnètica nuclear
Orina
Marcadors bioquímics
Legumes
Metabolites
Nuclear magnetic resonance
Urine
Biochemical markers
topic Llegums
Metabòlits
Ressonància magnètica nuclear
Orina
Marcadors bioquímics
Legumes
Metabolites
Nuclear magnetic resonance
Urine
Biochemical markers
description Little is known about the metabolome fingerprint of pulse consumption. The study of robust and accurate biomarkers for pulse dietary assessment has great value for nutritional epidemiology regarding health benefits and their mechanisms. To characterize the fingerprinting of dietary pulses (chickpeas, lentils and beans), spot urine samples from a subcohort from the PREDIMED study were stratified, using a validated food frequency questionnaire. Non-pulse consumers (≤ 4 g/day of pulse intake) and habitual pulse consumers (≥ 25 g/day of pulse intake) were analysed using a 1H-NMR metabolomics approach combined with multi- and univariate data analysis. Pulse consumption showed differences through 16 metabolites coming from (i) choline metabolism, (ii) protein-related compounds, and (iii) energy metabolism (including lower urinary glucose). Stepwise logistic regression analysis was applied to design a combined model of pulse exposure, which resulted in glutamine, dimethylamine and 3-methylhistidine. This model was evaluated by receiver operating characteristic curve (AUC > 90% in both training and validation sets). The application of NMR-based metabolomics to pulse exposure highlighted new candidates for biomarkers of pulse consumption, the role of choline metabolism and the impact on energy metabolism, generating new hypotheses on energy modulation. Further intervention studies will confirm these findings.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/109123
url https://hdl.handle.net/2445/109123
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1021/acs.jproteome.6b00860
Journal of Proteome Research, 2017, vol.
https://doi.org/10.1021/acs.jproteome.6b00860
dc.rights.none.fl_str_mv (c) American Chemical Society , 2017
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Chemical Society , 2017
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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