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A multi-omics approach for understanding the effects of moderate wine consumption on human intestinal health

dc.contributor.authorBelda Aguilar, Ignacio
dc.contributor.authorCueva, Carolina
dc.contributor.authorTamargo, Alba
dc.contributor.authorRavarani, Charles
dc.contributor.authorAcedo, Alberto
dc.contributor.authorBartolomé Villar, Begoña
dc.contributor.authorMoreno-Arribas, M. Victoria
dc.date.accessioned2023-06-17T09:22:46Z
dc.date.available2023-06-17T09:22:46Z
dc.date.issued2021-04-16
dc.description.abstractThe human gut is a highly diverse microbial ecosystem. Although showing a well-defined core of dominant taxa, an interindividual variability exists in microbiome arrangement patterns, and the presence and proportion of specific species, determining individual metabolic features-metabotypes-which govern the health effects of dietary interventions (i.e. polyphenol consumption). Starting with a 19-volunteer human intervention study, divided into low, medium, and high wine-polyphenol-metabolizers, we detected interindividual discrepancies on the effect of wine consumption in gut bacterial alpha-diversity, but a significant homogenization of beta-diversity among moderate wine consumers, independently of their metabotype. In addition, the abundance of key health-related taxa such as Akkermansia sp. increased after moderate wine intake in the group of high polyphenol-metabolizers. Regarding the metabolic activity, significant (p < 0.05) positive correlations in the production of SCFAs were observed after wine intake. Finally, we were able to correlate the microbiome and the metabolome of the three metabotypes, and to identify some metabolites-biomarker species, highlighting the genera Phascolarctobacterium, Pelotomaculum and Prevotella, as positively correlated with polyphenol concentration, and Prevotella, Zymophilus and Eubacterium as positively correlated with SCFAs concentration in faeces. Our results contribute to the evidence of the need of including the microbiome variable in personalized nutrition programs, as different metabotyes respond differently to dietary interventions.
dc.description.departmentDepto. de Genética, Fisiología y Microbiología
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (MICINN)
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipUniversidad Rey Juan Carlos / CSIC.
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/69859
dc.identifier.doi10.1039/d0fo02938f
dc.identifier.issn2042-650X
dc.identifier.officialurlhttps://doi.org/10.1039/d0fo02938f
dc.identifier.urihttps://hdl.handle.net/20.500.14352/8683
dc.journal.titleFood and Function
dc.language.isoeng
dc.page.final4164
dc.page.initial4152
dc.publisherRoyal Society of Chemistry
dc.relation.projectID(AGL2015-64522-C2-R), (PID2019- 108851RB-C21), (PID2019-105834GA-I00)
dc.relation.projectIDALIBIRD-CM 2020( P2018/ BAA-4343)
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.cdu613.2:663.2
dc.subject.ucmDietética y nutrición (Medicina)
dc.subject.ucmGastroenterología y hepatología
dc.subject.unesco3206 Ciencias de la Nutrición
dc.subject.unesco3205.03 Gastroenterología
dc.titleA multi-omics approach for understanding the effects of moderate wine consumption on human intestinal health
dc.typejournal article
dc.volume.number9
dspace.entity.typePublication
relation.isAuthorOfPublicationc83a313c-c648-45d5-884d-d6c49e8e72d7
relation.isAuthorOfPublication.latestForDiscoveryc83a313c-c648-45d5-884d-d6c49e8e72d7

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