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dc.creatorTarancon Diez, Lauraes
dc.creatorRodríguez-Gallego, Lauraes
dc.creatorRull, Annaes
dc.creatorPeraire, Joaquimes
dc.creatorViladés, Consueloes
dc.creatorPortilla, Irenees
dc.creatorJiménez León, María Reyeses
dc.creatorAlba, Verónicaes
dc.creatorHerrero, Poles
dc.creatorLeal Noval, Manueles
dc.creatorRuiz-Mateos Carmona, Ezequieles
dc.creatorVidal, Francesces
dc.date.accessioned2019-05-28T07:54:10Z
dc.date.available2019-05-28T07:54:10Z
dc.date.issued2019-03
dc.identifier.citationTarancon Diez, L., Rodríguez-Gallego, L., Rull, A., Peraire, J., Viladés, C., Portilla, I.,...,Vidal, F. (2019). Immunometabolism is a key factor for the persistent spontaneous elite control of HIV-1 infection. EBioMedicine, 42, 86-96.
dc.identifier.issn2352-3964es
dc.identifier.urihttps://hdl.handle.net/11441/86884
dc.description.abstractApproximately 25% of elite controllers (ECs) lose their virological control by mechanisms that are only partially known. Recently, immunovirological and proteomic factors have been associated to the loss of spontaneous control. Our aim was to perform a metabolomic approach to identify the underlying mechanistic pathways and potential biomarkers associated with this loss of control. Methods: Plasma samples from EC who spontaneously lost virological control (Transient Controllers, TC, n=8), at two and one year before the loss of control, were comparedwith a control group of ECwho persistently maintained virological control during the same follow-up period (Persistent Controllers, PC, n=8). The determination of metabolites and plasma lipids was performed by GC-qTOF and LC-qTOF using targeted and untargeted approaches. Metabolite levels were associated with the polyfunctionality of HIV-specific CD8+T-cell response. Findings: Our data suggest that, before the loss of control, TCs showed a specific circulating metabolomic profile characterized by aerobic glycolytic metabolism, deregulated mitochondrial function, oxidative stress and increased immunological activation. In addition, CD8+ T-cell polyfunctionality was strongly associated with metabolite levels. Finally, valine was the main differentiating factor between TCs and PCs. Interpretation: All these metabolomic differences should be considered not only as potential biomarkers but also as therapeutic targets in HIV infection.es
dc.description.sponsorshipInstituto Carlos III PI10/02635 PI13/00796 PI16/00503 PI12/02283 PI16/00684 CPII014/00025 FI14/00431 FI17/00186 INT11/240 INT12/282 INT15/226es
dc.description.sponsorshipFondos Europeos para el Desarrollo Regional PI10/02635 PI13/00796 PI16/00503 PI12/02283 PI16/00684 CPII014/00025 FI14/00431 FI17/00186es
dc.description.sponsorshipFEDER PI10/02635 PI13/00796 PI16/00503 PI12/02283 PI16/00684 CPII014/00025 FI14/00431 FI17/00186es
dc.description.sponsorshipFEDER PI10/02635 PI13/00796 PI16/00503 PI12/02283 PI16/00684 CPII014/00025 FI14/00431 FI17/00186es
dc.description.sponsorshipPrograma de Suport als Grups de Recerca 2017SGR948 2014SGR250es
dc.description.sponsorshipGilead Fellowship Program GLD14/293 GLD17/00299es
dc.description.sponsorshipRed de Investigación en Sida RD12/0017/0005 RD16/0025/0006 RD12/0017/0029 RD16/0025/0020es
dc.description.sponsorshipJunta de Andalucía C-0032/17es
dc.description.sponsorshipGeneralitat de Catalunya PERIS SLT002/16/00101es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofEBioMedicine, 42, 86-96.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectElite controllerses
dc.subjectEnergy metabolismes
dc.subjectHIV-1es
dc.subjectImmunometabolismes
dc.subjectLoss of controles
dc.subjectMetabolomic profilees
dc.titleImmunometabolism is a key factor for the persistent spontaneous elite control of HIV-1 infectiones
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationInstituto de Biomedicina de Sevilla (IBIS)es
dc.relation.projectIDPI10/02635es
dc.relation.projectIDPI13/00796es
dc.relation.projectIDPI16/00503es
dc.relation.projectIDPI12/02283es
dc.relation.projectIDPI16/00684es
dc.relation.projectIDCPII014/00025es
dc.relation.projectIDFI14/00431es
dc.relation.projectIDFI17/00186es
dc.relation.projectID2017SGR948es
dc.relation.projectID2014SGR250es
dc.relation.projectIDGLD14/293es
dc.relation.projectIDGLD17/00299es
dc.relation.projectIDRD12/0017/0005es
dc.relation.projectIDRD16/0025/0006es
dc.relation.projectIDRD12/0017/0029es
dc.relation.projectIDRD16/0025/0020es
dc.relation.projectIDC-0032/17es
dc.relation.projectIDINT11/240es
dc.relation.projectIDINT12/282es
dc.relation.projectIDINT15/226es
dc.relation.projectIDPERIS SLT002/16/00101es
dc.relation.publisherversionhttps://doi.org/10.1016/j.ebiom.2019.03.004es
dc.identifier.doi10.1016/j.ebiom.2019.03.004es
idus.format.extent11 p.es
dc.journaltitleEBioMedicinees
dc.publication.volumen42es
dc.publication.initialPage86es
dc.publication.endPage96es

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