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dc.contributor.authorRODRIGUEZ, Christophe
dc.contributor.authorSOULIÉ, Cathia
dc.contributor.authorMARCELIN, Anne-Geneviève
dc.contributor.authorCALVEZ, Vincent
dc.contributor.authorDESCAMPS, Diane
dc.contributor.authorCHARPENTIER, Charlotte
dc.contributor.authorFLANDRE, Philippe
hal.structure.identifierMicrobiologie Fondamentale et Pathogénicité [MFP]
dc.contributor.authorRECORDON-PINSON, Patricia
hal.structure.identifierMicrobiologie Fondamentale et Pathogénicité [MFP]
dc.contributor.authorBELLECAVE, Pantxika
dc.contributor.authorPAWLOTSKY, Jean-Michel
hal.structure.identifierMicrobiologie Fondamentale et Pathogénicité [MFP]
dc.contributor.authorMASQUELIER, Bernard
dc.date.accessioned2023-07-18T07:50:05Z
dc.date.available2023-07-18T07:50:05Z
dc.date.issued2015
dc.identifier.issn1932-6203
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/183414
dc.description.abstractEnBackground: Maraviroc is an HIV entry inhibitor that alters the conformation of CCR5 and is poorly efficient in patients infected by viruses that use CXCR4 as an entry coreceptor. The goal of this study was to assess the capacity of ultra-deep pyrosequencing (UDPS) and different data analysis approaches to characterize HIV tropism at baseline and predict the therapeutic outcome on maraviroc treatment.Methods: 113 patients with detectable HIV-1 RNA on HAART were treated with maraviroc. The virological response was assessed at months 1, 3 and 6. The sequence of the HIV V3 loop was determined at baseline and prediction of maraviroc response by different software and interpretation algorithms was analyzed.Results: UDPS followed by analysis with the Pyrotrop software or geno2pheno algorithm provided better prediction of the response to maraviroc than Sanger sequencing. We also found that the H34Y/S substitution in the V3 loop was the strongest individual predictor of maraviroc response, stronger than substitutions at positions 11 or 25 classically used in interpretation algorithms.Conclusions: UDPS is a powerful tool that can be used with confidence to predict maraviroc response in HIV-1-infected patients. Improvement of the predictive value of interpretation algorithms is possible and our results suggest that adding the H34S/Y substitution would substantially improve the performance of the 11/25/charge rule.
dc.language.isoen
dc.publisherPublic Library of Science
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enRoc curves
dc.subject.enTropism
dc.subject.enAssay
dc.subject.enCCR5
dc.subject.enPrediction
dc.title.enHIV-1 Coreceptor Usage Assessment by Ultra-Deep Pyrosequencing and Response to Maraviroc
dc.typeArticle de revueen_US
dc.identifier.doi10.1371/journal.pone.0127816
dc.subject.halSciences du Vivant [q-bio]/Sciences pharmaceutiques/Pharmacologie
dc.subject.halSciences du Vivant [q-bio]/Microbiologie et Parasitologie/Virologie
bordeaux.pagee0127816
bordeaux.volume10
bordeaux.hal.laboratoriesMFP (Laboratoire Microbiologie Fondamentale et Pathogénicité) - UMR 5234en_US
bordeaux.issue6
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
bordeaux.import.sourcehal
hal.identifierhal-01486790
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2015&rft.volume=10&rft.issue=6&rft.spage=e0127816&rft.epage=e0127816&rft.eissn=1932-6203&rft.issn=1932-6203&rft.au=RODRIGUEZ,%20Christophe&SOULI%C3%89,%20Cathia&MARCELIN,%20Anne-Genevi%C3%A8ve&CALVEZ,%20Vincent&DESCAMPS,%20Diane&rft.genre=article


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