HIV-1 Tropism Determination Using a Phenotypic Env Recombinant Viral Assay Highlights Overestimation of CXCR4-Usage by Genotypic Prediction Algorithms for CRRF01_AE and CRF02_AG

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dc.contributor.author Mulinge, Martin M.
dc.contributor.author Lemaire, Morgane
dc.contributor.author Servais, Jean-Yves
dc.contributor.author Rybicki, Arkadiusz
dc.contributor.author Struck, Daniel
dc.contributor.author Santos da Silva, Eveline
dc.contributor.author Verhofstede, Chris
dc.contributor.author Lie, Yolanda
dc.contributor.author Seguin-Devaux, Carole
dc.contributor.author Schmit, Jean-Claude
dc.contributor.author Bercoff, Danielle P.
dc.date.accessioned 2014-12-11T11:43:52Z
dc.date.available 2014-12-11T11:43:52Z
dc.date.issued 2013-05-08
dc.identifier.citation May 2013PLoS ONE | V13 | Volume 8 | Issue 5 | e60566 en_US
dc.identifier.issn 1932-6203
dc.identifier.uri https://biblio.ugent.be/input/download?func=downloadFile&recordOId=4270741&fileOId=4270828
dc.identifier.uri http://hdl.handle.net/123456789/428
dc.description.abstract Background: Human Immunodeficiency virus type-1 (HIV) entry into target cells involves binding of the viral envelope (Env) to CD4 and a coreceptor, mainly CCR5 or CXCR4. The only currently licensed HIV entry inhibitor, maraviroc, targets CCR5, and the presence of CXCX4-using strains must be excluded prior to treatment. Co-receptor usage can be assessed by phenotypic assays or through genotypic prediction. Here we compared the performance of a phenotypic Env-Recombinant Viral Assay (RVA) to the two most widely used genotypic prediction algorithms, Geno2Pheno([coreceptor]) and webPSSM.Methods: Co-receptor tropism of samples from 73 subtype B and 219 non-B infections was measured phenotypically using a luciferase-tagged, NL4-3-based, RVA targeting Env. In parallel, tropism was inferred genotypically from the corresponding V3-loop sequences using Geno2Pheno([coreceptor]) (5-20% FPR) and webPSSM-R5X4. For discordant samples, phenotypic outcome was retested using co-receptor antagonists or the validated Trofile (R) Enhanced-Sensitivity-Tropism-Assay.Results: The lower detection limit of the RVA was 2.5% and 5% for X4 and R5 minority variants respectively. A phenotype/genotype result was obtained for 210 samples. Overall, concordance of phenotypic results with Geno2Pheno([coreceptor]) was 85.2% and concordance with webPSSM was 79.5%. For subtype B, concordance with Geno2pheno([coreceptor]) was 94.4% and concordance with webPSSM was 79.6%. High concordance of genotypic tools with phenotypic outcome was seen for subtype C (90% for both tools). Main discordances involved CRF01_AE and CRF02_AG for both algorithms (CRF01_AE: 35.9% discordances with Geno2Pheno([coreceptor]) and 28.2% with webPSSM; CRF02_AG: 20.7% for both algorithms). Genotypic prediction overestimated CXCR4-usage for both CRFs. For webPSSM, 40% discordance was observed for subtype A.Conclusions: Phenotypic assays remain the most accurate for most non-B subtypes and new subtype-specific rules should be developed for non-B subtypes, as research studies more and more draw conclusions from genotypically-inferred tropism, and to avoid unnecessarily precluding patients with limited treatment options from receiving maraviroc or other entry inhibitors. en_US
dc.language.iso en en_US
dc.publisher Public Library of Science en_US
dc.subject Biology and Life Sciences en_US
dc.subject CHEMOKINE RECEPTORS en_US
dc.subject CCR5 ANTAGONISTS en_US
dc.subject BIOINFORMATIC TOOLS en_US
dc.subject V3 LOOP en_US
dc.subject CORECEPTOR USAGE en_US
dc.subject T-CELL-LINE en_US
dc.subject IMMUNODEFICIENCY-VIRUS TYPE-1 en_US
dc.subject N-LINKED GLYCOSYLATION en_US
dc.subject DRUG-RESISTANCE en_US
dc.subject INFECTION en_US
dc.title HIV-1 Tropism Determination Using a Phenotypic Env Recombinant Viral Assay Highlights Overestimation of CXCR4-Usage by Genotypic Prediction Algorithms for CRRF01_AE and CRF02_AG en_US
dc.type Article en_US


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