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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

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...

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Autores principales: Mulinge, Martin, Lemaire, Morgane, Servais, Jean-Yves, Rybicki, Arkadiusz, Struck, Daniel, da Silva, Eveline Santos, Verhofstede, Chris, Lie, Yolanda, Seguin-Devaux, Carole, Schmit, Jean-Claude, Bercoff, Danielle Perez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648519/
https://www.ncbi.nlm.nih.gov/pubmed/23667426
http://dx.doi.org/10.1371/journal.pone.0060566
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author Mulinge, Martin
Lemaire, Morgane
Servais, Jean-Yves
Rybicki, Arkadiusz
Struck, Daniel
da Silva, Eveline Santos
Verhofstede, Chris
Lie, Yolanda
Seguin-Devaux, Carole
Schmit, Jean-Claude
Bercoff, Danielle Perez
author_facet Mulinge, Martin
Lemaire, Morgane
Servais, Jean-Yves
Rybicki, Arkadiusz
Struck, Daniel
da Silva, Eveline Santos
Verhofstede, Chris
Lie, Yolanda
Seguin-Devaux, Carole
Schmit, Jean-Claude
Bercoff, Danielle Perez
author_sort Mulinge, Martin
collection PubMed
description 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® 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.
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spelling pubmed-36485192013-05-10 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 Mulinge, Martin Lemaire, Morgane Servais, Jean-Yves Rybicki, Arkadiusz Struck, Daniel da Silva, Eveline Santos Verhofstede, Chris Lie, Yolanda Seguin-Devaux, Carole Schmit, Jean-Claude Bercoff, Danielle Perez PLoS One Research Article 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® 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. Public Library of Science 2013-05-08 /pmc/articles/PMC3648519/ /pubmed/23667426 http://dx.doi.org/10.1371/journal.pone.0060566 Text en © 2013 Mulinge et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mulinge, Martin
Lemaire, Morgane
Servais, Jean-Yves
Rybicki, Arkadiusz
Struck, Daniel
da Silva, Eveline Santos
Verhofstede, Chris
Lie, Yolanda
Seguin-Devaux, Carole
Schmit, Jean-Claude
Bercoff, Danielle Perez
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648519/
https://www.ncbi.nlm.nih.gov/pubmed/23667426
http://dx.doi.org/10.1371/journal.pone.0060566
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