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The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing

OBJECTIVE: The false-positive rate (FPR) is a percentage-score provided by Geno2Pheno-algorithm indicating the likelihood that a V3-sequence is falsely predicted as CXCR4-using. We evaluated the correlation between FPR obtained by V3 population-sequencing and the burden of CXCR4-using variants detec...

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Autores principales: Svicher, Valentina, Cento, Valeria, Rozera, Gabriella, Abbate, Isabella, Santoro, Maria Mercedes, Armenia, Daniele, Fabeni, Lavinia, Bruselles, Alessandro, Latini, Alessandra, Palamara, Guido, Micheli, Valeria, Rizzardini, Giuliano, Gori, Caterina, Forbici, Federica, Ippolito, Giuseppe, Andreoni, Massimo, Antinori, Andrea, Ceccherini-Silberstein, Francesca, Capobianchi, Maria Rosaria, Perno, Carlo Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3544916/
https://www.ncbi.nlm.nih.gov/pubmed/23341955
http://dx.doi.org/10.1371/journal.pone.0053603
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author Svicher, Valentina
Cento, Valeria
Rozera, Gabriella
Abbate, Isabella
Santoro, Maria Mercedes
Armenia, Daniele
Fabeni, Lavinia
Bruselles, Alessandro
Latini, Alessandra
Palamara, Guido
Micheli, Valeria
Rizzardini, Giuliano
Gori, Caterina
Forbici, Federica
Ippolito, Giuseppe
Andreoni, Massimo
Antinori, Andrea
Ceccherini-Silberstein, Francesca
Capobianchi, Maria Rosaria
Perno, Carlo Federico
author_facet Svicher, Valentina
Cento, Valeria
Rozera, Gabriella
Abbate, Isabella
Santoro, Maria Mercedes
Armenia, Daniele
Fabeni, Lavinia
Bruselles, Alessandro
Latini, Alessandra
Palamara, Guido
Micheli, Valeria
Rizzardini, Giuliano
Gori, Caterina
Forbici, Federica
Ippolito, Giuseppe
Andreoni, Massimo
Antinori, Andrea
Ceccherini-Silberstein, Francesca
Capobianchi, Maria Rosaria
Perno, Carlo Federico
author_sort Svicher, Valentina
collection PubMed
description OBJECTIVE: The false-positive rate (FPR) is a percentage-score provided by Geno2Pheno-algorithm indicating the likelihood that a V3-sequence is falsely predicted as CXCR4-using. We evaluated the correlation between FPR obtained by V3 population-sequencing and the burden of CXCR4-using variants detected by V3 ultra-deep sequencing (UDPS) and Enhanced-Sensitivity Trofile assay (ESTA). METHODS: 54 HIV-1 B-subtype infected-patients (all maraviroc-naïve), with viremia >10,000copies/ml, were analyzed. HIV-tropism was assessed by V3 population-sequencing, UDPS (considering variants with >0.5% prevalence), and ESTA. RESULTS: By UDPS, CCR5-using variants were detected in 53/54 patients, irrespective of FPR values, and their intra-patient prevalence progressively increased by increasing the FPR obtained by V3 population-sequencing (rho = 0.75, p = 5.0e-8). Conversely, the intra-patient prevalence of CXCR4-using variants in the 54 patients analyzed progressively decreased by increasing the FPR (rho = −0.61; p = 9.3e-6). Indeed, no CXCR4-using variants were detected in 13/13 patients with FPR>60. They were present in 7/18 (38.8%) patients with FPR 20–60 (intra-patient prevalence range: 2.1%–18.4%), in 5/7 (71.4%) with FPR 10–20, in 4/6 (66.7%) with FPR 5–10, and in 10/10(100%) with FPR<5 (intra-patient prevalence range: 12.1%–98.1%). CONCLUSIONS: FPR by V3 population-sequencing can predict the burden of CXCR4-using variants. This information can be used to optimize the management of tropism determination in clinical practice. Due to its low cost and short turnaround time, V3 population-sequencing may represent the most feasible test for HIV-1 tropism determination. More sensitive methodologies (as UDPS) might be useful when V3 population-sequencing provides a FPR >20 (particularly in the range 20–60), allowing a more careful identification of patients harboring CXCR4-using variants.
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spelling pubmed-35449162013-01-22 The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing Svicher, Valentina Cento, Valeria Rozera, Gabriella Abbate, Isabella Santoro, Maria Mercedes Armenia, Daniele Fabeni, Lavinia Bruselles, Alessandro Latini, Alessandra Palamara, Guido Micheli, Valeria Rizzardini, Giuliano Gori, Caterina Forbici, Federica Ippolito, Giuseppe Andreoni, Massimo Antinori, Andrea Ceccherini-Silberstein, Francesca Capobianchi, Maria Rosaria Perno, Carlo Federico PLoS One Research Article OBJECTIVE: The false-positive rate (FPR) is a percentage-score provided by Geno2Pheno-algorithm indicating the likelihood that a V3-sequence is falsely predicted as CXCR4-using. We evaluated the correlation between FPR obtained by V3 population-sequencing and the burden of CXCR4-using variants detected by V3 ultra-deep sequencing (UDPS) and Enhanced-Sensitivity Trofile assay (ESTA). METHODS: 54 HIV-1 B-subtype infected-patients (all maraviroc-naïve), with viremia >10,000copies/ml, were analyzed. HIV-tropism was assessed by V3 population-sequencing, UDPS (considering variants with >0.5% prevalence), and ESTA. RESULTS: By UDPS, CCR5-using variants were detected in 53/54 patients, irrespective of FPR values, and their intra-patient prevalence progressively increased by increasing the FPR obtained by V3 population-sequencing (rho = 0.75, p = 5.0e-8). Conversely, the intra-patient prevalence of CXCR4-using variants in the 54 patients analyzed progressively decreased by increasing the FPR (rho = −0.61; p = 9.3e-6). Indeed, no CXCR4-using variants were detected in 13/13 patients with FPR>60. They were present in 7/18 (38.8%) patients with FPR 20–60 (intra-patient prevalence range: 2.1%–18.4%), in 5/7 (71.4%) with FPR 10–20, in 4/6 (66.7%) with FPR 5–10, and in 10/10(100%) with FPR<5 (intra-patient prevalence range: 12.1%–98.1%). CONCLUSIONS: FPR by V3 population-sequencing can predict the burden of CXCR4-using variants. This information can be used to optimize the management of tropism determination in clinical practice. Due to its low cost and short turnaround time, V3 population-sequencing may represent the most feasible test for HIV-1 tropism determination. More sensitive methodologies (as UDPS) might be useful when V3 population-sequencing provides a FPR >20 (particularly in the range 20–60), allowing a more careful identification of patients harboring CXCR4-using variants. Public Library of Science 2013-01-14 /pmc/articles/PMC3544916/ /pubmed/23341955 http://dx.doi.org/10.1371/journal.pone.0053603 Text en © 2013 Svicher 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
Svicher, Valentina
Cento, Valeria
Rozera, Gabriella
Abbate, Isabella
Santoro, Maria Mercedes
Armenia, Daniele
Fabeni, Lavinia
Bruselles, Alessandro
Latini, Alessandra
Palamara, Guido
Micheli, Valeria
Rizzardini, Giuliano
Gori, Caterina
Forbici, Federica
Ippolito, Giuseppe
Andreoni, Massimo
Antinori, Andrea
Ceccherini-Silberstein, Francesca
Capobianchi, Maria Rosaria
Perno, Carlo Federico
The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title_full The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title_fullStr The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title_full_unstemmed The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title_short The Genotypic False Positive Rate Determined by V3 Population Sequencing Can Predict the Burden of HIV-1 CXCR4-using Species Detected by Pyrosequencing
title_sort genotypic false positive rate determined by v3 population sequencing can predict the burden of hiv-1 cxcr4-using species detected by pyrosequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3544916/
https://www.ncbi.nlm.nih.gov/pubmed/23341955
http://dx.doi.org/10.1371/journal.pone.0053603
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