Literature DB >> 23165088

Correlation between genotypic (V3 population sequencing) and phenotypic (Trofile ES) methods of characterizing co-receptor usage of HIV-1 from 200 treatment-naïve HIV patients screened for Study A4001078.

Simon Portsmouth1, Srinivas Rao Valluri, Martin Däumer, Bernhard Thiele, Hernan Valdez, Marilyn Lewis, Charles Craig, Alexander Thielen, Ian James, James Demarest, Jayvant Heera.   

Abstract

Assessment of HIV-1 co-receptor usage is essential to identify patients who are likely to respond to maraviroc (MVC)-containing regimens. Co-receptor usage of plasma virus from all treatment-naïve patients screened for a MVC clinical trial was assessed using phenotypic and genotypic methodologies to evaluate concordance between testing methods and to assess the quantity of CXCR4-using (non-R5) virus in samples giving discordant results. Co-receptor usage was prospectively measured using the enhanced sensitivity Trofile assay (Trofile ES) to screen patients for enrollment in Study A4001078. Population and deep sequencing methodologies were utilized retrospectively to analyze all screening samples, with co-receptor usage determined using the geno2pheno algorithm. Concordance between methods was explored using descriptive statistics. The quantity of non-R5 virus in all samples was measured using deep sequencing. Trofile ES and matched genotype results were obtained for 199screening samples. Concordance of Trofile ES with population genotyping (5.75% false-positive rate [FPR]) and deep sequencing (3.5% FPR; 2% non-R5 threshold) was 91.7% and 89.6%, respectively. Population genotype data were available for all samples with non-reportable Trofile ES results; the distribution of co-receptor usage in this set was consistent with that in the overall population: 75% (12/16) R5 and 25% (4/16) non-R5. The majority of samples contained non-R5 plasma HIV-1 RNA estimated at either <1 log(10) (62.0%) or ⩾4 log(10) (30.5%) copies/mL; the absolute amount of detectable non-R5 virus remained stable between screening and baseline visits. Samples originally classified as non-R5 by Trofile ES but R5 by population sequencing had a relatively low absolute amount of non-R5 virus (mean 2.1%, median 0.1%). The determination of co-receptor usage using either Trofile ES or genotyping methodologies showed similar frequencies of R5 and non-R5 virus in this treatment-naïve study population. For both concordant and discordant samples, population sequencing appropriately identified R5 samples with low levels of non-R5-using virus.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23165088     DOI: 10.1016/j.antiviral.2012.11.002

Source DB:  PubMed          Journal:  Antiviral Res        ISSN: 0166-3542            Impact factor:   5.970


  6 in total

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Authors:  Cécile Tremblay; Isabelle Hardy; Richard Lalonde; Benoit Trottier; Irina Tsarevsky; Louis-Philippe Vézina; Michel Roger; Mark Wainberg; Jean-Guy Baril
Journal:  Can J Infect Dis Med Microbiol       Date:  2013       Impact factor: 2.471

2.  Comparison of genotypic and phenotypic HIV type 1 tropism assay: results from the screening samples of Cenicriviroc Study 202, a randomized phase II trial in treatment-naive subjects.

Authors:  Ron M Kagan; Erik P Johnson; Martin F Siaw; Ben Van Baelen; Richard Ogden; Jamie L Platt; Rick L Pesano; Eric Lefebvre
Journal:  AIDS Res Hum Retroviruses       Date:  2013-08-14       Impact factor: 2.205

3.  Parameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc.

Authors:  Saleta Sierra; J Nikolai Dybowski; Alejandro Pironti; Dominik Heider; Lisa Güney; Alex Thielen; Stefan Reuter; Stefan Esser; Gerd Fätkenheuer; Thomas Lengauer; Daniel Hoffmann; Herbert Pfister; Björn Jensen; Rolf Kaiser
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

4.  IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platform.

Authors:  N Lance Hepler; Konrad Scheffler; Steven Weaver; Ben Murrell; Douglas D Richman; Dennis R Burton; Pascal Poignard; Davey M Smith; Sergei L Kosakovsky Pond
Journal:  PLoS Comput Biol       Date:  2014-09-25       Impact factor: 4.475

5.  Transmission patterns of HIV-1 non-R5 strains in Poland.

Authors:  Joanna Smoleń-Dzirba; Magdalena Rosińska; Piotr Kruszyński; Janusz Janiec; Mariusz Cycoń; Jolanta Bratosiewicz-Wąsik; Marek Beniowski; Monika Bociąga-Jasik; Elżbieta Jabłonowska; Bartosz Szetela; Tomasz J Wąsik
Journal:  Sci Rep       Date:  2019-03-21       Impact factor: 4.379

6.  Clonal analysis of HIV-1 genotype and function associated with virologic failure in treatment-experienced persons receiving maraviroc: Results from the MOTIVATE phase 3 randomized, placebo-controlled trials.

Authors:  Marilyn Lewis; Julie Mori; Jonathan Toma; Mike Mosley; Wei Huang; Paul Simpson; Roy Mansfield; Charles Craig; Elna van der Ryst; David L Robertson; Jeannette M Whitcomb; Mike Westby
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

  6 in total

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