Literature DB >> 20842202

Genotypic determination of HIV tropism - clinical and methodological recommendations to guide the therapeutic use of CCR5 antagonists.

Eva Poveda1, José Alcamí, Roger Paredes, Juan Córdoba, Félix Gutiérrez, Josep María Llibre, Rafael Delgado, Federico Pulido, José Antonio Iribarren, Miguel García Deltoro, José Hernández Quero, Santiago Moreno, Federico García.   

Abstract

The approval of maraviroc (Selzentri®), the first CCR5 antagonist, with specific antiviral activity against CCR5 (R5)-tropic HIV variants, has promoted the determination of HIV coreceptor usage in the clinical setting. The phenotypic assay Trofile™, which is based on recombinant virus technology, has been the most widely used diagnostic test, given that it was the only assay which provided tropism information in the pivotal maraviroc clinical trials. However, this method displays logistical and technical limitations that make it far from convenient as a diagnostic test in clinical practice. Genotypic methods based on V3 genotyping represent a more feasible alternative and progressively are replacing phenotypic assays. Even though their sensitivity to detect X4-tropic variants is lower compared to Trofile™, recent studies have demonstrated that specific genotypic tools (geno2pheno and PSSM) are comparable to Trofile™ and ES-Trofile™ in predicting virologic response to maraviroc. This review summarizes clinical and methodological recommendations for the genotypic determination of HIV tropism to guide therapeutic decisions with CCR5 antagonists in HIV therapeutics.

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Year:  2010        PMID: 20842202

Source DB:  PubMed          Journal:  AIDS Rev        ISSN: 1139-6121            Impact factor:   2.500


  25 in total

1.  Correlation of the virological response to short-term maraviroc monotherapy with standard and deep-sequencing-based genotypic tropism prediction methods.

Authors:  A Gonzalez-Serna; R A McGovern; P R Harrigan; F Vidal; A F Y Poon; S Ferrando-Martinez; M A Abad; M Genebat; M Leal; E Ruiz-Mateos
Journal:  Antimicrob Agents Chemother       Date:  2011-12-05       Impact factor: 5.191

2.  Evolution of proviral DNA HIV-1 tropism under selective pressure of maraviroc-based therapy.

Authors:  Silvia Baroncelli; Clementina Maria Galluzzo; Liliana Elena Weimer; Maria Franca Pirillo; Anna Volpe; Alessandra Mercuri; Albertina Cavalli; Vincenzo Fragola; Laura Monno; Anna Degli Antoni; Nicoletta Ladisa; Daniela Francisci; Raffaella Bucciardini; Marco Floridia
Journal:  J Antimicrob Chemother       Date:  2012-02-23       Impact factor: 5.790

3.  High concordance between the position-specific scoring matrix and geno2pheno algorithms for genotypic interpretation of HIV-1 tropism: V3 length as the major cause of disagreement.

Authors:  Eduardo Seclén; Vicente Soriano; María M González; Sagrario Gómez; Alexander Thielen; Eva Poveda
Journal:  J Clin Microbiol       Date:  2011-07-06       Impact factor: 5.948

4.  HIV-1 resistance to maraviroc conferred by a CD4 binding site mutation in the envelope glycoprotein gp120.

Authors:  Annette N Ratcliff; Wuxian Shi; Eric J Arts
Journal:  J Virol       Date:  2012-11-07       Impact factor: 5.103

Review 5.  Bioinformatic analysis of HIV-1 entry and pathogenesis.

Authors:  Benjamas Aiamkitsumrit; Will Dampier; Gregory Antell; Nina Rivera; Julio Martin-Garcia; Vanessa Pirrone; Michael R Nonnemacher; Brian Wigdahl
Journal:  Curr HIV Res       Date:  2014       Impact factor: 1.581

6.  Validation of the HIV Tropism Test TROCAI Using the Virological Response to a Short-Term Maraviroc Monotherapy Exposure.

Authors:  A Gonzalez-Serna; M Genebat; M De Luna-Romero; L Tarancon-Diez; B Dominguez-Molina; Y M Pacheco; M A Muñoz-Fernández; M Leal; E Ruiz-Mateos
Journal:  Antimicrob Agents Chemother       Date:  2016-09-23       Impact factor: 5.191

7.  Impact of baseline HIV-1 tropism on viral response and CD4 cell count gains in HIV-infected patients receiving first-line antiretroviral therapy.

Authors:  Eduardo Seclén; Vicente Soriano; María M González; Luz Martín-Carbonero; Holger Gellermann; Manuel Distel; Werner Kadus; Eva Poveda
Journal:  J Infect Dis       Date:  2011-07-01       Impact factor: 5.226

8.  Next-Generation Sequencing to Help Monitor Patients Infected with HIV: Ready for Clinical Use?

Authors:  Richard M Gibson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Curr Infect Dis Rep       Date:  2014-04       Impact factor: 3.725

9.  Sensitive cell-based assay for determination of human immunodeficiency virus type 1 coreceptor tropism.

Authors:  Jan Weber; Ana C Vazquez; Dane Winner; Richard M Gibson; Ariel M Rhea; Justine D Rose; Doug Wylie; Kenneth Henry; Alison Wright; Kevin King; John Archer; Eva Poveda; Vicente Soriano; David L Robertson; Paul D Olivo; Eric J Arts; Miguel E Quiñones-Mateu
Journal:  J Clin Microbiol       Date:  2013-03-13       Impact factor: 5.948

Review 10.  Deep sequencing: becoming a critical tool in clinical virology.

Authors:  Miguel E Quiñones-Mateu; Santiago Avila; Gustavo Reyes-Teran; Miguel A Martinez
Journal:  J Clin Virol       Date:  2014-06-24       Impact factor: 3.168

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