Literature DB >> 22832711

HIV population genotypic tropism testing and its clinical significance.

Martin Obermeier1, Jori Symons, Annemarie M J Wensing.   

Abstract

PURPOSE OF REVIEW: HIV co-receptor tropism testing is recommended before therapy when the C-C chemokine receptor type 5 antagonist maraviroc is initiated. This review addresses the use of population genotypic tropism testing in relation to clinical practice. RECENT
FINDINGS: Genotypic tropism tests predict viral co-receptor tropism based on the sequence of the V3 loop of the viral envelope. HIV occurs in a swarm of variants in the patient's body, called quasispecies. As next-generation sequencing techniques are not generally accessible to date, triplicate testing is often performed to improve sensitivity of population-based approaches, but no prospective studies assessing the performance of single and triplicate procedures related to clinical outcome have been performed yet. For interpretation of the genotype several web-based algorithms have been developed. Varying the cut-off of the commonly used geno2pheno[co-receptor] algorithm changes the sensitivity and specificity of the tropism prediction. In retrospective analyses of clinical studies and cohorts genotypic population tropism testing demonstrated equal correlation with clinical outcome on maraviroc compared with phenotypic assays.In patients with suppressed viraemia, proviral DNA testing is a well tolerated alternative to HIV-RNA testing.
SUMMARY: Population genotypic methods have greater accessibility, lower cost, and faster turnaround time than other methods. Despite limited sensitivity for minority variants HIV genotypic population tropism testing showed good correlation with clinical outcome.

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Year:  2012        PMID: 22832711     DOI: 10.1097/COH.0b013e328356eaa7

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  13 in total

1.  Algorithm-based prediction of HIV-1 subtype D coreceptor use.

Authors:  Julia Dina; Stephanie Raymond; Anne Maillard; Helene Le Guillou-Guillemette; Audrey Rodalec; Agnes Beby-Defaux; Genevieve Giraudeau; Sophie Vallet; Thomas Mourez; Christopher Payan; Astrid Vabret; Annick Ruffault; Virginie Ferre; Jacques Izopet; Jean-Christophe Plantier
Journal:  J Clin Microbiol       Date:  2013-06-26       Impact factor: 5.948

2.  CXCR4-using HIV variants in a cohort of Black men who have sex with men: HIV Prevention Trials Network 061.

Authors:  Iris Chen; Wei Huang; Matthew B Connor; Arne Frantzell; Vanessa Cummings; Geetha G Beauchamp; Sam Griffith; Sheldon D Fields; Hyman M Scott; Steven Shoptaw; Carlos Del Rio; Manya Magnus; Sharon Mannheimer; Hong-Van Tieu; Darrell P Wheeler; Kenneth H Mayer; Beryl A Koblin; Susan H Eshleman
Journal:  HIV Clin Trials       Date:  2016-06-14

3.  Genotypic Tropism Testing in HIV-1 Proviral DNA Can Provide Useful Information at Low-Level Viremia.

Authors:  Lavinia Fabeni; Giulia Berno; Valentina Svicher; Francesca Ceccherini-Silberstein; Caterina Gori; Ada Bertoli; Cristina Mussini; Miriam Lichtner; Mauro Zaccarelli; Adriana Ammassari; Carmela Pinnetti; Stefania Cicalini; Claudio Maria Mastroianni; Massimo Andreoni; Andrea Antinori; Carlo Federico Perno; Maria Mercedes Santoro
Journal:  J Clin Microbiol       Date:  2015-07-01       Impact factor: 5.948

4.  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

5.  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 6.  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

7.  Genotypic analysis of the V3 region of HIV from virologic nonresponders to maraviroc-containing regimens reveals distinct patterns of failure.

Authors:  Luke C Swenson; Celia K S Chui; Chanson J Brumme; Dennison Chan; Conan K Woods; Theresa Mo; Winnie Dong; Doug Chapman; Marilyn Lewis; James F Demarest; Ian James; Simon Portsmouth; James Goodrich; Jayvant Heera; Hernan Valdez; P Richard Harrigan
Journal:  Antimicrob Agents Chemother       Date:  2013-09-30       Impact factor: 5.191

8.  Maraviroc, as a Switch Option, in HIV-1-infected Individuals With Stable, Well-controlled HIV Replication and R5-tropic Virus on Their First Nucleoside/Nucleotide Reverse Transcriptase Inhibitor Plus Ritonavir-boosted Protease Inhibitor Regimen: Week 48 Results of the Randomized, Multicenter MARCH Study.

Authors:  Sarah Lilian Pett; Janaki Amin; Andrejz Horban; Jaime Andrade-Villanueva; Marcelo Losso; Norma Porteiro; Juan Sierra Madero; Waldo Belloso; Elise Tu; David Silk; Anthony Kelleher; Richard Harrigan; Andrew Clark; Wataru Sugiura; Marcelo Wolff; John Gill; Jose Gatell; Martin Fisher; Amanda Clarke; Kiat Ruxrungtham; Thierry Prazuck; Rolf Kaiser; Ian Woolley; Juan Alberto Arnaiz; David Cooper; Jürgen K Rockstroh; Patrick Mallon; Sean Emery
Journal:  Clin Infect Dis       Date:  2016-04-05       Impact factor: 9.079

9.  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

10.  Sensitive deep-sequencing-based HIV-1 genotyping assay to simultaneously determine susceptibility to protease, reverse transcriptase, integrase, and maturation inhibitors, as well as HIV-1 coreceptor tropism.

Authors:  Richard M Gibson; Ashley M Meyer; Dane Winner; John Archer; Felix Feyertag; Ezequiel Ruiz-Mateos; Manuel Leal; David L Robertson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Antimicrob Agents Chemother       Date:  2014-01-27       Impact factor: 5.191

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