Literature DB >> 20466851

Low-frequency HIV-1 drug resistance mutations can be clinically significant but must be interpreted with caution.

Jeffrey A Johnson1, Anna Maria Geretti.   

Abstract

With drug-resistant HIV-1 present in at least 10%-20% of new infections in Western countries and in >60% of patients failing antiretroviral therapy (ART), monitoring HIV-1 drug resistance is becoming increasingly important for assessing its impact on therapeutic measures of virus control and for guiding treatment. The sensitivity limitations of conventional bulk genotyping often lead to an underestimation of the total burden of drug resistance in a patient, as resistant variants escape detection when present at low frequency within the viral quasispecies. Using sensitive resistance testing methods, a few investigators have linked low-frequency mutations to poor treatment outcomes, while other studies have shown no correlation. Understanding the technical limitations of sensitive testing methods and the relevance of the amount of a particular resistance mutation in the context of different ART regimens will help to define the clinical benefit of low-frequency resistance testing. Paramount to interpreting the clinical utility of sensitive testing is evaluating resistance mutations selectively, at biologically significant frequencies, and using methods that have been broadly validated on clinical specimens.

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Year:  2010        PMID: 20466851     DOI: 10.1093/jac/dkq139

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  14 in total

1.  Study of genotypic and phenotypic HIV-1 dynamics of integrase mutations during raltegravir treatment: a refined analysis by ultra-deep 454 pyrosequencing.

Authors:  Daniele Armenia; Ina Vandenbroucke; Lavinia Fabeni; Herwig Van Marck; Valeria Cento; Roberta D'Arrigo; Liesbeth Van Wesenbeeck; Fernanda Scopelliti; Valeria Micheli; Bianca Bruzzone; Sergio Lo Caputo; Jeroen Aerssens; Giuliano Rizzardini; Valerio Tozzi; Pasquale Narciso; Andrea Antinori; Lieven Stuyver; Carlo Federico Perno; Francesca Ceccherini-Silberstein
Journal:  J Infect Dis       Date:  2012-01-11       Impact factor: 5.226

2.  Transmitted HIV resistance to first-line antiretroviral therapy in Lima, Peru.

Authors:  Jaime Soria; Marta Bull; Caroline Mitchell; Alberto La Rosa; Sandra Dross; Kelli Kraft; Robert Coombs; Eduardo Ticona; Lisa Frenkel
Journal:  AIDS Res Hum Retroviruses       Date:  2011-08-05       Impact factor: 2.205

3.  HIV drug resistance testing by high-multiplex "wide" sequencing on the MiSeq instrument.

Authors:  H R Lapointe; W Dong; G Q Lee; D R Bangsberg; J N Martin; A R Mocello; Y Boum; A Karakas; D Kirkby; A F Y Poon; P R Harrigan; C J Brumme
Journal:  Antimicrob Agents Chemother       Date:  2015-08-17       Impact factor: 5.191

4.  Prevalence and virologic consequences of transmitted HIV-1 drug resistance in Uganda.

Authors:  Guinevere Q Lee; David R Bangsberg; Conrad Muzoora; Yap Boum; Jessica H Oyugi; Nneka Emenyonu; John Bennett; Peter W Hunt; David Knapp; Chanson J Brumme; P Richard Harrigan; Jeffrey N Martin
Journal:  AIDS Res Hum Retroviruses       Date:  2014-07-29       Impact factor: 2.205

Review 5.  Advances in Long-Acting Agents for the Treatment of HIV Infection.

Authors:  Aadia I Rana; Jose R Castillo-Mancilla; Karen T Tashima; Raphael L Landovitz
Journal:  Drugs       Date:  2020-04       Impact factor: 9.546

6.  geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data.

Authors:  Matthias Döring; Joachim Büch; Georg Friedrich; Alejandro Pironti; Prabhav Kalaghatgi; Elena Knops; Eva Heger; Martin Obermeier; Martin Däumer; Alexander Thielen; Rolf Kaiser; Thomas Lengauer; Nico Pfeifer
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

Review 7.  Clinical management of HIV drug resistance.

Authors:  Karoll J Cortez; Frank Maldarelli
Journal:  Viruses       Date:  2011-04-14       Impact factor: 5.048

8.  Standing genetic variation and the evolution of drug resistance in HIV.

Authors:  Pleuni Simone Pennings
Journal:  PLoS Comput Biol       Date:  2012-06-07       Impact factor: 4.475

9.  Quantifying Next Generation Sequencing Sample Pre-Processing Bias in HIV-1 Complete Genome Sequencing.

Authors:  Bram Vrancken; Nídia Sequeira Trovão; Guy Baele; Eric van Wijngaerden; Anne-Mieke Vandamme; Kristel van Laethem; Philippe Lemey
Journal:  Viruses       Date:  2016-01-07       Impact factor: 5.048

10.  Sensitive assessment of the virologic outcomes of stopping and restarting non-nucleoside reverse transcriptase inhibitor-based antiretroviral therapy.

Authors:  Anna Maria Geretti; Zoe Fox; Jeffrey A Johnson; Clare Booth; Jonathan Lipscomb; Lieven J Stuyver; Gilda Tachedjian; John Baxter; Giota Touloumi; Clara Lehmann; Andrew Owen; Andrew Phillips
Journal:  PLoS One       Date:  2013-07-18       Impact factor: 3.240

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