Literature DB >> 22457522

Deep sequencing reveals minor protease resistance mutations in patients failing a protease inhibitor regimen.

Randall Fisher1, Gert U van Zyl, Simon A A Travers, Sergei L Kosakovsky Pond, Susan Engelbrech, Ben Murrell, Konrad Scheffler, Davey Smith.   

Abstract

Standard genotypic antiretroviral resistance testing, performed by bulk sequencing, does not readily detect variants that comprise <20% of the circulating HIV-1 RNA population. Nevertheless, it is valuable in selecting an antiretroviral regimen after antiretroviral failure. In patients with poor adherence, resistant variants may not reach this threshold. Therefore, deep sequencing would be potentially valuable for detecting minority resistant variants. We compared bulk sequencing and deep sequencing to detect HIV-1 drug resistance at the time of a second-line protease inhibitor (PI)-based antiretroviral regimen failure. Eligibility criteria were virologic failure (HIV-1 RNA load of >500 copies/ml) of a first-line nonnucleoside reverse transcriptase inhibitor-based regimen, with at least the M184V mutation (lamivudine resistance), and second-line failure of a lopinavir/ritonavir (LPV/r)-based regimen. An amplicon-sequencing approach on the Roche 454 system was used. Six patients with viral loads of >90,000 copies/ml and one patient with a viral load of 520 copies/ml were included. Mutations not detectable by bulk sequencing during first- and second-line failure were detected by deep sequencing during second-line failure. Low-frequency variants (>0.5% of the sequence population) harboring major protease inhibitor resistance mutations were found in 5 of 7 patients despite poor adherence to the LPV/r-based regimen. In patients with intermittent adherence to a boosted PI regimen, deep sequencing may detect minority PI-resistant variants, which likely represent early events in resistance selection. In patients with poor or intermittent adherence, there may be low evolutionary impetus for such variants to reach fixation, explaining the low prevalence of PI resistance.

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Year:  2012        PMID: 22457522      PMCID: PMC3372173          DOI: 10.1128/JVI.06541-11

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  26 in total

1.  Detection of minority resistance during early HIV-1 infection: natural variation and spurious detection rather than transmission and evolution of multiple viral variants.

Authors:  Sara Gianella; Wayne Delport; Mary E Pacold; Jason A Young; Jun Yong Choi; Susan J Little; Douglas D Richman; Sergei L Kosakovsky Pond; Davey M Smith
Journal:  J Virol       Date:  2011-06-01       Impact factor: 5.103

2.  Datamonkey: rapid detection of selective pressure on individual sites of codon alignments.

Authors:  Sergei L Kosakovsky Pond; Simon D W Frost
Journal:  Bioinformatics       Date:  2005-02-15       Impact factor: 6.937

Review 3.  Adherence-resistance relationships to combination HIV antiretroviral therapy.

Authors:  David R Bangsberg; Deanna L Kroetz; Steven G Deeks
Journal:  Curr HIV/AIDS Rep       Date:  2007-05       Impact factor: 5.071

Review 4.  Lopinavir/ritonavir: a review of its use in the management of HIV infection.

Authors:  Vicki Oldfield; Greg L Plosker
Journal:  Drugs       Date:  2006       Impact factor: 9.546

Review 5.  Antiretroviral resistance testing for clinical management.

Authors:  Bryan E Youree; Richard T D'Aquila
Journal:  AIDS Rev       Date:  2002 Jan-Mar       Impact factor: 2.500

Review 6.  Antiretroviral drug resistance testing.

Authors:  Sourav Sen; S P Tripathy; R S Paranjape
Journal:  J Postgrad Med       Date:  2006 Jul-Sep       Impact factor: 1.476

7.  Multiple, linked human immunodeficiency virus type 1 drug resistance mutations in treatment-experienced patients are missed by standard genotype analysis.

Authors:  Sarah Palmer; Mary Kearney; Frank Maldarelli; Elias K Halvas; Christian J Bixby; Holly Bazmi; Diane Rock; Judith Falloon; Richard T Davey; Robin L Dewar; Julia A Metcalf; Scott Hammer; John W Mellors; John M Coffin
Journal:  J Clin Microbiol       Date:  2005-01       Impact factor: 5.948

Review 8.  Rationale for maintenance of the M184v resistance mutation in human immunodeficiency virus type 1 reverse transcriptase in treatment experienced patients.

Authors:  D Turner; B G Brenner; J P Routy; M Petrella; M A Wainberg
Journal:  New Microbiol       Date:  2004-04       Impact factor: 2.479

9.  Adherence-resistance relationships for protease and non-nucleoside reverse transcriptase inhibitors explained by virological fitness.

Authors:  David R Bangsberg; Edward P Acosta; Reena Gupta; David Guzman; Elise D Riley; P Richard Harrigan; Neil Parkin; Steven G Deeks
Journal:  AIDS       Date:  2006-01-09       Impact factor: 4.177

10.  Selection of mutations in the connection and RNase H domains of human immunodeficiency virus type 1 reverse transcriptase that increase resistance to 3'-azido-3'-dideoxythymidine.

Authors:  Jessica H Brehm; Dianna Koontz; Jeffrey D Meteer; Vinay Pathak; Nicolas Sluis-Cremer; John W Mellors
Journal:  J Virol       Date:  2007-05-16       Impact factor: 5.103

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  35 in total

1.  Detection of cytomegalovirus drug resistance mutations by next-generation sequencing.

Authors:  Malaya K Sahoo; Martina I Lefterova; Fumiko Yamamoto; Jesse J Waggoner; Sunwen Chou; Susan P Holmes; Matthew W Anderson; Benjamin A Pinsky
Journal:  J Clin Microbiol       Date:  2013-08-28       Impact factor: 5.948

2.  HIV-1 drug-resistant minority variants: sweating the small stuff.

Authors:  Jonathan Z Li
Journal:  J Infect Dis       Date:  2013-11-23       Impact factor: 5.226

3.  Different Variants in Reverse Transcriptase Domain Determined by Ultra-deep Sequencing in Treatment-naïve and Treated Indonesian Patients Infected with Hepatitis B Virus.

Authors:  Widya Wasityastuti; Yoshihiko Yano; Dewiyani Indah Widasari; Laura Navika Yamani; Neneng Ratnasari; Didik Setyo Heriyanto; Rina Okada; Toshihito Tanahashi; Yoshiki Murakami; Takeshi Azuma; Yoshitake Hayashi
Journal:  Kobe J Med Sci       Date:  2016-06-16

4.  HIV-1 second-line failure and drug resistance at high-level and low-level viremia in Western Kenya.

Authors:  Rami Kantor; Allison DeLong; Leeann Schreier; Marissa Reitsma; Emanuel Kemboi; Millicent Orido; Salome Obonge; Robert Boinett; Mary Rono; Wilfred Emonyi; Katie Brooks; Mia Coetzer; Nathan Buziba; Joseph Hogan; Lameck Diero
Journal:  AIDS       Date:  2018-11-13       Impact factor: 4.177

5.  The HIV-1 late domain-2 S40A polymorphism in antiretroviral (or ART)-exposed individuals influences protease inhibitor susceptibility.

Authors:  Susan M Watanabe; Viviana Simon; Natasha D Durham; Brittney R Kemp; Satoshi Machihara; Kimdar Sherefa Kemal; Binshan Shi; Brian Foley; Hongru Li; Benjamin K Chen; Barbara Weiser; Harold Burger; Kathryn Anastos; Chaoping Chen; Carol A Carter
Journal:  Retrovirology       Date:  2016-09-06       Impact factor: 4.602

6.  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

7.  Dengue Virus Evolution under a Host-Targeted Antiviral.

Authors:  Emily Plummer; Michael D Buck; Marisa Sanchez; Jason A Greenbaum; Julia Turner; Rajvir Grewal; Brennan Klose; Aruna Sampath; Kelly L Warfield; Bjoern Peters; Urban Ramstedt; Sujan Shresta
Journal:  J Virol       Date:  2015-03-11       Impact factor: 5.103

8.  Clinical implications of HIV-1 minority variants.

Authors:  Jonathan Z Li; Daniel R Kuritzkes
Journal:  Clin Infect Dis       Date:  2013-02-27       Impact factor: 9.079

Review 9.  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

10.  Evaluation of a benchtop HIV ultradeep pyrosequencing drug resistance assay in the clinical laboratory.

Authors:  Boaz Avidor; Shirley Girshengorn; Natalia Matus; Hadass Talio; Svetlana Achsanov; Irene Zeldis; Ilana S Fratty; Eugene Katchman; Tal Brosh-Nissimov; David Hassin; Danny Alon; Zvi Bentwich; Israel Yust; Sharon Amit; Relly Forer; Ina Vulih Shultsman; Dan Turner
Journal:  J Clin Microbiol       Date:  2013-01-02       Impact factor: 5.948

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