Literature DB >> 22258921

Frequency and patterns of protease gene resistance mutations in HIV-infected patients treated with lopinavir/ritonavir as their first protease inhibitor.

Tristan J Barber1, Linda Harrison, David Asboe, Ian Williams, Stuart Kirk, Richard Gilson, Loveleen Bansi, Deenan Pillay, David Dunn.   

Abstract

BACKGROUND: Selection of protease mutations on antiretroviral therapy (ART) including a ritonavir-boosted protease inhibitor (PI) has been reported infrequently. Scarce data exist from long-term cohorts on resistance incidence or mutational patterns emerging to different PIs.
METHODS: We studied UK patients receiving lopinavir/ritonavir as their first PI, either while naive to ART or having previously received non-PI-based ART. Virological failure was defined as viral load ≥ 400 copies/mL after previous suppression <400 copies/mL, or failure to achieve <400 copies/mL during the first 6 months. pol sequences whilst failing lopinavir or within 30 days after stopping were analysed. Major and minor mutations (IAS-USA 2008-after exclusion of polymorphisms) were considered. Predicted susceptibility was determined using the Stanford HIVdb algorithm.
RESULTS: Three thousand and fifty-six patients were followed for a median (IQR) of 14 (6-30) months, of whom 811 (27%) experienced virological failure. Of these, resistance test results were available on 291 (36%). One or more protease mutations were detected in 32 (11%) patients; the most frequent were I54V (n = 12), M46I (n = 11), V82A (n = 7) and L76V (n = 3). No association with viral subtype was evident. Many patients retained virus predicted to be susceptible to lopinavir (14, 44%), tipranavir (26, 81%) and darunavir (27, 84%).
CONCLUSIONS: This study reflects the experience of patients in routine care. Selection of protease gene mutations by lopinavir/ritonavir occurred at a much higher rate than in clinical trials. The mutations observed showed only partial overlap with those previously identified by structural chemistry models, serial cell culture passage and genotype-phenotype analyses. There remained a low degree of predicted cross-resistance to other widely used PIs.

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Year:  2012        PMID: 22258921     DOI: 10.1093/jac/dkr569

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


  14 in total

1.  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

2.  Human Immunodeficiency Virus Type 1 Drug Resistance Mutations Update.

Authors:  Robert W Shafer
Journal:  J Infect Dis       Date:  2017-12-01       Impact factor: 5.226

Review 3.  HIV-1 antiretroviral resistance: scientific principles and clinical applications.

Authors:  Michele W Tang; Robert W Shafer
Journal:  Drugs       Date:  2012-06-18       Impact factor: 9.546

4.  HIV-1 Drug Resistance Mutations: Potential Applications for Point-of-Care Genotypic Resistance Testing.

Authors:  Soo-Yon Rhee; Michael R Jordan; Elliot Raizes; Arlene Chua; Neil Parkin; Rami Kantor; Gert U Van Zyl; Irene Mukui; Mina C Hosseinipour; Lisa M Frenkel; Nicaise Ndembi; Raph L Hamers; Tobias F Rinke de Wit; Carole L Wallis; Ravindra K Gupta; Joseph Fokam; Clement Zeh; Jonathan M Schapiro; Sergio Carmona; David Katzenstein; Michele Tang; Avelin F Aghokeng; Tulio De Oliveira; Annemarie M J Wensing; Joel E Gallant; Mark A Wainberg; Douglas D Richman; Joseph E Fitzgibbon; Marco Schito; Silvia Bertagnolio; Chunfu Yang; Robert W Shafer
Journal:  PLoS One       Date:  2015-12-30       Impact factor: 3.240

5.  HIV-1 drug resistance mutations emerging on darunavir therapy in PI-naive and -experienced patients in the UK.

Authors:  Kate El Bouzidi; Ellen White; Jean L Mbisa; Caroline A Sabin; Andrew N Phillips; Nicola Mackie; Anton L Pozniak; Anna Tostevin; Deenan Pillay; David T Dunn
Journal:  J Antimicrob Chemother       Date:  2016-09-28       Impact factor: 5.790

6.  Evolution of gag and gp41 in Patients Receiving Ritonavir-Boosted Protease Inhibitors.

Authors:  Justen Manasa; Vici Varghese; Sergei L Kosakovsky Pond; Soo-Yon Rhee; Philip L Tzou; W Jeffrey Fessel; Karen S Jang; Elizabeth White; Thorsteinn Rögnvaldsson; David A Katzenstein; Robert W Shafer
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

Review 7.  HIV-1 drug resistance and resistance testing.

Authors:  Dana S Clutter; Michael R Jordan; Silvia Bertagnolio; Robert W Shafer
Journal:  Infect Genet Evol       Date:  2016-08-29       Impact factor: 3.342

8.  Trends in Genotypic HIV-1 Antiretroviral Resistance between 2006 and 2012 in South African Patients Receiving First- and Second-Line Antiretroviral Treatment Regimens.

Authors:  Gert U Van Zyl; Tommy F Liu; Mathilda Claassen; Susan Engelbrecht; Tulio de Oliveira; Wolfgang Preiser; Natasha T Wood; Simon Travers; Robert W Shafer
Journal:  PLoS One       Date:  2013-06-26       Impact factor: 3.240

9.  Comparable long-term efficacy of Lopinavir/Ritonavir and similar drug-resistance profiles in different HIV-1 subtypes.

Authors:  Zehava Grossman; Jonathan M Schapiro; Itzchak Levy; Daniel Elbirt; Michal Chowers; Klaris Riesenberg; Karen Olstein-Pops; Eduardo Shahar; Valery Istomin; Ilan Asher; Bat-Sheva Gottessman; Yonat Shemer; Hila Elinav; Gamal Hassoun; Shira Rosenberg; Diana Averbuch; Keren Machleb-Guri; Zipi Kra-Oz; Sara Radian-Sade; Hagit Rudich; Daniela Ram; Shlomo Maayan; Nancy Agmon-Levin; Zev Sthoeger
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

10.  Selection analyses of paired HIV-1 gag and gp41 sequences obtained before and after antiretroviral therapy.

Authors:  Philip L Tzou; Soo-Yon Rhee; Sergei L Kosakovsky Pond; Justen Manasa; Robert W Shafer
Journal:  Sci Data       Date:  2018-07-24       Impact factor: 6.444

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