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.
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.
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
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
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
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