OBJECTIVES: As access to antiretrovirals (ARV) increases in developing countries, the identification of optimal therapeutic regimens and prevention strategies requires the identification of resistance pathways in non-B subtypes as well as the surveillance of drug mutation resistance (SDMR) including the trafficking of viral strains between high-risk groups such as commercial sex workers (CSW) and the general population (GP). In this study, the authors evaluated the rate of primary resistance mutations and the epidemiological link between isolates from GP and CSW from Bénin. METHODS: Plasma samples were obtained from 129 HIV-1-infected treatment-naïve individuals. Drug resistance mutations were identified using SDMR list and compared with other resistance algorithms. RESULTS: No nucleoside reverse transcriptase inhibitor resistance mutations were found. Four patients had non-nucleoside reverse transcriptase inhibitor resistance (K103N, G190A). One patient exhibited protease inhibitors resistance mutation, F53Y. Using the SDMR list, the authors obtained a rate of 3.9% of primary resistance. Nevertheless, the authors observed several mutations not on SDMR list but included in others resistance database, taking those mutations into account, the authors obtained a rate of 15.5%. CONCLUSIONS: Although our results show a low rate of SDMR, this algorithm may underestimate resistance mutations that may impact treatment options in developing countries. Primary resistance rates were similar in CSW and in the GP. Our phylogenetic analysis confirmed the genetic exchange between groups.
OBJECTIVES: As access to antiretrovirals (ARV) increases in developing countries, the identification of optimal therapeutic regimens and prevention strategies requires the identification of resistance pathways in non-B subtypes as well as the surveillance of drug mutation resistance (SDMR) including the trafficking of viral strains between high-risk groups such as commercial sex workers (CSW) and the general population (GP). In this study, the authors evaluated the rate of primary resistance mutations and the epidemiological link between isolates from GP and CSW from Bénin. METHODS: Plasma samples were obtained from 129 HIV-1-infected treatment-naïve individuals. Drug resistance mutations were identified using SDMR list and compared with other resistance algorithms. RESULTS: No nucleoside reverse transcriptase inhibitor resistance mutations were found. Four patients had non-nucleoside reverse transcriptase inhibitor resistance (K103N, G190A). One patient exhibited protease inhibitors resistance mutation, F53Y. Using the SDMR list, the authors obtained a rate of 3.9% of primary resistance. Nevertheless, the authors observed several mutations not on SDMR list but included in others resistance database, taking those mutations into account, the authors obtained a rate of 15.5%. CONCLUSIONS: Although our results show a low rate of SDMR, this algorithm may underestimate resistance mutations that may impact treatment options in developing countries. Primary resistance rates were similar in CSW and in the GP. Our phylogenetic analysis confirmed the genetic exchange between groups.
Authors: Laurie-Anne Batraville; Jonathan Richard; Maxime Veillette; Annie-Claude Labbé; Michel Alary; Fernand Guédou; Daniel E Kaufmann; Johanne Poudrier; Andrés Finzi; Michel Roger Journal: AIDS Res Hum Retroviruses Date: 2014-11 Impact factor: 2.205
Authors: Chris Beyrer; Anna-Louise Crago; Linda-Gail Bekker; Jenny Butler; Kate Shannon; Deanna Kerrigan; Michele R Decker; Stefan D Baral; Tonia Poteat; Andrea L Wirtz; Brian W Weir; Françoise Barré-Sinoussi; Michel Kazatchkine; Michel Sidibé; Karl-Lorenz Dehne; Marie-Claude Boily; Steffanie A Strathdee Journal: Lancet Date: 2014-07-22 Impact factor: 79.321
Authors: Isabel Inês M de Pina-Araujo; Edson Delatorre; Monick L Guimarães; Mariza G Morgado; Gonzalo Bello Journal: PLoS One Date: 2015-05-20 Impact factor: 3.240
Authors: Susan M Graham; Vrasha Chohan; Keshet Ronen; Ruth W Deya; Linnet N Masese; Kishor N Mandaliya; Norbert M Peshu; Dara A Lehman; R Scott McClelland; Julie Overbaugh Journal: Open Forum Infect Dis Date: 2016-02-02 Impact factor: 3.835