OBJECTIVES: To compare the population dynamics of HIV-2 and HIV-1, and to characterize ongoing HIV-2 transmission in rural Guinea-Bissau. DESIGN: Phylogenetic and phylodynamic analyses using HIV-2 gag and env, and HIV-1 env sequences, combined with epidemiological data from a community cohort. METHODS: Samples were obtained from surveys in 1989-1991, 1996-1997, 2003 and 2006-2007. Phylogenies were reconstructed using sequences from 103 HIV-2-infected and 56 HIV-1-infected patients using Bayesian Evolutionary Analysis by Sampling Trees (BEAST), a relaxed molecular clock and a Bayesian skyline coalescent model. RESULTS: Bayesian skyline plots showed a strong increase in the 1990s of the HIV-1 effective population size (Ne) in the same period that the Ne of HIV-2 came into a plateau phase. The population dynamics of both viruses were remarkably similar following initial introduction. Incident infections were found more often in HIV-2 transmission clusters, with 55-58% of all individuals contributing to ongoing transmission. Some phylogenetically linked sexual partners had discordant viral loads (undetectable vs. detectable), suggesting host factors dictate the risk of disease progression in HIV-2. Multiple HIV-2 introductions into the cohort are evident, but ongoing transmission has occurred predominantly within the community. CONCLUSION: Comparison of HIV-1 and HIV-2 phylodynamics in the same community suggests both viruses followed similar growth patterns following introduction, and is consistent with the hypothesis that HIV-1 may have played a role in the decline of HIV-2 via competitive exclusion. The source of ongoing HIV-2 transmission in the cohort appears to be new HIV-2 cases, rather than the pool of older infections established during the early growth of HIV-2.
OBJECTIVES: To compare the population dynamics of HIV-2 and HIV-1, and to characterize ongoing HIV-2 transmission in rural Guinea-Bissau. DESIGN: Phylogenetic and phylodynamic analyses using HIV-2 gag and env, and HIV-1 env sequences, combined with epidemiological data from a community cohort. METHODS: Samples were obtained from surveys in 1989-1991, 1996-1997, 2003 and 2006-2007. Phylogenies were reconstructed using sequences from 103 HIV-2-infected and 56 HIV-1-infected patients using Bayesian Evolutionary Analysis by Sampling Trees (BEAST), a relaxed molecular clock and a Bayesian skyline coalescent model. RESULTS: Bayesian skyline plots showed a strong increase in the 1990s of the HIV-1 effective population size (Ne) in the same period that the Ne of HIV-2 came into a plateau phase. The population dynamics of both viruses were remarkably similar following initial introduction. Incident infections were found more often in HIV-2 transmission clusters, with 55-58% of all individuals contributing to ongoing transmission. Some phylogenetically linked sexual partners had discordant viral loads (undetectable vs. detectable), suggesting host factors dictate the risk of disease progression in HIV-2. Multiple HIV-2 introductions into the cohort are evident, but ongoing transmission has occurred predominantly within the community. CONCLUSION: Comparison of HIV-1 and HIV-2 phylodynamics in the same community suggests both viruses followed similar growth patterns following introduction, and is consistent with the hypothesis that HIV-1 may have played a role in the decline of HIV-2 via competitive exclusion. The source of ongoing HIV-2 transmission in the cohort appears to be new HIV-2 cases, rather than the pool of older infections established during the early growth of HIV-2.
Authors: Ann M Dennis; Joshua T Herbeck; Andrew L Brown; Paul Kellam; Tulio de Oliveira; Deenan Pillay; Christophe Fraser; Myron S Cohen Journal: J Acquir Immune Defic Syndr Date: 2014-10-01 Impact factor: 3.731
Authors: Isabel Inês M de Pina-Araujo; Monick L Guimarães; Gonzalo Bello; Ana Carolina P Vicente; Mariza G Morgado Journal: PLoS One Date: 2014-04-24 Impact factor: 3.240
Authors: Helen R Fryer; Carla Van Tienen; Maarten Schim Van Der Loeff; Peter Aaby; Zacarias J Da Silva; Hilton Whittle; Sarah L Rowland-Jones; Thushan I de Silva Journal: AIDS Date: 2015-11-28 Impact factor: 4.177
Authors: Santiago Pérez-Parra; Natalia Chueca; Marta Álvarez; Juan Pasquau; Mohamed Omar; Antonio Collado; David Vinuesa; Ana B Lozano; Gonzalo Yebra; Federico García Journal: PLoS One Date: 2016-12-21 Impact factor: 3.240
Authors: Marie Leoz; Felix Feyertag; Anfumbom Kfutwah; Philippe Mauclère; Guillaume Lachenal; Florence Damond; Fabienne De Oliveira; Véronique Lemée; François Simon; David L Robertson; Jean-Christophe Plantier Journal: PLoS Pathog Date: 2015-08-04 Impact factor: 6.823