Document Detail


Population dynamics of HIV-2 in rural West Africa: comparison with HIV-1 and ongoing transmission at the heart of the epidemic.
MedLine Citation:
PMID:  23032414     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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:
Thushan I de Silva; Carla van Tienen; Clayton Onyango; Abdoulie Jabang; Tim Vincent; Maarten F Schim van der Loeff; Roel A Coutinho; Assan Jaye; Sarah Rowland-Jones; Hilton Whittle; Matthew Cotten; Stéphane Hué
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  AIDS (London, England)     Volume:  27     ISSN:  1473-5571     ISO Abbreviation:  AIDS     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-12     Completed Date:  2013-06-17     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  8710219     Medline TA:  AIDS     Country:  England    
Other Details:
Languages:  eng     Pagination:  125-34     Citation Subset:  IM; X    
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MeSH Terms
Descriptor/Qualifier:
Bayes Theorem
Cluster Analysis
Female
Guinea-Bissau / epidemiology
HIV Infections / epidemiology*,  transmission*,  virology
HIV-1* / genetics
HIV-2* / genetics
Humans
Male
Middle Aged
Phylogeny
Rural Population / statistics & numerical data*
Sexual Partners
env Gene Products, Human Immunodeficiency Virus / genetics*
gag Gene Products, Human Immunodeficiency Virus / genetics*
Grant Support
ID/Acronym/Agency:
G0701313//Medical Research Council; G0801751//Medical Research Council; MC_U137884180//Medical Research Council; MC_UP_A900_1125//Medical Research Council
Chemical
Reg. No./Substance:
0/env Gene Products, Human Immunodeficiency Virus; 0/gag Gene Products, Human Immunodeficiency Virus

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