Literature DB >> 16849208

HIV recombination: what is the impact on antiretroviral therapy?

Christophe Fraser1.   

Abstract

Retroviral recombination is a potential mechanism for the development of multiply drug resistant viral strains but the impact on the clinical outcomes of antiretroviral therapy in HIV-infected patients is unclear. Recombination can favour resistance by combining single-point mutations into a multiply resistant genome but can also hinder resistance by breaking up associations between mutations. Previous analyses, based on population genetic models, have suggested that whether recombination is favoured or hindered depends on the fitness interactions between loci, or epistasis. In this paper, a mathematical model is developed that includes viral dynamics during therapy and shows that population dynamics interact non-trivially with population genetics. The outcome of therapy depends critically on the changes to the frequency of cell co-infection and I review the evidence available. Where recombination does have an effect on therapy, it is always to slow or even halt the emergence of multiply resistant strains. I also find that for patients newly infected with multiply resistant strains, recombination can act to prevent reversion to wild-type virus. The analysis suggests that treatment targeted at multiple parts of the viral life-cycle may be less prone to drug resistance due to the genetic barrier caused by recombination but that, once selected, mutants resistant to such regimens may be better able to persist in the population.

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Year:  2005        PMID: 16849208      PMCID: PMC1618498          DOI: 10.1098/rsif.2005.0064

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  26 in total

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3.  Recombination in HIV and the evolution of drug resistance: for better or for worse?

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5.  Recombination: Multiply infected spleen cells in HIV patients.

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6.  Dynamics of HIV-1 recombination in its natural target cells.

Authors:  David N Levy; Grace M Aldrovandi; Olaf Kutsch; George M Shaw
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-09       Impact factor: 11.205

7.  Human immunodeficiency virus type 1 recombination: rate, fidelity, and putative hot spots.

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8.  Triple-nucleoside regimens versus efavirenz-containing regimens for the initial treatment of HIV-1 infection.

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9.  Multiplicity of human immunodeficiency virus infections in lymphoid tissue.

Authors:  Narendra M Dixit; Alan S Perelson
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10.  Network analysis of human and simian immunodeficiency virus sequence sets reveals massive recombination resulting in shorter pathways.

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  30 in total

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2.  Suboptimal provirus expression explains apparent nonrandom cell coinfection with HIV-1.

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Review 3.  Viral quasispecies evolution.

Authors:  Esteban Domingo; Julie Sheldon; Celia Perales
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

4.  Effect of different modes of viral spread on the dynamics of multiply infected cells in human immunodeficiency virus infection.

Authors:  Dominik Wodarz; David N Levy
Journal:  J R Soc Interface       Date:  2010-07-21       Impact factor: 4.118

5.  Recombination favors the evolution of drug resistance in HIV-1 during antiretroviral therapy.

Authors:  Antonio Carvajal-Rodríguez; Keith A Crandall; David Posada
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6.  A phylogenetic and Markov model approach for the reconstruction of mutational pathways of drug resistance.

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7.  Clonality and intracellular polyploidy in virus evolution and pathogenesis.

Authors:  Celia Perales; Elena Moreno; Esteban Domingo
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-20       Impact factor: 11.205

8.  Effect of synaptic cell-to-cell transmission and recombination on the evolution of double mutants in HIV.

Authors:  Jesse Kreger; Natalia L Komarova; Dominik Wodarz
Journal:  J R Soc Interface       Date:  2020-03-25       Impact factor: 4.118

9.  Accurately measuring recombination between closely related HIV-1 genomes.

Authors:  Timothy E Schlub; Redmond P Smyth; Andrew J Grimm; Johnson Mak; Miles P Davenport
Journal:  PLoS Comput Biol       Date:  2010-04-29       Impact factor: 4.475

10.  Virus dynamics in the presence of synaptic transmission.

Authors:  Natalia L Komarova; Dominik Wodarz
Journal:  Math Biosci       Date:  2013-01-25       Impact factor: 2.144

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