6 research outputs found

    RT-SHIV subpopulation dynamics in infected macaques during anti-HIV therapy

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    <p>Abstract</p> <p>Background</p> <p>To study the dynamics of wild-type and drug-resistant HIV-1 RT variants, we developed a methodology that follows the fates of individual genomes over time within the viral quasispecies. Single genome sequences were obtained from 3 pigtail macaques infected with a recombinant simian immunodeficiency virus containing the RT coding region from HIV-1 (RT-SHIV) and treated with short-course efavirenz monotherapy 13 weeks post-infection followed by daily combination antiretroviral therapy (ART) beginning at week 17. Bioinformatics tools were constructed to trace individual genomes from the beginning of infection to the end of the treatment.</p> <p>Results</p> <p>A well characterized challenge RT-SHIV inoculum was used to infect three monkeys. The RT-SHIV inoculum had 9 variant subpopulations and the dominant subpopulation accounted for 80% of the total genomes. In two of the three monkeys, the inoculated wild-type virus was rapidly replaced by new wild type variants. By week 13, the original dominant subpopulation in the inoculum was replaced by new dominant subpopulations, followed by emergence of variants carrying known NNRTI resistance mutations. However, during ART, virus subpopulations containing resistance mutations did not outgrow the wide-type subpopulations until a minor subpopulation carrying linked drug resistance mutations (K103N/M184I) emerged. We observed that persistent viremia during ART is primarily made up of wild type subpopulations. We also found that subpopulations carrying the V75L mutation, not known to be associated with NNRTI resistance, emerged initially in week 13 in two macaques. Eventually, all subpopulations from these two macaques carried the V75L mutation.</p> <p>Conclusion</p> <p>This study quantitatively describes virus evolution and population dynamics patterns in an animal model. The fact that wild type subpopulations remained as dominant subpopulations during ART treatment suggests that the presence or absence of at least some known drug resistant mutations may not greatly affect virus replication capacity <it>in vivo</it>. Additionally, the emergence and prevalence of V75L indicates that this mutation may provide the virus a selective advantage, perhaps escaping the host immure system surveillance. Our new method to quantitatively analyze viral population dynamics enabled us to observe the relative competitiveness and adaption of different viral variants and provided a valuable tool for studying HIV subpopulation emergence, persistence, and decline during ART.</p

    Characterisation of mutational profiles associated with anti HIV-1 and anti-HBV drugs

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    The profile of mutational clusters associated with lamivudine resistance can be constrained by HBV genotypes

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    To investigate the different clusters of mutations associated with lamivudine resistance in HBV genotypes D and A

    Dynamics of NRTI resistance mutations during therapy interruption

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    Abstract To date, very little information is available regarding the evolution of drug resistance mutations during treatment interruption (TI). Using a survival analysis approach, we investigated the dynamics of mutations associated with resistance to nucleoside analogue reverse transcriptase inhibitors (NRTIs) during TI. Analyzing 132 patients having at least two consecutive genotypes, one at last NRTI-containing regimen failure, and at least one during TI, we observed that the NRTI resistance mutations disappear at different rates during TI and are lost independently of each other in the majority of patients. The disappearance of the K65R and M184I/V mutations occurred in the majority of patients, was rapid, and was associated with the reemergence of wild-type virus, thus showing their negative impact on viral fitness. Overall, it seems that the loss of NRTI drug resistance mutations during TI is not an ordered process, and in the majority of patients occurs without specific interaction among mutations
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