ArticlePloS one2011
HIV quasispecies dynamics during pro-active treatment switching: impact on multi-drug resistance and resistance archiving in latent reservoirs.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 40 citations in OpenAlex.
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- Modelling the impact of initiation delay, duration and prior PrEP on the efficacy of post-exposure prophylaxis containing a tenofovir/emtricitabine backbone.Journal of the International AIDS Society · 2025Article
- Quasispecies theory and emerging viruses: challenges and applications.Npj viruses · 2024Review
- Numerical approaches for the rapid analysis of prophylactic efficacy against HIV with arbitrary drug-dosing schemes.PLoS computational biology · 2021Article
- Rapid incidence estimation from SARS-CoV-2 genomes reveals decreased case detection in Europe during summer 2020.Nature communications · 2021Article
- The Utility of Efavirenz-based Prophylaxis Against HIV Infection. A Systems Pharmacological Analysis.Frontiers in pharmacology · 2019Article
- Modeling HIV Pre-Exposure Prophylaxis.Frontiers in pharmacology · 2019Review
- Mechanistic framework predicts drug-class specific utility of antiretrovirals for HIV prophylaxis.PLoS computational biology · 2019Article
- Hybrid stochastic framework predicts efficacy of prophylaxis against HIV: An example with different dolutegravir prophylaxis schemes.PLoS computational biology · 2018Article
- Human Immunodeficiency Virus Resistance Testing Technologies and Their Applicability in Resource-Limited Settings of Africa.Infectious diseases · 2017Review
- Optimal Treatment Strategies in the Context of 'Treatment for Prevention' against HIV-1 in Resource-Poor Settings.PLoS computational biology · 2015Article
- Estimating HIV-1 fitness characteristics from cross-sectional genotype data.PLoS computational biology · 2014Article
- Human Ebola virus infection in West Africa: a review of available therapeutic agents that target different steps of the life cycle of Ebola virus.Infectious diseases of poverty · 2014Article
- In vitro HIV-1 evolution in response to triple reverse transcriptase inhibitors & in silico phenotypic analysis.PloS one · 2013Article
- Viral quasispecies evolution.Microbiology and molecular biology reviews : MMBR · 2012Review
- HIV-1 polymerase inhibition by nucleoside analogs: cellular- and kinetic parameters of efficacy, susceptibility and resistance selection.PLoS computational biology · 2012Article
- Article
- Tempo and mode of inhibitor-mutagen antiviral therapies: a multidisciplinary approach.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human immunodeficiency virus (HIV) can be suppressed by highly active anti-retroviral therapy (HAART) in the majority of infected patients. Nevertheless, treatment interruptions inevitably result in viral rebounds from persistent, latently infected cells, necessitating lifelong treatment. Virological failure due to resistance development is a frequent event and the major threat to treatment success. Currently, it is recommended to change treatment after the confirmation of virological failure. However, at the moment virological failure is detected, drug resistant mutants already replicate in great numbers. They infect numerous cells, many of which will turn into latently infected cells. This pool of cells represents an archive of resistance, which has the potential of limiting future treatment options. The objective of this study was to design a treatment strategy for treatment-naive patients that decreases the likelihood of early treatment failure and preserves future treatment options. We propose to apply a single, pro-active treatment switch, following a period of treatment with an induction regimen. The main goal of the induction regimen is to decrease the abundance of randomly generated mutants that confer resistance to the maintenance regimen, thereby increasing subsequent treatment success. Treatment is switched before the overgrowth and archiving of mutant strains that carry resistance against the induction regimen and would limit its future re-use. In silico modelling shows that an optimal trade-off is achieved by switching treatment at days after the initiation of antiviral therapy. Evaluation of the proposed treatment strategy demonstrated significant improvements in terms of resistance archiving and virological response, as compared to conventional HAART. While continuous pro-active treatment alternation improved the clinical outcome in a randomized trial, our results indicate that a similar improvement might also be reached after a single pro-active treatment switch. The clinical validity of this finding, however, remains to be shown by a corresponding trial.
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