Literature DB >> 9543443

The frequency of resistant mutant virus before antiviral therapy.

R M Ribeiro1, S Bonhoeffer, M A Nowak.   

Abstract

OBJECTIVE: To calculate the expected prevalence of resistant HIV mutants before antiviral therapy.
DESIGN: HIV replication generates virus mutants. The prevalence of these mutants is determined by mutation and selection/fitness. Some mutations will confer drug resistance and it is crucial for the success of antiviral drug therapy to determine whether these resistant viruses are present before the initiation of therapy.
METHODS: A quasispecies equation was used to calculate the expected frequency of drug-resistant virus prior to therapy. RESULTS AND
CONCLUSIONS: We show how the pretreatment frequency of resistant virus depends on the number of point mutations between wild-type and mutant virus, the selective disadvantage of the resistant mutant and the intermediate mutants, and the mutation rate.

Mesh:

Substances:

Year:  1998        PMID: 9543443     DOI: 10.1097/00002030-199805000-00006

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  42 in total

1.  A simple relationship between viral load and survival time in HIV-1 infection.

Authors:  R A Arnaout; A L Lloyd; T R O'Brien; J J Goedert; J M Leonard; M A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

2.  Adherence and drug resistance: predictions for therapy outcome.

Authors:  L M Wahl; M A Nowak
Journal:  Proc Biol Sci       Date:  2000-04-22       Impact factor: 5.349

3.  Production of resistant HIV mutants during antiretroviral therapy.

Authors:  R M Ribeiro; S Bonhoeffer
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

4.  Evolution of resistance during clonal expansion.

Authors:  Yoh Iwasa; Martin A Nowak; Franziska Michor
Journal:  Genetics       Date:  2006-04       Impact factor: 4.562

5.  Evolutionary dynamics of escape from biomedical intervention.

Authors:  Yoh Iwasa; Franziska Michor; Martin A Nowak
Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

6.  Procedures for reliable estimation of viral fitness from time-series data.

Authors:  Sebastian Bonhoeffer; Andrew D Barbour; Rob J De Boer
Journal:  Proc Biol Sci       Date:  2002-09-22       Impact factor: 5.349

7.  Analysis of selection pressure and mutational pattern of HIV type 1 reverse transcriptase region among treated and nontreated patients.

Authors:  Uma Shanmugasundaram; Suniti Solomon; Vidya Madhavan; Murugavel G Kailapuri; Kumarasamy Nagalingeswaran; Sunil Suhas Solomon; Kenneth H Mayer; Balakrishnan Pachamuthu
Journal:  AIDS Res Hum Retroviruses       Date:  2010-09-19       Impact factor: 2.205

Review 8.  Minority variants of drug-resistant HIV.

Authors:  Sara Gianella; Douglas D Richman
Journal:  J Infect Dis       Date:  2010-09-01       Impact factor: 5.226

9.  HIV recombination: what is the impact on antiretroviral therapy?

Authors:  Christophe Fraser
Journal:  J R Soc Interface       Date:  2005-12-22       Impact factor: 4.118

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

Authors:  Antonio Carvajal-Rodríguez; Keith A Crandall; David Posada
Journal:  Infect Genet Evol       Date:  2007-02-12       Impact factor: 3.342

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