Literature DB >> 1543568

Competition between zidovudine-sensitive and zidovudine-resistant strains of HIV.

A R McLean1, M A Nowak.   

Abstract

OBJECTIVE: To investigate competitive interactions between zidovudine-sensitive and resistant strains of HIV within the context of host-parasite population dynamic interactions between CD4+ cells and HIV.
DESIGN: A mathematical model of the population dynamics of CD4+ cells, sensitive HIV and resistant HIV is developed.
METHODS: The model is analysed numerically and analytically and model predictions are compared with previously published data on population dynamics of HIV and CD4+ cells in patients receiving zidovudine. A threshold result describing the critical dose of zidovudine above which resistant HIV will out-compete sensitive HIV is derived, as are expressions describing the critical effective doses for the eradication of sensitive and resistant strains. Numerical simulations of the dynamics of the shift from the pre-treatment, equilibrium to the treatment equilibrium are presented and an analytic expression approximating the time taken until virus growth restarts is derived.
RESULTS: It is shown that competition between strains of virus is the important factor determining which type of virus will eventually start to grow during the course of zidovudine treatment, but host-parasite interactions are the important determinant of when viral resurgence occurs.
CONCLUSIONS: Although resistant strains are observed after prolonged treatment with zidovudine, this model suggests that it is the growing supply of uninfected CD4+ cells which causes the eventual upsurge in viral burden.

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Year:  1992        PMID: 1543568     DOI: 10.1097/00002030-199201000-00009

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


  29 in total

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3.  Viral dynamics of primary viremia and antiretroviral therapy in simian immunodeficiency virus infection.

Authors:  M A Nowak; A L Lloyd; G M Vasquez; T A Wiltrout; L M Wahl; N Bischofberger; J Williams; A Kinter; A S Fauci; V M Hirsch; J D Lifson
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4.  Viral dynamics in vivo: limitations on estimates of intracellular delay and virus decay.

Authors:  A V Herz; S Bonhoeffer; R M Anderson; R M May; M A Nowak
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5.  Pre-existence and emergence of drug resistance in HIV-1 infection.

Authors:  S Bonhoeffer; M A Nowak
Journal:  Proc Biol Sci       Date:  1997-05-22       Impact factor: 5.349

6.  Virus dynamics and drug therapy.

Authors:  S Bonhoeffer; R M May; G M Shaw; M A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-24       Impact factor: 11.205

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8.  Host-parasite dynamics and outgrowth of virus containing a single K70R amino acid change in reverse transcriptase are responsible for the loss of human immunodeficiency virus type 1 RNA load suppression by zidovudine.

Authors:  M D de Jong; J Veenstra; N I Stilianakis; R Schuurman; J M Lange; R J de Boer; C A Boucher
Journal:  Proc Natl Acad Sci U S A       Date:  1996-05-28       Impact factor: 11.205

9.  Computational immunology meets bioinformatics: the use of prediction tools for molecular binding in the simulation of the immune system.

Authors:  Nicolas Rapin; Ole Lund; Massimo Bernaschi; Filippo Castiglione
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10.  A multi-variant, viral dynamic model of genotype 1 HCV to assess the in vivo evolution of protease-inhibitor resistant variants.

Authors:  Bambang S Adiwijaya; Eva Herrmann; Brian Hare; Tara Kieffer; Chao Lin; Ann D Kwong; Varun Garg; John C R Randle; Christoph Sarrazin; Stefan Zeuzem; Paul R Caron
Journal:  PLoS Comput Biol       Date:  2010-04-15       Impact factor: 4.475

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