Literature DB >> 12447982

Mathematical models of HIV pathogenesis and treatment.

Dominik Wodarz1, Martin A Nowak.   

Abstract

We review mathematical models of HIV dynamics, disease progression, and therapy. We start by introducing a basic model of virus infection and demonstrate how it was used to study HIV dynamics and to measure crucial parameters that lead to a new understanding of the disease process. We discuss the diversity threshold model as an example of the general principle that virus evolution can drive disease progression and the destruction of the immune system. Finally, we show how mathematical models can be used to understand correlates of long-term immunological control of HIV, and to design therapy regimes that convert a progressing patient into a state of long-term non-progression. Copyright 2002 Wiley-Periodicals, Inc.

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Year:  2002        PMID: 12447982     DOI: 10.1002/bies.10196

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  53 in total

1.  Computational design of antiviral RNA interference strategies that resist human immunodeficiency virus escape.

Authors:  Joshua N Leonard; David V Schaffer
Journal:  J Virol       Date:  2005-02       Impact factor: 5.103

Review 2.  Resistance to HIV infection.

Authors:  M Marmor; K Hertzmark; S M Thomas; P N Halkitis; M Vogler
Journal:  J Urban Health       Date:  2006-01       Impact factor: 3.671

3.  Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus?

Authors:  Dominik Wodarz; Dean H Hamer
Journal:  Math Biosci       Date:  2007-02-08       Impact factor: 2.144

4.  A simple immune system simulation reveals optimal movement and cell density parameters for successful target clearance.

Authors:  David Nicholson; Lindsay B Nicholson
Journal:  Immunology       Date:  2007-11-05       Impact factor: 7.397

5.  Can the viral reservoir of latently infected CD4(+) T cells be eradicated with antiretroviral HIV drugs?

Authors:  Robert J Smith; B D Aggarwala
Journal:  J Math Biol       Date:  2009-01-23       Impact factor: 2.259

6.  A mathematical model of HIV dynamics in the presence of a rescuing virus with replication deficiency.

Authors:  Elias Zintzaras; Axel Kowald
Journal:  Theory Biosci       Date:  2011-01-29       Impact factor: 1.919

7.  Stochastic models for virus and immune system dynamics.

Authors:  Yuan Yuan; Linda J S Allen
Journal:  Math Biosci       Date:  2011-09-16       Impact factor: 2.144

Review 8.  A mechanistic theory to explain the efficacy of antiretroviral therapy.

Authors:  Sarah B Laskey; Robert F Siliciano
Journal:  Nat Rev Microbiol       Date:  2014-09-29       Impact factor: 60.633

9.  Ecological theory to enhance infectious disease control and public health policy.

Authors:  Katherine F Smith; Andrew P Dobson; F Ellis McKenzie; Leslie A Real; David L Smith; Mark L Wilson
Journal:  Front Ecol Environ       Date:  2005-02-01       Impact factor: 11.123

Review 10.  Modeling HIV persistence, the latent reservoir, and viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  J Theor Biol       Date:  2009-06-17       Impact factor: 2.691

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