Literature DB >> 7996863

Modeling HIV infection of CD4+ T-cell subpopulations.

P Essunger1, A S Perelson.   

Abstract

We develop and analyze a set of models for the interaction of HIV with CD4+ T cells. We consider three major subpopulations of T cells: virgin, activated and memory. In our first model we assume that HIV can infect activated cells but not resting cells. We then generalize the model to take into account recent reports that HIV can enter resting cells but that such entry does not lead to the production of completely reverse transcribed copies of the viral genome or integration of the DNA copy into the host cell's genome unless cell activation occurs. Our models show that T-cell memory is greatly reduced by HIV infection and that T-cell depletion may be due to the direct killing of peripheral T cells and T-cell precursors in the thymus.

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Year:  1994        PMID: 7996863     DOI: 10.1006/jtbi.1994.1199

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  15 in total

Review 1.  Systems immunology: a survey of modeling formalisms, applications and simulation tools.

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Journal:  Immunol Res       Date:  2012-09       Impact factor: 2.829

2.  Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.

Authors:  Libin Rong; Michael A Gilchrist; Zhilan Feng; Alan S Perelson
Journal:  J Theor Biol       Date:  2007-04-19       Impact factor: 2.691

3.  A non-linear mixed effect dynamic model incorporating prior exposure and adherence to treatment to describe long-term therapy outcome in HIV-patients.

Authors:  Line Labbé; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-20       Impact factor: 2.745

4.  Clinical data sets of human immunodeficiency virus type 1 reverse transcriptase-resistant mutants explained by a mathematical model.

Authors:  N I Stilianakis; C A Boucher; M D De Jong; R Van Leeuwen; R Schuurman; R J De Boer
Journal:  J Virol       Date:  1997-01       Impact factor: 5.103

5.  Using modeling to help understand vaginal microbicide functionality and create better products.

Authors:  David F Katz; Yajing Gao; Meng Kang
Journal:  Drug Deliv Transl Res       Date:  2011-05-17       Impact factor: 4.617

Review 6.  The role of antigenic stimulation and cytotoxic T cell activity in regulating the long-term immunopathogenesis of HIV: mechanisms and clinical implications.

Authors:  C Fraser; N M Ferguson; F de Wolf; R M Anderson
Journal:  Proc Biol Sci       Date:  2001-10-22       Impact factor: 5.349

7.  A mathematical model and CD4+ lymphocyte dynamics in HIV infection.

Authors:  T Hraba; J Dolezal
Journal:  Emerg Infect Dis       Date:  1996 Oct-Dec       Impact factor: 6.883

8.  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
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

Review 9.  Modelling the course of an HIV infection: insights from ecology and evolution.

Authors:  Samuel Alizon; Carsten Magnus
Journal:  Viruses       Date:  2012-10-04       Impact factor: 5.048

10.  Stochastic model of in-vivo X4 emergence during HIV infection: implications for the CCR5 inhibitor maraviroc.

Authors:  Borislav Savkovic; Geoff Symonds; John M Murray
Journal:  PLoS One       Date:  2012-07-17       Impact factor: 3.240

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