- Author:
- Hanne <Hanne@hanne-nielsens-macbook.local>
- Date:
- 2009-12-14 13:29:50+13:00
- Desc:
- Added images in ai and svg format, removed non pub med reference
- Permanent Source URI:
- http://models.cellml.org/workspace/perelson_neumann_markowitz_leonard_ho_1996/rawfile/400cf19c3b41adfb891c28101e894701de402013/perelson_neumann_markowitz_leonard_ho_1996.cellml
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<!-- FILE : perelson_model_1996.xml
CREATED : 3rd December 2003
LAST MODIFIED : 3rd December 2003
AUTHOR : Catherine Lloyd
Bioengineering Institute
The University of Auckland
MODEL STATUS : This model conforms to the CellML 1.0 Specification released on
10th August 2001, and the 16/1/02 CellML Metadata 1.0 Specification.
DESCRIPTION : This file contains a CellML description of Perelson et al.'s 1996 mathematical model of HIV-1 dynamics in vivo.
CHANGES:
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<title>Modelling HIV-1 Dynamics In Vivo</title>
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HIV-1 replication <emphasis>in vivo</emphasis> occurs continuously at high rates. Experimental studies have shown that when a protease inhibitor is administered to infected individuals, plasma concentrations of HIV-1 decreased exponentially. This observed decrease was due to the clearance of free virions from the plasma, and also the loss of virus producing cells. To better understand the kinetics of these two processes, Perelson <emphasis>et al.</emphasis> monitored the viral load of five HIV-1-infected patients after the administration of a protease inhibitor and they tried to simulate these observations using a mathematical model of viral kinetics.
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<para>
A schematic representation of this mathematical model can be seen in the figure below. The authors assumed that HIV-1 infects target CD4<superscript>+</superscript> lymphocytes to become productively infected cells. After the protease inhibitor ritonavir was administered, there was an initial delay period before the exponential decline in plasma viral RNA occurred. The mathematical model was used to analyse the experimental data. Perelson <emphasis>et al.</emphasis> discovered that the rate of total HIV-1 production was surprisingly high at 10.3 * 10<superscript>9</superscript> virions per day. This, together with other findings, provided them with a clear image of HIV-1 pathogenesis, and also gave them the theoretical principles to guide the development of therapeutic treatment approaches.
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The complete original paper reference is cited below:
</para>
<para>
HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time, Alan S. Perelson, Avidan U. Neumann, Martin Markowitz, John M. Leonard, and David D. Ho, 1996, <emphasis>Science</emphasis>, 271, 1582-1586. <ulink url="http://www.ncbi.nlm.nih.gov/pubmed/8599114">PubMed ID: 8599114</ulink>
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Perelson et al.'s 1996 mathematical model of HIV-1 dynamics in vivo.
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HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell
Life-Span, and Viral Generation Time
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This is the CellML description of Perelson et al.'s 1996 mathematical
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The University of Auckland, Bioengineering Institute
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