<?xml version="1.0"?>
<!-- FILE : yates_model_2007.xml
CREATED : 10th December 2003
LAST MODIFIED : 10th December 2003
AUTHOR : Catherine Lloyd
Bioengineering Institute
The University of Auckland
MODEL STATUS : This model conforms to the CellML 1.1 Specification.
DESCRIPTION : This file contains a CellML description of Yates et al.'s 2007 mathematical model of the slow depletion of memory CD4+ T cells in HIV infection.
CHANGES:
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<title>Understanding the Slow Depletion of Memory CD4+ T Cells in HIV Infection</title>
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<firstname>Catherine</firstname>
<surname>Lloyd</surname>
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<shortaffil>Auckland Bioengineering Institute, The University of Auckland</shortaffil>
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<title>Model Status</title>
<para>
This CellML version of the model has been checked in COR and PCEnv. The units are consistent and the original source code was used to fix the CellML model such that it now runs to recreate the published results. The original paper contains three different mathematical models and this particular CellML model represents the third model of self-renewing memory CD4+ T cell homeostasis in the presence of HIV infection and includes both homeostatically activated, and antigen- or bystander-activated cells.
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<title>Model Structure</title>
<para>
ABSTRACT: BACKGROUND: The asymptomatic phase of HIV infection is characterised by a slow decline of peripheral blood CD4(+) T cells. Why this decline is slow is not understood. One potential explanation is that the low average rate of homeostatic proliferation or immune activation dictates the pace of a "runaway" decline of memory CD4(+) T cells, in which activation drives infection, higher viral loads, more recruitment of cells into an activated state, and further infection events. We explore this hypothesis using mathematical models. METHODS AND FINDINGS: Using simple mathematical models of the dynamics of T cell homeostasis and proliferation, we find that this mechanism fails to explain the time scale of CD4(+) memory T cell loss. Instead it predicts the rapid attainment of a stable set point, so other mechanisms must be invoked to explain the slow decline in CD4(+) cells. CONCLUSIONS: A runaway cycle in which elevated CD4(+) T cell activation and proliferation drive HIV production and vice versa cannot explain the pace of depletion during chronic HIV infection. We summarize some alternative mechanisms by which the CD4(+) memory T cell homeostatic set point might slowly diminish. While none are mutually exclusive, the phenomenon of viral rebound, in which interruption of antiretroviral therapy causes a rapid return to pretreatment viral load and T cell counts, supports the model of virus adaptation as a major force driving depletion.
</para>
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<caption>An extension of the model of memory CD4+ T cell dynamics in HIV infection to include both homeostatically activated (y) and antigen- or bystander-activated cells (w). Resting memory cells (x) can undergo homeostatic proliferation at a rate a they can be antigen- or bystander-activated at a rate a* and undergo fold expansion f in the process. These cells are infected with HIV at a rate pz, die at a rate gamma1, or return to resting memory state at a rate mu.</caption>
</informalfigure>
<para>
The original paper reference is cited below:
</para>
<para>
Understanding the slow depletion of memory CD4+ T cells in HIV infection, Andrew Yates, Jaroslav Stark, Nigel Klein, Rustom Antia, and Robin Callard, 2007, <emphasis>PLoS Medicine</emphasis>, volume 4, issue 5, 948-955. <ulink url="http://www.ncbi.nlm.nih.gov/pubmed/17518516">PubMed ID: 17518516</ulink></para>
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The units are consistent and the model runs to give the published results. 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Yates et al.'s 2007 mathematical model of the slow depletion of memory CD4+ T cells in HIV infection.
</title><cmeta:comment><rdf:Description rdf:about="rdf:#63cca711-79d2-432b-a082-d98bf315bf9f"/></cmeta:comment><reference xmlns="http://www.cellml.org/bqs/1.0#"><rdf:Description rdf:about="rdf:#18440d06-ff83-4001-9bdb-3c7a006a2560"/></reference><reference xmlns="http://www.cellml.org/bqs/1.0#"><rdf:Description rdf:about="rdf:#3ee51f97-984c-4a29-8ae7-e47ebdb93180"/></reference></rdf:Description><rdf:Description rdf:about="rdf:#4c56b438-6c10-467d-89e2-6faebc51b536"><Given xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">Catherine</Given><Family xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">Lloyd</Family><Other xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">May</Other></rdf:Description><rdf:Description rdf:about="rdf:#63cca711-79d2-432b-a082-d98bf315bf9f"><creator xmlns="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="rdf:#391af3b7-2a58-4ee8-8b26-54de228e89f7"/></creator><rdf:value xml:lang="en">This is a CellML description of Yates et al.'s 2007 mathematical model of the slow depletion of memory CD4+ T cells in HIV infection.</rdf:value></rdf:Description><rdf:Description rdf:about="rdf:#d846809b-07c5-4be6-a099-b176818104f3"><N xmlns="http://www.w3.org/2001/vcard-rdf/3.0#"><rdf:Description rdf:about="rdf:#4c56b438-6c10-467d-89e2-6faebc51b536"/></N><EMAIL xmlns="http://www.w3.org/2001/vcard-rdf/3.0#"><rdf:Description rdf:about="rdf:#0594d8fd-0b94-4929-aa79-2af82f275e61"/></EMAIL><ORG xmlns="http://www.w3.org/2001/vcard-rdf/3.0#"><rdf:Description rdf:about="rdf:#df895a13-9db1-415e-a89e-f1f07ce36bf5"/></ORG></rdf:Description><rdf:Description rdf:nodeID="n3"><boundIntervals xmlns="http://www.cellml.org/metadata/simulation/1.0#"><rdf:Description rdf:nodeID="n2"/></boundIntervals></rdf:Description><rdf:Description rdf:about="#z"><title xmlns="http://purl.org/dc/elements/1.1/" xml:lang="en">z</title><alternative xmlns="http://purl.org/dc/terms/" xml:lang="en">HIV-infected CD4+ T cells</alternative></rdf:Description><rdf:Description rdf:about="#w"><title xmlns="http://purl.org/dc/elements/1.1/" xml:lang="en">w</title><alternative xmlns="http://purl.org/dc/terms/" xml:lang="en">immune-activated CD4+ T cells</alternative></rdf:Description><rdf:Description rdf:about="rdf:#f3347758-d61f-4b9a-b33a-b690c6febe86"><FN xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">Catherine Lloyd</FN></rdf:Description><rdf:Description rdf:about="rdf:#df895a13-9db1-415e-a89e-f1f07ce36bf5"><Orgname xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">The University of Auckland</Orgname><Orgunit xmlns="http://www.w3.org/2001/vcard-rdf/3.0#" xml:lang="en">The Bioengineering Institute</Orgunit></rdf:Description></rdf:RDF></model>
