Wodarz2007 - HIV/CD4 T-cell interaction
This model is described in the article:
Abstract:
Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug therapy. In addition, the initial number of HIV-specific CD4 T cells is an important determinant of acute infection dynamics. A high initial number of HIV-specific CD4 T cells can lead to a sudden and fast drop of the population of HIV-specific CD4 T cells which results quickly in their extinction. On the other hand, a low initial number of HIV-specific CD4 T cells can lead to a prolonged persistence of HIV-specific CD4 T cell help at higher levels. The model suggests that boosting the population of HIV-specific CD4 T cells can increase the amount of virus-induced immune impairment, lead to less efficient anti-viral effector responses, and thus speed up disease progression, especially if effector responses such as CTL have not been sufficiently boosted at the same time.
This model is hosted on BioModels Database and identified by: BIOMD0000000663.
To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
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Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus?
- Wodarz D, Hamer DH
- Mathematical biosciences , 9/ 2007 , Volume 209 , Issue 1 , pages: 14-29 , PubMed ID: 17379260
- Department of Ecology and Evolutionary Biology, 321 Steinhaus Hall, University of California, Irvine, CA 92697, USA. dwodarz@uci.edu
- Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug therapy. In addition, the initial number of HIV-specific CD4 T cells is an important determinant of acute infection dynamics. A high initial number of HIV-specific CD4 T cells can lead to a sudden and fast drop of the population of HIV-specific CD4 T cells which results quickly in their extinction. On the other hand, a low initial number of HIV-specific CD4 T cells can lead to a prolonged persistence of HIV-specific CD4 T cell help at higher levels. The model suggests that boosting the population of HIV-specific CD4 T cells can increase the amount of virus-induced immune impairment, lead to less efficient anti-viral effector responses, and thus speed up disease progression, especially if effector responses such as CTL have not been sufficiently boosted at the same time.
Submitter of this revision: administrator
Modellers: administrator, Vijayalakshmi Chelliah
Metadata information
isDescribedBy (1 statement)
hasTaxon (2 statements)
isVersionOf (2 statements)
occursIn (1 statement)
Connected external resources
SBGN view in Newt Editor
| Name | Description | Size | Actions |
|---|---|---|---|
Model files |
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| BIOMD0000000663_url.xml | SBML L2V4 representation of Wodarz2007 - HIV/CD4 T-cell interaction | 45.32 KB | Preview | Download |
Additional files |
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| BIOMD0000000663-biopax2.owl | Auto-generated BioPAX (Level 2) | 12.45 KB | Preview | Download |
| BIOMD0000000663-biopax3.owl | Auto-generated BioPAX (Level 3) | 17.66 KB | Preview | Download |
| BIOMD0000000663.m | Auto-generated Octave file | 4.90 KB | Preview | Download |
| BIOMD0000000663.pdf | Auto-generated PDF file | 152.11 KB | Preview | Download |
| BIOMD0000000663.png | Auto-generated Reaction graph (PNG) | 61.70 KB | Preview | Download |
| BIOMD0000000663.sci | Auto-generated Scilab file | 154.00 Bytes | Preview | Download |
| BIOMD0000000663.svg | Auto-generated Reaction graph (SVG) | 18.65 KB | Preview | Download |
| BIOMD0000000663.vcml | Auto-generated VCML file | 910.00 Bytes | Preview | Download |
| BIOMD0000000663.xpp | Auto-generated XPP file | 3.10 KB | Preview | Download |
| BIOMD0000000663_urn.xml | Auto-generated SBML file with URNs | 43.56 KB | Preview | Download |
| Wodarz2007_model_2.cps | COPASI file for reference publication | 65.83 KB | Preview | Download |
| Wodarz2007_model_2.sedml | SED-ML file for reference publication for figure 1 (ii) | 2.68 KB | Preview | Download |
- Model originally submitted by : Vijayalakshmi Chelliah
- Submitted: Nov 27, 2009 1:24:28 PM
- Last Modified: Jan 23, 2018 4:26:43 PM
Revisions
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Version: 3
- Submitted on: Jan 23, 2018 4:26:43 PM
- Submitted by: administrator
- With comment: Curated and annotated model xml file
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Version: 2
- Submitted on: Nov 27, 2009 1:25:32 PM
- Submitted by: Vijayalakshmi Chelliah
- With comment: Current version of Wodarz2007_CD4TcellsInfection_VirusSpread
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Version: 1
- Submitted on: Nov 27, 2009 1:24:28 PM
- Submitted by: Vijayalakshmi Chelliah
- With comment: Original import of Wodarz2007_CD4TcellsInfection_VirusSpread
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: Variable used inside SBML models
| Species | Initial Concentration/Amount |
|---|---|
| x Human Immunodeficiency Virus ; infected cell ; T-lymphocyte |
0.1 mmol |
| y T-lymphocyte |
0.0 mmol |
| v Human Immunodeficiency Virus |
1.0 mmol |
| Reactions | Rate | Parameters |
|---|---|---|
| x => ; v, y | compartment*r*x*v*(x+y)/k | r = 1.0; k = 10.0 |
| x => y; v | compartment*Beta*v*x | Beta = 0.2 |
| y => ; v, x | compartment*r*y*v*(x+y)/k | r = 1.0; k = 10.0 |
| y => | compartment*a*y | a = 0.2 |
| => x; v | compartment*r*v*x | r = 1.0 |
| x => | compartment*d*x | d = 0.1 |
| => y; v | compartment*r*v*y | r = 1.0 |
| => v; y | compartment*eta*y | eta = 1.0 |
| v => | compartment*u*v | u = 0.5 |
(added: 23 Jan 2018, 13:23:35, updated: 23 Jan 2018, 13:23:35)