Wodarz1999 CTL memory response HIV
This a model from the article:
Specific therapy regimes could lead to long-term immunological control of HIV.
Wodarz D, Nowak MA. Proc Natl Acad Sci U S A
1999 Dec 7;96(25):14464-9 10588728
,
Abstract:
We use mathematical models to study the relationship between HIV and the immune
system during the natural course of infection and in the context of different
antiviral treatment regimes. The models suggest that an efficient cytotoxic T
lymphocyte (CTL) memory response is required to control the virus. We define CTL
memory as long-term persistence of CTL precursors in the absence of antigen.
Infection and depletion of CD4(+) T helper cells interfere with CTL memory
generation, resulting in persistent viral replication and disease progression.
We find that antiviral drug therapy during primary infection can enable the
development of CTL memory. In chronically infected patients, specific treatment
schedules, either including deliberate drug holidays or antigenic boosts of the
immune system, can lead to a re-establishment of CTL memory. Whether such
treatment regimes would lead to long-term immunologic control deserves
investigation under carefully controlled conditions.
This model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Wodarz D, Nowak MA. (1999) - version=1.0
The original CellML model was created by:
Catherine Lloyd
c.lloyd@auckland.ac.nz
The University of Auckland
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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
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Specific therapy regimes could lead to long-term immunological control of HIV.
- Wodarz D, Nowak MA
- Proceedings of the National Academy of Sciences of the United States of America , 12/ 1999 , Volume 96 , Issue 25 , pages: 14464-14469 , PubMed ID: 10588728
- Institute for Advanced Study, Olden Lane, Princeton, NJ 08540, USA. wodarz@ias.edu
- We use mathematical models to study the relationship between HIV and the immune system during the natural course of infection and in the context of different antiviral treatment regimes. The models suggest that an efficient cytotoxic T lymphocyte (CTL) memory response is required to control the virus. We define CTL memory as long-term persistence of CTL precursors in the absence of antigen. Infection and depletion of CD4(+) T helper cells interfere with CTL memory generation, resulting in persistent viral replication and disease progression. We find that antiviral drug therapy during primary infection can enable the development of CTL memory. In chronically infected patients, specific treatment schedules, either including deliberate drug holidays or antigenic boosts of the immune system, can lead to a re-establishment of CTL memory. Whether such treatment regimes would lead to long-term immunologic control deserves investigation under carefully controlled conditions.
Submitter of this revision: Krishna Kumar Tiwari
Modellers: administrator, Camille Laibe, Sarubini Kananathan, Krishna Kumar Tiwari
Metadata information
isDescribedBy (1 statement)
hasTaxon (1 statement)
isVersionOf (2 statements)
occursIn (1 statement)
Connected external resources
SBGN view in Newt Editor
| Name | Description | Size | Actions |
|---|---|---|---|
Model files |
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| MODEL1006230062.xml | SBML L2V4 representation of Wodarz1999 - Cytotoxic T lymphocyte memory response to HIV infection | 50.08 KB | Preview | Download |
Additional files |
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| BIOMD0000000683-biopax2.owl | Auto-generated BioPAX (Level 2) | 3.95 KB | Preview | Download |
| BIOMD0000000683-biopax3.owl | Auto-generated BioPAX (Level 3) | 4.33 KB | Preview | Download |
| BIOMD0000000683.m | Auto-generated Octave file | 3.99 KB | Preview | Download |
| BIOMD0000000683.pdf | Auto-generated PDF file | 140.39 KB | Preview | Download |
| BIOMD0000000683.png | Auto-generated Reaction graph (PNG) | 4.27 KB | Preview | Download |
| BIOMD0000000683.sci | Auto-generated Scilab file | 872.00 Bytes | Preview | Download |
| BIOMD0000000683.svg | Auto-generated Reaction graph (SVG) | 845.00 Bytes | Preview | Download |
| BIOMD0000000683.vcml | Auto-generated VCML file | 900.00 Bytes | Preview | Download |
| BIOMD0000000683.xpp | Auto-generated XPP file | 2.23 KB | Preview | Download |
| BIOMD0000000683_urn.xml | Auto-generated SBML file with URNs | 35.77 KB | Preview | Download |
| MODEL1006230062.cps | Curated and annotated COPASI file. | 46.28 KB | Preview | Download |
| MODEL1006230062.sedml | SED-ML file for figure 1.ii of the reference publication. | 2.21 KB | Preview | Download |
- Model originally submitted by : Camille Laibe
- Submitted: Jun 23, 2010 10:12:19 AM
- Last Modified: Aug 22, 2019 2:17:03 PM
Revisions
-
Version: 5
- Submitted on: Aug 22, 2019 2:17:03 PM
- Submitted by: Krishna Kumar Tiwari
- With comment: Automatically added model identifier BIOMD0000000683
-
Version: 3
- Submitted on: Mar 14, 2018 9:22:42 AM
- Submitted by: administrator
- With comment: Model name updated using online editor.
-
Version: 2
- Submitted on: Jun 25, 2010 2:23:24 PM
- Submitted by: Camille Laibe
- With comment: Current version of Wodarz1999_CTLmemoryresponse_HIV
-
Version: 1
- Submitted on: Jun 23, 2010 10:12:19 AM
- Submitted by: Camille Laibe
- With comment: Original import of Wodarz1999_CTLmemoryresponse_HIV
(*) You might be seeing discontinuous
revisions as only public revisions are displayed here. Any private revisions
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: Variable used inside SBML models
| Species | Initial Concentration/Amount |
|---|---|
| w cytotoxic T-lymphocyte ; precursor |
0.001 mol |
| x CD4-Positive T-Lymphocyte ; uninfected |
10.0 mol |
| y CD4-Positive T-Lymphocyte ; HIV infection |
0.1 mol |
| z effector T cell ; cytotoxic T-lymphocyte |
0.0 mol |
| Reactions | Rate | Parameters |
|---|---|---|
| w => z; y | COMpartment*c*q*y*w | q = 0.5; c = 0.1 |
| x => y; y | COMpartment*s*beta*x*y | s = 1.0; beta = 1.5 |
| y => ; z | COMpartment*p*y*z | p = 1.0 |
| => w; x, y | COMpartment*c*x*y*w | c = 0.1 |
| z => | COMpartment*h*z | h = 0.1 |
| w => | COMpartment*b*w | b = 0.01 |
| y => | COMpartment*a*y | a = 0.2 |
| x => | COMpartment*d*x | d = 0.1 |
| => x | COMpartment*lamda | lamda = 1.0 |
(added: 08 Mar 2018, 14:45:16, updated: 08 Mar 2018, 14:45:16)