Wodarz1999 CTL memory response HIV

  public model
Model Identifier
BIOMD0000000683
Short description

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

This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
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.

In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..

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.

Format
SBML (L2V4)
Related Publication
  • 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.
Contributors
Submitter of the first revision: Camille Laibe
Submitter of this revision: Krishna Kumar Tiwari
Modellers: administrator, Camille Laibe, Sarubini Kananathan, Krishna Kumar Tiwari

Metadata information

is (2 statements)
BioModels Database MODEL1006230062
BioModels Database BIOMD0000000683

isDescribedBy (1 statement)
PubMed 10588728

hasTaxon (1 statement)
Taxonomy Homo sapiens

isVersionOf (2 statements)
Experimental Factor Ontology HIV infection
Gene Ontology viral entry into host cell

occursIn (1 statement)
Brenda Tissue Ontology helper T-lymphocyte


Curation status
Curated

Tags

Connected external resources

SBGN view in Newt Editor

Name Description Size Actions

Model files

MODEL1006230062.xml SBML L2V4 representation of Wodarz1999 - Cytotoxic T lymphocyte memory response to HIV infection 50.08 KB Preview | Download

Additional files

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 public model Download this version
    • Submitted on: Aug 22, 2019 2:17:03 PM
    • Submitted by: Krishna Kumar Tiwari
    • With comment: Automatically added model identifier BIOMD0000000683
  • Version: 3 public model Download this version
    • Submitted on: Mar 14, 2018 9:22:42 AM
    • Submitted by: administrator
    • With comment: Model name updated using online editor.
  • Version: 2 public model Download this version
    • Submitted on: Jun 25, 2010 2:23:24 PM
    • Submitted by: Camille Laibe
    • With comment: Current version of Wodarz1999_CTLmemoryresponse_HIV
  • Version: 1 public model Download this version
    • 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 unpublished model revision of this model will only be shown to the submitter and their collaborators.

Legends
: Variable used inside SBML models


Species
Reactions
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
Curator's comment:
(added: 08 Mar 2018, 14:45:16, updated: 08 Mar 2018, 14:45:16)
The curated model, with beta = 1.5 (as opposed to 0.5) and drug treatment initiated at t=1 (approximately unchanged) and ceased at t=15 (as opposed to approximately t=30), produces a similar simulation result as that of figure 1.ii of the reference publication. The figure shows the log-values of infected CD4+ T cells (red curve corresponding to left red axis) and cytotoxic T lymphocyte precursor cells (blue curve corresponding to right blue axis) over 200 days. Drug treatment was simulated by changing the value of s from 1 to 0.0042 for 1 < t < 15. The simulation was performed in COPASI 4.22 (Build 170) and the figure was generated in MATLAB R2014b.