Reynolds2006 - Reduced model of the acute inflammatory response

Model Identifier
BIOMD0000000714
Short description
Format
SBML
(L2V4)
Related Publication
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A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation.
- Reynolds A, Rubin J, Clermont G, Day J, Vodovotz Y, Bard Ermentrout G
- Journal of theoretical biology , 9/ 2006 , Volume 242 , Issue 1 , pages: 220-236 , PubMed ID: 16584750
- Department of Mathematics, 301 Thackeray, University of Pittsburgh, Pittsburgh, PA 15260, USA.
- The acute inflammatory response, triggered by a variety of biological or physical stresses on an organism, is a delicate system of checks and balances that, although aimed at promoting healing and restoring homeostasis, can result in undesired and occasionally lethal physiological responses. In this work, we derive a reduced conceptual model for the acute inflammatory response to infection, built up from consideration of direct interactions of fundamental effectors. We harness this model to explore the importance of dynamic anti-inflammation in promoting resolution of infection and homeostasis. Further, we offer a clinical correlation between model predictions and potential therapeutic interventions based on modulation of immunity by anti-inflammatory agents.
Contributors
Submitter of the first revision: Sarubini Kananathan
Submitter of this revision: Sarubini Kananathan
Modellers: Sarubini Kananathan
Submitter of this revision: Sarubini Kananathan
Modellers: Sarubini Kananathan
Metadata information
is (2 statements)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (3 statements)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (3 statements)
Mathematical Modelling Ontology
Ordinary differential equation model
Gene Ontology immune response
Gene Ontology acute inflammatory response
Gene Ontology immune response
Gene Ontology acute inflammatory response
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
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Model files |
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HealthyOutcome.xml | SBML L2V4 representation of Reynolds2006 - Reduced model of the acute inflammatory response | 40.69 KB | Preview | Download |
Additional files |
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AsepticDeath.cps | Copasi file for Aseptic Death | 86.08 KB | Preview | Download |
HealthyOutcome.cps | Copasi file for Healthy Outcome | 86.10 KB | Preview | Download |
SepticDeath.cps | Copasi file for Septic Death | 86.19 KB | Preview | Download |
- Model originally submitted by : Sarubini Kananathan
- Submitted: Aug 28, 2018 10:09:27 AM
- Last Modified: Oct 17, 2018 10:41:54 AM
Revisions
-
Version: 6
- Submitted on: Oct 17, 2018 10:41:54 AM
- Submitted by: Sarubini Kananathan
- With comment: Automatically added model identifier BIOMD0000000714
-
Version: 4
- Submitted on: Aug 28, 2018 10:09:27 AM
- Submitted by: Sarubini Kananathan
- With comment: Edited model metadata online.
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Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
P EFO:0000643 |
1.0 mol |
C A anti-inflammatory agent ; Anti-inflammatory |
0.125 mol |
Nstar phagocyte |
0.0 mol |
D Tissue Damage |
0.0 mol |
Reactions
Reactions | Rate | Parameters |
---|---|---|
P => | compartment*k_pn*f_Nstar*P | k_pn = 1.8; f_Nstar = 0.0 |
=> C_A | compartment*s_c | s_c = 0.0125 |
C_A => | compartment*mu_c*C_A | mu_c = 0.1 |
Nstar => | compartment*mu_n*Nstar | mu_n = 0.05 |
=> P | compartment*k_pg*P*(1-P/p_inf) | p_inf = 20.0; k_pg = 0.3 |
D => | compartment*mu_d*D | mu_d = 0.02 |
=> Nstar | compartment*s_nr*R/(mu_nr+R) | mu_nr = 0.12; R = 0.0833820792342462; s_nr = 0.08 |
=> D | compartment*k_dn*f_s_f_Nstar | k_dn = 0.35; f_s_f_Nstar = 0.0 |
Curator's comment:
(added: 17 Oct 2018, 10:33:16, updated: 17 Oct 2018, 10:33:16)
(added: 17 Oct 2018, 10:33:16, updated: 17 Oct 2018, 10:33:16)
Figure 5 of the reference publication has been reproduced. Model file shows the healthy outcome (a) of the acute inflammatory response model. Initial conditions were taken from the publication. The model was simulated using Copasi 4.22 and the figure was generated using Python 2.7.