Reynolds2006 - Reduced model of the acute inflammatory response

  public model
Model Identifier
BIOMD0000000714
Short description
Format
SBML (L2V4)
Related Publication
  • 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

Metadata information

is (2 statements)
BioModels Database BIOMD0000000714
BioModels Database MODEL1808280003

isDescribedBy (1 statement)
PubMed 16584750

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (3 statements)
Mathematical Modelling Ontology Ordinary differential equation model
Gene Ontology immune response
Gene Ontology acute inflammatory response


Curation status
Curated


Tags

Connected external resources

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Name Description Size Actions

Model files

HealthyOutcome.xml SBML L2V4 representation of Reynolds2006 - Reduced model of the acute inflammatory response 40.69 KB Preview | Download

Additional files

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 public model Download this version
    • Submitted on: Oct 17, 2018 10:41:54 AM
    • Submitted by: Sarubini Kananathan
    • With comment: Automatically added model identifier BIOMD0000000714
  • Version: 4 public model Download this version
    • Submitted on: Aug 28, 2018 10:09:27 AM
    • Submitted by: Sarubini Kananathan
    • With comment: Edited model metadata online.

(*) 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
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)
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.