Hernandez-Vargas2012 - Innate immune system dynamics to Influenza virus

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Model Identifier
BIOMD0000000710
Short description
Format
SBML (L2V4)
Related Publication
  • Innate Immune System Dynamics to Influenza Virus
  • A. Esteban Hernandez-Vargas, Michael Meyer-Hermann
  • Elsevier BV , 8/ 2012 , Volume 45 , Issue 18 , pages: 260-265 , DOI: 10.3182/20120829-3-hu-2029.00029
  • Systems Immunology Department, Helmholtz-Zentrum für Infektionsforschung, Inhoffenstraβe 7, D-38124, Braunschweig, Germany Bio Center for Life Sciences, University of Technology Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany
  • The understanding of how influenza virus infection activates the immune system is crucial to designing prophylactic and therapeutic strategies against the infection. Nevertheless, the immune response to influenza virus infection is complex and remains largely unknown. In this paper we focus in the innate immune response to influenza virus using a mathematical model, based on interferon-induced resistance to infection of respiratory epithelial cells and the clearance of infected cells by natural killers. Simulation results show the importance of IFN-I to prevent new infections in epithelial cells and to stop the viral explosion during the first two days after infection. Nevertheless, natural killers response might be the most relevant for the first depletion in viral load due to the elimination of infected cells. Based on the reproductive number, the innate immune response is important to control the infection, although it would not be enough to clear completely the virus. The effective coordination between innate and adaptive immune response is essential for the virus eradication.
Contributors
Submitter of the first revision: Sarubini Kananathan
Submitter of this revision: Sarubini Kananathan
Modellers: Sarubini Kananathan

Metadata information

is (2 statements)
BioModels Database BIOMD0000000710
BioModels Database MODEL1808280005

hasTaxon (2 statements)
Taxonomy Homo sapiens
Taxonomy Influenza A virus

isDescribedBy (1 statement)
hasProperty (3 statements)
Mathematical Modelling Ontology Ordinary differential equation model
Experimental Factor Ontology influenza infection
Pathway Ontology innate immune response pathway

Curation status
Curated
Modelling approach(es)
ordinary differential equation model
Tags

Connected external resources

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Name Description Size Actions

Model files
Hernandez-Vargas2012 - Innate immune system dynamics to Influenza virus.xml SBML L2V4 representation of Hernandez-Vargas2012 - Innate immune system dynamics to Influenza virus 59.66 KB Preview | Download

Additional files
Innate Immune System Dynamics to Influenza Virus.cps Copasi file for the model 76.62 KB Preview | Download

  • Model originally submitted by : Sarubini Kananathan
  • Submitted: Aug 28, 2018 11:57:55 AM
  • Last Modified: Oct 8, 2018 2:28:43 PM
Revisions
  • Version: 9 public model Download this version
    • Submitted on: Oct 8, 2018 2:28:43 PM
    • Submitted by: Sarubini Kananathan
    • With comment: Automatically added model identifier BIOMD0000000710
  • Version: 6 public model Download this version
    • Submitted on: Oct 8, 2018 2:13:31 PM
    • Submitted by: Sarubini Kananathan
    • With comment: Automatically added model identifier BIOMD0000000710
  • Version: 4 public model Download this version
    • Submitted on: Aug 28, 2018 11:57:55 AM
    • Submitted by: Sarubini Kananathan
    • With comment: Edited model metadata online.

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Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
U R

epithelial cell ; decreased susceptibility to viral infection 		0.0 mol
U E

infected cell ; epithelial cell 		0.0 mol
U H

epithelial cell 		5.0E8 mol
K

natural killer cell 		800000.0 mol
U I

infected cell ; epithelial cell 		0.0 mol
IFN

Interferon alpha-1/13 ; Interferon beta 		0.0 mol
Reactions
Reactions Rate Parameters
U_H => U_R; IFN compartment*k_R*U_H*IFN k_R = 7.0
U_E => ; K compartment*q_K*U_E*K q_K = 3.0E-6
U_H => U_E; V compartment*k_I*U_H*V k_I = 0.003
U_H => compartment*delta_H*U_H delta_H = 0.01
=> K; U_I compartment*phi_K*U_I phi_K = 0.001
=> K compartment*S_K S_K = 32000.0
=> U_H compartment*S_H S_H = 5000000.0
U_I => ; K compartment*q_K*U_I*K q_K = 3.0E-6
IFN => compartment*delta_IFN*IFN delta_IFN = 4.0
Curator's comment:
(added: 08 Oct 2018, 14:11:27, updated: 08 Oct 2018, 14:11:27)
Figure 2a of the reference publication has been reproduced. Time course simulation of Epithelial cells. Initial conditions were taken from the publication. The model was simulated using Copasi 4.22 and the figure was generated using Python 2.7.