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 AiM  Vol.5 No.2 , February 2015
A Simulation for Flavivirus Infection Decoy Responses
James K. Peterson1*, Alison M. Kesson2, Nicholas J. C. King3
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Abstract: In this work, we discuss the development of simulation code for a model of the cross-reactive adaptive immune response seen in flavivirus infections. The model specifically addresses flavivirus pathogen virulence in G0 vs G1 cell states. The MHC-I upregulation of resting cells (G0 state) allows the T-cells generated for flavivirus peptide antigens to attack healthy cells also. The cells in G1 state are not upregulated as much and so virus hides in them and hence is propagated upon rupture. Hence, this type of model is referred to as a decoy model because the immune system is decoyed into preferentially recognizing the upregulated cells while the virus actively propagates in another small, but important, cell population. We show that the generic assumption of upregulation via a model which includes the G0/G1 differential upregulation leads to immunopathological consequences. We outline the details behind the simulation code decisions and provide some theoretical justification for our model of collateral damage and upregulation.
Keywords: West Nile Virus, Decoy Model, MHC-I Upregulation, G0 vs G1 Cell State Upregulation Differences
Cite this paper: Peterson, J. , Kesson, A. and King, N. (2015) A Simulation for Flavivirus Infection Decoy Responses. Advances in Microbiology, 5, 123-142. doi: 10.4236/aim.2015.52013.
References

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[11]   Peterson, J.K., King, N.J.C. and Kesson, A.M. (2014) Modeling West Nile Virus One Host Infections. Technical Report, Clemson University, Clemson.
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[12]   Alon, U. (2006) An Introduction to Systems Biology: Design Principles of Biological Circuits. CRC Mathematical and Computational Biology, Chapman Hill.

[13]   King, N.J.C. and Kesson, A.M. (2003) Interaction of Flaviviruses with Cells of the Vertebrate Host and Decoy of the Immune Response. Immunology and Cell Biology, 81, 207-216.
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