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Using a Collateral Damage Model to Explain Survival Data in West Nile Virus Infections
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作者 James K. Peterson Alison M. Kesson Nicholas J. C. King 《Advances in Microbiology》 2016年第4期251-262,共12页
Simulation code for a model of the adaptive immune response seen in flavivirus infections is used to explain the immunopathological consequences seen in West Nile Virus virus (WNV) infections. We use a model that spec... Simulation code for a model of the adaptive immune response seen in flavivirus infections is used to explain the immunopathological consequences seen in West Nile Virus virus (WNV) infections. We use a model that specifically handles the differences in how the virus infects resting cells, the G0 state, versus dividing cells, the G1 state, which includes vastly increased MHC-I upregulation for resting cells over dividing cells. The simulation suggests how the infection progresses in a one host model and the results shed insight into the unusual survival curve data obtained for this infection: there is an increase in health even though viral load has increased. 展开更多
关键词 auto Immune Responses West Nile Virus Host Survival Models MHC-I Upregulation IFN-γ Upregulation Free Antigen Levels
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