LAPSE:2019.0448
Published Article
LAPSE:2019.0448
A Systems and Treatment Perspective of Models of Influenza Virus-Induced Host Responses
April 8, 2019
Severe influenza infections are often characterized as having unique host responses (e.g., early, severe hypercytokinemia). Neuraminidase inhibitors can be effective in controlling the severe symptoms of influenza but are often not administered until late in the infection. Several studies suggest that immune modulation may offer protection to high risk groups. Here, we review the current state of mathematical models of influenza-induced host responses. Selecting three models with conserved immune response components, we determine if the immune system components which most affect virus replication when perturbed are conserved across the models. We also test each model’s response to a pre-induction of interferon before the virus is administered. We find that each model emphasizes the importance of controlling the infected cell population to control viral replication. Moreover, our work shows that the structure of current models does not allow for significant responses to increased interferon concentrations. These results suggest that the current library of available published models of influenza infection does not adequately represent the complex interactions of the virus, interferon, and other aspects of the immune response. Specifically, the method used to model virus-resistant cells may need to be adapted in future work to more realistically represent the immune response to viral infection.
Record ID
Keywords
influenza A virus, interferon pre-stimulation, mathematical modeling, sensitivity analysis, systems biology
Subject
Suggested Citation
Mochan E, Ackerman EE, Shoemaker JE. A Systems and Treatment Perspective of Models of Influenza Virus-Induced Host Responses. (2019). LAPSE:2019.0448
Author Affiliations
Mochan E: Department of Mathematics, Carlow University, Pittsburgh, PA 15213, USA; Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
Ackerman EE: Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
Shoemaker JE: Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA; McGowan Institute, University of Pittsburgh, Pittsbu
[Login] to see author email addresses.
Ackerman EE: Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA
Shoemaker JE: Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA; McGowan Institute, University of Pittsburgh, Pittsbu
[Login] to see author email addresses.
Journal Name
Processes
Volume
6
Issue
9
Article Number
E138
Year
2018
Publication Date
2018-08-23
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr6090138, Publication Type: Review
Record Map
Published Article
LAPSE:2019.0448
This Record
External Link
doi:10.3390/pr6090138
Publisher Version
Download
Meta
Record Statistics
Record Views
502
Version History
[v1] (Original Submission)
Apr 8, 2019
Verified by curator on
Apr 8, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0448
Original Submitter
Calvin Tsay
Links to Related Works