Spatio-temporal dynamics of Host-Virus competition: A model study of influenza A.
Agent-based modeling
Epithelial cells
Innate immune system
Modeling flu
Multiplicity of infection
Stochastic modeling
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
07 01 2020
07 01 2020
Historique:
received:
16
05
2019
revised:
16
09
2019
accepted:
26
09
2019
pubmed:
2
10
2019
medline:
22
6
2021
entrez:
2
10
2019
Statut:
ppublish
Résumé
We present results of a study of the early-time response of the innate immune system to influenza virus infection in an agent-based model (ABM) of epithelial cell layers. We find that the competition between the anti-viral immune response and viral antagonism can lead to viral titers non-monotonic in the initial infection fraction as found in experiments. Our model includes a coarse-grained version of intra-cellular processes and inter-cellular communication via cytokine and virion diffusion. We use ABM to follow the propagation of viral infection in the layer and the increase of the viral load as a function of time for different values of the multiplicity of infection (MOI), the initial number of viruses added per cell. We find that for moderately strong host immune response, the number of infected cells and viral load for a smaller MOI exceeds that for larger MOI, as seen in experiments. We elucidate the mechanism underlying this result as the synergistic action of cytokines secreted by infected cells in controlling viral amplification for larger MOI. We investigate the length and time scales that determine this non-monotonic behavior within the ABM. We study the diffusive spread of virions and cytokines from a single infected cell in an absorbing medium analytically and numerically and deduce the length scale that yields a good estimate of the MOI at which we find non-monotonicity. Detailed computations of the temporal behavior of averaged quantities and spatial measures provide further insights into host-viral interactions and connections to experimental observations.
Identifiants
pubmed: 31574283
pii: S0022-5193(19)30396-0
doi: 10.1016/j.jtbi.2019.110026
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
110026Subventions
Organisme : NIAID NIH HHS
ID : U19 AI117873
Pays : United States
Informations de copyright
Copyright © 2019. Published by Elsevier Ltd.