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HIGHER LEVEL OF REPLICATION EFFICIENCY OF 2009 (H1N1) PANDEMIC INFLUENZA VIRUS THAN THOSE OF SEASONAL AND AVIAN STRAINS: KINETICS FROM EPITHELIAL CELL CULTURE AND COMPUTATIONAL MODELING.

Mitchell1, H., Levin2, D., Forrest2, S., Beauchemin3, C.A.A., Tipper1, J., Knight1, J., Donart1, N., Layton1, R.C., Pyles1, J., Gao1, P., Harrod1, K.S., Perelson4,A.S., and Koster1, F.  1Infectious  Disease Program, Lovelace Respiratory Research Institute, Albuquerque,  New Mexico 87108; 2Department of Computer Science, University of New Mexico, Albuquerque, New Mexico 87131; 3Department of Physics, Ryerson University, Toronto, Ontario M5B 2K3, Canada; and 4Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico 87545.
Abstract

The pathogenicity and transmission of influenza A viruses are likely determined in part by replication efficiency in human cells, which is the net effect of complex virus-host interactions. H5N1 avian, H1N1 seasonal, and H1N1 2009 pandemic influenza virus strains were compared by infecting human differentiated bronchial epithelial cells in air-liquid interface cultures at relatively low virus particle/cell ratios. Differential equation and computational models were used to characterize the in vitro kinetic behaviors of the three strains. The models were calibrated by fitting experimental data in order to estimate difficult-to-measure parameters. Both models found marked differences in the relative values of p, the virion production rate per cell, and R0, an index of the spread of infection through the monolayer, with the values for the strains in the following rank order (from greatest to least): pandemic strain, followed by seasonal strain, followed by avian strain, as expected. In the differential equation model, which treats virus and cell populations as well mixed, R0 and p varied proportionately for all 3 strains, consistent with a primary role for productivity. In the spatially explicit computational model, R0 and p also varied proportionately except that R0 derived for the pandemic strain was reduced, consistent with constrained viral spread imposed by multiple host defenses, including mucus and paracrine antiviral effects. This synergistic experimental-computational strategy provides relevant parameters for identifying and phenotyping potential pandemic strains.

Keywords

Acetylated tubulin, AIR-100, Apoptosis, Avian influenza A virus, Beating cilia, Caspase-3 apoptotic enzyme, Cell life span, Influenza virus, Invagination, Plaque assay, Viral output

Materials Tested

Influenza virus, Pronase

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