Effect of 1918 PB1-F2 Expression on Influenza A Virus Infection Kinetics
Journal Article
·
· PLoS Computational Biology (Online)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics; DOE/OSTI
- Univ. of Utah, Salt Lake City, UT (United States). Depts. of Mathematics and Biology
- Univ. of Melbourne (Australia). Dept. of Immunology and Microbiology
- Univ. of Arizona, Tucson, AZ (United States). Dept. of Molecular and Cellular Biology
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics
- St. Jude Children’s Research Hospital, Memphis, TN (United States). Dept. of Infectious Diseases
Relatively little is known about the viral factors contributing to the lethality of the 1918 pandemic, although its unparalleled virulence was likely due in part to the newly discovered PB1-F2 protein. This protein, while unnecessary for replication, increases apoptosis in monocytes, alters viral polymerase activity in vitro, enhances inflammation and increases secondary pneumonia in vivo. However, the effects the PB1-F2 protein have in vivo remain unclear. To address the mechanisms involved, we intranasally infected groups of mice with either influenza A virus PR8 or a genetically engineered virus that expresses the 1918 PB1-F2 protein on a PR8 background, PR8-PB1-F2(1918). Mice inoculated with PR8 had viral concentrations peaking at 72 hours, while those infected with PR8-PB1-F2(1918) reached peak concentrations earlier, 48 hours. Mice given PR8-PB1-F2(1918) also showed a faster decline in viral loads. We fit a mathematical model to these data to estimate parameter values. The model supports a higher viral production rate per cell and a higher infected cell death rate with the PR8-PB1-F2(1918) virus. We discuss the implications these mechanisms have during an infection with a virus expressing a virulent PB1-F2 on the possibility of a pandemic and on the importance of antiviral treatments.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- National Institutes of Health (NIH); National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1627211
- Journal Information:
- PLoS Computational Biology (Online), Journal Name: PLoS Computational Biology (Online) Journal Issue: 2 Vol. 7; ISSN 1553-7358
- Publisher:
- Public Library of ScienceCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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