↓ Skip to main content

PLOS

Effect of 1918 PB1-F2 Expression on Influenza A Virus Infection Kinetics

Overview of attention for article published in PLoS Computational Biology, February 2011
Altmetric Badge

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
83 Mendeley
Title
Effect of 1918 PB1-F2 Expression on Influenza A Virus Infection Kinetics
Published in
PLoS Computational Biology, February 2011
DOI 10.1371/journal.pcbi.1001081
Pubmed ID
Authors

Amber M. Smith, Frederick R. Adler, Julie L. McAuley, Ryan N. Gutenkunst, Ruy M. Ribeiro, Jonathan A. McCullers, Alan S. Perelson

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 3 4%
United Kingdom 1 1%
Australia 1 1%
Unknown 75 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 35%
Student > Ph. D. Student 16 19%
Student > Master 8 10%
Student > Bachelor 5 6%
Professor 5 6%
Other 14 17%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 28%
Medicine and Dentistry 12 14%
Mathematics 10 12%
Biochemistry, Genetics and Molecular Biology 7 8%
Immunology and Microbiology 4 5%
Other 15 18%
Unknown 12 14%