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Pandemic H1N1 influenza virus causes a stronger inflammatory response than seasonal H1N1 influenza virus in ferrets

Overview of attention for article published in Archives of Virology, January 2011
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Title
Pandemic H1N1 influenza virus causes a stronger inflammatory response than seasonal H1N1 influenza virus in ferrets
Published in
Archives of Virology, January 2011
DOI 10.1007/s00705-010-0914-7
Pubmed ID
Authors

Young Myong Kang, Byung Min Song, Joo Sub Lee, Hyun Soo Kim, Sang Heui Seo

Abstract

A 2009 H1N1 influenza virus pandemic, which had its origin in swine, caused severe illness and mortality in humans. Inflammatory responses may be responsible for pathogenesis caused by infection with influenza viruses. To better understand the pathogenic mechanism, clinical signs and inflammatory responses in ferrets infected with the pandemic H1N1 were compared with those caused by seasonal H1N1 influenza virus. Ferrets infected with the 2009 pandemic H1N1 virus displayed higher body temperatures, greater reduction in body weight, and higher viral titers in the tracheae and lungs. Levels of inflammatory cytokines, including interleukin-6, interferon-alpha, and tumor necrosis factor-alpha, were higher in the lungs of ferrets infected with the 2009 pandemic H1N1. The data support the idea that increased pathogenesis caused by the 2009 pandemic H1N1 influenza virus may have been partially mediated by a higher induction of pro-inflammatory cytokines in the lungs of affected humans or animals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Denmark 1 4%
China 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Master 4 17%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 9%
Other 1 4%
Other 4 17%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Immunology and Microbiology 4 17%
Environmental Science 2 9%
Mathematics 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Other 3 13%
Unknown 3 13%