Literature DB >> 20370636

Modeling the viral dynamics of influenza A virus infection.

Amber M Smith1, Ruy M Ribeiro.   

Abstract

Influenza virus causes an acute, mostly self-limited, infection of the upper respiratory tract. Yearly epidemics of influenza infect up to 20% of the population, and in the US cause an average of 36,000 deaths every year. Because influenza is a short-term infection lasting 4 to 7 d in most cases, studying the dynamics of the virus and the immune response in vivo is difficult. Here we review the most recent attempts at mathematical modeling of influenza dynamics within the host to better understand the kinetics of the virus and associated immune responses. These models have been developed based on very successful kinetic studies of chronic infections, such as human immunodeficiency and hepatitis C viruses. We briefly review the approach taken for these infections before discussing the results obtained in the case of influenza. The dynamics of the latter have been studied both in vitro and in vivo. It was shown that the virus turnover is very fast, which helps to explain the accumulation of diversity. Moreover, initial attempts have been made at modeling the immune response to influenza, but these are still incipient and further studies, both experimental and theoretical, are needed to better elucidate the interplay of the virus and the immune response.

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Year:  2010        PMID: 20370636     DOI: 10.1615/critrevimmunol.v30.i3.60

Source DB:  PubMed          Journal:  Crit Rev Immunol        ISSN: 1040-8401            Impact factor:   2.214


  31 in total

1.  On the extinction probability in models of within-host infection: the role of latency and immunity.

Authors:  Ada W C Yan; Pengxing Cao; James M McCaw
Journal:  J Math Biol       Date:  2016-01-09       Impact factor: 2.259

2.  The inflammatory response to influenza A virus (H1N1): An experimental and mathematical study.

Authors:  Ian Price; Ericka D Mochan-Keef; David Swigon; G Bard Ermentrout; Sarah Lukens; Franklin R Toapanta; Ted M Ross; Gilles Clermont
Journal:  J Theor Biol       Date:  2015-04-03       Impact factor: 2.691

Review 3.  Secondary bacterial infections in influenza virus infection pathogenesis.

Authors:  Amber M Smith; Jonathan A McCullers
Journal:  Curr Top Microbiol Immunol       Date:  2014       Impact factor: 4.291

4.  Improving risk assessment of the emergence of novel influenza A viruses by incorporating environmental surveillance.

Authors:  Kim M Pepin; Matthew W Hopken; Susan A Shriner; Erica Spackman; Zaid Abdo; Colin Parrish; Steven Riley; James O Lloyd-Smith; Antoinette J Piaggio
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-08-12       Impact factor: 6.237

Review 5.  Influenza A virus infection kinetics: quantitative data and models.

Authors:  Amber M Smith; Alan S Perelson
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

6.  Towards multiscale modeling of influenza infection.

Authors:  Lisa N Murillo; Michael S Murillo; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-04-19       Impact factor: 2.691

7.  Connecting within and between-hosts dynamics in the influenza infection-staged epidemiological models with behavior change.

Authors:  Kasia A Pawelek; Cristian Salmeron; Sara Del Valle
Journal:  J Coupled Syst Multiscale Dyn       Date:  2015-09

Review 8.  Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics.

Authors:  Alan S Perelson; Ruian Ke
Journal:  Clin Pharmacol Ther       Date:  2021-03-08       Impact factor: 6.875

9.  Modeling within-host dynamics of influenza virus infection including immune responses.

Authors:  Kasia A Pawelek; Giao T Huynh; Michelle Quinlivan; Ann Cullinane; Libin Rong; Alan S Perelson
Journal:  PLoS Comput Biol       Date:  2012-06-28       Impact factor: 4.475

10.  Identification of swine influenza A virus and Stenotrophomonas maltophilia co-infection in Chinese pigs.

Authors:  Dongjun Hou; Yuhai Bi; Honglei Sun; Jun Yang; Guanghua Fu; Yipeng Sun; Jinhua Liu; Juan Pu
Journal:  Virol J       Date:  2012-08-22       Impact factor: 4.099

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