Literature DB >> 26188087

Quantifying relative within-host replication fitness in influenza virus competition experiments.

Stephen M Petrie1, Jeff Butler2, Ian G Barr3, Jodie McVernon4, Aeron C Hurt3, James M McCaw5.   

Abstract

Through accumulation of genetic mutations in the neuraminidase gene, the influenza virus can become resistant to antiviral drugs such as oseltamivir. Quantifying the fitness of emergent drug-resistant influenza viruses, relative to contemporary circulating viruses, provides valuable information to complement existing efforts in the surveillance of drug-resistance. We have previously developed a co-infection based method for the assessment of the relative in vivo fitness of two competing viruses. We have also introduced a model of within-host co-infection dynamics that enables relative within-host fitness to be quantified in these competitive-mixtures experiments. The model assumed that fitness differences between co-infecting strains were mediated by strain-dependent viral production rates from infected epithelial cells. Here we extend the model to enable a more complete exploration of biological processes that may differ between virus pairs and hence generate fitness differences. We use the extended model to re-analyse data from competitive-mixtures experiments that investigated the fitness of oseltamivir-resistant (OR) H1N1 pandemic 2009 ("H1N1pdm09") viruses that emerged during a community outbreak in Australia in 2011. Results are consistent with those of our previous analysis, suggesting that the within-host replication fitness of these OR viruses is not compromised relative to that of related oseltamivir-susceptible (OS) strains, and that potentially permissive mutations in the neuraminidase gene (V241I and N369K) significantly enhance the fitness of H1N1pdm09 OR viruses. These results are consistent regardless of the hypothesised biological cause of fitness difference.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug-resistance; Influenza; Mathematical model; Pathogen fitness; Viral kinetics

Mesh:

Substances:

Year:  2015        PMID: 26188087     DOI: 10.1016/j.jtbi.2015.07.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Data-driven interdisciplinary mathematical modelling quantitatively unveils competition dynamics of co-circulating influenza strains.

Authors:  Bin-Shenq Ho; Kun-Mao Chao
Journal:  J Transl Med       Date:  2017-07-28       Impact factor: 5.531

2.  Modelling the emergence of influenza drug resistance: The roles of surface proteins, the immune response and antiviral mechanisms.

Authors:  Hana M Dobrovolny; Catherine A A Beauchemin
Journal:  PLoS One       Date:  2017-07-10       Impact factor: 3.240

Review 3.  Drug resistance in influenza A virus: the epidemiology and management.

Authors:  Mazhar Hussain; Henry D Galvin; Tatt Y Haw; Ashley N Nutsford; Matloob Husain
Journal:  Infect Drug Resist       Date:  2017-04-20       Impact factor: 4.003

4.  Sequential infection experiments for quantifying innate and adaptive immunity during influenza infection.

Authors:  Ada W C Yan; Sophie G Zaloumis; Julie A Simpson; James M McCaw
Journal:  PLoS Comput Biol       Date:  2019-01-17       Impact factor: 4.475

5.  Superinfection and cell regeneration can lead to chronic viral coinfections.

Authors:  Lubna Pinky; Gilberto González-Parra; Hana M Dobrovolny
Journal:  J Theor Biol       Date:  2019-01-11       Impact factor: 2.691

6.  Heterogeneity of Rift Valley fever virus transmission potential across livestock hosts, quantified through a model-based analysis of host viral load and vector infection.

Authors:  Hélène Cecilia; Roosmarie Vriens; Paul J Wichgers Schreur; Mariken M de Wit; Raphaëlle Métras; Pauline Ezanno; Quirine A Ten Bosch
Journal:  PLoS Comput Biol       Date:  2022-07-22       Impact factor: 4.779

7.  Coinfections of the Respiratory Tract: Viral Competition for Resources.

Authors:  Lubna Pinky; Hana M Dobrovolny
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

8.  Characterization of Influenza B Virus Variants with Reduced Neuraminidase Inhibitor Susceptibility.

Authors:  R Farrukee; A E Zarebski; J M McCaw; J D Bloom; P C Reading; A C Hurt
Journal:  Antimicrob Agents Chemother       Date:  2018-10-24       Impact factor: 5.191

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.