Literature DB >> 20970433

Neuraminidase inhibitors for treatment of human and avian strain influenza: A comparative modeling study.

Hana M Dobrovolny1, Ronald Gieschke, Brian E Davies, Nelson L Jumbe, Catherine A A Beauchemin.   

Abstract

Treatment of seasonal influenza viral infections using antivirals such as neuraminidase inhibitors (NAIs) has been proven effective if administered within 48h post-infection. However, there is growing evidence that antiviral treatment of infections with avian-derived strains even as late as 6 days post-infection (dpi) can significantly reduce infection severity and duration. Using a mathematical model of in-host influenza viral infections which can capture the kinetics of both a short-lived, typical, seasonal infection and a severe infection exhibiting sustained viral titer, we explore differences in the effects of NAI treatment on both types of influenza viral infections. Comparison of our model's behavior against experimental data from patients naturally infected with avian strains yields estimates for the times at which patients were infected that are consistent with those reported by the patients, and estimates of drug efficacies that are lower for patients who died than for those who recovered. In addition, our model suggests that the sustained, high, viral titers often seen in more severe influenza virus infections are the reason why antiviral treatment delayed by as much as 6 dpi will still lead to reduced viral titers and shortened illness. We conclude that NAIs may be an effective and beneficial treatment strategy against more severe strains of influenza virus characterized by high, sustained, viral titers. We believe that our mathematical model will be an effective tool in guiding treatment of severe influenza viral infections with antivirals.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20970433     DOI: 10.1016/j.jtbi.2010.10.017

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


  22 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.  A drug-disease model describing the effect of oseltamivir neuraminidase inhibition on influenza virus progression.

Authors:  Mohamed A Kamal; Ronald Gieschke; Annabelle Lemenuel-Diot; Catherine A A Beauchemin; Patrick F Smith; Craig R Rayner
Journal:  Antimicrob Agents Chemother       Date:  2015-06-22       Impact factor: 5.191

3.  Effects of influenza antivirals on individual and population immunity over many epidemic waves.

Authors:  K M Pepin; S Riley; B T Grenfell
Journal:  Epidemiol Infect       Date:  2012-03-30       Impact factor: 2.451

4.  A review of mathematical models of influenza A infections within a host or cell culture: lessons learned and challenges ahead.

Authors:  Catherine A A Beauchemin; Andreas Handel
Journal:  BMC Public Health       Date:  2011-02-25       Impact factor: 3.295

Review 5.  Modeling Influenza Virus Infection: A Roadmap for Influenza Research.

Authors:  Alessandro Boianelli; Van Kinh Nguyen; Thomas Ebensen; Kai Schulze; Esther Wilk; Niharika Sharma; Sabine Stegemann-Koniszewski; Dunja Bruder; Franklin R Toapanta; Carlos A Guzmán; Michael Meyer-Hermann; Esteban A Hernandez-Vargas
Journal:  Viruses       Date:  2015-10-12       Impact factor: 5.048

Review 6.  Quantification of viral infection dynamics in animal experiments.

Authors:  Shingo Iwami; Yoshiki Koizumi; Hiroki Ikeda; Yusuke Kakizoe
Journal:  Front Microbiol       Date:  2013-09-10       Impact factor: 5.640

7.  Dynamical characterization of antiviral effects in COVID-19.

Authors:  Pablo Abuin; Alejandro Anderson; Antonio Ferramosca; Esteban A Hernandez-Vargas; Alejandro H Gonzalez
Journal:  Annu Rev Control       Date:  2021-05-28       Impact factor: 6.091

8.  Reducing uncertainty in within-host parameter estimates of influenza infection by measuring both infectious and total viral load.

Authors:  Stephen M Petrie; Teagan Guarnaccia; Karen L Laurie; Aeron C Hurt; Jodie McVernon; James M McCaw
Journal:  PLoS One       Date:  2013-05-15       Impact factor: 3.240

9.  Assessing mathematical models of influenza infections using features of the immune response.

Authors:  Hana M Dobrovolny; Micaela B Reddy; Mohamed A Kamal; Craig R Rayner; Catherine A A Beauchemin
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

10.  Assessing Uncertainty in A2 Respiratory Syncytial Virus Viral Dynamics.

Authors:  Gilberto González-Parra; Hana M Dobrovolny
Journal:  Comput Math Methods Med       Date:  2015-09-14       Impact factor: 2.238

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