Literature DB >> 24614233

Within-host influenza dynamics: a small-scale mathematical modeling approach.

Himanshu Manchanda1, Nora Seidel2, Andi Krumbholz3, Andreas Sauerbrei2, Michaela Schmidtke2, Reinhard Guthke4.   

Abstract

The emergence of new influenza viruses like the pandemic H1N1 influenza A virus in 2009 (A(H1N1)pdm09) with unpredictable difficulties in vaccine coverage and established antiviral treatment protocols emphasizes the need of new murine models to prove the activity of novel antiviral compounds in vivo. The aim of the present study was to develop a small-scale mathematical model based on easily attainable experimental data to explain differences in influenza kinetics induced by different virus strains in mice. To develop a three-dimensional ordinary differential equation model of influenza dynamics, the following variables were included: (i) viral pathogenicity (P), (ii) antiviral immune defense (D), and (iii) inflammation due to pro-inflammatory response (I). Influenza virus-induced symptoms (clinical score S) in mice provided the basis for calculations of P and I. Both, mono- and biphasic course of mild to severe influenza induced by three clinical A(H1N1)pdm09 strains and one European swine H1N2 virus were comparatively and quantitatively studied by fitting the mathematical model to the experimental data. The model hypothesizes reasons for mild and severe influenza with mono- as well as biphasic course of disease. According to modeling results, the second peak of the biphasic course of infection is caused by inflammation. The parameters (i) maximum primary pathogenicity, (ii) viral infection rate, and (iii) rate of activation of the immune system represent most important parameters that quantitatively characterize the different pattern of virus-specific influenza kinetics.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Immune response; Infection; Inflammation; Influenza virus; Modeling; Virus replication

Mesh:

Year:  2014        PMID: 24614233     DOI: 10.1016/j.biosystems.2014.02.004

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  12 in total

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2.  Differential Biphasic Transcriptional Host Response Associated with Coevolution of Hemagglutinin Quasispecies of Influenza A Virus.

Authors:  Himanshu Manchanda; Nora Seidel; Markus F Blaess; Ralf A Claus; Joerg Linde; Hortense Slevogt; Andreas Sauerbrei; Reinhard Guthke; Michaela Schmidtke
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3.  Predictive accuracy of particle filtering in dynamic models supporting outbreak projections.

Authors:  Anahita Safarishahrbijari; Aydin Teyhouee; Cheryl Waldner; Juxin Liu; Nathaniel D Osgood
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Review 4.  Immune responses in influenza A virus and human coronavirus infections: an ongoing battle between the virus and host.

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Journal:  Curr Opin Virol       Date:  2017-11-21       Impact factor: 7.090

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Journal:  Microorganisms       Date:  2020-04-16

Review 6.  Host-pathogen kinetics during influenza infection and coinfection: insights from predictive modeling.

Authors:  Amber M Smith
Journal:  Immunol Rev       Date:  2018-09       Impact factor: 12.988

7.  Inhibition of Phosphatidylinositol 3-Kinase by Pictilisib Blocks Influenza Virus Propagation in Cells and in Lungs of Infected Mice.

Authors:  Stefanie Deinhardt-Emmer; Laura Jäckel; Clio Häring; Sarah Böttcher; Janine J Wilden; Brigitte Glück; Regine Heller; Michaela Schmidtke; Mirijam Koch; Bettina Löffler; Stephan Ludwig; Christina Ehrhardt
Journal:  Biomolecules       Date:  2021-05-29

8.  Hemagglutinin 222D/G polymorphism facilitates fast intra-host evolution of pandemic (H1N1) 2009 influenza A viruses.

Authors:  Nora Seidel; Andreas Sauerbrei; Peter Wutzler; Michaela Schmidtke
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

Review 9.  A review on computational systems biology of pathogen-host interactions.

Authors:  Saliha Durmuş; Tunahan Çakır; Arzucan Özgür; Reinhard Guthke
Journal:  Front Microbiol       Date:  2015-04-09       Impact factor: 5.640

10.  Heterogeneous shedding of influenza by human subjects and its implications for epidemiology and control.

Authors:  Laetitia Canini; Mark E J Woolhouse; Taronna R Maines; Fabrice Carrat
Journal:  Sci Rep       Date:  2016-12-14       Impact factor: 4.379

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