Within-host influenza dynamics: A small-scale mathematical modeling approach

被引:22
|
作者
Manchanda, Himanshu [1 ,2 ]
Seidel, Nora [2 ]
Krumbholz, Andi [2 ,3 ,4 ]
Sauerbrei, Andreas [2 ]
Schmidtke, Michaela [2 ]
Guthke, Reinhard [1 ]
机构
[1] Hans Knoell Inst, Leibniz Inst Nat Prod Res & Infect Biol, Jena, Germany
[2] Jena Univ Hosp, Dept Virol & Antiviral Therapy, Jena, Germany
[3] Univ Kiel, Inst Infect Med, Kiel, Germany
[4] Univ Med Ctr Schleswig Holstein, Kiel, Germany
关键词
Influenza virus; Infection; Modeling; Virus replication; Immune response; Inflammation; A VIRUS-INFECTION; PRACTICAL IDENTIFIABILITY ANALYSIS; ADAPTIVE IMMUNE-RESPONSE; ORGAN FAILURE; APRIL; 2009; H1N1; INFLAMMATION; IDENTIFICATION; SIMULATION; INHIBITOR;
D O I
10.1016/j.biosystems.2014.02.004
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:51 / 59
页数:9
相关论文
共 50 条
  • [21] Mathematical modelling of the within-host HIV quasispecies dynamics in response to antiviral treatment
    Bocharov, Gennady A.
    Telatnikov, Ilya S.
    Chereshnev, Valery A.
    Martinez, Javier
    Meyerhans, Andreas
    [J]. RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, 2015, 30 (03) : 157 - 170
  • [22] Mathematical analysis of within-host dengue dynamics with innate and adaptive immune responsess
    Sulanie Perera
    S. S. N. Perera
    [J]. The Journal of Analysis, 2023, 31 : 1687 - 1706
  • [23] Mathematical modelling of the role of mucosal vaccine on the within-host dynamics of Chlamydia trachomatis
    Akinlotan, Morenikeji Deborah
    Mallet, Dann G.
    Araujo, Robyn P.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2020, 497
  • [24] Within-host dynamics of antigenic variation
    Frank, SA
    Barbour, AG
    [J]. INFECTION GENETICS AND EVOLUTION, 2006, 6 (02) : 141 - 146
  • [25] Mathematical analysis of within-host dengue dynamics with innate and adaptive immune responsess
    Perera, Sulanie
    Perera, S. S. N.
    [J]. JOURNAL OF ANALYSIS, 2023, 31 (03): : 1687 - 1706
  • [26] A Mathematical Model for the Within-Host Dynamics of Malaria Parasite with Adaptive Immune Responses
    Ahmed, Jemal Muhammed
    Tilahun, Getachew Tashome
    Degefa, Shambel Tadesse
    [J]. INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES, 2024, 2024
  • [27] Modeling the within-host dynamics of cholera: bacterial-viral interaction
    Wang, Xueying
    Wang, Jin
    [J]. JOURNAL OF BIOLOGICAL DYNAMICS, 2017, 11 : 484 - 501
  • [28] Seven challenges in modeling pathogen dynamics within-host and across scales
    Gog, Julia R.
    Pellis, Lorenzo
    Wood, James L. N.
    McLean, Angela R.
    Arinaminpathy, Nimalan
    Lloyd-Smith, James O.
    [J]. EPIDEMICS, 2015, 10 : 45 - 48
  • [29] An ecosystem approach to understanding and managing within-host parasite community dynamics
    Rynkiewicz, Evelyn C.
    Pedersen, Amy B.
    Fenton, Andy
    [J]. TRENDS IN PARASITOLOGY, 2015, 31 (05) : 212 - 221
  • [30] Within-host evolutionary dynamics of seasonal and pandemic human influenza A viruses in young children
    Han, Alvin X.
    Garza, Zandra C. Felix
    Welkers, Matthijs R. A.
    Vigeveno, Rene M.
    Nhu Duong Tran
    Thi Quynh Mai Le
    Thai Pham Quang
    Dinh Thoang Dang
    Thi Ngoc Anh Tran
    Manh Tuan Ha
    Thanh Hung Nguyen
    Quoc Thinh Le
    Thanh Hai Le
    Thi Bich Ngoc Hoang
    Chokephaibulkit, Kulkanya
    Puthavathana, Pilaipan
    Van Vinh Chau Nguyen
    My Ngoc Nghiem
    Van Kinh Nguyen
    Tuyet Trinh Dao
    Tinh Hien Tran
    Wertheim, Heiman F. L.
    Horby, Peter W.
    Fox, Annette
    van Doorn, H. Rogier
    Eggink, Dirk
    de Jong, Menno D.
    Russell, Colin A.
    [J]. ELIFE, 2021, 10