Modeling the intracellular dynamics of the dengue viral infection and the innate immune response

被引:1
|
作者
Castano-Arcila, Mauricio [1 ]
Aguilera, Luis U. [2 ]
Rodriguez-Gonzalez, Jesus [1 ]
机构
[1] Inst Politecn Nacl, Ctr Invest & Estudios Avanzados, Unidad Monterrey, Via Conocimiento 201,Parque PITT, Apodaca 66600, NL, Mexico
[2] Colorado State Univ, Dept Chem & Biol Engn, Ft Collins, CO 80523 USA
关键词
Dengue; ISG proteins; Stochastic modeling; Bistability; Bimodality; Intracellular dynamics; Innate immune system; INTERFERON-ALPHA; MESSENGER-RNA; HUMAN-CELLS; VIRUS; HYSTERESIS; PROTEINS; GENES;
D O I
10.1016/j.jtbi.2020.110529
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The interplay between the dengue virus and the innate immune response is not fully understood. Here, we use deterministic and stochastic approaches to investigate the dynamics of the interaction between the interferon-mediated innate immune response and the dengue virus. We aim to develop a quantitative representation of these complex interactions and predict their system-level dynamics. Our simulation results predict bimodal and bistable dynamics that represent viral clearance and virus-producing states. Under normal conditions, we determined that the viral infection outcome is modulated by the innate immune response and the positive-strand viral RNA concentration. Additionally, we tested system perturbations by external stimulation, such as the direct induction of the innate immune response by interferon, and a therapeutic intervention consisting of the direct application of mRNA encoding for several interferon-stimulated genes. Our simulation results suggest optimal regimes for the studied intervention approaches. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Dynamics of an innate myeloid cell response to acute CNS viral infection
    Nayak, Debasis
    Zinselmeyer, Bernd
    McGavern, Dorian
    [J]. JOURNAL OF IMMUNOLOGY, 2011, 186
  • [22] Intracellular sensing of viral DNA by the innate immune system
    Mansur, Daniel S.
    Smith, Geoffrey L.
    Ferguson, Brian J.
    [J]. MICROBES AND INFECTION, 2014, 16 (12) : 1002 - 1012
  • [23] Relative hypoglycemia due to viral infection promotes the innate anti-viral immune response
    Benic, A.
    Sestan, M.
    Mikasinovic, S.
    Wensveen, F. M.
    Polic, B.
    [J]. FEBS OPEN BIO, 2021, 11 : 455 - 456
  • [24] The function and regulatory mechanism of intracellular molecules in innate immune response in HBV infection
    Chen, Liping
    Yang, Jingmao
    Liu, Qihang
    Wu, Nana
    Wang, Yajie
    Liu, Min
    Shang, Zhiyin
    Huang, Jun
    Cheng, Jilin
    [J]. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2018, 33 : 50 - 50
  • [25] Innate immune responses in RNA viral infection
    Qian Xu
    Yuting Tang
    Gang Huang
    [J]. Frontiers of Medicine, 2021, 15 : 333 - 346
  • [26] Innate immune responses in RNA viral infection
    Xu, Qian
    Tang, Yuting
    Huang, Gang
    [J]. FRONTIERS OF MEDICINE, 2021, 15 (03) : 333 - 346
  • [27] Innate immune responses in RNA viral infection
    Qian Xu
    Yuting Tang
    Gang Huang
    [J]. Frontiers of Medicine, 2021, 15 (03) : 333 - 346
  • [28] PAR-1 contributes to the innate immune response during viral infection
    Antoniak, Silvio
    Owens, A. Phillip, III
    Baunacke, Martin
    Williams, Julie C.
    Lee, Rebecca D.
    Weithaeuser, Alice
    Sheridan, Patricia A.
    Malz, Ronny
    Luyendyk, James P.
    Esserman, Denise A.
    Trejo, JoAnn
    Kirchhofer, Daniel
    Blaxall, Burns C.
    Pawlinski, Rafal
    Beck, Melinda A.
    Rauch, Ursula
    Mackman, Nigel
    [J]. JOURNAL OF CLINICAL INVESTIGATION, 2013, 123 (03): : 1310 - 1322
  • [29] Lipid droplet density alters the early innate immune response to viral infection
    Monson, Ebony A.
    Crosse, Keaton M.
    Das, Mithun
    Helbig, Karla J.
    [J]. PLOS ONE, 2018, 13 (01):
  • [30] Dynamics of a generalized viral infection model with adaptive immune response
    Hattaf K.
    Khabouze M.
    Yousfi N.
    [J]. International Journal of Dynamics and Control, 2015, 3 (03) : 253 - 261