Stochastic Modelling of HIV-1 Replication in a CD4 T Cell with an IFN Response

Author:

Sazonov Igor1ORCID,Grebennikov Dmitry234ORCID,Savinkov Rostislav235,Soboleva Arina6,Pavlishin Kirill7,Meyerhans Andreas89ORCID,Bocharov Gennady235ORCID

Affiliation:

1. Faculty of Science and Engineering, Swansea University, Bay Campus, Fabian Way SA1 8EN, UK

2. Marchuk Institute of Numerical Mathematics of the RAS, 119333 Moscow, Russia

3. Moscow Center of Fundamental and Applied Mathematics at INM RAS, 119333 Moscow, Russia

4. World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, 119991 Moscow, Russia

5. Institute for Computer Science and Mathematical Modelling, Sechenov First Moscow State Medical University, 119991 Moscow, Russia

6. Department of Control and Applied Mathematics, Moscow Institute of Physics and Technology (National Research University), 141701 Dolgoprudny, Russia

7. Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991 Moscow, Russia

8. I CREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain

9. Infection Biology Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, Spain

Abstract

A mathematical model of the human immunodeficiency virus Type 1 (HIV-1) life cycle in CD4 T cells was constructed and calibrated. It describes the activation of the intracellular Type I interferon (IFN-I) response and the IFN-induced suppression of viral replication. The model includes viral replication inhibition by interferon-induced antiviral factors and their inactivation by the viral proteins Vpu and Vif. Both deterministic and stochastic model formulations are presented. The stochastic model was used to predict efficiency of IFN-I-induced suppression of viral replication in different initial conditions for autocrine and paracrine effects. The probability of virion excretion for various MOIs and various amounts of IFN-I was evaluated and the statistical properties of the heterogeneity of HIV-1 and IFN-I production characterised.

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computational methods for multiscale modelling of virus infection dynamics;Russian Journal of Numerical Analysis and Mathematical Modelling;2023-03-01

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