Stochastic modelling of HIV-1 replication in a CD4 T cell with an IFN response

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 replica...

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Detalles Bibliográficos
Autores: Sazonov, Igor, Grebennikov, Dmitry, Savinkov, Rostislav, Soboleva, Arina, Pavlishin, Kirill, Meyerhans, Andreas, Bocharov, Gennady A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/57002
Acceso en línea:http://hdl.handle.net/10230/57002
http://dx.doi.org/10.3390/v15020296
Access Level:acceso abierto
Palabra clave:HIV life cycle
Markov chain Monte Carlo method
Type I interferon (IFN-I)
Mathematical model
Sensitivity analysis
Stochastic processes
Viral dynamics
Descripción
Sumario: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.