Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication

Author:

Sergeeva Julia12ORCID,Grebennikov Dmitry345ORCID,Casella Valentina6ORCID,Cebollada Rica Paula6ORCID,Meyerhans Andreas67ORCID,Bocharov Gennady348ORCID

Affiliation:

1. Moscow Institute of Physics and Technology (National Research University), 141700 Dolgoprudny, Russia

2. Skolkovo Institute of Science and Technology, 121205 Moscow, Russia

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

4. Moscow Center of Fundamental and Applied Mathematics at INM RAS, 119234 Moscow, Russia

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

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

7. ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain

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

Abstract

The lymphocytic choriomeningitis virus (LCMV) is a non-cytopathic virus broadly used in fundamental immunology as a mouse model for acute and chronic virus infections. LCMV remains a cause of meningitis in humans, in particular the fatal LCMV infection in organ transplant recipients, which highlights the pathogenic potential and clinical significance of this neglected human pathogen. Paradoxically, the kinetics of the LCMV intracellular life cycle has not been investigated in detail. In this study, we formulate and calibrate a mathematical model predicting the kinetics of biochemical processes, including the transcription, translation, and degradation of molecular components of LCMV underlying its replication in infected cells. The model is used to study the sensitivity of the virus growth, providing a clear ranking of intracellular virus replication processes with respect to their contribution to net viral production. The stochastic formulation of the model enables the quantification of the variability characteristics in viral production, probability of productive infection and secretion of protein-deficient viral particles. As it is recognized that antiviral therapeutic options in human LCMV infection are currently limited, our results suggest potential targets for antiviral therapies. The model provides a currently missing building module for developing multi-scale mathematical models of LCMV infection in mice.

Funder

Russian Science Foundation

Spanish Ministry of Science and Innovation

AEI

Ministry of Science and Higher Education of the Russian Federation

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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