Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication

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 highlight...

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Main Authors: Julia Sergeeva, Dmitry Grebennikov, Valentina Casella, Paula Cebollada Rica, Andreas Meyerhans, Gennady Bocharov
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/21/4454
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author Julia Sergeeva
Dmitry Grebennikov
Valentina Casella
Paula Cebollada Rica
Andreas Meyerhans
Gennady Bocharov
author_facet Julia Sergeeva
Dmitry Grebennikov
Valentina Casella
Paula Cebollada Rica
Andreas Meyerhans
Gennady Bocharov
author_sort Julia Sergeeva
collection DOAJ
description 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.
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spelling doaj.art-0125c288ccd248f7ae9b347e396cec8e2023-11-10T15:07:56ZengMDPI AGMathematics2227-73902023-10-011121445410.3390/math11214454Mathematical Model Predicting the Kinetics of Intracellular LCMV ReplicationJulia Sergeeva0Dmitry Grebennikov1Valentina Casella2Paula Cebollada Rica3Andreas Meyerhans4Gennady Bocharov5Moscow Institute of Physics and Technology (National Research University), 141700 Dolgoprudny, RussiaMarchuk Institute of Numerical Mathematics of the RAS, 119333 Moscow, RussiaInfection Biology Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, SpainInfection Biology Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, SpainInfection Biology Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, SpainMarchuk Institute of Numerical Mathematics of the RAS, 119333 Moscow, RussiaThe 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.https://www.mdpi.com/2227-7390/11/21/4454LCMVintracellular replicationmathematical modelstochastic descriptionsensitivity analysis<title>MSC</title>
spellingShingle Julia Sergeeva
Dmitry Grebennikov
Valentina Casella
Paula Cebollada Rica
Andreas Meyerhans
Gennady Bocharov
Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
Mathematics
LCMV
intracellular replication
mathematical model
stochastic description
sensitivity analysis
<title>MSC</title>
title Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
title_full Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
title_fullStr Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
title_full_unstemmed Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
title_short Mathematical Model Predicting the Kinetics of Intracellular LCMV Replication
title_sort mathematical model predicting the kinetics of intracellular lcmv replication
topic LCMV
intracellular replication
mathematical model
stochastic description
sensitivity analysis
<title>MSC</title>
url https://www.mdpi.com/2227-7390/11/21/4454
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