Multi-physics approach to model the lymph transport in the murine immune system

Abstract We formulate a compartmental model of the murine lymphatic system with the transfer rate parameters derived from the data on the geometric characteristics of the lymphatic system (LS) graph structure and the Hagen–Poiseuille-based values of the lymph flows through the system components, i.e., vertices and edges. It is supplemented by the physics-based model of lymph node draining-related function which considers a paradigmatic view of its geometry with one- and three-afferent lymphatic vessels and one efferent vessel, and the lymph flow described by the Darcy–Starling equations. We discuss further modelling work needed to gain a predictive understanding of the LS function in response to various perturbations including infections and therapeutic treatments.

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Publication Details

Journal
Russian Journal of Numerical Analysis and Mathematical Modelling
Published
2024-10-31
DOI
https://doi.org/10.1515/rnam-2024-0024
Primary Topic
Immune Cell Function and Interaction
Type
article
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article

Multi-physics approach to model the lymph transport in the murine immune system

Rostislav Savinkov, Г. И. Лобов, Gennady Bocharov, Dmitry Grebennikov et al.
Russian Journal of Numerical Analysis and Mathematical Modelling
Immune Cell Function and Interaction
article

Multi-physics approach to model the lymph transport in the murine immune system

Rostislav Savinkov, Г. И. Лобов, Gennady Bocharov, Dmitry Grebennikov, Bogdan D. Pivovarov
article en

Abstract

Abstract We formulate a compartmental model of the murine lymphatic system with the transfer rate parameters derived from the data on the geometric characteristics of the lymphatic system (LS) graph structure and the Hagen–Poiseuille-based values of the lymph flows through the system components, i.e., vertices and edges. It is supplemented by the physics-based model of lymph node draining-related function which considers a paradigmatic view of its geometry with one- and three-afferent lymphatic vessels and one efferent vessel, and the lymph flow described by the Darcy–Starling equations. We discuss further modelling work needed to gain a predictive understanding of the LS function in response to various perturbations including infections and therapeutic treatments.

Russian Journal of Numerical Analysis and Mathematical ModellingVol. 39(5)
Russian Academy of Sciences (RU), Sechenov University (RU), Institute of Numerical Mathematics (RU), Moscow Center For Continuous Mathematical Education (RU), Pavlov Institute of Physiology of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 75%
Immune Cell Function and Interaction
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