Article
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Preserved in Portico This version is not peer-reviewed
Network Modelling of Murine Lymphatic System
Version 1
: Received: 17 February 2023 / Approved: 21 February 2023 / Online: 21 February 2023 (10:03:22 CET)
A peer-reviewed article of this Preprint also exists.
Grebennikov, D.; Savinkov, R.; Zelenova, E.; Lobov, G.; Bocharov, G. Network Modeling of Murine Lymphatic System. Algorithms 2023, 16, 168. Grebennikov, D.; Savinkov, R.; Zelenova, E.; Lobov, G.; Bocharov, G. Network Modeling of Murine Lymphatic System. Algorithms 2023, 16, 168.
Abstract
Animal models of diseases in particular, the mice, are considered to be the cornerstone for translational research in immunology. The aim of the present study is to model the geometry and analyze the network structure of murine lymphatic system (LS). The algorithm for building the graph model of the LS makes use of anatomical data. To identify the edge directions of the graph model, a mass balance approach to lymph dynamics based on Hagen-Poiseuille equation is applied. It is the first study in which a geometric model of the murine LS has been developed and characterized in terms of its structural organization and the lymph transfer function. Our study meets the demand for quantitative mechanistic approaches in the growing field of immunoengineering to utilize or exploit the lymphatic system for immunotherapy.
Keywords
Lymphatic system; experimental mice; network; graph model; topology; computation; lymph flow
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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