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Inicio  /  Algorithms  /  Vol: 16 Par: 3 (2023)  /  Artículo
ARTÍCULO
TITULO

Network Modeling of Murine Lymphatic System

Dmitry Grebennikov    
Rostislav Savinkov    
Ekaterina Zelenova    
Gennady Lobov and Gennady Bocharov    

Resumen

Animal models of diseases, particularly 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 the 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 the 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.

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