No Cover Image

Journal article 592 views

Critical Issues in Modelling Lymph Node Physiology / Dmitry Grebennikov, Raoul van Loon, Mario Novkovic, Lucas Onder, Rostislav Savinkov, Igor Sazonov, Rufina Tretyakova, Daniel Watson, Gennady Bocharov

Computation, Volume: 5, Issue: 1, Start page: 3

Swansea University Authors: Raoul van Loon, Igor Sazonov

Full text not available from this repository: check for access using links below.

Abstract

In this study, we discuss critical issues in modelling the structure and function of lymph nodes (LNs), with emphasis on how LN physiology is related to its multi-scale structural organization. In addition to macroscopic domains such as B-cell follicles and the T cell zone, there are vascular networ...

Full description

Published in: Computation
ISSN: 2079-3197
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa31455
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: In this study, we discuss critical issues in modelling the structure and function of lymph nodes (LNs), with emphasis on how LN physiology is related to its multi-scale structural organization. In addition to macroscopic domains such as B-cell follicles and the T cell zone, there are vascular networks which play a key role in the delivery of information to the inner parts of the LN, i.e., the conduit and blood microvascular networks. We propose object-oriented computational algorithms to model the 3D geometry of the fibroblastic reticular cell (FRC) network and the microvasculature. Assuming that a conduit cylinder is densely packed with collagen fibers, the computational flow study predicted that the diffusion should be a dominating process in mass transport than convective flow. The geometry models are used to analyze the lymph flow properties through the conduit network in unperturbed- and damaged states of the LN. The analysis predicts that elimination of up to 60%–90% of edges is required to stop the lymph flux. This result suggests a high degree of functional robustness of the network.
College: College of Engineering
Issue: 1
Start Page: 3