Preprint Article Version 1 This version is not peer-reviewed

Critical Issues in Modelling Lymph Node Physiology

Version 1 : Received: 8 December 2016 / Approved: 9 December 2016 / Online: 9 December 2016 (10:19:20 CET)

A peer-reviewed article of this Preprint also exists.

Grebennikov, D.; van Loon, R.; Novkovic, M.; Onder, L.; Savinkov, R.; Sazonov, I.; Tretyakova, R.; Watson, D.J.; Bocharov, G. Critical Issues in Modelling Lymph Node Physiology. Computation 2017, 5, 3. Grebennikov, D.; van Loon, R.; Novkovic, M.; Onder, L.; Savinkov, R.; Sazonov, I.; Tretyakova, R.; Watson, D.J.; Bocharov, G. Critical Issues in Modelling Lymph Node Physiology. Computation 2017, 5, 3.

Journal reference: Computation 2017, 5, 3
DOI: 10.3390/computation5010003

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.

Subject Areas

computational model; lymph node; multiscale structure; vascular network; fibroblastic reticular cells; conduit network; lymph flow; destruction of conduits

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