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Critical Issues in Modelling Lymph Node Physiology

Dmitry Grebennikov, Raoul van Loon Orcid Logo, Mario Novkovic, Lucas Onder, Rostislav Savinkov, Igor Sazonov Orcid Logo, Rufina Tretyakova, Daniel Watson, Gennady Bocharov

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

Swansea University Authors: Raoul van Loon Orcid Logo, Igor Sazonov Orcid Logo

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DOI (Published version): 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 networ...

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Published in: Computation
ISSN: 2079-3197
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa31455
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first_indexed 2016-12-13T13:31:59Z
last_indexed 2018-02-09T05:18:23Z
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spelling 2017-07-07T15:22:52.1390273 v2 31455 2016-12-13 Critical Issues in Modelling Lymph Node Physiology 880b30f90841a022f1e5bac32fb12193 0000-0003-3581-5827 Raoul van Loon Raoul van Loon true false 05a507952e26462561085fb6f62c8897 0000-0001-6685-2351 Igor Sazonov Igor Sazonov true false 2016-12-13 MEDE 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. Journal Article Computation 5 1 3 2079-3197 24 12 2016 2016-12-24 10.3390/computation5010003 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2017-07-07T15:22:52.1390273 2016-12-13T11:24:23.9666535 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Dmitry Grebennikov 1 Raoul van Loon 0000-0003-3581-5827 2 Mario Novkovic 3 Lucas Onder 4 Rostislav Savinkov 5 Igor Sazonov 0000-0001-6685-2351 6 Rufina Tretyakova 7 Daniel Watson 8 Gennady Bocharov 9
title Critical Issues in Modelling Lymph Node Physiology
spellingShingle Critical Issues in Modelling Lymph Node Physiology
Raoul van Loon
Igor Sazonov
title_short Critical Issues in Modelling Lymph Node Physiology
title_full Critical Issues in Modelling Lymph Node Physiology
title_fullStr Critical Issues in Modelling Lymph Node Physiology
title_full_unstemmed Critical Issues in Modelling Lymph Node Physiology
title_sort Critical Issues in Modelling Lymph Node Physiology
author_id_str_mv 880b30f90841a022f1e5bac32fb12193
05a507952e26462561085fb6f62c8897
author_id_fullname_str_mv 880b30f90841a022f1e5bac32fb12193_***_Raoul van Loon
05a507952e26462561085fb6f62c8897_***_Igor Sazonov
author Raoul van Loon
Igor Sazonov
author2 Dmitry Grebennikov
Raoul van Loon
Mario Novkovic
Lucas Onder
Rostislav Savinkov
Igor Sazonov
Rufina Tretyakova
Daniel Watson
Gennady Bocharov
format Journal article
container_title Computation
container_volume 5
container_issue 1
container_start_page 3
publishDate 2016
institution Swansea University
issn 2079-3197
doi_str_mv 10.3390/computation5010003
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 0
active_str 0
description 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.
published_date 2016-12-24T03:38:26Z
_version_ 1763751709914431488
score 11.037603

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