Literature DB >> 31696326

A computational model of a network of initial lymphatics and pre-collectors with permeable interstitium.

B O Ikhimwin1, C D Bertram2, S Jamalian3, C Macaskill1.   

Abstract

Initial lymphatic vessels are made up of overlapped endothelial cells that act as unidirectional valves enabling one-way drainage of tissue fluid into the lumen of the initial lymphatics when there is a favourable pressure gradient. Initial lymphatics subsequently drain this fluid into the collecting lymphatics. This paper describes a computational model for a network of passive rat mesenteric lymphatic vessels with sparse secondary valves. The network was simulated with the secondary valves both operational and non-operational. The effects on the cycle-mean outflow-rate from the network of both inflammation and the resistance of the surrounding interstitium were considered. The cycle-mean outflow-rate is sensitive to vessel stiffness. If the influence of primary-valve resistance is reduced relative to that of interstitial resistance and intravascular resistance, there is no absolute advantage of extrinsic pumping, since maximum outflow-rate occurs when vessels are rigid. However, there is relative advantage, in that the outflow-rate at intermediate stiffness is higher with the secondary valves functioning than when they are deactivated. If primary-valve resistance dominates, then extrinsic pumping of non-rigid vessels provides absolute advantage. The nonlinear relation between pressure drop and flow-rate of the endothelial primary valves, combined with downstream compliance and pulsatile external pressure, constitutes a separate mechanism of pumping. By enabling the consideration of interactions between multiple phenomena (primary valves, secondary valves, a real network geometry with multiple branches, deformable vessel walls, interstitial resistance and external pressures), the model offers a perspective for delineating physiological phenomena that have not yet been fully linked to the biomechanics of fluid flow through initial lymphatic networks.

Entities:  

Keywords:  Extrinsic pumping; Fluid–structure interaction; Lymph flow; Numerical model

Mesh:

Year:  2019        PMID: 31696326      PMCID: PMC7117975          DOI: 10.1007/s10237-019-01238-x

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  33 in total

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Authors:  J Trzewik; S K Mallipattu; G M Artmann; F A Delano; G W Schmid-Schönbein
Journal:  FASEB J       Date:  2001-08       Impact factor: 5.191

2.  Multiscale modeling of lymphatic drainage from tissues using homogenization theory.

Authors:  Tiina Roose; Melody A Swartz
Journal:  J Biomech       Date:  2011-10-28       Impact factor: 2.712

3.  A two-dimensional computational model of lymph transport across primary lymphatic valves.

Authors:  Peter Galie; Robert L Spilker
Journal:  J Biomech Eng       Date:  2009-11       Impact factor: 2.097

4.  Intrinsic pump-conduit behavior of lymphangions.

Authors:  Christopher M Quick; Arun M Venugopal; Anatoliy A Gashev; David C Zawieja; Randolph H Stewart
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2006-11-22       Impact factor: 3.619

5.  Mathematical model of the initial lymphatics.

Authors:  S Elhay; J R Casley-Smith
Journal:  Microvasc Res       Date:  1976-09       Impact factor: 3.514

6.  The effect of transmural pressure on pumping activity in isolated bovine lymphatic vessels.

Authors:  N G McHale; I C Roddie
Journal:  J Physiol       Date:  1976-10       Impact factor: 5.182

7.  Lymphatic pathways and role of valves in lymph propulsion from small intestine.

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Journal:  Am J Physiol       Date:  1988-03

8.  Lymphatic System Flows.

Authors:  James E Moore; Christopher D Bertram
Journal:  Annu Rev Fluid Mech       Date:  2018-01       Impact factor: 18.511

9.  Studies on the permeability of lymphatic capillaries.

Authors:  L V Leak
Journal:  J Cell Biol       Date:  1971-08       Impact factor: 10.539

10.  Network Scale Modeling of Lymph Transport and Its Effective Pumping Parameters.

Authors:  Samira Jamalian; Michael J Davis; David C Zawieja; James E Moore
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240

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  1 in total

Review 1.  In Vitro, In Vivo, and In Silico Models of Lymphangiogenesis in Solid Malignancies.

Authors:  Sophie Bekisz; Louis Baudin; Florence Buntinx; Agnès Noël; Liesbet Geris
Journal:  Cancers (Basel)       Date:  2022-03-16       Impact factor: 6.639

  1 in total

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