Literature DB >> 21186898

Simulation of a chain of collapsible contracting lymphangions with progressive valve closure.

C D Bertram1, C Macaskill, J E Moore.   

Abstract

The aim of this investigation was to achieve the first step toward a comprehensive model of the lymphatic system. A numerical model has been constructed of a lymphatic vessel, consisting of a short series chain of contractile segments (lymphangions) and of intersegmental valves. The changing diameter of a segment governs the difference between the flows through inlet and outlet valves and is itself governed by a balance between transmural pressure and passive and active wall properties. The compliance of segments is maximal at intermediate diameters and decreases when the segments are subject to greatly positive or negative transmural pressure. Fluid flow is the result of time-varying active contraction causing diameter to reduce and is limited by segmental viscous and valvular resistance. The valves effect a smooth transition from low forward-flow resistance to high backflow resistance. Contraction occurs sequentially in successive lymphangions in the forward-flow direction. The behavior of chains of one to five lymphangions was investigated by means of pump function curves, with variation of valve opening parameters, maximum contractility, lymphangion size gradation, number of lymphangions, and phase delay between adjacent lymphangion contractions. The model was reasonably robust numerically, with mean flow-rate generally reducing as adverse pressure was increased. Sequential contraction was found to be much more efficient than synchronized contraction. At the highest adverse pressures, pumping failed by one of two mechanisms, depending on parameter settings: either mean leakback flow exceeded forward pumping or contraction failed to open the lymphangion outlet valve. Maximum pressure and maximum flow-rate were both sensitive to the contractile state; maximum pressure was also determined by the number of lymphangions in series. Maximum flow-rate was highly sensitive to the transmural pressure experienced by the most upstream lymphangions, suggesting that many feeding lymphatics would be needed to supply one downstream lymphangion chain pumping at optimal transmural pressure.

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Year:  2011        PMID: 21186898      PMCID: PMC3356777          DOI: 10.1115/1.4002799

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  13 in total

1.  Co-ordination of pumping in isolated bovine lymphatic vessels.

Authors:  N G McHale; M K Meharg
Journal:  J Physiol       Date:  1992-05       Impact factor: 5.182

2.  Length-tension relationships of small arteries, veins, and lymphatics from the rat mesenteric microcirculation.

Authors:  Rong-Zhen Zhang; Anatoliy A Gashev; David C Zawieja; Michael J Davis
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-12-15       Impact factor: 4.733

3.  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

4.  Lymphangion coordination minimally affects mean flow in lymphatic vessels.

Authors:  Arun M Venugopal; Randolph H Stewart; Glen A Laine; Ranjeet M Dongaonkar; Christopher M Quick
Journal:  Am J Physiol Heart Circ Physiol       Date:  2007-04-27       Impact factor: 4.733

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Authors:  N P Reddy; T A Krouskop; P H Newell
Journal:  Comput Biol Med       Date:  1977-07       Impact factor: 4.589

6.  Co-ordination of contractile activity in guinea-pig mesenteric lymphatics.

Authors:  M J Crowe; P Y von der Weid; J A Brock; D F Van Helden
Journal:  J Physiol       Date:  1997-04-01       Impact factor: 5.182

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Journal:  Am J Physiol       Date:  1993-04

8.  Inhibition of the active lymph pump by flow in rat mesenteric lymphatics and thoracic duct.

Authors:  Anatoliy A Gashev; Michael J Davis; David C Zawieja
Journal:  J Physiol       Date:  2002-05-01       Impact factor: 5.182

Review 9.  Microlymphatics and lymph flow.

Authors:  G W Schmid-Schönbein
Journal:  Physiol Rev       Date:  1990-10       Impact factor: 37.312

10.  The resistance of a lymph node to lymph flow.

Authors:  N L Browse; R L Doig; D Sizeland
Journal:  Br J Surg       Date:  1984-03       Impact factor: 6.939

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  31 in total

1.  Effects of dynamic shear and transmural pressure on wall shear stress sensitivity in collecting lymphatic vessels.

Authors:  Jeffrey A Kornuta; Zhanna Nepiyushchikh; Olga Y Gasheva; Anish Mukherjee; David C Zawieja; J Brandon Dixon
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-09-02       Impact factor: 3.619

2.  Mechanobiological oscillators control lymph flow.

Authors:  Christian Kunert; James W Baish; Shan Liao; Timothy P Padera; Lance L Munn
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

3.  Consequences of intravascular lymphatic valve properties: a study of contraction timing in a multi-lymphangion model.

Authors:  Christopher D Bertram; Charlie Macaskill; Michael J Davis; James E Moore
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-01-08       Impact factor: 4.733

4.  Parameter sensitivity analysis of a lumped-parameter model of a chain of lymphangions in series.

Authors:  Samira Jamalian; Christopher D Bertram; William J Richardson; James E Moore
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-10-11       Impact factor: 4.733

5.  Confocal image-based computational modeling of nitric oxide transport in a rat mesenteric lymphatic vessel.

Authors:  John T Wilson; Wei Wang; Augustus H Hellerstedt; David C Zawieja; James E Moore
Journal:  J Biomech Eng       Date:  2013-05       Impact factor: 2.097

6.  Determinants of valve gating in collecting lymphatic vessels from rat mesentery.

Authors:  Michael J Davis; Elaheh Rahbar; Anatoliy A Gashev; David C Zawieja; James E Moore
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-04-01       Impact factor: 4.733

7.  Development of a model of a multi-lymphangion lymphatic vessel incorporating realistic and measured parameter values.

Authors:  C D Bertram; C Macaskill; M J Davis; J E Moore
Journal:  Biomech Model Mechanobiol       Date:  2013-06-26

8.  Estimation of the Pressure Drop Required for Lymph Flow through Initial Lymphatic Networks.

Authors:  David C Sloas; Scott A Stewart; Richard S Sweat; Travis M Doggett; Natascha G Alves; Jerome W Breslin; Donald P Gaver; Walter L Murfee
Journal:  Lymphat Res Biol       Date:  2016-06-06       Impact factor: 2.589

9.  Incorporating measured valve properties into a numerical model of a lymphatic vessel.

Authors:  C D Bertram; C Macaskill; J E Moore
Journal:  Comput Methods Biomech Biomed Engin       Date:  2013-02-06       Impact factor: 1.763

10.  Ex vivo lymphatic perfusion system for independently controlling pressure gradient and transmural pressure in isolated vessels.

Authors:  Jeffrey A Kornuta; J Brandon Dixon
Journal:  Ann Biomed Eng       Date:  2014-05-09       Impact factor: 3.934

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