Literature DB >> 22036032

Multiscale modeling of lymphatic drainage from tissues using homogenization theory.

Tiina Roose1, Melody A Swartz.   

Abstract

Lymphatic capillary drainage of interstitial fluid under both steady-state and inflammatory conditions is important for tissue fluid balance, cancer metastasis, and immunity. Lymphatic drainage function is critically coupled to the fluid mechanical properties of the interstitium, yet this coupling is poorly understood. Here we sought to effectively model the lymphatic-interstitial fluid coupling and ask why the lymphatic capillary network often appears with roughly a hexagonal architecture. We use homogenization method, which allows tissue-scale lymph flow to be integrated with the microstructural details of the lymphatic capillaries, thus gaining insight into the functionality of lymphatic anatomy. We first describe flow in lymphatic capillaries using the Navier-Stokes equations and flow through the interstitium using Darcy's law. We then use multiscale homogenization to derive macroscale equations describing lymphatic drainage, with the mouse tail skin as a basis. We find that the limiting resistance for fluid drainage is that from the interstitium into the capillaries rather than within the capillaries. We also find that between hexagonal, square, and parallel tube configurations of lymphatic capillary networks, the hexagonal structure is the most efficient architecture for coupled interstitial and capillary fluid transport; that is, it clears the most interstitial fluid for a given network density and baseline interstitial fluid pressure. Thus, using homogenization theory, one can assess how vessel microstructure influences the macroscale fluid drainage by the lymphatics and demonstrate why the hexagonal network of dermal lymphatic capillaries is optimal for interstitial tissue fluid clearance.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22036032     DOI: 10.1016/j.jbiomech.2011.09.015

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  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

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

Authors:  B O Ikhimwin; C D Bertram; S Jamalian; C Macaskill
Journal:  Biomech Model Mechanobiol       Date:  2019-11-07

Review 3.  The Lymphatic System in Disease Processes and Cancer Progression.

Authors:  Timothy P Padera; Eelco F J Meijer; Lance L Munn
Journal:  Annu Rev Biomed Eng       Date:  2016-02-05       Impact factor: 9.590

Review 4.  Primary and secondary lymphatic valve development: molecular, functional and mechanical insights.

Authors:  Eleni Bazigou; John T Wilson; James E Moore
Journal:  Microvasc Res       Date:  2014-07-30       Impact factor: 3.514

5.  Lymphatic System Flows.

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

Review 6.  Modelling the lymphatic system: challenges and opportunities.

Authors:  K N Margaris; R A Black
Journal:  J R Soc Interface       Date:  2012-01-11       Impact factor: 4.118

Review 7.  Multiscale modeling methods in biomechanics.

Authors:  Pinaki Bhattacharya; Marco Viceconti
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-01-19

Review 8.  The role of mechanical forces in tumor growth and therapy.

Authors:  Rakesh K Jain; John D Martin; Triantafyllos Stylianopoulos
Journal:  Annu Rev Biomed Eng       Date:  2014-07-11       Impact factor: 9.590

9.  Multiscale Agent-Based and Hybrid Modeling of the Tumor Immune Microenvironment.

Authors:  Kerri-Ann Norton; Chang Gong; Samira Jamalian; Aleksander S Popel
Journal:  Processes (Basel)       Date:  2019-01-13       Impact factor: 2.847

  9 in total

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