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Mathematical model of blood and interstitial flow and lymph production in the liver

We present a mathematical model of blood and interstitial flow in the liver. The liver is treated as a lattice of hexagonal ‘classic’ lobules, which are assumed to be long enough that end effects may be neglected and a two-dimensional problem considered. Since sinusoids and lymphatic vessels are num...

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Autores principales: Siggers, Jennifer H., Leungchavaphongse, Kritsada, Ho, Chong Hang, Repetto, Rodolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968522/
https://www.ncbi.nlm.nih.gov/pubmed/23907149
http://dx.doi.org/10.1007/s10237-013-0516-x
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author Siggers, Jennifer H.
Leungchavaphongse, Kritsada
Ho, Chong Hang
Repetto, Rodolfo
author_facet Siggers, Jennifer H.
Leungchavaphongse, Kritsada
Ho, Chong Hang
Repetto, Rodolfo
author_sort Siggers, Jennifer H.
collection PubMed
description We present a mathematical model of blood and interstitial flow in the liver. The liver is treated as a lattice of hexagonal ‘classic’ lobules, which are assumed to be long enough that end effects may be neglected and a two-dimensional problem considered. Since sinusoids and lymphatic vessels are numerous and small compared to the lobule, we use a homogenized approach, describing the sinusoidal and interstitial spaces as porous media. We model plasma filtration from sinusoids to the interstitium, lymph uptake by lymphatic ducts, and lymph outflow from the liver surface. Our results show that the effect of the liver surface only penetrates a depth of a few lobules’ thickness into the tissue. Thus, we separately consider a single lobule lying sufficiently far from all external boundaries that we may regard it as being in an infinite lattice, and also a model of the region near the liver surface. The model predicts that slightly more lymph is produced by interstitial fluid flowing through the liver surface than that taken up by the lymphatic vessels in the liver and that the non-peritonealized region of the surface of the liver results in the total lymph production (uptake by lymphatics plus fluid crossing surface) being about 5 % more than if the entire surface were covered by the Glisson–peritoneal membrane. Estimates of lymph outflow through the surface of the liver are in good agreement with experimental data. We also study the effect of non-physiological values of the controlling parameters, particularly focusing on the conditions of portal hypertension and ascites. To our knowledge, this is the first attempt to model lymph production in the liver. The model provides clinically relevant information about lymph outflow pathways and predicts the systemic response to pathological variations.
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spelling pubmed-39685222014-03-28 Mathematical model of blood and interstitial flow and lymph production in the liver Siggers, Jennifer H. Leungchavaphongse, Kritsada Ho, Chong Hang Repetto, Rodolfo Biomech Model Mechanobiol Original Paper We present a mathematical model of blood and interstitial flow in the liver. The liver is treated as a lattice of hexagonal ‘classic’ lobules, which are assumed to be long enough that end effects may be neglected and a two-dimensional problem considered. Since sinusoids and lymphatic vessels are numerous and small compared to the lobule, we use a homogenized approach, describing the sinusoidal and interstitial spaces as porous media. We model plasma filtration from sinusoids to the interstitium, lymph uptake by lymphatic ducts, and lymph outflow from the liver surface. Our results show that the effect of the liver surface only penetrates a depth of a few lobules’ thickness into the tissue. Thus, we separately consider a single lobule lying sufficiently far from all external boundaries that we may regard it as being in an infinite lattice, and also a model of the region near the liver surface. The model predicts that slightly more lymph is produced by interstitial fluid flowing through the liver surface than that taken up by the lymphatic vessels in the liver and that the non-peritonealized region of the surface of the liver results in the total lymph production (uptake by lymphatics plus fluid crossing surface) being about 5 % more than if the entire surface were covered by the Glisson–peritoneal membrane. Estimates of lymph outflow through the surface of the liver are in good agreement with experimental data. We also study the effect of non-physiological values of the controlling parameters, particularly focusing on the conditions of portal hypertension and ascites. To our knowledge, this is the first attempt to model lymph production in the liver. The model provides clinically relevant information about lymph outflow pathways and predicts the systemic response to pathological variations. Springer Berlin Heidelberg 2013-08-02 2014 /pmc/articles/PMC3968522/ /pubmed/23907149 http://dx.doi.org/10.1007/s10237-013-0516-x Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Paper
Siggers, Jennifer H.
Leungchavaphongse, Kritsada
Ho, Chong Hang
Repetto, Rodolfo
Mathematical model of blood and interstitial flow and lymph production in the liver
title Mathematical model of blood and interstitial flow and lymph production in the liver
title_full Mathematical model of blood and interstitial flow and lymph production in the liver
title_fullStr Mathematical model of blood and interstitial flow and lymph production in the liver
title_full_unstemmed Mathematical model of blood and interstitial flow and lymph production in the liver
title_short Mathematical model of blood and interstitial flow and lymph production in the liver
title_sort mathematical model of blood and interstitial flow and lymph production in the liver
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968522/
https://www.ncbi.nlm.nih.gov/pubmed/23907149
http://dx.doi.org/10.1007/s10237-013-0516-x
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