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Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons
A popular hypothesis explains the mechanosensitivity of bone due to osteocytes sensing the load-induced flow of interstitial fluid squeezed through the lacunocanalicular network (LCN). However, the way in which the intricate structure of the LCN influences fluid flow through the network is largely u...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203595/ https://www.ncbi.nlm.nih.gov/pubmed/31782029 http://dx.doi.org/10.1007/s10237-019-01250-1 |
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author | van Tol, Alexander F. Roschger, A. Repp, F. Chen, J. Roschger, P. Berzlanovich, A. Gruber, G. M. Fratzl, P. Weinkamer, Richard |
author_facet | van Tol, Alexander F. Roschger, A. Repp, F. Chen, J. Roschger, P. Berzlanovich, A. Gruber, G. M. Fratzl, P. Weinkamer, Richard |
author_sort | van Tol, Alexander F. |
collection | PubMed |
description | A popular hypothesis explains the mechanosensitivity of bone due to osteocytes sensing the load-induced flow of interstitial fluid squeezed through the lacunocanalicular network (LCN). However, the way in which the intricate structure of the LCN influences fluid flow through the network is largely unexplored. We therefore aimed to quantify fluid flow through real LCNs from human osteons using a combination of experimental and computational techniques. Bone samples were stained with rhodamine to image the LCN with 3D confocal microscopy. Image analysis was then performed to convert image stacks into mathematical network structures, in order to estimate the intrinsic permeability of the osteons as well as the load-induced fluid flow using hydraulic circuit theory. Fluid flow was studied in both ordinary osteons with a rather homogeneous LCN as well as a frequent subtype of osteons—so-called osteon-in-osteons—which are characterized by a ring-like zone of low network connectivity between the inner and the outer parts of these osteons. We analyzed 8 ordinary osteons and 9 osteon-in-osteons from the femur midshaft of a 57-year-old woman without any known disease. While the intrinsic permeability was 2.7 times smaller in osteon-in-osteons compared to ordinary osteons, the load-induced fluid velocity was 2.3 times higher. This increased fluid velocity in osteon-in-osteons can be explained by the longer path length, needed to cross the osteon from the cement line to the Haversian canal, including more fluid-filled lacunae and canaliculi. This explanation was corroborated by the observation that a purely structural parameter—the mean path length to the Haversian canal—is an excellent predictor for the average fluid flow velocity. We conclude that osteon-in-osteons may be particularly significant contributors to the mechanosensitivity of cortical bone, due to the higher fluid flow in this type of osteons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10237-019-01250-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7203595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-72035952020-05-12 Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons van Tol, Alexander F. Roschger, A. Repp, F. Chen, J. Roschger, P. Berzlanovich, A. Gruber, G. M. Fratzl, P. Weinkamer, Richard Biomech Model Mechanobiol Original Paper A popular hypothesis explains the mechanosensitivity of bone due to osteocytes sensing the load-induced flow of interstitial fluid squeezed through the lacunocanalicular network (LCN). However, the way in which the intricate structure of the LCN influences fluid flow through the network is largely unexplored. We therefore aimed to quantify fluid flow through real LCNs from human osteons using a combination of experimental and computational techniques. Bone samples were stained with rhodamine to image the LCN with 3D confocal microscopy. Image analysis was then performed to convert image stacks into mathematical network structures, in order to estimate the intrinsic permeability of the osteons as well as the load-induced fluid flow using hydraulic circuit theory. Fluid flow was studied in both ordinary osteons with a rather homogeneous LCN as well as a frequent subtype of osteons—so-called osteon-in-osteons—which are characterized by a ring-like zone of low network connectivity between the inner and the outer parts of these osteons. We analyzed 8 ordinary osteons and 9 osteon-in-osteons from the femur midshaft of a 57-year-old woman without any known disease. While the intrinsic permeability was 2.7 times smaller in osteon-in-osteons compared to ordinary osteons, the load-induced fluid velocity was 2.3 times higher. This increased fluid velocity in osteon-in-osteons can be explained by the longer path length, needed to cross the osteon from the cement line to the Haversian canal, including more fluid-filled lacunae and canaliculi. This explanation was corroborated by the observation that a purely structural parameter—the mean path length to the Haversian canal—is an excellent predictor for the average fluid flow velocity. We conclude that osteon-in-osteons may be particularly significant contributors to the mechanosensitivity of cortical bone, due to the higher fluid flow in this type of osteons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10237-019-01250-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-11-28 2020 /pmc/articles/PMC7203595/ /pubmed/31782029 http://dx.doi.org/10.1007/s10237-019-01250-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper van Tol, Alexander F. Roschger, A. Repp, F. Chen, J. Roschger, P. Berzlanovich, A. Gruber, G. M. Fratzl, P. Weinkamer, Richard Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title | Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title_full | Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title_fullStr | Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title_full_unstemmed | Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title_short | Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
title_sort | network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203595/ https://www.ncbi.nlm.nih.gov/pubmed/31782029 http://dx.doi.org/10.1007/s10237-019-01250-1 |
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