Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: van Tol, Alexander F., Roschger, A., Repp, F., Chen, J., Roschger, P., Berzlanovich, A., Gruber, G. M., Fratzl, P., Weinkamer, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
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
_version_ 1783529899901845504
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
work_keys_str_mv AT vantolalexanderf networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT roschgera networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT reppf networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT chenj networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT roschgerp networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT berzlanovicha networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT grubergm networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT fratzlp networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons
AT weinkamerrichard networkarchitecturestronglyinfluencesthefluidflowpatternthroughthelacunocanalicularnetworkinhumanosteons