Network architecture strongly influences the fluid flow pattern through the lacunocanalicular network in human osteons.

Autor: van Tol AF; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany. Alexander.VanTol@mpikg.mpg.de.; Berlin-Brandenburg School of Regenerative Therapies (BSRT), Föhrer Str. 15, 13353, Berlin, Germany. Alexander.VanTol@mpikg.mpg.de., Roschger A; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.; Chemistry and Physics of Materials, Paris Lodron University of Salzburg, Jakrob-Haringer Straße 2a, 5020, Salzburg, Austria., Repp F; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany., Chen J; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.; College of Engineering, Mathematics, and Physical Science, University of Exeter, Exeter, EX4 4QF, UK., Roschger P; Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of WGKK and AUVA Trauma Centre Meidling, 1st Medical Department, Hanusch Hospital, Heinrich Collin Str. 30, 1140, Vienna, Austria., Berzlanovich A; Center of Forensic Science, Medical University of Vienna, Sensengasse 2, 1090, Vienna, Austria., Gruber GM; Department of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, 1090, Vienna, Austria., Fratzl P; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany., Weinkamer R; Department of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14476, Potsdam, Germany.
Jazyk: angličtina
Zdroj: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2020 Jun; Vol. 19 (3), pp. 823-840. Date of Electronic Publication: 2019 Nov 28.
DOI: 10.1007/s10237-019-01250-1
Abstrakt: 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.
Databáze: MEDLINE
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