Back to Search Start Over

3D quantification of the lacunocanalicular network on human femoral diaphysis through synchrotron radiation-based nanoCT.

Authors :
Yu B
Gauthier R
Olivier C
Villanova J
Follet H
Mitton D
Peyrin F
Source :
Journal of structural biology [J Struct Biol] 2024 Sep; Vol. 216 (3), pp. 108111. Date of Electronic Publication: 2024 Jul 24.
Publication Year :
2024

Abstract

Osteocytes are the major actors in bone mechanobiology. Within bone matrix, they are trapped close together in a submicrometric interconnected network: the lacunocanalicular network (LCN). The interstitial fluid circulating within the LCN transmits the mechanical information to the osteocytes that convert it into a biochemical signal. Understanding the interstitial fluid dynamics is necessary to better understand the bone mechanobiology. Due to the submicrometric dimensions of the LCN, making it difficult to experimentally investigate fluid dynamics, numerical models appear as a relevant tool for such investigation. To develop such models, there is a need for geometrical and morphological data on the human LCN. This study aims at providing morphological data on the human LCN from measurement of 27 human femoral diaphysis bone samples using synchrotron radiation nano-computed tomography with an isotropic voxel size of 100 nm. Except from the canalicular diameter, the canalicular morphological parameters presented a high variability within one sample. Some differences in terms of both lacunar and canalicular morphology were observed between the male and female populations. But it has to be highlighted that all the canaliculi cannot be detected with a voxel size of 100 nm. Hence, in the current study, only a specific population of large canaliculi that could be characterize. Still, to the authors knowledge, this is the first time such a data set was introduced to the community. Further processing will be achieved in order to provide new insight on the LCN permeability.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-8657
Volume :
216
Issue :
3
Database :
MEDLINE
Journal :
Journal of structural biology
Publication Type :
Academic Journal
Accession number :
39059753
Full Text :
https://doi.org/10.1016/j.jsb.2024.108111