AI Article Synopsis

  • - Osteocytes play a crucial role in bone mechanobiology by communicating mechanical signals through the interconnected lacunocanalicular network (LCN) filled with interstitial fluid.
  • - This study aimed to gather detailed morphological data on the human LCN using advanced imaging techniques, specifically measuring 27 femoral bone samples with a 100 nm voxel size.
  • - Results showed variability in canalicular morphology, with some differences between males and females, although only larger canaliculi were detected; this research is groundbreaking as it presents new data for further investigations on LCN permeability.

Article 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.

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Source
http://dx.doi.org/10.1016/j.jsb.2024.108111DOI Listing

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