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

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Boliang Yu , Remy Gauthier , Cécile Olivier , Julie Villanova , Hélène Follet , David Mitton , Francoise Peyrin
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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.

Abstract Image

Abstract Image

通过同步辐射纳米 CT 对人类股骨干骺端的裂隙神经网络进行三维量化。
骨细胞是骨机械生物学的主要参与者。在骨基质中,它们被紧紧困在一个亚微米级的互连网络中:裂隙神经网(LCN)。在 LCN 内循环的间质流体将机械信息传递给骨细胞,骨细胞将其转化为生化信号。要更好地理解骨机械生物学,就必须了解间质流体动力学。由于 LCN 的尺寸为亚微米级,因此很难通过实验研究其流体动力学,而数值模型则是进行此类研究的相关工具。要开发此类模型,就需要人类 LCN 的几何和形态数据。本研究旨在利用同步辐射纳米计算机断层扫描技术(各向同性体素尺寸为 100 纳米)测量 27 个人体股骨头干骺端骨样本,从而提供人体 LCN 的形态学数据。除管腔直径外,每个样本内的管腔形态参数都存在很大差异。男性和女性人群在裂隙和管腔形态方面都存在一些差异。但必须强调的是,100 nm 的体素尺寸无法检测到所有的管腔。因此,在目前的研究中,只能对特定的大管腔群体进行特征描述。不过,据作者所知,这是首次向社会推出这样的数据集。为了对 LCN 的渗透性提供新的见解,我们还将对其进行进一步处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of structural biology
Journal of structural biology 生物-生化与分子生物学
CiteScore
6.30
自引率
3.30%
发文量
88
审稿时长
65 days
期刊介绍: Journal of Structural Biology (JSB) has an open access mirror journal, the Journal of Structural Biology: X (JSBX), sharing the same aims and scope, editorial team, submission system and rigorous peer review. Since both journals share the same editorial system, you may submit your manuscript via either journal homepage. You will be prompted during submission (and revision) to choose in which to publish your article. The editors and reviewers are not aware of the choice you made until the article has been published online. JSB and JSBX publish papers dealing with the structural analysis of living material at every level of organization by all methods that lead to an understanding of biological function in terms of molecular and supermolecular structure. Techniques covered include: • Light microscopy including confocal microscopy • All types of electron microscopy • X-ray diffraction • Nuclear magnetic resonance • Scanning force microscopy, scanning probe microscopy, and tunneling microscopy • Digital image processing • Computational insights into structure
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