同步辐射在骨细胞成像中的新发现

Q3 Chemistry
Hugues Portier, C. Jaffré, C. Kewish, Christine Chappard, S. Pallu
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引用次数: 8

摘要

骨健康取决于骨矿物质密度和机械强度,通过骨小梁和皮质微结构等定性参数以及描述骨细胞的其他参数进行定量表征和表达。在这些细胞中,骨细胞被认为是骨重塑的协调器,在指导成骨细胞和破骨细胞活动中发挥着关键作用。传统的光学和电子显微镜极大地提高了我们对不同骨关节病理生理环境中涉及的细胞生理机制的理解,尤其是骨质疏松症。最近,利用同步辐射的成像方法,如X射线断层扫描、ptychography、深紫外和傅立叶变换红外光谱,揭示了骨细胞腔隙、周围基质和腔隙-小管网络的新的生化、化学和3D形态信息,其空间长度范围从微米到几十纳米。在这里,我们回顾了通过同步辐射成像人类和动物模型对骨细胞腔隙和腔隙-小管网络表征的最新结果,为不同的生理和病理生理情况提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New insights in osteocyte imaging by synchrotron radiation
Bone health depends on the bone mineral density and mechanical strength, characterised quantitatively and inferred through qualitative parameters such as the trabecular and cortical micro-architecture, and other parameters describing the bone cells. Among these cells, the osteocyte has been recognised as the orchestrator of bone remodelling, playing a key role in directing osteoblastic and osteoclastic activities. Conventional optical and electron microscopies have greatly improved our understanding of the cell physiology mechanisms involved in different osteoarticular pathophysiological contexts, especially osteoporosis. More recently, imaging methods exploiting synchrotron radiation, such as X-ray tomography, ptychography, and deep ultraviolet and Fourier transform infrared spectroscopies, have revealed new biochemical, chemical and 3D morphological information about the osteocyte lacuna, the surrounding matrix and the lacuna–canalicular network at spatial length scales spanning microns to tens of nanometres. Here, we review recent results in osteocyte lacuna and lacuna–canalicular network characterisation by synchrotron radiation imaging in human and animal models, contributing to new insights in different physiologic and pathophysiological situations.
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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