研究机械信号与骨适应之间的关系

Chenlu Wang, Ruisen Fu, Haisheng Yang
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引用次数: 0

摘要

骨骼根据机械环境进行适应,这种适应可以通过改变其形状、大小和微结构来可视化。骨适应早在一个多世纪前就已被认识到,并在《骨重塑法则》中进行了描述。此外,“the Mechanostat”的概念模型提供了骨组织变形(应变)大小与骨适应性反应之间的定量关系。然而,在保持恒定应变量级的情况下,在不同的加载参数(例如,频率、速率、加载周期数、rest插入和波形)下,实验观察到不同的骨响应。然而,机械信号和骨适应之间的确切关系仍不清楚。因此,我们回顾了体内加载研究,以确定各种动物加载模型中各种机械信号与骨适应反应之间的定量关系。此外,我们探讨了这些关系如何受到病理生理因素的影响,如年龄、性别和雌激素缺乏。此外,还讨论了考虑细胞力学微环境来解释这些定量关系的机制研究。提出了一个考虑骨自适应响应作为不同载荷参数函数的通用公式。这一综述可以提高我们对骨适应的认识,并为临床医生开发有效的机械疗法来预防骨质流失提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Toward a clear relationship between mechanical signals and bone adaptation

Toward a clear relationship between mechanical signals and bone adaptation
Bone adapts according to the mechanical environment, and this adaptation can be visualized by altering its shape, size, and microarchitecture. Bone adaptation was recognized more than a century ago, with a description presented in The Law of Bone Remodeling. Furthermore, the conceptual model of “The Mechanostat” provides a quantitative relationship between the magnitude of bone tissue deformation (strain) and bone adaptive responses. However, upon maintaining a constant strain magnitude, various bone responses were observed experimentally under different loading parameters (e.g., frequency, rate, number of load cycles, rest insertion, and waveform). Nevertheless, the precise relationship between mechanical signals and bone adaptation remains unclear. Accordingly, we reviewed in vivo loading studies to determine the quantitative relationships between various mechanical signals and bone adaptive responses in various animal loading models. Additionally, we explored how these relationships are influenced by pathophysiological factors, such as age, sex, and estrogen deficiency. Moreover, mechanistic studies that consider cellular mechanical microenvironments to explain these quantitative relationships are discussed. A general formula that considers the bone adaptive response as a function of different loading parameters was proposed. This review may enhance our understanding of bone adaptation and offer guidance for clinicians to develop effective mechanotherapies to prevent bone loss.
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