Biomechanical analysis of an osteocyte model by considering bone matrix’s piezoelectricity

IF 3.8 2区 工程技术 Q1 ENGINEERING, MECHANICAL
Xiyu Wang  (, ), Zhengbiao Yang  (, ), Yanru Xue  (, ), Yixian Qin  (, ), Meng Zhang  (, ), Jing Chen  (, ), Pengcui Li  (, ), Xiaochun Wei  (, ), Haoyu Feng  (, ), Liming He  (, ), Yanqin Wang  (, ), Xiaogang Wu  (, ), Weiyi Chen  (, )
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Abstract

Osteocytes, the primary cells in bone, play a crucial role in sensing external load environments and regulating other bone cells. Due to the piezoelectric effect of the mineralized matrix and collagen that make up bone, the mechanical stimulus received is converted into an electrical stimulus to affect the reconstruction of bone. Despite the importance of osteocyte, many studies have focused on the mechanical loading and fluid flow of it, there is still a gap in the study of the piezoelectric effects of various mechanosensors on the microscale. In this paper, we developed a finite element model of osteocytes that incorporates the piezoelectric bone matrix. This model is comprehensive, comprising the osteocyte cell body enclosed by lacuna, osteocyte processes enclosed by canaliculi, and the interposed charged ionic fluid. Additionally, it features mechanosensors such as collagen hillocks and primary cilia. In our study, we subjected the piezoelectric bone matrix model to triaxial displacement, subsequently assessing the electrical signal variations across different mechanosensors within the osteocyte. The observed disparities in mechanical perception by various mechanosensors were primarily attributable to greater liquid velocity changes in the polarization direction as opposed to other directions. Collagen hillocks showed insensitivity to piezoelectric signals, serving predominantly to mechanically transmit signals through solid-to-solid contact. In contrast, processes and primary cilia were highly responsive to piezoelectric signals. Interestingly, the processes oriented in the direction of the electric field demonstrated a differential piezoelectric signal perception compared to those in other directions. Primary cilia were especially sensitive to fluid flow pressure changes, which were influenced both by loading rates and external piezoelectric effects. Overall, our findings illuminate the complexity of mechanical perception within osteocytes in a piezoelectric environment. This adds a new dimension to our understanding and suggests avenues for future research in bone reconstruction and cellular mechanical behavioral transmission.

通过考虑骨基质的压电性对骨细胞模型进行生物力学分析
骨细胞是骨骼中的初级细胞,在感知外部负载环境和调节其他骨细胞方面发挥着至关重要的作用。由于构成骨骼的矿化基质和胶原蛋白具有压电效应,接收到的机械刺激会转化为电刺激,从而影响骨骼的重建。尽管骨细胞非常重要,许多研究都集中在其机械加载和流体流动方面,但在微尺度上研究各种机械传感器的压电效应仍是空白。在本文中,我们建立了一个包含压电骨基质的骨细胞有限元模型。该模型非常全面,包括由裂隙围成的骨细胞体、由管腔围成的骨细胞过程以及内含电荷的离子液体。此外,它还具有胶原丘和初级纤毛等机械传感器。在我们的研究中,我们对压电骨基质模型进行了三轴位移,随后评估了骨细胞内不同机械传感器的电信号变化。观察到的不同机械传感器的机械感知差异主要归因于极化方向的液体速度变化大于其他方向。胶原丘对压电信号不敏感,主要通过固-固接触进行机械信号传递。与此相反,过程和初级纤毛对压电信号高度敏感。有趣的是,与其他方向的纤毛相比,电场方向的纤毛对压电信号的感知不同。初级纤毛对流体流动压力的变化尤其敏感,这种变化同时受到加载速率和外部压电效应的影响。总之,我们的发现揭示了压电环境下骨细胞内机械感知的复杂性。这为我们的理解增添了新的维度,并为未来的骨重建和细胞机械行为传输研究提供了途径。
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
Acta Mechanica Sinica
Acta Mechanica Sinica 物理-工程:机械
CiteScore
5.60
自引率
20.00%
发文量
1807
审稿时长
4 months
期刊介绍: Acta Mechanica Sinica, sponsored by the Chinese Society of Theoretical and Applied Mechanics, promotes scientific exchanges and collaboration among Chinese scientists in China and abroad. It features high quality, original papers in all aspects of mechanics and mechanical sciences. Not only does the journal explore the classical subdivisions of theoretical and applied mechanics such as solid and fluid mechanics, it also explores recently emerging areas such as biomechanics and nanomechanics. In addition, the journal investigates analytical, computational, and experimental progresses in all areas of mechanics. Lastly, it encourages research in interdisciplinary subjects, serving as a bridge between mechanics and other branches of engineering and the sciences. In addition to research papers, Acta Mechanica Sinica publishes reviews, notes, experimental techniques, scientific events, and other special topics of interest. Related subjects » Classical Continuum Physics - Computational Intelligence and Complexity - Mechanics
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