Suppr超能文献

骨骼对静息植入负荷适应性的计算机模拟:以应变能密度与流体流动作为刺激因素

In silico modeling of bone adaptation to rest-inserted loading: Strain energy density versus fluid flow as stimulus.

作者信息

Tiwari Abhishek Kumar, Kumar Rakesh, Tripathi Dharmendra, Badhyal Subham

机构信息

Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan 303007, India.

Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan 303007, India.

出版信息

J Theor Biol. 2018 Jun 7;446:110-127. doi: 10.1016/j.jtbi.2018.03.009. Epub 2018 Mar 10.

Abstract

In vivo studies suggest that cyclic and low-magnitude loading can be useful over pharmaceutical drugs in normalizing bone loss as it encourages osteogenesis (i.e. new bone formation) at the sites of elevated strain magnitude. In silico models assumed normal strain or strain energy density (SED) as the stimulus to predict loading-induced osteogenesis, however, these models may have limited success in fitting the in vivo new bone formation at several instances. For example, rest-inserted cyclic loading amplifies the new bone formation as compared to continuous-cyclic loading even though similar strain magnitude were induced in both the cases. It is also believed that loading-induced interstitial fluid flow can also be a potential stimulus of osteogenesis. The present study hypothesizes that fluid motion as osteogenic stimulus may explain the afore-mentioned anomalies. Accordingly, this work studies osteogenesis as functions of SED and canalicular fluid motion using an in silico model. Therefore, the new bone formation is considered roughly proportional to stimuli above their osteogenic thresholds. This model attempts to simulate in vivo new bone formation noticed in rest-inserted cantilever loading studies. The model's prediction of site-specific new bone formation improves when fluid flow is considered as the stimulus. It is also noticed that fluid motion as the stimulus closely fits the new bone formation for another in vivo study where the effects of aging on osteogenesis were examined. These attempts to establish fluid flow as a potential osteogenic stimulus can be useful in the prediction of site-specific new bone formation. The findings will ultimately be useful in designing biomechanical interventions such as prophylactic exercises to cure bone loss.

摘要

体内研究表明,周期性低强度负荷在使骨质流失正常化方面可能比药物更有效,因为它能促进应变幅度升高部位的骨生成(即新骨形成)。计算机模拟模型假定正常应变或应变能密度(SED)为刺激因素来预测负荷诱导的骨生成,然而,这些模型在某些情况下拟合体内新骨形成时可能效果有限。例如,与连续循环负荷相比,间歇插入式循环负荷能增强新骨形成,尽管两种情况下诱导的应变幅度相似。人们还认为,负荷诱导的组织液流动也可能是骨生成的潜在刺激因素。本研究假设,作为骨生成刺激因素的流体运动可以解释上述异常现象。因此,这项工作使用计算机模拟模型研究了作为SED和骨小管内流体运动函数的骨生成。因此,新骨形成大致被认为与高于其骨生成阈值的刺激因素成正比。该模型试图模拟间歇插入式悬臂梁负荷研究中观察到的体内新骨形成。当将流体流动视为刺激因素时,该模型对特定部位新骨形成的预测得到改善。还注意到,在另一项研究衰老对骨生成影响的体内研究中,将流体运动作为刺激因素能很好地拟合新骨形成。这些将流体流动确立为潜在骨生成刺激因素的尝试,可能有助于预测特定部位的新骨形成。这些发现最终将有助于设计生物力学干预措施,如预防性运动,以治疗骨质流失。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验