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High-precision method for cyclic loading of small-animal vertebrae to assess bone quality

机译:小动物椎骨循环负荷的高精度评估骨质量的方法

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摘要

One potentially important bone quality characteristic is the response of bone to cyclic (repetitive) mechanical loading. In small animals, such as in rats and mice, cyclic loading experiments are particularly challenging to perform in a precise manner due to the small size of the bones and difficult-to-eliminate machine compliance. Addressing this issue, we developed a precise method for ex vivo cyclic compressive loading of isolated mouse vertebral bodies. The method has three key characteristics: 3D-printed support jigs for machining plano-parallel surfaces of the tiny vertebrae; pivotable loading platens to ensure uniform contact and loading of specimen surfaces; and specimen-specific micro-CT-based finite element analysis to measure stiffness to prescribe force levels that produce the same specified level of strain for all test specimens. To demonstrate utility, we measured fatigue life for three groups (n = 5–6 per group) of L5 vertebrae of C57BL/6J male mice, comparing our new method against two methods commonly used in the literature. We found reduced scatter of the mechanical behavior for this new method compared to the literature methods. In particular, for a controlled level of strain, the standard deviation of the measured fatigue life was up to 5-fold lower for the new method (F-ratio = 4.9; p < 0.01). The improved precision for this new method for biomechanical testing of small-animal vertebrae may help elucidate aspects of bone quality.
机译:潜在的重要骨骼质量特征是骨骼对周期性(重复)机械负荷的响应。在小型动物中(例如在大鼠和小鼠中),由于骨骼尺寸小且难以消除机器顺应性,因此以精确的方式进行循环加载实验尤其具有挑战性。为解决此问题,我们开发了一种精确的方法来对离体的小鼠椎体进行离体循环压缩加载。该方法具有三个关键特征:3D打印的支撑夹具,用于加工微小椎骨的平面平行表面;可旋转的加载台板,以确保样品表面的均匀接触和加载;以及基于样本的基于微CT的有限元分析来测量刚度,以规定对所有测试样本产生相同指定应变水平的力水平。为了证明其实用性,我们将C57BL / 6J雄性小鼠的L5椎骨三组(每组n == 5-6)的疲劳寿命进行了测量,将我们的新方法与文献中常用的两种方法进行了比较。与文献方法相比,我们发现此新方法的机械行为散布减少了。特别是在控制应变水平的情况下,新方法测得的疲劳寿命的标准偏差降低了5倍(F比率== 4.9; p = <0.01)。这种用于小动物椎骨生物力学测试的新方法的精度提高,可能有助于阐明骨骼质量的各个方面。

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