Equine Centre, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, VIC, 3030, Australia.
School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Biomech Model Mechanobiol. 2018 Jun;17(3):877-890. doi: 10.1007/s10237-017-0998-z. Epub 2018 Jan 17.
In Thoroughbred racehorses, fractures of the distal limb are commonly catastrophic. Most of these fractures occur due to the accumulation of fatigue damage from repetitive loading, as evidenced by microdamage at the predilection sites for fracture. Adaptation of the bone in response to training loads is important for fatigue resistance. In order to better understand the mechanism of subchondral bone adaptation to its loading environment, we utilised a square root function defining the relationship between bone volume fraction [Formula: see text] and specific surface [Formula: see text] of the subchondral bone of the lateral condyles of the third metacarpal bone (MCIII) of the racehorse, and using this equation, developed a mathematical model of subchondral bone that adapts to loading conditions observed in vivo. The model is expressed as an ordinary differential equation incorporating a formation rate that is dependent on strain energy density. The loading conditions applied to a selected subchondral region, i.e. volume of interest, were estimated based on joint contact forces sustained by racehorses in training. For each of the initial conditions of [Formula: see text] we found no difference between subsequent homoeostatic [Formula: see text] at any given loading condition, but the time to reach equilibrium differed by initial [Formula: see text] and loading condition. We found that the observed values for [Formula: see text] from the mathematical model output were a good approximation to the existing data for racehorses in training or at rest. This model provides the basis for understanding the effect of changes to training strategies that may reduce the risk of racehorse injury.
在纯种赛马中,四肢骨折通常是灾难性的。这些骨折大多数是由于重复加载导致的疲劳损伤积累所致,这可以从骨折易发生部位的微损伤得到证明。骨骼对训练负荷的适应对于抗疲劳很重要。为了更好地理解骨对其负荷环境的适应机制,我们利用方根函数来定义第三掌骨(MCIII)外侧髁软骨下骨的骨体积分数 [Formula: see text]和比表面积 [Formula: see text]之间的关系,并利用该方程,建立了一种适应体内观察到的骨负荷条件的软骨下骨数学模型。该模型是一个常微分方程,其形成率取决于应变能密度。基于训练中赛马承受的关节接触力,我们对选定的软骨下区域(即感兴趣区域)的负荷条件进行了估计。对于 [Formula: see text]的初始条件中的每一个,我们发现,在任何给定的负荷条件下,随后的同源 [Formula: see text]之间没有差异,但达到平衡的时间因初始 [Formula: see text]和负荷条件而异。我们发现,从数学模型输出中观察到的 [Formula: see text]值与训练或休息中的赛马的现有数据非常吻合。该模型为理解可能降低赛马受伤风险的训练策略变化的影响提供了基础。