Bryr Mawr Family Practice, Bryn Mawr, PA 19010, USA; Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Albany Medical College, Albany, NY 12008, USA.
Bone. 2025 Jan;190:117279. doi: 10.1016/j.bone.2024.117279. Epub 2024 Oct 10.
While it is known that excessive accumulation of fatigue damage from daily activities contributes to fracture, a model of bone failure under physiologically relevant multiaxial cyclic loading needs to be developed in order to develop effective management strategies for stress or fatigue fractures. The role of strain-induced damage from repetitive loading is a strong candidate for such a model, as cycles of mechanical loading leading to failure can be measured directly. However, this approach has been limited by the restrictions of uniaxial loading models, which often overestimates the fatigue life of bone and suggests that bone will only break well beyond the realistic limits of exercise. To address this gap and develop a physiologically relevant model, our study leverages the power of four commonly used engineering failure criteria as a model for multiaxial loading using a cohort of human tibiae from cadaveric donors (age range 21-85 years old). Four failure criteria (Von Mises, Tsai-Wu, Findley critical plane, and maximum shear strain) were found to be effective in vitro models of tibial fracture when age groups of donors were combined (r > 0.84) and stratified (younger: 21-52-years-old versus older: 57-85-years-old) (r > 0.83) (p < 0.001). Each failure criterion displayed distinctly lower fatigue curves for the older age group. The maximum shear strain model was used to determine the efficacy of this approach to predict fatigue fractures in humans using published in vivo data from human volunteers. Consistent with in vivo observations in general population, the model demonstrated failure at 5000 to 200,000 loading cycles depending on activities such as jumping, sprinting, and walking, with a 3-fold reduction of fatigue life in older donors. These findings dramatically improve estimates of fatigue life under repetitive loading and demonstrate how age-related changes in bone significantly increase its propensity for fatigue-induced fractures.
虽然已知日常活动中疲劳损伤的过度积累会导致骨折,但为了制定针对应 力或疲劳性骨折的有效管理策略,需要开发一种在生理相关多轴循环加载下的骨 失效模型。重复加载引起的应变损伤在这种模型中是一个强有力的候选者,因为导 致失效的机械加载循环可以直接测量。然而,这种方法受到单轴加载模型的限制, 单轴加载模型往往高估了骨的疲劳寿命,并表明骨只有在远远超过实际运动极限的 情况下才会断裂。为了解决这一差距并开发一种生理相关的模型,我们的研究利用 了四种常用工程失效准则的力量,将其作为一种多轴加载模型,使用了来自尸检捐 献者的一组人类胫骨(年龄范围 21-85 岁)。当将捐赠者的年龄组结合(r>0.84) 和分层(年轻:21-52 岁与老年:57-85 岁)(r>0.83)(p<0.001)时,发现这四 种失效准则在体外胫骨骨折模型中均有效。每个失效准则都显示出老年组的疲劳 曲线明显较低。最大剪应变模型用于确定该方法预测人类疲劳性骨折的效果,使用 了来自人类志愿者的已发表体内数据。与一般人群的体内观察结果一致,该模型 在跳跃、短跑和步行等活动中,根据活动的不同,在 5000 到 200000 个加载循环中 失效,老年捐赠者的疲劳寿命减少了 3 倍。这些发现大大提高了重复加载下疲劳生 命的估计,并表明骨的年龄相关变化如何显著增加其疲劳性骨折的倾向。