Optimization of bone growth and remodeling in response to loading in tapered mammalian limbs

骨重建 胫骨 皮质骨 后肢 解剖 少年 骨生长 生物力学 生物 内分泌学 遗传学
作者
Daniel E. Lieberman,Osbjorn M. Pearson,John D. Polk,Brigitte Demes,A. W. Crompton
出处
期刊:The Journal of Experimental Biology [The Company of Biologists]
卷期号:206 (18): 3125-3138 被引量:207
标识
DOI:10.1242/jeb.00514
摘要

SUMMARY How bones respond dynamically to mechanical loading through changes in shape and structure is poorly understood, particularly with respect to variations between bones. Structurally, cortical bones adapt in vivoto their mechanical environments primarily by modulating two processes,modeling and Haversian remodeling. Modeling, defined here as the addition of new bone, may occur in response to mechanical stimuli by altering bone shape or size through growth. Haversian remodeling is thought to be an adaptation to repair microcracks or prevent microcrack propagation. Here, we examine whether cortical bone in sheep limbs modulates periosteal modeling and Haversian remodeling to optimize strength relative to mass in hind-limb midshafts in response to moderate levels of exercise at different growth stages. Histomorphometry was used to compare rates of periosteal growth and Haversian remodeling in exercised and sedentary treatment groups of juvenile, subadult and young adult sheep. In vivo strain data were also collected for the tibia and metatarsal midshafts of juvenile sheep. The results suggest that limb bones initially optimize responses to loading according to the varying power requirements associated with adding mass at different locations. In juveniles, exercise induces higher rates of periosteal modeling in proximal midshafts and higher rates of Haversian remodeling in distal midshafts. Consequently, distal element midshafts experience higher strains and,presumably, have lower safety factors. As animals age, periosteal modeling rates decline and Haversian remodeling rates increase, but moderate levels of mechanical loading stimulate neither process significantly.
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