Department of Orthopedics and Sports Medicine, University of Washington, Seattle, Washington, United States of America.
PLoS Comput Biol. 2010 Sep 9;6(9):e1000924. doi: 10.1371/journal.pcbi.1000924.
The increasing incidence of osteoporosis worldwide requires anabolic treatments that are safe, effective, and, critically, inexpensive given the prevailing overburdened health care systems. While vigorous skeletal loading is anabolic and holds promise, deficits in mechanotransduction accrued with age markedly diminish the efficacy of readily complied, exercise-based strategies to combat osteoporosis in the elderly. Our approach to explore and counteract these age-related deficits was guided by cellular signaling patterns across hierarchical scales and by the insight that cell responses initiated during transient, rare events hold potential to exert high-fidelity control over temporally and spatially distant tissue adaptation. Here, we present an agent-based model of real-time Ca(2+)/NFAT signaling amongst bone cells that fully described periosteal bone formation induced by a wide variety of loading stimuli in young and aged animals. The model predicted age-related pathway alterations underlying the diminished bone formation at senescence, and hence identified critical deficits that were promising targets for therapy. Based upon model predictions, we implemented an in vivo intervention and show for the first time that supplementing mechanical stimuli with low-dose Cyclosporin A can completely rescue loading induced bone formation in the senescent skeleton. These pre-clinical data provide the rationale to consider this approved pharmaceutical alongside mild physical exercise as an inexpensive, yet potent therapy to augment bone mass in the elderly. Our analyses suggested that real-time cellular signaling strongly influences downstream bone adaptation to mechanical stimuli, and quantification of these otherwise inaccessible, transient events in silico yielded a novel intervention with clinical potential.
全球范围内骨质疏松症发病率的上升需要安全、有效的合成代谢治疗方法,鉴于当前医疗保健系统负担过重,关键是要价格低廉。虽然剧烈的骨骼负荷具有合成代谢作用,并具有很大的潜力,但随着年龄的增长,机械转导的缺陷明显降低了老年人对抗骨质疏松症的易于实施的基于运动的策略的效果。我们探索和抵消这些与年龄相关的缺陷的方法是通过跨层次尺度的细胞信号模式,并通过以下见解来指导的:在短暂的、罕见的事件中启动的细胞反应有可能对时间和空间上遥远的组织适应进行高精度控制。在这里,我们提出了一个基于代理的实时 Ca(2+)/NFAT 信号在骨细胞中的模型,该模型充分描述了各种加载刺激在年轻和老年动物中诱导的骨膜骨形成。该模型预测了与衰老时骨形成减少相关的与年龄相关的途径改变,并因此确定了有希望成为治疗靶点的关键缺陷。基于模型预测,我们实施了一种体内干预,并首次表明,用低剂量环孢素 A 补充机械刺激可以完全挽救衰老骨骼中的加载诱导的骨形成。这些临床前数据为考虑将这种已批准的药物与轻度体育锻炼一起作为增加老年人骨量的廉价但有效的治疗方法提供了依据。我们的分析表明,实时细胞信号强烈影响机械刺激下的下游骨适应,并且对这些在计算上无法访问的短暂事件进行定量可以产生具有临床潜力的新干预措施。