Ascolani Gianluca, Skerry Timothy M, Lacroix Damien, Dall'Ara Enrico, Shuaib Aban
Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK.
Insigneo Institute of In Silico Medicine, University of Sheffield, Sheffield, UK.
Interface Focus. 2021 Feb 6;11(1):20190136. doi: 10.1098/rsfs.2019.0136. Epub 2020 Dec 11.
Osteoporosis is a bone disease characterized by brittle bone and increased fracture incidence. With ageing societies worldwide, the disease presents a high burden on health systems. Furthermore, there are limited treatments for osteoporosis with just two anabolic pharmacological agents approved by the US Food and Drug Administration. Healthy bones are believed to be maintained via an intricate relationship between dual biochemical and mechanical (bio-mechanical) stimulations. It is widely considered that osteoporosis emerges as a result of disturbances to said relationship. The mechanotransduction process is key to this balance, and disruption of its dynamics in bone cells plays a role in osteoporosis development. Nonetheless, the exact details and mechanisms that drive and secure the health of bones are still elusive at the cellular and molecular scales. This study examined the dual modulation of mechanical stimulation and mechanotransduction activation dynamics in an osteoblast (OB). The aim was to find patterns of mechanotransduction dynamics demonstrating a significant change that can be mapped to alterations in the OB responses, specifically at the level of gene expression and osteogenic markers such as alkaline phosphatase. This was achieved using a three-dimensional hybrid multiscale computational model simulating mechanotransduction in the OB and its interaction with the extracellular matrix, combined with a numerical analytical technique. The model and the analysis method predict that within the noise of mechanotransduction, owing to modulation of the bio-mechanical stimulus and consequent gene expression, there are unique events that provide signatures for a shift in the system's dynamics. Furthermore, the study uncovered molecular interactions that can be potential drug targets.
骨质疏松症是一种以骨骼脆弱和骨折发生率增加为特征的骨病。随着全球社会老龄化,这种疾病给卫生系统带来了沉重负担。此外,骨质疏松症的治疗方法有限,美国食品药品监督管理局仅批准了两种促合成代谢药物。健康的骨骼被认为是通过双重生化刺激和机械(生物力学)刺激之间的复杂关系来维持的。人们普遍认为,骨质疏松症是由于这种关系受到干扰而出现的。机械转导过程是这种平衡的关键,其在骨细胞中的动力学破坏在骨质疏松症的发展中起作用。尽管如此,在细胞和分子水平上,驱动和确保骨骼健康的确切细节和机制仍然难以捉摸。本研究考察了成骨细胞(OB)中机械刺激和机械转导激活动力学的双重调节。目的是找到机械转导动力学的模式,这些模式显示出显著变化,可映射到OB反应的改变,特别是在基因表达水平和成骨标志物如碱性磷酸酶方面。这是通过使用三维混合多尺度计算模型来实现的,该模型模拟了OB中的机械转导及其与细胞外基质的相互作用,并结合了数值分析技术。该模型和分析方法预测,在机械转导的噪声范围内,由于生物力学刺激的调节和随之而来的基因表达,存在独特的事件,这些事件为系统动力学的转变提供了特征。此外,该研究还发现了可能成为潜在药物靶点的分子相互作用。