Department of Chemical and Materials Engineering, University of Auckland, Auckland, New Zealand.
Auckland Bioengineering Institute, University of Auckland, 70 Symonds Street, Auckland, New Zealand.
Biomech Model Mechanobiol. 2020 Dec;19(6):2241-2253. doi: 10.1007/s10237-020-01336-1. Epub 2020 May 14.
The extracellular matrix (ECM) comprises a large proportion of the lung parenchymal tissue and is an important contributor to the mechanical properties of the lung. The lung tissue is a biologically active scaffold with a complex ECM matrix structure and composition that provides physical support to the surrounding cells. Nearly all respiratory pathologies result in changes in the structure and composition of the ECM; however, the impact of these alterations on the mechanical properties of the tissue is not well understood. In this study, a novel network model was developed to incorporate the combinatorial effect of lung tissue ECM constituents such as collagen, elastin and proteoglycans (PGs) and used to mimic the experimentally derived length-tension response of the tissue to uniaxial loading. By modelling the effect of collagen elasticity as an exponential function with strain, and in concert with the linear elastic response of elastin, the network model's mechanical response matched experimental stress-strain curves from the literature. In addition, by incorporating spring-dashpot viscoelastic elements, to represent the PGs, the hysteresis response was also simulated. Finally, by selectively reducing volume fractions of the different ECM constituents, we were able to gain insight into their relative mechanical contribution to the larger scale tissue mechanical response.
细胞外基质(ECM)构成了肺实质组织的很大一部分,是肺部机械特性的重要贡献者。肺组织是一种具有复杂 ECM 基质结构和组成的生物活性支架,为周围细胞提供物理支撑。几乎所有的呼吸道疾病都会导致 ECM 结构和组成的变化;然而,这些改变对组织机械性能的影响还不是很清楚。在这项研究中,开发了一种新的网络模型,以纳入肺组织 ECM 成分(如胶原蛋白、弹性蛋白和蛋白聚糖(PGs))的组合效应,并用于模拟组织在单轴加载下的实验得出的长度-张力响应。通过将胶原蛋白弹性的影响建模为应变的指数函数,并与弹性蛋白的线性弹性响应协同作用,网络模型的机械响应与文献中实验得出的应力-应变曲线相匹配。此外,通过引入弹簧-阻尼粘弹性元件来代表 PGs,还模拟了滞后响应。最后,通过选择性地降低不同 ECM 成分的体积分数,我们能够深入了解它们对更大规模组织机械响应的相对机械贡献。