Department of Biomedical Engineering, Lund University, Lund, Sweden.
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
PLoS Comput Biol. 2021 Feb 8;17(2):e1008636. doi: 10.1371/journal.pcbi.1008636. eCollection 2021 Feb.
Mechano-regulation during tendon healing, i.e. the relationship between mechanical stimuli and cellular response, has received more attention recently. However, the basic mechanobiological mechanisms governing tendon healing after a rupture are still not well-understood. Literature has reported spatial and temporal variations in the healing of ruptured tendon tissue. In this study, we explored a computational modeling approach to describe tendon healing. In particular, a novel 3D mechano-regulatory framework was developed to investigate spatio-temporal evolution of collagen content and orientation, and temporal evolution of tendon stiffness during early tendon healing. Based on an extensive literature search, two possible relationships were proposed to connect levels of mechanical stimuli to collagen production. Since literature remains unclear on strain-dependent collagen production at high levels of strain, the two investigated production laws explored the presence or absence of collagen production upon non-physiologically high levels of strain (>15%). Implementation in a finite element framework, pointed to large spatial variations in strain magnitudes within the callus tissue, which resulted in predictions of distinct spatial distributions of collagen over time. The simulations showed that the magnitude of strain was highest in the tendon core along the central axis, and decreased towards the outer periphery. Consequently, decreased levels of collagen production for high levels of tensile strain were shown to accurately predict the experimentally observed delayed collagen production in the tendon core. In addition, our healing framework predicted evolution of collagen orientation towards alignment with the tendon axis and the overall predicted tendon stiffness agreed well with experimental data. In this study, we explored the capability of a numerical model to describe spatial and temporal variations in tendon healing and we identified that understanding mechano-regulated collagen production can play a key role in explaining heterogeneities observed during tendon healing.
肌腱愈合过程中的力学调控,即力学刺激与细胞反应之间的关系,最近受到了更多关注。然而,肌腱断裂后愈合的基本力学生物学机制仍未得到很好的理解。文献报道了断裂的肌腱组织在愈合过程中的时空变化。在本研究中,我们探索了一种用于描述肌腱愈合的计算建模方法。具体来说,我们开发了一种新颖的 3D 力学调控框架,以研究胶原含量和取向的时空演化,以及早期肌腱愈合过程中肌腱刚度的时间演化。基于广泛的文献检索,提出了两种可能的关系,将力学刺激水平与胶原生成联系起来。由于文献对于高应变水平下应变依赖性胶原生成仍不明确,因此研究的两种生成规律探索了在非生理高应变水平(>15%)下胶原生成的存在或不存在。在有限元框架中的实现表明,在愈伤组织内应变幅度存在较大的空间变化,导致胶原在时间上的分布存在明显差异。模拟结果表明,在沿中央轴的肌腱核心内应变幅度最大,并向外部边缘逐渐减小。因此,对于高拉伸应变的高水平应变,胶原生成减少可以准确预测在肌腱核心中观察到的胶原生成延迟。此外,我们的愈合框架预测了胶原取向向与肌腱轴对齐的演化,以及整体预测的肌腱刚度与实验数据吻合良好。在本研究中,我们探索了数值模型描述肌腱愈合时空变化的能力,并确定了理解力学调控的胶原生成在解释肌腱愈合过程中观察到的异质性方面可以发挥关键作用。