主动脉平滑肌细胞的刚度感知:肌动蛋白作用的连续力学模型

Ali-Akbar Karkhaneh Yousefi, C. Petit, V. A. A. Santamaría
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引用次数: 0

摘要

平滑肌细胞(SMCs)通过感知和响应机械刺激,在维持主动脉内稳态中发挥重要作用。然而,SMCs感知和响应环境中硬度变化的机制仍然部分不清楚。在这项研究中,我们关注肌动蛋白收缩性在刚度感知中的作用,并介绍了一种基于热应变原理的连续介质力学方法。每个应力纤维都满足由杨氏模量、虚拟热应变的收缩系数、最大收缩应力和描述最薄弱环节滑动效应的软化参数驱动的通用应力-应变关系。为了解释细胞反应的内在可变性,采用有限元方法对大量smc进行建模,每个细胞具有随机数量和随机排列的应力纤维。此外,各应力纤维的肌球蛋白激活水平满足威布尔概率密度函数。将模型预测结果与不同SMC谱系的牵引力测量结果进行了比较。结果表明,该模型不仅可以很好地预测基质刚度对细胞牵引力的影响,而且可以成功地近似细胞间变异性引起的细胞牵引力的统计变化。最后,用该模型计算了核膜和细胞核中的应力,结果表明,由底物刚度引起的细胞骨架力的变化直接引起核膜和细胞核的变形,这可能会改变基因表达。该模型的可预测性与相对简单性相结合,为进一步研究多细胞三维环境中的刚度传感提供了有希望的资产。最终,这可能有助于破译机械敏感性损伤的影响,这是已知的主动脉瘤的根源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stiffness Sensing by Aortic Smooth Muscle Cells: Continuum Mechanics Modeling of the Acto-Myosin Role
Smooth Muscle Cells (SMCs) play a vital role in maintaining homeostasis in the aorta by sensing and responding to mechanical stimuli. However, the mechanisms that underlie the ability of SMCs to sense and respond to stiffness change in their environment are still partially unclear. In this study, we focus on the role of acto-myosin contractility in stiffness sensing and introduce a novel continuum mechanics approach based on the principles of thermal strains. Each stress fiber satisfies a universal stress-strain relationship driven by a Young’s modulus, a contraction coefficient scaling the fictitious thermal strain, a maximum contraction stress and a softening parameter describing slipping effects at the weakest links. To account for the inherent variability of cellular responses, large populations of SMCs are modeled with the finite-element method, each cell having a random number and a random arrangement of stress fibers. Moreover, the level of myosin activation in each stress fiber satisfies a Weibull probability density function. Model predictions are compared to traction force measurements on different SMC lineages. It is demonstrated that the model not only predicts well the effects of substrate stiffness on cellular traction, but it can also successfully approximate the statistical variations of cellular tractions induced by intercellular variability. Finally, stresses in the nuclear envelope and in the nucleus are computed with the model, showing that the variations of cytoskeletal forces induced by substrate stiffness directly induce deformations of the nuclear envelope and of the nucleus, which can potentially alter gene expression. The predictability of the model combined to its relative simplicity are promising assets for further investigation of stiffness sensing in multicellular 3D environments. Eventually, this could contribute to decipher the effects of mechanosensitivity impairment, which are known to be at the root of aortic aneurysms.
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