Florea Cristina, Tanska Petri, Mononen Mika E, Qu Chengjuan, Lammi Mikko J, Laasanen Mikko S, Korhonen Rami K
Department of Applied Physics, University of Eastern Finland, POB 1627, 70211, Kuopio, Finland.
Department of Integrative Medical Biology, Umeå University, POB 843, 90187, Umeå, Sweden.
Biomech Model Mechanobiol. 2017 Feb;16(1):297-311. doi: 10.1007/s10237-016-0817-y. Epub 2016 Aug 23.
Cellular responses to mechanical stimuli are influenced by the mechanical properties of cells and the surrounding tissue matrix. Cells exhibit viscoelastic behavior in response to an applied stress. This has been attributed to fluid flow-dependent and flow-independent mechanisms. However, the particular mechanism that controls the local time-dependent behavior of cells is unknown. Here, a combined approach of experimental AFM nanoindentation with computational modeling is proposed, taking into account complex material behavior. Three constitutive models (porohyperelastic, viscohyperelastic, poroviscohyperelastic) in tandem with optimization algorithms were employed to capture the experimental stress relaxation data of chondrocytes at 5 % strain. The poroviscohyperelastic models with and without fluid flow allowed through the cell membrane provided excellent description of the experimental time-dependent cell responses (normalized mean squared error (NMSE) of 0.003 between the model and experiments). The viscohyperelastic model without fluid could not follow the entire experimental data that well (NMSE = 0.005), while the porohyperelastic model could not capture it at all (NMSE = 0.383). We also show by parametric analysis that the fluid flow has a small, but essential effect on the loading phase and short-term cell relaxation response, while the solid viscoelasticity controls the longer-term responses. We suggest that the local time-dependent cell mechanical response is determined by the combined effects of intrinsic viscoelasticity of the cytoskeleton and fluid flow redistribution in the cells, although the contribution of fluid flow is smaller when using a nanosized probe and moderate indentation rate. The present approach provides new insights into viscoelastic responses of chondrocytes, important for further understanding cell mechanobiological mechanisms in health and disease.
细胞对机械刺激的反应受细胞和周围组织基质的机械性能影响。细胞在受到施加的应力时表现出粘弹性行为。这归因于流体流动依赖性和非流动依赖性机制。然而,控制细胞局部时间依赖性行为的具体机制尚不清楚。在此,提出了一种结合实验原子力显微镜纳米压痕与计算建模的方法,考虑了复杂的材料行为。采用三种本构模型(多孔超弹性、粘弹性超弹性、多孔粘弹性超弹性)与优化算法相结合,以捕捉软骨细胞在5%应变下的实验应力松弛数据。允许流体通过细胞膜的多孔粘弹性超弹性模型和不允许流体通过的多孔粘弹性超弹性模型都能很好地描述实验中细胞的时间依赖性反应(模型与实验之间的归一化均方误差(NMSE)为0.003)。没有流体的粘弹性超弹性模型不能很好地拟合整个实验数据(NMSE = 0.005),而多孔超弹性模型则完全无法捕捉(NMSE = 0.383)。我们还通过参数分析表明,流体流动对加载阶段和短期细胞松弛反应有微小但重要的影响,而固体粘弹性控制长期反应。我们认为,细胞局部时间依赖性机械反应是由细胞骨架的固有粘弹性和细胞内流体流动重新分布的综合作用决定的,尽管在使用纳米尺寸探针和中等压痕速率时流体流动的贡献较小。本方法为软骨细胞的粘弹性反应提供了新的见解,这对于进一步理解健康和疾病中的细胞力学生物学机制很重要。