In-silico modeling of the micromechanics of fibrous scaffolds and stiffness sensing by cells

Abstract: Mechanical properties of the tissue engineering scaffolds are known to play a crucial role in tissue regeneration. Here, we have utilized discrete network and finite element models to study fibrous scaffold mechanics and its dependence on structure. We have considered two loading conditions, first, uniaxial elongation (macroscopic), and second, localized cellular forces (microscopic). Using these two scenarios, we have tried to establish a link between scaffold micromechanics and its macroscopic mechanical properties. We have demonstrated that the macroscopic elastic modulus of fibrous scaffold is dependent on the sample shape, size and the degree of fiber fusion. Under microscopic loading conditions the deformation of the fibrous scaffolds is anisotropic with an orientation dependent decay with distance. Further, we explored the stiffness sensing under the conditions of fixed stress or fixed strain application by the cells. With fixed strain, we found that the stiffness sensed by a cell is proportional to scaffold's macroscopic Young's modulus. However, for fixed stress application, it also depends on cell's elasticity with stiffness experienced by stiff and soft cells differing by an order of magnitude. The analyses demonstrate that there exists a gap between mechanical properties of the fibrous scaffolds as measured from the macroscopic testings and those sensed by the cells. This warrants a need for extreme care during the designing and reporting of experiments involving cell-scaffold interactions. The insights from this work will help in the designing of tissue engineering scaffolds for applications where mechanical stimuli are a critical factor