Department of Mechanical Engineering, University of Colorado Boulder, USA.
Soft Matter. 2017 Jul 19;13(28):4841-4855. doi: 10.1039/c7sm00423k.
Degradable hydrogels have been developed to provide initial mechanical support to encapsulated cells while facilitating the growth of neo-tissues. When cells are encapsulated within degradable hydrogels, the process of neo-tissue growth is complicated by the coupled phenomena of transport of large extracellular matrix macromolecules and the rate of hydrogel degradation. If hydrogel degradation is too slow, neo-tissue growth is hindered, whereas if it is too fast, complete loss of mechanical integrity can occur. Therefore, there is a need for effective modelling techniques to predict hydrogel designs based on the growth parameters of the neo-tissue. In this article, hydrolytically degradable hydrogels are investigated due to their promise in tissue engineering. A key output of the model focuses on the ability of the construct to maintain overall structural integrity as the construct transitions from a pure hydrogel to engineered neo-tissue. We show that heterogeneity in cross-link density and cell distribution is the key to this successful transition and ultimately to achieve tissue growth. Specifically, we find that optimally large regions of weak cross-linking around cells in the hydrogel and well-connected and dense cell clusters create the optimum conditions needed for neo-tissue growth while maintaining structural integrity. Experimental observations using cartilage cells encapsulated in a hydrolytically degradable hydrogel are compared with model predictions to show the potential of the proposed model.
可降解水凝胶的开发旨在为包封细胞提供初始机械支撑,同时促进新组织的生长。当细胞被包封在可降解水凝胶中时,新组织生长的过程会受到两个耦合现象的影响,即细胞外基质大分子的传输和水凝胶降解的速率。如果水凝胶降解太慢,新组织的生长会受到阻碍,而如果降解太快,机械完整性会完全丧失。因此,需要有效的建模技术来根据新组织的生长参数预测水凝胶设计。在本文中,由于其在组织工程中的应用前景,研究了可水解的水凝胶。该模型的一个关键输出是构建体在从纯水凝胶向工程化新组织转变过程中保持整体结构完整性的能力。我们表明,交联密度和细胞分布的异质性是实现这一成功转变的关键,也是实现组织生长的关键。具体来说,我们发现水凝胶中细胞周围的弱交联区域和连接良好且密集的细胞簇的最佳大小区域为新组织生长创造了最佳条件,同时保持了结构完整性。使用包封在可水解的水凝胶中的软骨细胞进行的实验观察与模型预测进行了比较,以展示所提出模型的潜力。