组织工程策略中支架结构、材料和载荷对细胞微机械环境的影响

Mitchell I Page, P. Linde, C. Puttlitz
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引用次数: 0

摘要

在组织工程(TE)策略中,细胞过程由机械刺激调节。尽管TE支架已被开发用于复制组织水平的力学性能,但在实验上无法测量和规定这些结构中产生的细胞微力学环境(CME)。因此,本研究旨在通过使用有限元方法模拟TE支架中的CME来填补这一认识的不足。一种纤维蛋白水凝胶基质复合纤维支架用于纤维环修复的重复单元被规定了一系列的载荷、材料和结构参数。预测CME,并根据先前假设的标准预测相应的细胞表型。支架多轴载荷被证明是最相关的参数,有助于满足CME标准。具体来说,径向压缩与双轴张力导致再生66.5%的细胞体积的预测。此外,建筑尺度对CME的影响适中,支架的组织级特性变化最小。所有其他考虑的支架材料和结构对通过改变支架载荷预测再生的影响都是次要的。通过预测不同支架设计的再生潜力,本研究中描述的开发的高保真计算工具能够更全面地理解组织水平和细胞水平力学之间的关系,从而广泛应用于组织工程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Scaffold Architecture, Materials, and Loading on Cellular Micromechanical Environment in Tissue Engineering Strategies
In tissue engineering (TE) strategies, cell processes are regulated by mechanical stimuli. Although TE scaffolds have been developed to replicate tissue-level mechanical properties, it is experimentally prohibitive to measure and prescribe the cellular micromechanical environment (CME) generated within these constructs. Accordingly, this study aimed to fill this lack of understanding by modelling the CME in TE scaffolds using the finite element method. A repeating unit of composite fiber scaffold for annulus fibrosus repair with a fibrin hydrogel matrix was prescribed a series of loading, material, and architectural parameters. The CME was predicted and the corresponding cell phenotypes were predicted based on previously hypothesized criteria. Scaffold multi-axial loading was demonstrated as the most pertinent parameter contributing to the CME criteria being satisfied. Specifically, radial-direction compression with biaxial tension lead to a prediction of regeneration for 66.5% of the cell volumes. Additionally, the architectural scale had a moderate influence on the CME with minimal change in the tissue-level properties of the scaffold. All other scaffold materials and architectures considered had secondary influences on the predicted regeneration by modifying the scaffold loading. By predicting the regeneration potential of different scaffold designs, the developed high-fidelity computational tool described in this study enables for a more comprehensive understanding of the relationship between tissue-level and cell-level mechanics for a broad range of tissue engineering applications.
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