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A 3D computational model of perfusion seeding for investigating cell transport and adhesion within a porous scaffold

机译:用于研究多孔支架内的细胞传输和粘附性的灌注种子的3D计算模型

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The process of cell seeding within a porous scaffold is an essential first step in the development of tissue-engineered bone grafts. Understanding the underlying mechanisms of cell distribution and adhesion is fundamental for the design and optimization of the seeding process. To that end, we present a numerical model to investigate the perfusion cell seeding process that incorporates cell mechanics, cell-fluid interaction, and cell-scaffold adhesion. The individual cells are modeled as deformable spherical capsules capable of adhering to the scaffold surface as well as to other cells with probabilistic bond formation and rupture. The mechanical deformation of the cell is calibrated with the stretching of mice mesenchymal stem cells induced by optical tweezers, while the predicted adhesive forces are consistent with the experimental data reported in the literature. A sub-domain is numerically reconstructed as the region of interest (ROI) which is representative of an actual scaffold. Through the simulations, the perfusion seeding kinetics within the ROI involving detailed transport and adhesion of cells over time is analyzed. The effects of the perfusion pressure and initial cell concentration on the seeding kinetics are studied in terms of adhesion rates, cell cluster formation, seeding uniformity, and efficiency, as well as scaffold permeability. The results highlight the importance of cell-fluid interaction and adhesion dynamics in modeling the dynamic seeding process. This bottom-up model provides a way to bridge detailed behaviors of individual cells to the seeding outcomes at the macroscopic scale, allowing for finding the best configuration to enhance cell seeding.
机译:在多孔支架内的细胞播种方法是组织工程骨移植物的发展中的主要第一步。了解细胞分布和粘附性的潜在机制是播种过程的设计和优化的基础。为此,我们介绍了一种数值模型,以研究包含细胞力学,细胞流体相互作用和细胞支架粘附的灌注细胞播种方法。个体细胞被建模为能够粘附到支架表面以及具有概率粘合形成和破裂的其他细胞的可变形球形胶囊。通过光学镊子诱导的小鼠间充质干细胞的拉伸校准细胞的机械变形,而预测的粘合力与文献中报道的实验数据一致。子域数是以代表实际支架的感兴趣区域重建为感兴趣的区域(ROI)。通过模拟,分析了涉及详细运输和细胞粘附随时间的ROI内的灌注播种动力学。在粘合速率,细胞簇形成,播种均匀性和效率以及支架渗透率方面研究了灌注压力和初始细胞浓度对播种动力学的影响。结果突出了细胞流体相互作用和粘合动力学在模拟动态播种过程中的重要性。该自下而上模型提供了一种方法来向宏观规模桥接单个细胞的详细行为,允许找到最佳配置以增强细胞播种。

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