Computational modeling of combined cell population dynamics and oxygen transport in engineered tissue subject to interstitial perfusion
Computational modeling of combined cell population dynamics and oxygen transport in engineered tissue subject to interstitial perfusion
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DOI：
10.1080/10255840701318404
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发表时间：
2007-08-01
影响因子：
1.6
通讯作者：
Pietrabissa, R.
中科院分区：
文献类型：
--
作者：
Galbusera, F.;Cioffi, A.;Pietrabissa, R.
这项工作提出了组织工程生物反应器内间质灌注下组织生长的计算模型。该模型使用基于元胞自动机的模型来解释细胞群动态，并使用基于格子-玻尔兹曼方程和对流扩散方程的模型来解释生物反应器施加的流体动力学微环境。通过包括种群动态以及氧气扩散、对流运输和消耗，比较静态培养与灌注培养的条件。该模型能够处理空间域的任意复杂几何形状；在目前的工作中，建模的域是组织工程软骨的多孔支架的空隙空间。细胞群体动力学算法提供的结果在定性上类似于实验研究中观察到的群体动态模式，并且这些结果与之前的计算研究在定量上具有良好的一致性。氧气输送和消耗的模拟表明，对流输送对于在支架的整个空间域中维持高水平的氧气浓度具有根本性的贡献。该模型的设计目标是计算效率高且易于扩展，即允许直接实施复杂生物现象的进一步模型，这些现象在组织工程中日益增加科学兴趣，例如趋化性、细胞外基质沉积和机械刺激效应。
This work presents a computational model of tissue growth under interstitial perfusion inside a tissue engineering bioreactor. The model accounts both for the cell population dynamics, using a model based on cellular automata, and for the hydrodynamic microenvironment imposed by the bioreactor, using a model based on the Lattice -Boltzmann equation and the convection-diffusion equation. The conditions of static culture versus per-fused culture were compared, by including the population dynamics along with oxygen diffusion, convective transport and consumption. The model is able to deal with arbitrary complex geometries of the spatial domain; in the present work, the domain modeled was the void space of a porous scaffold for tissue-engineered cartilage. The cell population dynamics algorithm provided results which qualitatively resembled population dynamics patterns observed in experimental studies, and these results were in good quantitative agreement with previous computational studies. Simulation of oxygen transport and consumption showed the fundamental contribution of convective transport in maintaining a high level of oxygen concentration in the whole spatial domain of the scaffold. The model was designed with the aim to be computationally efficient and easily expandable, i.e. to allow straightforward implementability of further models of complex biological phenomena of increasing scientific interest in tissue engineering, such as chemotaxis, extracellular matrix deposition and effect of mechanical stimulation.