Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia.
PLoS One. 2018 Aug 27;13(8):e0202079. doi: 10.1371/journal.pone.0202079. eCollection 2018.
A mathematical model was developed for mesenchymal stromal cell (MSC) growth in a packed bed bioreactor that improves oxygen availability by allowing oxygen diffusion through a gas-permeable wall. The governing equations for oxygen, glucose and lactate, the inhibitory waste product, were developed assuming Michaelis-Menten kinetics, together with an equation for the medium flow based on Darcy's Law. The conservation law for the cells includes the effects of inhibition as the cells reach confluence, nutrient and waste product concentrations, and the assumption that the cells can migrate on the scaffold. The equations were solved using the finite element package, COMSOL. Previous experimental results collected using a packed bed bioreactor with gas permeable walls to expand MSCs produced a lower cell yield than was obtained using a traditional cell culture flask. This mathematical model suggests that the main contributors to the observed low cell yield were a non-uniform initial cell seeding profile and a potential lag phase as cells recovered from the initial seeding procedure. Lactate build-up was predicted to have only a small effect at lower flow rates. Thus, the most important parameters to optimise cell expansion in the proliferation of MSCs in a bioreactor with gas permeable wall are the initial cell seeding protocol and the handling of the cells during the seeding process. The mathematical model was then used to identify and characterise potential enhancements to the bioreactor design, including incorporating a central gas permeable capillary to further enhance oxygen availability to the cells. Finally, to evaluate the issues and limitations that might be encountered scale-up of the bioreactor, the mathematical model was used to investigate modifications to the bioreactor design geometry and packing density.
开发了一种用于间质基质细胞(MSC)在填充床生物反应器中生长的数学模型,该模型通过允许氧气通过透气壁扩散来提高氧气可用性。假设米氏动力学,开发了用于氧气、葡萄糖和乳酸(抑制性废物产物)的控制方程,以及基于达西定律的介质流动方程。细胞的守恒定律包括细胞达到汇合时的抑制作用、营养物和废物产物浓度以及细胞可以在支架上迁移的假设。使用有限元包 COMSOL 求解了这些方程。使用具有透气壁的填充床生物反应器收集的先前实验结果表明,与使用传统细胞培养瓶相比,MSC 的细胞产量较低。该数学模型表明,观察到的低细胞产量的主要贡献者是初始细胞接种分布不均匀和细胞从初始接种过程中恢复时可能存在的滞后阶段。预测在较低流速下,乳酸的积累影响较小。因此,在具有透气壁的生物反应器中优化 MSC 增殖过程中细胞扩展的最重要参数是初始细胞接种方案和接种过程中细胞的处理。然后使用数学模型来确定和表征生物反应器设计的潜在增强,包括纳入中央透气毛细管以进一步提高细胞的氧气可用性。最后,为了评估生物反应器放大可能遇到的问题和限制,使用数学模型研究了对生物反应器设计几何形状和填充密度的修改。