Higuera Gustavo, Schop Deborah, Janssen Frank, van Dijkhuizen-Radersma Riemke, van Boxtel Ton, van Blitterswijk C A
Department of Tissue Regeneration, Institute for Biomedical Technology, University of Twente, Enschede, The Netherlands.
Tissue Eng Part A. 2009 Sep;15(9):2653-63. doi: 10.1089/ten.TEA.2008.0328.
Better quantitative understanding of human mesenchymal stem cells (hMSCs) metabolism is needed to identify, understand, and subsequently optimize the processes in expansion of hMSCs in vitro. For this purpose, we analyzed growth of hMSCs in vitro with a mathematical model based on the mass balances for viable cell numbers, glucose, lactate, glutamine, and glutamate. The mathematical modeling had two aims: (1) to estimate kinetic parameters of important metabolites for hMSC monolayer cultures, and (2) to quantitatively assess assumptions on growth of hMSCs. Two cell seeding densities were used to investigate growth and metabolism kinetics of MSCs from three human donors. We analyzed growth up to confluency and used metabolic assumptions described in literature. Results showed a longer initial phase, a slower growth rate, and a higher glucose, lactate, glutamine, and glutamate metabolic rates at the lower cell seeding density. Higher metabolic rates could be induced by a lower contact inhibition effect when seeding at 100 cells/cm2 than when seeding at 1000 cells/cm2. In addition, parameter estimation describing kinetics of hMSCs in culture, depending on the seeding density, showed doubling times in the order of 17-32h, specific glucose consumption in the order of 1.25 x 10(-1) to 3.77 x 10(-1) pmol/cell/h, specific lactate production in the order of 2.48 x 10(-1) to 7.67 x 10(-1)pmol/cell/h, specific glutamine production in the order of 7.04 x 10(-3) to 2.27 pmol/cell/h, and specific glutamate production in the order of 4.87 x 10(-1) to 23.4 pmol/cell/h. Lactate-to-glucose yield ratios confirmed that hMSCs use glucose via anaerobic glycolysis. In addition, glutamine and glutamate metabolic shifts were identified that could be important for understanding growth of hMSCs in vitro. This study showed that the mathematical modeling approach supports quantitative analysis of important mechanisms in proliferation of hMSCs in vitro.
为了识别、理解并随后优化体外扩增人间充质干细胞(hMSCs)的过程,需要对hMSCs的代谢有更好的定量理解。为此,我们使用基于活细胞数量、葡萄糖、乳酸、谷氨酰胺和谷氨酸质量平衡的数学模型分析了hMSCs的体外生长。该数学建模有两个目标:(1)估计hMSC单层培养中重要代谢物的动力学参数,(2)定量评估关于hMSCs生长的假设。使用两种细胞接种密度来研究来自三位人类供体的MSCs的生长和代谢动力学。我们分析了直至汇合的生长情况,并采用了文献中描述的代谢假设。结果显示,在较低的细胞接种密度下,初始阶段更长、生长速率更慢,葡萄糖、乳酸、谷氨酰胺和谷氨酸的代谢率更高。与以1000个细胞/cm²接种时相比,以100个细胞/cm²接种时,较低的接触抑制作用可诱导更高的代谢率。此外,描述培养中hMSCs动力学的参数估计表明,倍增时间约为17 - 32小时,特定葡萄糖消耗约为1.25×10⁻¹至3.77×10⁻¹ pmol/细胞/小时,特定乳酸产生约为2.48×10⁻¹至7.67×10⁻¹ pmol/细胞/小时,特定谷氨酰胺产生约为7.04×10⁻³至2.27 pmol/细胞/小时,特定谷氨酸产生约为4.87×10⁻¹至23.4 pmol/细胞/小时。乳酸与葡萄糖的产量比证实hMSCs通过无氧糖酵解利用葡萄糖。此外,还确定了谷氨酰胺和谷氨酸的代谢转变,这可能对于理解hMSCs的体外生长很重要。这项研究表明,数学建模方法支持对hMSCs体外增殖中重要机制的定量分析。