Gao Shuhua, Xiang Cheng, Qin Kairong, Sun Changkai
Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China.
Stem Cells Int. 2018 May 14;2018:9283432. doi: 10.1155/2018/9283432. eCollection 2018.
Many experimental studies have found that human mesenchymal stem cells (MSCs) in long-term culture exhibited enhanced cell proliferation and prolonged lifespan under hypoxia (around 1%-7% oxygen) against the normoxic condition (about 21% oxygen). Inspired by the experimental findings, we aimed to investigate the hypoxic effects on MSC expansion quantitatively through mathematical modeling to elucidate the corresponding biological mechanism. A two-compartment model based on ordinary differential equations (ODEs), which incorporate cellular division and senescence via state transition, was developed to describe the MSC expansion process. Parameters of this model were fitted to experimental data and used to interpret the different proliferative capacities of MSCs under hypoxia and normoxia along with model sensitivity analysis. The proposed model was tested on data from two separate experimental studies, and it could reproduce the observed growth characteristics in both conditions. Overall, this compartmental model with a logistic state transition rate was sufficient to explain the experimental findings and highlighted the promotive role of hypoxia in MSC proliferation. This in silico study suggests that hypoxia can enhance MSC long-term expansion mainly by delaying replicative senescence, which is indicated by the slowdown of the state transition rate in our model. Therefore, this explanatory model may provide theoretical proof for the experimentally observed MSC growth superiority under hypoxia and has the potential to further optimize MSC culture protocols for regenerative medicine applications.
许多实验研究发现,与常氧条件(约21%氧气)相比,长期培养的人间充质干细胞(MSC)在低氧(约1%-7%氧气)条件下表现出增强的细胞增殖能力和延长的寿命。受实验结果启发,我们旨在通过数学建模定量研究低氧对MSC扩增的影响,以阐明相应的生物学机制。我们建立了一个基于常微分方程(ODE)的双室模型,该模型通过状态转换纳入细胞分裂和衰老,以描述MSC的扩增过程。将该模型的参数拟合到实验数据中,并用于解释低氧和常氧条件下MSC不同的增殖能力以及进行模型敏感性分析。所提出的模型在两项独立实验研究的数据上进行了测试,它能够重现两种条件下观察到的生长特征。总体而言,这个具有逻辑状态转换率的隔室模型足以解释实验结果,并突出了低氧在MSC增殖中的促进作用。这项计算机模拟研究表明,低氧主要通过延迟复制性衰老来增强MSC的长期扩增,这在我们模型中状态转换率的放缓中得到体现。因此,这个解释性模型可能为实验观察到的低氧条件下MSC生长优势提供理论依据,并有可能进一步优化用于再生医学应用的MSC培养方案。