Jiao Jianfeng, Luo Min, Wang Ruiqi
Department of Mathematics, Shanghai University, Shangda Road No.99, Shanghai, 200444, China.
BMC Syst Biol. 2018 Apr 24;12(Suppl 4):43. doi: 10.1186/s12918-018-0561-2.
The haematopoietic lineages with leukaemia lineages are considered in this paper. In particular, we mainly consider that haematopoietic lineages are tightly controlled by negative feedback inhibition of end-product. Actually, leukemia has been found 100 years ago. Up to now, the exact mechanism is still unknown, and many factors are thought to be associated with the pathogenesis of leukemia. Nevertheless, it is very necessary to continue the profound study of the pathogenesis of leukemia. Here, we propose a new mathematical model which include some negative feedback inhibition from the terminally differentiated cells of haematopoietic lineages to the haematopoietic stem cells and haematopoietic progenitor cells in order to describe the regulatory mechanisms mentioned above by a set of ordinary differential equations. Afterwards, we carried out detailed dynamical bifurcation analysis of the model, and obtained some meaningful results.
In this work, we mainly perform the analysis of the mathematic model by bifurcation theory and numerical simulations. We have not only incorporated some new negative feedback mechanisms to the existing model, but also constructed our own model by using the modeling method of stem cell theory with probability method. Through a series of qualitative analysis and numerical simulations, we obtain that the weak negative feedback for differentiation probability is conducive to the cure of leukemia. However, with the strengthening of negative feedback, leukemia will be more difficult to be cured, and even induce death. In contrast, strong negative feedback for differentiation rate of progenitor cells can promote healthy haematopoiesis and suppress leukaemia.
These results demonstrate that healthy progenitor cells are bestowed a competitive advantage over leukaemia stem cells. Weak g, g, and h enable the system stays in the healthy state. However, strong h can promote healthy haematopoiesis and suppress leukaemia.
本文考虑了造血谱系与白血病谱系。特别地,我们主要认为造血谱系受到终产物负反馈抑制的严格控制。实际上,白血病在100年前就已被发现。至今,确切机制仍不清楚,许多因素被认为与白血病的发病机制有关。然而,继续深入研究白血病的发病机制非常必要。在此,我们提出一个新的数学模型,该模型包含从造血谱系的终末分化细胞到造血干细胞和造血祖细胞的一些负反馈抑制,以便用一组常微分方程来描述上述调节机制。之后,我们对该模型进行了详细的动力学分岔分析,并得到了一些有意义的结果。
在这项工作中,我们主要通过分岔理论和数值模拟对数学模型进行分析。我们不仅在现有模型中纳入了一些新的负反馈机制,还利用干细胞理论的建模方法和概率方法构建了自己的模型。通过一系列定性分析和数值模拟,我们得出分化概率的弱负反馈有利于白血病的治愈。然而,随着负反馈的增强,白血病将更难治愈,甚至会导致死亡。相比之下,祖细胞分化率的强负反馈可以促进健康造血并抑制白血病。
这些结果表明,健康的祖细胞相对于白血病干细胞具有竞争优势。弱的g、g和h能使系统保持在健康状态。然而,强的h可以促进健康造血并抑制白血病。