Toor Amir A, Kobulnicky Jared D, Salman Salman, Roberts Catherine H, Jameson-Lee Max, Meier Jeremy, Scalora Allison, Sheth Nihar, Koparde Vishal, Serrano Myrna, Buck Gregory A, Clark William B, McCarty John M, Chung Harold M, Manjili Masoud H, Sabo Roy T, Neale Michael C
Stem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Center for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA.
Front Immunol. 2014 Dec 3;5:613. doi: 10.3389/fimmu.2014.00613. eCollection 2014.
Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However, the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. Dynamical systems tend to evolve over time according to mathematically determined rules. Characteristically, the future states of the system are predicated on the states preceding them, and there is sensitivity to initial conditions. In SCT, the interaction between donor T cells and the recipient may be considered as such a system in which, graft source, conditioning, and early immunosuppression profoundly influence immune reconstitution over time. This eventually determines clinical outcomes, either the emergence of tolerance or the development of graft versus host disease. In this paper, parallels between SCT and dynamical systems are explored and a conceptual framework for developing mathematical models to understand disparate transplant outcomes is proposed.
干细胞移植（SCT）的结果是使用概率论进行建模的。然而，SCT后的临床过程似乎表现出动态系统的许多特征，特别是当在免疫重建的背景下考虑结果时。动态系统倾向于根据数学确定的规则随时间演变。其特点是，系统的未来状态取决于其之前的状态，并且对初始条件敏感。在SCT中，供体T细胞与受体之间的相互作用可被视为这样一个系统，其中移植物来源、预处理和早期免疫抑制随着时间的推移深刻影响免疫重建。这最终决定了临床结果，即耐受的出现或移植物抗宿主病的发展。在本文中，探讨了SCT与动态系统之间的相似之处，并提出了一个用于开发数学模型以理解不同移植结果的概念框架。
