Craig M, Humphries A R, Mackey M C
Faculté de Pharmacie, Université de Montréal, Montréal, QC, H3T 1J4, Canada.
Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138, USA.
Bull Math Biol. 2016 Dec;78(12):2304-2357. doi: 10.1007/s11538-016-0179-8. Epub 2016 Jun 20.
We develop a physiological model of granulopoiesis which includes explicit modelling of the kinetics of the cytokine granulocyte colony-stimulating factor (G-CSF) incorporating both the freely circulating concentration and the concentration of the cytokine bound to mature neutrophils. G-CSF concentrations are used to directly regulate neutrophil production, with the rate of differentiation of stem cells to neutrophil precursors, the effective proliferation rate in mitosis, the maturation time, and the release rate from the mature marrow reservoir into circulation all dependent on the level of G-CSF in the system. The dependence of the maturation time on the cytokine concentration introduces a state-dependent delay into our differential equation model, and we show how this is derived from an age-structured partial differential equation model of the mitosis and maturation and also detail the derivation of the rest of our model. The model and its estimated parameters are shown to successfully predict the neutrophil and G-CSF responses to a variety of treatment scenarios, including the combined administration of chemotherapy and exogenous G-CSF. This concomitant treatment was reproduced without any additional fitting to characterize drug-drug interactions.
我们构建了一个粒细胞生成的生理模型,该模型明确模拟了细胞因子粒细胞集落刺激因子(G-CSF)的动力学,同时考虑了其自由循环浓度以及与成熟中性粒细胞结合的细胞因子浓度。G-CSF浓度用于直接调节中性粒细胞的生成,干细胞向中性粒细胞前体的分化速率、有丝分裂中的有效增殖速率、成熟时间以及从成熟骨髓储存库释放到循环中的速率均取决于系统中G-CSF的水平。成熟时间对细胞因子浓度的依赖性在我们的微分方程模型中引入了状态依赖延迟,我们展示了这是如何从有丝分裂和成熟的年龄结构偏微分方程模型推导而来的,并且还详细说明了我们模型其余部分的推导过程。该模型及其估计参数被证明能够成功预测中性粒细胞和G-CSF对各种治疗方案的反应,包括化疗和外源性G-CSF的联合给药。在没有任何额外拟合以表征药物相互作用的情况下,重现了这种联合治疗。