Gabrielsson Johan, Peletier Lambertus A
Department of Biomedical Sciences and Veterinary Public Health, Division of Pharmacology and Toxicology, Swedish University of Agricultural Sciences, Box 7028, SE-750 07, Uppsala, Sweden.
Mathematical Institute, Leiden University, PB 9512, 2300 RA, Leiden, The Netherlands.
AAPS J. 2017 May;19(3):772-786. doi: 10.1208/s12248-016-0031-y. Epub 2017 Jan 31.
In this paper, we derive explicit expressions for the concentrations of ligand L, target R and ligand-target complex RL at steady state for the classical model describing target-mediated drug disposition, in the presence of a constant-rate infusion of ligand. We demonstrate that graphing the steady-state values of ligand, target and ligand-target complex, we obtain striking and often singular patterns, which yield a great deal of insight and understanding about the underlying processes. Deriving explicit expressions for the dependence of L, R and RL on the infusion rate, and displaying graphs of the relations between L, R and RL, we give qualitative and quantitive information for the experimentalist about the processes involved. Understanding target turnover is pivotal for optimising these processes when target-mediated drug disposition (TMDD) prevails. By a combination of mathematical analysis and simulations, we also show that the evolution of the three concentration profiles towards their respective steady-states can be quite complex, especially for lower infusion rates. We also show how parameter estimates obtained from iv bolus studies can be used to derive steady-state concentrations of ligand, target and complex. The latter may serve as a template for future experimental designs.
在本文中,我们针对描述靶点介导药物处置的经典模型,在存在恒速输注配体的情况下,推导出了稳态下配体L、靶点R和配体 - 靶点复合物RL浓度的显式表达式。我们证明,通过绘制配体、靶点和配体 - 靶点复合物的稳态值,可得到显著且常为奇异的模式,这能让我们对潜在过程有深入的洞察和理解。通过推导L、R和RL对输注速率依赖性的显式表达式,并展示L、R和RL之间关系的图表,我们为实验人员提供了有关所涉及过程的定性和定量信息。当靶点介导的药物处置(TMDD)占主导时,理解靶点周转对于优化这些过程至关重要。通过数学分析和模拟相结合,我们还表明,三种浓度分布向各自稳态的演变可能相当复杂,尤其是在较低输注速率时。我们还展示了如何将从静脉推注研究中获得的参数估计值用于推导配体、靶点和复合物的稳态浓度。后者可作为未来实验设计的模板。