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Methods of solving rapid binding target-mediated drug disposition model for two drugs competing for the same receptor

机译:解决同一受体竞争两种药物快速结合靶介导的药物处理模型的方法

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摘要

The target-mediated drug disposition (TMDD) model has been adopted to describe pharmacokinetics for two drugs competing for the same receptor. A rapid binding assumption introduces total receptor and total drug concentrations while free drug concentrations CA and CB are calculated from the equilibrium (Gaddum) equations. The Gaddum equations are polynomials in CA and CB of second degree that have explicit solutions involving complex numbers. The aim of this study was to develop numerical methods to solve the rapid binding TMDD model for two drugs competing for the same receptor that can be implemented in pharmacokinetic software. Algebra, calculus, and computer simulations were used to develop algorithms and investigate properties of solutions to the TMDD model with two drugs competitively binding to the same receptor. A general rapid binding approximation of the TMDD model for two drugs competing for the same receptor has been proposed. The explicit solutions to the equilibrium equations employ complex numbers, which cannot be easily solved by pharmacokinetic software. Numerical bisection algorithm and differential representation were developed to solve the system instead of obtaining an explicit solution. The numerical solutions were validated by MATLAB 7.2 solver for polynomial roots. The applicability of these algorithms was demonstrated by simulating concentration-time profiles resulting from exogenous and endogenous IgG competing for the neonatal Fc receptor (FcRn), and darbepoetin competing with endogenous erythropoietin for the erythropoietin receptor. These models were implemented in Phoenix WinNonlin 6.0 and ADAPT 5, respectively.
机译:已采用靶标介导的药物处置(TMDD)模型来描述两种竞争同一受体的药物的药代动力学。快速结合假设会引入总受体和总药物浓度,而游离药物浓度CA和CB是根据平衡(Gaddum)方程计算的。 Gaddum方程是二阶CA和CB中的多项式,具有涉及复数的显式解。这项研究的目的是开发一种数值方法来解决两种药物竞争同一受体的快速结合TMDD模型,该模型可以在药代动力学软件中实现。使用代数,微积分和计算机模拟来开发算法,并研究具有竞争性结合同一受体的两种药物的TMDD模型的解的性质。已经提出了TMDD模型对于竞争相同受体的两种药物的一般快速结合近似。平衡方程的显式解采用复数,药代动力学软件无法轻松解决。开发了数字二等分算法和微分表示法来解决系统问题,而不是获得明确的解决方案。数值解已通过MATLAB 7.2求解器针对多项式根进行了验证。这些算法的适用性通过模拟竞争新生儿Fc受体(FcRn)的外源和内源性IgG以及达贝泊汀与内源性促红细胞生成素竞争促红细胞生成素受体的浓度-时间曲线来证明。这些模型分别在Phoenix WinNonlin 6.0和ADAPT 5中实现。

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