Veng-Pedersen P, Mandema J W, Danhof M
University of Iowa, College of Pharmacy, Iowa City 52242.
J Pharm Sci. 1991 May;80(5):488-95. doi: 10.1002/jps.2600800518.
Many pharmacodynamic (PD) models may be generalized in the form E(t) = N(L[c(t)]), where E(t) is a recorded effect response, c(t) is a sampled drug level, N is a nonlinear autonomic function, and L is a linear operator that commonly is a convolution operation. The NL class of PD models includes the traditional effect compartment PD models as a subclass, but is not limited to such models. An algorithm and computer program named COLAPS, based on system analysis principles and hysteresis minimization, that enable N and L to be empirically determined for the NL class of models without addressing specific kinetic structure aspects ("model independence") are presented. The kinetic concepts of biophase conduction and transduction functions are used by COLAPS. Such an approach is more general than the effect compartment approaches because it does not assume first-order transport principles. The pitfalls of hysteresis minimization in PD modeling are discussed and the procedures taken by COLAPS to avoid these pitfalls are outlined. A transformation technique prevents improper convergence to a point. A novel reparameterization scheme is introduced that maximizes the flexibility of the kinetic functions and extends the generality of the analysis. Inequality function constraints are maintained without the need for troublesome constrained nonlinear optimization procedures. Usage of the COLAPS program is illustrated in the analysis of the PD of amobarbital. The COLAPS program resulted in an excellent minimization of the effect versus biophase level hysteresis. The biophase conduction function, the biophase drug level (normalized), and the transduction curve were determined. The transduction curve showed clear biphasic behavior.
许多药效学(PD)模型可以概括为E(t) = N(L[c(t)])的形式,其中E(t)是记录的效应响应,c(t)是采样的药物水平,N是非线性自主函数,L是通常为卷积运算的线性算子。PD模型的NL类包括传统的效应室PD模型作为一个子类,但不限于此类模型。提出了一种基于系统分析原理和滞后最小化的算法及计算机程序COLAPS,它能够在不考虑特定动力学结构方面(“模型独立性”)的情况下,通过经验确定NL类模型的N和L。COLAPS使用了生物相传导和转导函数的动力学概念。这种方法比效应室方法更具通用性,因为它不假定一阶转运原理。讨论了PD建模中滞后最小化的陷阱,并概述了COLAPS为避免这些陷阱所采取的程序。一种变换技术可防止不恰当地收敛到一个点。引入了一种新颖的重新参数化方案,该方案可使动力学函数的灵活性最大化,并扩展分析的通用性。无需麻烦的约束非线性优化程序即可维持不等式函数约束。在分析异戊巴比妥的PD时展示了COLAPS程序的用法。COLAPS程序使效应与生物相水平的滞后得到了极佳的最小化。确定了生物相传导函数、生物相药物水平(归一化)和转导曲线。转导曲线显示出明显的双相行为。