Department of Pharmaceutical Sciences, Temple University, Philadelphia, Pennsylvania, USA.
Clin Transl Sci. 2022 Aug;15(8):1867-1879. doi: 10.1111/cts.13310. Epub 2022 Jun 2.
Partition analysis has been described previously by W.W. Cleland to derive net rate constants and simplify the derivation of enzyme kinetic equations. Here, we show that partition analysis can be used to derive elimination and transfer (distribution) net clearances for use in pharmacokinetic models. For elimination clearances, the net clearance approach is exemplified with a mammillary two-compartment model with peripheral elimination, and the established well-stirred and full hepatic clearance models. The intrinsic hepatic clearance associated with an observed average hepatic clearance can be easily calculated with net clearances. Expressions for net transfer clearances are easily derived, including models with explicit membranes (e.g., monolayer permeability and blood-brain barrier models). Together, these approaches can be used to derive equations for physiologically based and hybrid compartmental/ physiologically based models. This tutorial describes how net clearances can be used to derive relationships for simple models as well as increasingly complex models, such as inclusion of active transport and target mediated processes.
分区分析之前由 W.W.克利兰描述得出净速率常数和简化酶动力学方程的推导。在这里,我们表明分区分析可用于推导消除和转移(分布)净清除率,用于药代动力学模型。对于消除清除率,净清除率方法的例子是一个具有外周消除的乳突两室模型,以及建立的良好搅拌和完全肝清除率模型。与观察到的平均肝清除率相关的内在肝清除率可以很容易地用净清除率计算。净转移清除率的表达式很容易推导出来,包括具有明确膜的模型(例如,单层通透性和血脑屏障模型)。这些方法可用于推导基于生理的和混合隔室/基于生理的模型的方程。本教程描述了如何使用净清除率来推导出简单模型以及越来越复杂模型的关系,例如包括主动转运和靶向介导过程。