Venkatakrishnan K, Obach R S, Rostami-Hodjegan A
Clinical Pharmacology, Pfizer Global Research and Development, MS8260-2626, EasternPoint Road, Groton, CT 06340, USA.
Xenobiotica. 2007 Oct-Nov;37(10-11):1225-56. doi: 10.1080/00498250701670945.
Among drugs that cause pharmacokinetic drug-drug interactions, mechanism-based inactivators of cytochrome P450 represent several of those agents that cause interactions of the greatest magnitude. In vitro inactivation kinetic data can be used to predict the potential for new drugs to cause drug interactions in the clinic. However, several factors exist, each with its own uncertainty, that must be taken into account in order to predict the magnitude of interactions reliably. These include aspects of in vitro experimental design, an understanding of relevant in vivo concentrations of the inactivator, and the extent to which the inactivated enzyme is involved in the clearance of the affected drug. Additionally, the rate of enzyme degradation in vivo is also an important factor that needs to be considered in the prediction of the drug interaction magnitudes. To address mechanism-based inactivation for new drugs, various in vitro experimental approaches have been employed. The selection of approaches for in vitro kinetic characterization of inactivation as well as in vitro-in vivo extrapolation should be guided by the purpose of the exercise and the stage of drug discovery and development, with an increase in the level of sophistication throughout the research and development process.
在引起药代动力学药物-药物相互作用的药物中,细胞色素P450的基于机制的失活剂是导致相互作用程度最大的几种药物。体外失活动力学数据可用于预测新药在临床中引起药物相互作用的可能性。然而,为了可靠地预测相互作用的程度,存在几个因素,每个因素都有其自身的不确定性,必须加以考虑。这些因素包括体外实验设计的各个方面、对失活剂体内相关浓度的了解、以及被失活的酶参与受影响药物清除的程度。此外,体内酶降解速率也是预测药物相互作用程度时需要考虑的一个重要因素。为了解决新药的基于机制的失活问题,已经采用了各种体外实验方法。体外失活动力学表征以及体外-体内外推方法的选择应以实验目的和药物发现与开发阶段为指导,并在整个研发过程中提高其复杂性水平。