Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer, Inc., Global Research and Development, Groton, CT 06340, USA.
Drug Metab Dispos. 2012 Nov;40(11):2204-11. doi: 10.1124/dmd.112.047456. Epub 2012 Aug 21.
The increase in cytochrome P450 (P450) enzyme activity noted upon exposure to therapeutics can elicit marked drug-drug interactions (DDIs) that may ultimately result in poor clinical outcome or adverse drug effects. As such, in vitro model systems that can rapidly and accurately determine whether potential therapeutics activate the human pregnane X receptor (PXR) and thus induce CYP3A P450 levels are highly sought after tools for drug discovery. To that end, we assessed whether DPX2 cells, a HepG2-derived cell line stably integrated with a PXR expression vector plus a luciferase reporter, could detect agents that not only cause PXR activation/CYP3A induction but also elicit clinical DDIs. All 20 clinical inducers and 9 of 15 clinical noninducers examined activated PXR in DPX2 cells (E(max) > 8-fold), although activation parameters obtained with the noninducers were not predictive of DDI. The relative induction score, calculated by combining PXR activation parameters (EC(50) and E(max)) in DPX2 cells for seven inducers plus four noninducers with their efficacious total plasma concentrations, strongly correlated (R(2) = 0.90) with the magnitude of induction of midazolam clearance. Thus, the DPX cell-based PXR activation system is not only capable of distinguishing potential inducers in a high-throughput manner but can also differentiate among compounds in predicting the magnitude of induction-mediated DDIs, providing a means for structure-activity relationship screening during discovery and development.
细胞色素 P450(P450)酶活性在接触治疗药物时的增加会引起明显的药物相互作用(DDI),最终可能导致临床结果不佳或药物不良反应。因此,能够快速准确地确定潜在治疗药物是否激活人孕烷 X 受体(PXR)并诱导 CYP3A P450 水平的体外模型系统,是药物发现的高度追求的工具。为此,我们评估了 DPX2 细胞(一种源自 HepG2 的细胞系,稳定整合了 PXR 表达载体和荧光素酶报告基因)是否能够检测不仅能引起 PXR 激活/CYP3A 诱导,而且还能引起临床 DDI 的药物。20 种临床诱导剂和 15 种临床非诱导剂中的 9 种都能激活 DPX2 细胞中的 PXR(E(max) > 8 倍),尽管非诱导剂的激活参数不能预测 DDI。通过将 DPX2 细胞中 7 种诱导剂和 4 种非诱导剂的 PXR 激活参数(EC50 和 E(max))与其有效总血浆浓度相结合,计算出相对诱导分数,与咪达唑仑清除率的诱导幅度强烈相关(R(2) = 0.90)。因此,DPX 细胞基于 PXR 激活系统不仅能够以高通量的方式区分潜在的诱导剂,而且还能够在预测诱导介导的 DDI 时区分化合物,为发现和开发过程中的结构-活性关系筛选提供了一种手段。