Preclinical Research Unit, Sumitomo Dainippon Pharma Co., Ltd., 3-1-98 Kasugade-naka, Konohana-ku, Osaka, 554-0022, Japan.
AAPS J. 2019 Jan 23;21(2):20. doi: 10.1208/s12248-019-0294-1.
Accurate prediction of human pharmacokinetics for drugs remains challenging, especially for non-cytochrome P450 (P450) substrates. Hepatocytes might be suitable for predicting hepatic intrinsic clearance (CL) of new chemical entities, because they can be applied to various compounds regardless of the metabolic enzymes. However, it was reported that hepatic CL is underestimated in hepatocytes. The purpose of the present study was to confirm the predictability of human hepatic clearance for P450 and non-P450 substrates in hepatocytes and the utility of animal scaling factors for the prediction using hepatocytes. CL values for 30 substrates of P450, UDP-glucuronosyltransferase, flavin-containing monooxygenase, esterases, reductases, and aldehyde oxidase in human microsomes, human S9 and human, rat, and monkey hepatocytes were estimated. Hepatocytes were incubated in serum of each species. Furthermore, CL values in human hepatocytes were corrected with empirical, monkey, and rat scaling factors. CL values in hepatocytes for most compounds were underestimated compared to observed values regardless of the metabolic enzyme, and the predictability was improved by using the scaling factors. The prediction using human hepatocytes corrected with monkey scaling factor showed the highest predictability for both P450 and non-P450 substrates among the predictions using liver microsomes, liver S9, and hepatocytes with or without scaling factors. CL values by this method for 80% and 90% of all compounds were within 2- and 3-fold of observed values, respectively. This method is accurate and useful for estimating new chemical entities, with no need to care about cofactors, localization of metabolic enzymes, or protein binding in plasma and incubation mixture.
准确预测药物的人体药代动力学仍然具有挑战性,特别是对于非细胞色素 P450(P450)底物。肝细胞可能适合预测新化学实体的肝内在清除率(CL),因为它们可以应用于各种化合物,而与代谢酶无关。然而,据报道,肝细胞中 CL 被低估了。本研究的目的是确认肝细胞对 P450 和非 P450 底物的人体肝清除率的预测能力,以及使用肝细胞预测时动物比例因子的实用性。使用人微粒体、人 S9 和人、大鼠和猴肝细胞估计了 30 种 P450、UDP-葡萄糖醛酸转移酶、黄素单加氧酶、酯酶、还原酶和醛氧化酶底物的 CL 值。肝细胞在每种物种的血清中孵育。此外,用人、猴和大鼠经验比例因子校正了人肝细胞中的 CL 值。与观察值相比,大多数化合物的肝细胞 CL 值被低估,而使用比例因子可提高预测能力。用人肝细胞校正猴比例因子进行的预测对于 P450 和非 P450 底物均显示出最高的预测能力,优于使用肝微粒体、肝 S9 和使用或不使用比例因子的肝细胞的预测。使用该方法,80%和 90%的所有化合物的 CL 值分别在观察值的 2 倍和 3 倍以内。该方法准确且可用于估计新化学实体,无需关注辅助因子、代谢酶的定位或血浆和孵育混合物中的蛋白结合。