Boehringer-Ingelheim Pharmaceuticals Inc., Medicinal Chemistry (Drug Metabolism and Pharmacokinetics), 175 Briar Ridge Road, R&D 10574, Ridgefield, CT 06877, USA.
Drug Metab Dispos. 2012 Jul;40(7):1336-44. doi: 10.1124/dmd.112.044644. Epub 2012 Apr 9.
The current studies assessed the utility of freshly plated hepatocytes, cryopreserved plated hepatocytes, and cryopreserved plated HepaRG cells for the estimation of inactivation parameters k(inact) and K(I) for CYP3A. This was achieved using a subset of CYP3A time-dependent inhibitors (fluoxetine, verapamil, clarithromycin, troleandomycin, and mibefradil) representing a range of potencies. The estimated k(inact) and K(I) values for each time-dependent inhibitor were compared with those obtained using human liver microsomes and used to estimate the magnitude of clinical pharmacokinetic drug-drug interaction (DDI). The inactivation kinetic parameter, k(inact), was most consistent across systems tested for clarithromycin, verapamil, and troleandomycin, with a high k(inact) of 0.91 min(-1) observed for mibefradil in HepaRG cells. The apparent K(I) estimates derived from the various systems displayed a range of variability from 3-fold for clarithromycin (5.4-17.7 μM) to 6-fold for verapamil (1.9-12.6 μM). In general, the inactivation kinetic parameters derived from the cell systems tested fairly replicated what was observed in time-dependent inhibition studies using human liver microsomes. Despite some of the observed differences in inactivation kinetic parameters, the estimated DDIs derived from each of the tested systems generally agreed with the clinically reported DDI within approximately 2-fold. In addition, a plated cell approach offered the ability to conduct longer primary incubations (greater than 30 min), which afforded improved ability to identify the weak time-dependent inhibitor fluoxetine. Overall, results from these studies suggest that in vitro inactivation parameters generated from plated cell systems may be a practical approach for identifying time-dependent inhibitors and for estimating the magnitude of clinical DDIs.
目前的研究评估了新鲜培养的肝细胞、冷冻保存的培养肝细胞和冷冻保存的 HepaRG 细胞在估计 CYP3A 的失活参数 k(inact)和 K(I)方面的应用。这是通过使用一组 CYP3A 时间依赖性抑制剂(氟西汀、维拉帕米、克拉霉素、替考拉宁和米贝地尔)来实现的,这些抑制剂代表了一系列的效力。对于每种时间依赖性抑制剂,估计的 k(inact)和 K(I)值与用人肝微粒体获得的值进行了比较,并用于估计临床药代动力学药物相互作用 (DDI)的程度。对于克拉霉素、维拉帕米和替考拉宁,失活动力学参数 k(inact)在测试的系统中最为一致,米贝地尔在 HepaRG 细胞中的 k(inact)高达 0.91 min(-1)。从各种系统得出的表观 K(I)估计值显示出很大的可变性,克拉霉素为 3 倍(5.4-17.7 μM),维拉帕米为 6 倍(1.9-12.6 μM)。一般来说,从测试的细胞系统得出的失活动力学参数相当程度地复制了用人肝微粒体进行的时间依赖性抑制研究中观察到的结果。尽管在失活动力学参数方面观察到了一些差异,但从每个测试系统得出的估计的 DDI 通常与临床上报告的 DDI 相差约 2 倍。此外,板载细胞方法能够进行更长的初级孵育(超过 30 分钟),从而能够更好地识别弱时间依赖性抑制剂氟西汀。总的来说,这些研究的结果表明,从板载细胞系统产生的体外失活参数可能是识别时间依赖性抑制剂和估计临床 DDI 程度的一种实用方法。