Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut (T.S.C., H.Y., D.T.); Hepregen Corporation, Medford, Massachusetts (A.M.); and Mechanical and Biomedical Engineering, Colorado State University, Fort Collins, Colorado (S.R.K.).
Drug Metab Dispos. 2013 Dec;41(12):2024-32. doi: 10.1124/dmd.113.053397. Epub 2013 Aug 19.
Generating accurate in vitro intrinsic clearance data is an important aspect of predicting in vivo human clearance. Primary hepatocytes in suspension are routinely used to predict in vivo clearance; however, incubation times have typically been limited to 4-6 hours, which is not long enough to accurately evaluate the metabolic stability of slowly metabolized compounds. HepatoPac is a micropatterened hepatocyte-fibroblast coculture system that can be used for continuous incubations of up to 7 days. This study evaluated the ability of human HepatoPac to predict the in vivo clearance (CL) of 17 commercially available compounds with low to intermediate clearance (<12 ml/min per kg). In vitro half-life for disappearance of each compound was converted to hepatic clearance using the well stirred model, with and without correction for plasma protein binding. Hepatic CL, using three individual donors, was accurately predicted for 10 of 17 compounds (59%; predicted clearance within 2-fold of observed human in vivo clearance values). The accuracy of prediction increased to 76% (13 of 17 compounds) with an acceptance criterion defined as within 3-fold. When considering only low clearance compounds (<5 ml/min per kg), which represented 10 of the 17 compounds, the accuracy of prediction was 60% within 2-fold and 90% within 3-fold. In addition, the turnover of three slowly metabolized compounds (alprazolam, meloxicam, and tolbutamide) in HepatoPac was directly compared with turnover in suspended hepatocytes. The turnover of alprazolam and tolbutamide was approximately 2-fold greater using HepatoPac compared with suspended hepatocytes, which was roughly in line with the extrapolated values (correcting for the longer incubation time and lower cell number with HepatoPac). HepatoPac, but not suspended hepatocytes, demonstrated significant turnover of meloxicam. These results demonstrate the utility of HepatoPac for prediction of in vivo hepatic clearance, particularly with low clearance compounds.
生成准确的体外内在清除率数据是预测体内人体清除率的一个重要方面。悬浮的原代肝细胞通常用于预测体内清除率;然而,孵育时间通常限制在 4-6 小时,这不足以准确评估代谢缓慢的化合物的代谢稳定性。HepatoPac 是一种微图案化的肝细胞-成纤维细胞共培养系统,可用于长达 7 天的连续孵育。本研究评估了 HepatoPac 预测 17 种具有低至中等清除率(<12 ml/min/kg)的市售化合物体内清除率的能力。使用 Well-Stirred 模型,根据需要校正血浆蛋白结合情况,将每种化合物消失的体外半衰期转换为肝清除率。使用三个个体供体,准确预测了 17 种化合物中的 10 种(59%;预测清除率与观察到的人体体内清除率值相差 2 倍以内)。预测精度提高到 76%(17 种化合物中的 13 种),接受标准定义为相差 3 倍以内。当仅考虑低清除率化合物(<5 ml/min/kg)时,17 种化合物中有 10 种,预测精度在 2 倍以内为 60%,在 3 倍以内为 90%。此外,在 HepatoPac 中三种代谢缓慢的化合物(阿普唑仑、美洛昔康和甲苯磺丁脲)的周转率与悬浮肝细胞中的周转率直接进行了比较。与悬浮肝细胞相比,HepatoPac 中阿普唑仑和甲苯磺丁脲的周转率大约增加了 2 倍,这与推断值大致相符(校正了 HepatoPac 更长的孵育时间和更低的细胞数)。HepatoPac 而非悬浮肝细胞显示出美洛昔康的显著周转率。这些结果表明 HepatoPac 可用于预测体内肝清除率,特别是对于低清除率化合物。