Department of Chemical and Biochemical Engineering, Zhejiang University, 38 Zheda Road, Zhejiang 310027, PR China.
Can J Physiol Pharmacol. 2013 Feb;91(2):178-86. doi: 10.1139/cjpp-2012-0334. Epub 2012 Nov 27.
This paper aimed to evaluate the applicability of gel-entrapped rat and human hepatocytes in the prediction of hepatic plasma clearance (CLh,plasma) in vivo. The in vitro intrinsic clearances (CLint,in vitro) for the selected compounds were determined from the substrate disappearance rate, and further used to predict CLh,plasma using 3 classical mathematical models (well-stirred, parallel-tube, and dispersion) and disregarding drug binding. As a result, the predicted values from gel-entrapped rat hepatocytes were mostly within 2 SE of the literature data with a high correlation coefficient (R(2)) of 0.88-0.91. The predicted data with human hepatocytes also fitted well with the clinical data, indicating a high accuracy in prediction of in-vivo clearance. With respect to the mathematical model for predicting CLh,plasma, the parallel-tube and dispersion models produced a better prediction than the well-stirred model, and we suggest using the parallel-tube model because it is less complex mathematically. In conclusion, gel-entrapped hepatocytes predicted the drug clearance well and seemed to be a useful tool in the process of drug discovery.
本研究旨在评估凝胶包埋大鼠和人肝细胞在预测体内肝脏血浆清除率(CLh, plasma)中的适用性。通过底物消失率测定,从所选化合物的体外固有清除率(CLint,in vitro),并进一步使用 3 种经典数学模型(搅拌池、平行管和弥散)进行预测,不考虑药物结合。结果,凝胶包埋大鼠肝细胞的预测值与文献数据相差在 2 个标准差内,相关系数(R(2))为 0.88-0.91。用人肝细胞预测的数据也与临床数据拟合良好,表明对体内清除率的预测具有较高的准确性。关于预测 CLh, plasma 的数学模型,平行管和弥散模型的预测优于搅拌池模型,我们建议使用平行管模型,因为它在数学上更简单。总之,凝胶包埋肝细胞能很好地预测药物清除率,似乎是药物发现过程中的有用工具。