Drug-Drug Interaction Section (DDI) Drug Metabolism and Pharmacokinetics (DMPK), Novartis Institutes of Biomedical Research (NIBR) Novartis Pharma AG,, WSJ-153.2.02., Novartis Campus, CH-4002, Basel, Switzerland.
Pharm Res. 2012 Feb;29(2):603-17. doi: 10.1007/s11095-011-0607-2. Epub 2011 Oct 20.
Drug elimination in the liver consists of uptake, metabolism, biliary excretion, and sinusoidal efflux from the hepatocytes to the blood. We aimed to establish an accurate prediction method for liver clearance in rats, considering these four elimination processes. In vitro assays were combined to achieve improved predictions.
In vitro clearances for uptake, metabolism, biliary excretion and sinusoidal efflux were determined for 13 selected compounds with various physicochemical and pharmacokinetic properties. Suspended hepatocytes, liver microsomes and sandwich-cultured hepatocytes were evaluated as in vitro models. Based on the individual processes, in vivo hepatic clearance was calculated. Subsequently, the predicted clearances were compared with the corresponding in vivo values from literature.
Using this in vitro-in vivo extrapolation method good linear correlation was observed between predicted and reported clearances. Linear regression analysis revealed much improved prediction for the novel method (r(2) = 0.928) as compared to parameter analysis using hepatocyte uptake only (r(2) = 0.600), microsomal metabolism only (r(2) = 0.687) or overall hepatobiliary excretion in sandwich-cultured hepatocytes (r(2) = 0.321).
In this new attempt to predict hepatic elimination under consideration of multiple clearance processes, in vivo hepatic clearances of 13 compounds in rats were well predicted using an IVIVE analysis method based on in vitro assays.
肝脏中的药物消除包括摄取、代谢、胆汁排泄和从肝细胞向血液的窦状隙流出。我们旨在建立一种考虑这四种消除过程的准确预测大鼠肝清除率的方法。结合体外试验以实现更准确的预测。
对 13 种具有不同理化性质和药代动力学性质的化合物进行了摄取、代谢、胆汁排泄和窦状隙流出的体外清除率测定。悬浮肝细胞、肝微粒体和三明治培养肝细胞被评估为体外模型。基于各个过程,计算了体内肝脏清除率。然后,将预测的清除率与文献中相应的体内值进行比较。
使用这种体外-体内外推法,预测清除率与报告的清除率之间观察到良好的线性相关性。线性回归分析表明,与仅使用肝细胞摄取(r²=0.600)、仅使用微粒体代谢(r²=0.687)或三明治培养肝细胞中的总体肝胆排泄(r²=0.321)进行参数分析相比,新方法的预测得到了很大改善(r²=0.928)。
在考虑多种清除过程的情况下,本研究首次尝试预测肝脏清除率,使用基于体外试验的 IVIVE 分析方法,很好地预测了大鼠 13 种化合物的体内肝清除率。