Department of Drug Metabolism and Pharmacokinetics, Ryvu Therapeutics S.A., Sternbacha 2 Street, 30-394, Krakow, Poland.
Department of Analytical Chemistry and Biochemistry, Faculty of Materials Science and Ceramics, AGH University of Krakow, Mickiewicza 30 Street, 30-059, Krakow, Poland.
Eur J Drug Metab Pharmacokinet. 2024 May;49(3):393-403. doi: 10.1007/s13318-024-00895-3. Epub 2024 Apr 20.
The prediction of pharmacokinetic parameters for drugs metabolised by cytochrome P450 enzymes has been the subject of active research for many years, while the application of in vitro-in vivo extrapolation (IVIVE) techniques for non-cytochrome P450 enzymes has not been thoroughly evaluated. There is still no established quantitative method for predicting hepatic clearance of drugs metabolised by uridine 5'-diphospho-glucuronosyltransferases (UGTs), not to mention those which undergo hepatic uptake. The objective of the study was to predict the human hepatic clearance for telmisartan based on in vitro metabolic stability and hepatic uptake results.
Telmisartan was examined in liver systems, allowing to estimate intrinsic clearance (CL) based on the substrate disappearance rate with the use of liquid chromatography tandem mass spectrometry (LC-MS/MS) technique. Obtained CL values were corrected for corresponding unbound fractions. Prediction of human hepatic clearance was made from scaled unbound CL data with the use of the well-stirred model, and finally referenced to the literature value of observed clearance in humans, allowing determination of the essential scaling factors.
The in vitro scaled CL by UGT1A3 was assessed using three systems, human hepatocytes, liver microsomes, and recombinant enzymes. Obtained values were scaled and hepatic metabolism clearance was predicted, resulting in significant clearance underprediction. Utilization of the extended clearance concept (ECC) and hepatic uptake improved prediction of hepatic metabolism clearance. The scaling factors for hepatocytes, assessing the in vitro-in vivo difference, changed from sixfold difference to only twofold difference with the application of the ECC.
The study showed that taking into consideration hepatic uptake of a drug allows us to obtain satisfactory scaling factors, hence enabling the prediction of in vivo hepatic glucuronidation from in vitro data.
多年来,预测细胞色素 P450 酶代谢的药物的药代动力学参数一直是研究热点,而对于非细胞色素 P450 酶的体外-体内外推(IVIVE)技术的应用尚未得到彻底评估。目前,仍没有建立用于预测尿苷二磷酸葡萄糖醛酸转移酶(UGTs)代谢药物的肝清除率的定量方法,更不用说那些经历肝摄取的药物了。本研究旨在根据体外代谢稳定性和肝摄取结果预测替米沙坦的人体肝清除率。
在肝系统中检查替米沙坦,允许使用液相色谱串联质谱(LC-MS/MS)技术基于底物消失率估计内在清除率(CL)。获得的 CL 值针对相应的未结合分数进行了校正。使用搅拌良好的模型从未结合 CL 的比例数据预测人体肝清除率,并最终参考人体观察到的清除率的文献值,以确定基本的缩放因子。
使用三种系统(人肝细胞、肝微粒体和重组酶)评估了 UGT1A3 的体外比例 CL。对获得的值进行了缩放,并预测了肝代谢清除率,导致明显的清除率低估。利用扩展清除率概念(ECC)和肝摄取可改善肝代谢清除率的预测。应用 ECC 后,评估细胞外-细胞内差异的肝细胞缩放因子从六倍差异变为仅两倍差异。
本研究表明,考虑到药物的肝摄取,可以获得令人满意的缩放因子,从而能够从体外数据预测体内葡萄糖醛酸化。