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Prediction of Inter-individual Variability in the Pharmacokinetics of CYP2C19 Substrates in Humans

机译:CYP2C19底物在人体内的药代动力学中个体间差异的预测

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Significant inter-individual variability of exposure for CYP2C19 substrates may be only partly due to genetic polymorphism. Therefore, the in vivo inter-individual variability in hepatic intrinsic clearance (CLint,h) of CYP2C19 substrates was estimated from reported AUC values using Monte Carlo simulations. The coefficient of variation (CV) for CLint,h in poor metabolizers (PM) expected from genotypes CYP2C19*2/*2 , CYP2C19*3/*3 or CYP2C19*2/*3 was estimated as 25.8% from the CV for AUC of omeprazole in PMs. With this, CVs of CLint,h in extensive metabolizers (EM: CYP2C19*1/*1 ), intermediate metabolizers (IM: CYP2C19*1/*2 or *3 ) and ultra-rapid metabolizers (UM), CYP2C19*17/*17 and *1/*17 , were estimated as 66.0%, 55.8%, 6.8% and 48.0%, respectively. To validate these CVs, variability in the AUC of CYP2C19 substrates lansoprazole and rabeprazole, partially metabolized by CYP3A4 in EMs and IMs, were simulated using the CV in CLint,h for CYP2C19 EMs and IMs and 33% of the CV previously reported for CYP3A4. Published values were within 2.5–97.5 percentile range of simulated CVs for the AUC. Furthermore, simulated CVs for the AUC of omeprazole and lansoprazole in ungenotyped populations were comparable with published values. Thus, estimated CLint,h variability can predict variability in the AUC of drugs metabolized not only by CYP2C19 but also by multiple enzymes.
机译:CYP2C19底物暴露的个体间显着差异可能仅部分原因是遗传多态性。因此,CYP2C19底物的肝脏固有清除率(CL h )的体内个体间差异是使用Monte Carlo模拟从报告的AUC值估算的。估算了基因型CYP2C19 * 2 / * 2,CYP2C19 * 3 / * 3或CYP2C19 * 2 / * 3预期的弱代谢者(PM)中CL int,h 的变异系数(CV)占PM中奥美拉唑AUC的CV的25.8%。这样,广泛代谢者(EM:CYP2C19 * 1 / * 1),中间代谢者(IM:CYP2C19 * 1 / * 2或* 3)和超快速代谢者的CL int,h 的CV (UM),CYP2C19 * 17 / * 17和* 1 / * 17分别估计为66.0%,55.8%,6.8%和48.0%。为了验证这些CV,使用CYP2C19 EM和IM的CL 中的CV模拟了CYP2C19底物lansoprazole和rabeprazole在EM和IM中部分被CYP3A4代谢的AUC的变异性。 CYP3A4先前报道的CV的百分比。发布的值在AUC的模拟CV的2.5%至97.5%范围内。此外,未定型人群中奥美拉唑和兰索拉唑的AUC的模拟CV与公开值相当。因此,估计的CL h,sub 变异性可以预测不仅被CYP2C19而且被多种酶代谢的药物的AUC的变异性。

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