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A physiologically based pharmacokinetic model to predict disposition of CYP2D6 and CYP1A2 metabolized drugs in pregnant women

机译:基于生理学的药代动力学模型预测孕妇中CYP2D6和CYP1A2代谢药物的处置

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摘要

Conducting pharmacokinetic (PK) studies in pregnant women is challenging. Therefore, we asked if a physiologically based pharmacokinetic (PBPK) model could be used to evaluate different dosing regimens for pregnant women. We refined and verified our previously published pregnancy PBPK model by incorporating cytochrome P450 CYP1A2 suppression (based on caffeine PK) and CYP2D6 induction (based on metoprolol PK) into the model. This model accounts for gestational age-dependent changes in maternal physiology and hepatic CYP3A activity. For verification, the disposition of CYP1A2-metabolized drug theophylline (THEO) and CYP2D6-metabolized drugs paroxetine (PAR), dextromethorphan (DEX), and clonidine (CLO) during pregnancy was predicted. Our PBPK model successfully predicted THEO disposition during the third trimester (T3). Predicted mean postpartum to third trimester (PP:T3) ratios of THEO area under the curve (AUC), maximum plasma concentration, and minimum plasma concentration were 0.76, 0.95, and 0.66 versus observed values 0.75, 0.89, and 0.72, respectively. The predicted mean PAR steady-state plasma concentration (Css) ratio (PP:T3) was 7.1 versus the observed value 3.7. Predicted mean DEX urinary ratio (UR) (PP:T3) was 2.9 versus the observed value 1.9. Predicted mean CLO AUC ratio (PP:T 3) was 2.2 versus the observed value 1.7. Sensitivity analysis suggested that a 100% induction of CYP2D6 during T3 was required to recover the observed PP:T3 ratios of PAR Css, DEX UR, and CLO AUC. Based on these data, it is prudent to conclude that the magnitude of hepatic CYP2D6 induction during T3 ranges from 100 to 200%. Our PBPK model can predict the disposition of CYP1A2, 2D6, and 3A drugs during pregnancy.
机译:在孕妇中进行药代动力学(PK)研究具有挑战性。因此,我们询问是否可以使用基于生理的药代动力学(PBPK)模型来评估孕妇的不同给药方案。我们通过将细胞色素P450 CYP1A2抑制(基于咖啡因PK)和CYP2D6诱导(基于美托洛尔PK)纳入模型来完善和验证我们先前发布的妊娠PBPK模型。该模型说明孕产妇生理和肝CYP3A活性的胎龄依赖性变化。为了验证,预测了怀孕期间CYP1A2代谢的药物茶碱(THEO)和CYP2D6代谢的药物帕罗西汀(PAR),右美沙芬(DEX)和可乐定(CLO)的处置。我们的PBPK模型成功预测了妊娠晚期(T3)的THEO病情。曲线下的THEO面积(AUC),最大血浆浓度和最小血浆浓度的预测平均产后与孕晚期(PP:T3)之比分别为0.76、0.95和0.66,而观察值分别为0.75、0.89和0.72。预测的平均PAR稳态血浆浓度(Css)比(PP:T3)为7.1,而观察值为3.7。预测的平均DEX尿比(UR)(PP:T3)为2.9,而观察值为1.9。预测的平均CLO AUC比(PP:T 3)为2.2,而观测值为1.7。敏感性分析表明,在T3期间需要100%诱导CYP2D6才能恢复观察到的PAR Css,DEX UR和CLO AUC的PP:T3比。基于这些数据,谨慎地得出结论,T3期间肝脏CYP2D6的诱导幅度为100%至200%。我们的PBPK模型可以预测怀孕期间CYP1A2、2D6和3A药物的处置。

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