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Impact of Ignoring Extraction Ratio When Predicting Drug-Drug Interactions Fraction Metabolized and Intestinal First-Pass Contribution

机译:预测药物时忽略提取率的影响 相互作用部分代谢和肠道首过贡献

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摘要

Many mathematical models for in vitro to in vivo prediction of drug-drug interactions (DDIs) of orally administered victim drugs have been developed. However, to date, none of these models have been applicable to all intravenously administered victim drugs. We derived and conducted a sensitivity/error analysis of a modification to the existing multiple mode interaction prediction model such that it is applicable to all intravenously administered victim drugs. Using this model we showed that ignoring the hepatic extraction ratio (EH) (as low as 0.3) of intravenously administered victim drugs can result in 1) substantial underestimation of fm, CYPi (the fraction of hepatic clearance of the victim drug via a given enzymatic pathway) and 2) error in dissecting the contribution of intestinal and hepatic components of DDIs for orally administered drugs. Using this model we describe DDI boundaries (degree of inhibition or induction) at which ignoring the EH of commonly used victim drugs results in ≥30% error in the predicted area under the concentration-time curve (AUC) ratio or contribution of intestinal interaction to a DDI (CYP3A probes only). For the most widely used victim drug midazolam, these boundaries for AUC ratio are net inhibition (I/Ki or λ/kdeg) ≥1.3 or fold induction ≥2.1; for intestinal contribution the boundaries are 0.37 and 1.5, respectively. To accurately predict the intravenous AUC ratio, intestinal contribution, or fm, CYPi 1) for all induction DDIs irrespective of EH of the victim drug and 2) for modest to potent inhibition DDIs even when the EH is moderate (≥0.3), we propose that our model be used.
机译:已经开发出许多数学模型,用于体外或体内预测口服给药的受害药物之间的药物-药物相互作用(DDI)。然而,迄今为止,这些模型均未适用于所有静脉内施用的受害药物。我们得出并修改了对现有多模式相互作用预测模型的修改,进行敏感性/错误分析,以使其适用于所有静脉内施用的受害药物。使用该模型,我们发现忽略静脉内施用的受害药物的肝提取比(EH)(低至0.3)会导致1)fm,CYPi(通过给定酶促剂清除肝药物的清除率)大大低估途径)和2)剖析口服药物中DDI的肠道和肝脏成分的贡献方面的错误。使用此模型,我们描述了DDI边界(抑制或诱导程度),在该边界处忽略常用受害者药物的EH会导致浓度-时间曲线(AUC)比下的预测区域中的≥30%误差或肠道相互作用对DDI的贡献DDI(仅适用于CYP3A探针)。对于使用最广泛的受害者药物咪达唑仑,AUC比的这些界限是净抑制(I / Ki或 λ/ kdeg)≥1.3或倍数归纳 ≥2.1;对于肠道贡献,边界为0.37和1.5, 分别。为了准确预测肠内静脉AUC的比例 所有感应DDI的贡献或CYPi 1) 不论受害药物的EH为何,以及2)中度至强效抑制DDI 即使当EH为中等(≥0.3)时,我们还是建议我们的模型为 用过的。

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