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特比萘芬与阿米替林或去甲替林药物相互作用持续存在的机制分析

Analysis of the Mechanism of Prolonged Persistence of Drug Interaction between Terbinafine and Amitriptyline or Nortriptyline.

作者信息

Mikami Akiko, Hori Satoko, Ohtani Hisakazu, Sawada Yasufumi

机构信息

Graduate School of Pharmaceutical Sciences, The University of Tokyo.

Interfaculty Initiative in Information Studies, The University of Tokyo.

出版信息

Biol Pharm Bull. 2017;40(7):1010-1020. doi: 10.1248/bpb.b16-01004.

Abstract

The purpose of the study was to quantitatively estimate and predict drug interactions between terbinafine and tricyclic antidepressants (TCAs), amitriptyline or nortriptyline, based on in vitro studies. Inhibition of TCA-metabolizing activity by terbinafine was investigated using human liver microsomes. Based on the unbound K values obtained in vitro and reported pharmacokinetic parameters, a pharmacokinetic model of drug interaction was fitted to the reported plasma concentration profiles of TCAs administered concomitantly with terbinafine to obtain the drug-drug interaction parameters. Then, the model was used to predict nortriptyline plasma concentration with concomitant administration of terbinafine and changes of area under the curve (AUC) of nortriptyline after cessation of terbinafine. The CYP2D6 inhibitory potency of terbinafine was unaffected by preincubation, so the inhibition seems to be reversible. Terbinafine competitively inhibited amitriptyline or nortriptyline E-10-hydroxylation, with unbound K values of 13.7 and 12.4 nM, respectively. Observed plasma concentrations of TCAs administered concomitantly with terbinafine were successfully simulated with the drug interaction model using the in vitro parameters. Model-predicted nortriptyline plasma concentration after concomitant nortriptylene/terbinafine administration for two weeks exceeded the toxic level, and drug interaction was predicted to be prolonged; the AUC of nortriptyline was predicted to be increased by 2.5- or 2.0- and 1.5-fold at 0, 3 and 6 months after cessation of terbinafine, respectively. The developed model enables us to quantitatively predict the prolonged drug interaction between terbinafine and TCAs. The model should be helpful for clinical management of terbinafine-CYP2D6 substrate drug interactions, which are difficult to predict due to their time-dependency.

摘要

该研究的目的是基于体外研究对特比萘芬与三环类抗抑郁药(TCAs)、阿米替林或去甲替林之间的药物相互作用进行定量评估和预测。使用人肝微粒体研究了特比萘芬对TCA代谢活性的抑制作用。基于体外获得的非结合K值和报道的药代动力学参数,将药物相互作用的药代动力学模型拟合到与特比萘芬同时给药的TCAs报道的血浆浓度曲线,以获得药物-药物相互作用参数。然后,该模型用于预测同时给予特比萘芬时去甲替林的血浆浓度以及特比萘芬停药后去甲替林曲线下面积(AUC)的变化。特比萘芬的CYP2D6抑制效力不受预孵育的影响,因此这种抑制似乎是可逆的。特比萘芬竞争性抑制阿米替林或去甲替林的E-10-羟基化,非结合K值分别为13.7和12.4 nM。使用体外参数,药物相互作用模型成功模拟了与特比萘芬同时给药的TCAs的观察到的血浆浓度。模型预测,同时给予去甲替林/特比萘芬两周后去甲替林的血浆浓度超过中毒水平,并且预测药物相互作用会延长;预测特比萘芬停药后0、3和6个月去甲替林的AUC分别增加2.5倍、2.0倍和1.5倍。所建立的模型使我们能够定量预测特比萘芬与TCAs之间延长的药物相互作用。该模型应有助于临床管理特比萘芬与CYP2D6底物药物之间的相互作用,由于其时间依赖性,这种相互作用难以预测。

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