Academic Journal

Application of physiologically based pharmacokinetic modeling in predicting drug–drug interactions for sarpogrelate hydrochloride in humans

التفاصيل البيبلوغرافية
العنوان: Application of physiologically based pharmacokinetic modeling in predicting drug–drug interactions for sarpogrelate hydrochloride in humans
المؤلفون: Min JS, Kim D, Park JB, Heo H, Bae SH, Seo JH, Oh E, Bae SK
المصدر: Drug Design, Development and Therapy, Vol Volume 10, Pp 2959-2972 (2016)
بيانات النشر: Dove Medical Press, 2016.
سنة النشر: 2016
المجموعة: LCC:Therapeutics. Pharmacology
مصطلحات موضوعية: Sarpogrelate hydrochloride, M-1, CYP2D6 inhibition, PBPK modeling, Drug-drug interaction, Therapeutics. Pharmacology, RM1-950
الوصف: Jee Sun Min,1 Doyun Kim,1 Jung Bae Park,1 Hyunjin Heo,1 Soo Hyeon Bae,2 Jae Hong Seo,1 Euichaul Oh,1 Soo Kyung Bae1 1Integrated Research Institute of Pharmaceutical Sciences, College of Pharmacy, The Catholic University of Korea, Bucheon, 2Department of Pharmacology, College of Medicine, The Catholic University of Korea, Seocho-gu, Seoul, South Korea Background: Evaluating the potential risk of metabolic drug–drug interactions (DDIs) is clinically important. Objective: To develop a physiologically based pharmacokinetic (PBPK) model for sarpogrelate hydrochloride and its active metabolite, (R,S)-1-{2-[2-(3-methoxyphenyl)ethyl]-phenoxy}-3-(dimethylamino)-2-propanol (M-1), in order to predict DDIs between sarpogrelate and the clinically relevant cytochrome P450 (CYP) 2D6 substrates, metoprolol, desipramine, dextromethorphan, imipramine, and tolterodine. Methods: The PBPK model was developed, incorporating the physicochemical and pharmacokinetic properties of sarpogrelate hydrochloride, and M-1 based on the findings from in vitro and in vivo studies. Subsequently, the model was verified by comparing the predicted concentration-time profiles and pharmacokinetic parameters of sarpogrelate and M-1 to the observed clinical data. Finally, the verified model was used to simulate clinical DDIs between sarpogrelate hydrochloride and sensitive CYP2D6 substrates. The predictive performance of the model was assessed by comparing predicted results to observed data after coadministering sarpogrelate hydrochloride and metoprolol. Results: The developed PBPK model accurately predicted sarpogrelate and M-1 plasma concentration profiles after single or multiple doses of sarpogrelate hydrochloride. The simulated ratios of area under the curve and maximum plasma concentration of metoprolol in the presence of sarpogrelate hydrochloride to baseline were in good agreement with the observed ratios. The predicted fold-increases in the area under the curve ratios of metoprolol, desipramine, imipramine, dextromethorphan, and tolterodine following single and multiple sarpogrelate hydrochloride oral doses were within the range of ≥1.25, but
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1177-8881
Relation: https://www.dovepress.com/application-of-physiologically-based-pharmacokinetic-modeling-in-predi-peer-reviewed-article-DDDT; https://doaj.org/toc/1177-8881
URL الوصول: https://doaj.org/article/3e976b9d7cbf4cbf9f0c61ab565cd431
رقم الانضمام: edsdoj.3e976b9d7cbf4cbf9f0c61ab565cd431
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