Literature DB >> 26045365

Use of a Physiologically Based Pharmacokinetic Model for Quantitative Prediction of Drug-Drug Interactions via CYP3A4 and Estimation of the Intestinal Availability of CYP3A4 Substrates.

Yoko Mano1, Yuichi Sugiyama2, Kiyomi Ito3.   

Abstract

The purpose of this study was to predict the drug-drug interactions (DDIs) via CYP3A4 by estimating the extent of hepatic CYP3A4 inhibition based on a physiologically based pharmacokinetic (PBPK) model of both substrate and inhibitor and the increase in the intestinal availability (Fg ) due to the enzyme inhibition. For the DDIs resulting from reversible inhibition of CYP3A4, the prediction using in vivo Ki values estimated from other clinical DDI studies and predicted in vivo Ki values calculated using the correlation between the log P and the in vivo Ki /in vitro Ki ratio was more accurate than that using in vitro Ki values. Incorporating inhibition of both intestinal and hepatic metabolism resulted in better prediction than that obtained considering inhibition in the liver alone, and all the DDIs (AUC increase by the inhibitor) were predicted within 2-fold accuracy when in vivo Ki values were used. In addition, Fg values were successfully back-calculated from the clinical DDI data based on the present model. In conclusion, the present PBPK model incorporating the in vivo Ki values was found to be useful for quantitative prediction of clinical DDIs and for estimation of the Fg values for CYP3A4 substrates for which intravenous data were not available.
© 2015 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  clinical trial simulations; cytochrome P450; drug interactions; intestinal metabolism; pharmacokinetics; physiologically based pharmacokinetic modeling

Mesh:

Substances:

Year:  2015        PMID: 26045365     DOI: 10.1002/jps.24495

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  8 in total

1.  Development of a Physiologically Based Pharmacokinetic Model for Sinogliatin, a First-in-Class Glucokinase Activator, by Integrating Allometric Scaling, In Vitro to In Vivo Exploration and Steady-State Concentration-Mean Residence Time Methods: Mechanistic Understanding of its Pharmacokinetics.

Authors:  Ling Song; Yi Zhang; Ji Jiang; Shuang Ren; Li Chen; Dongyang Liu; Xijing Chen; Pei Hu
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

2.  Preincubation With Everolimus and Sirolimus Reduces Organic Anion-Transporting Polypeptide (OATP)1B1- and 1B3-Mediated Transport Independently of mTOR Kinase Inhibition: Implication in Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interactions.

Authors:  Taleah Farasyn; Alexandra Crowe; Oliver Hatley; Sibylle Neuhoff; Khondoker Alam; Jean Kanyo; TuKiet T Lam; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2019-04-30       Impact factor: 3.534

3.  Pretreatment With Rifampicin and Tyrosine Kinase Inhibitor Dasatinib Potentiates the Inhibitory Effects Toward OATP1B1- and OATP1B3-Mediated Transport.

Authors:  Sonia Pahwa; Khondoker Alam; Alexandra Crowe; Taleah Farasyn; Sibylle Neuhoff; Oliver Hatley; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2017-04-01       Impact factor: 3.534

4.  Ethosome-Derived Invasomes as a Potential Transdermal Delivery System for Vardenafil Hydrochloride: Development, Optimization and Application of Physiologically Based Pharmacokinetic Modeling in Adults and Geriatrics.

Authors:  Hussein O Ammar; Mina Ibrahim Tadros; Nahla M Salama; Amira Mohsen Ghoneim
Journal:  Int J Nanomedicine       Date:  2020-08-06

5.  Mechanism of Enhanced Oral Absorption of a Nano-Drug Delivery System Loaded with Trimethyl Chitosan Derivatives.

Authors:  Ying Zhao; Shiyuan Lin; Ruiyue Fang; Yaling Shi; Wei Wu; Wei Zhang; Hui Chen
Journal:  Int J Nanomedicine       Date:  2022-07-29

6.  A Drug-Drug Interaction Study to Evaluate the Effect of TAS-303 on CYP3A Activity in the Small Intestine and Liver.

Authors:  Yuji Kumagai; Tomoe Fujita; Mika Maeda; Yoshinobu Sasaki; Makoto Nagaoka; Jinhong Huang; Toru Takenaka; Masaki Kawai
Journal:  J Clin Pharmacol       Date:  2020-02-05       Impact factor: 3.126

7.  Refined Prediction of Pharmacokinetic Kratom-Drug Interactions: Time-Dependent Inhibition Considerations.

Authors:  Rakshit S Tanna; Dan-Dan Tian; Nadja B Cech; Nicholas H Oberlies; Allan E Rettie; Kenneth E Thummel; Mary F Paine
Journal:  J Pharmacol Exp Ther       Date:  2020-10-22       Impact factor: 4.030

Review 8.  The Segregated Intestinal Flow Model (SFM) for Drug Absorption and Drug Metabolism: Implications on Intestinal and Liver Metabolism and Drug-Drug Interactions.

Authors:  K Sandy Pang; H Benson Peng; Keumhan Noh
Journal:  Pharmaceutics       Date:  2020-04-01       Impact factor: 6.321

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.