Literature DB >> 23696038

Utilizing in vitro and PBPK tools to link ADME characteristics to plasma profiles: case example nifedipine immediate release formulation.

Christian Wagner1, Kirstin Thelen, Stefan Willmann, Arzu Selen, Jennifer B Dressman.   

Abstract

One of the most prominent food-drug interactions is the inhibition of intestinal cytochrome P450 (CYP) 3A enzymes by grapefruit juice ingredients, and, as many drugs are metabolized via CYP 3A, this interaction can be of clinical importance. Calcium channel-blocking agents of the dihydropyridine type, such as felodipine and nifedipine, are subject to extensive intestinal first pass metabolism via CYP 3A, thus resulting in significantly enhanced in vivo exposure of the drug when administered together with grapefruit juice. Physiologically based pharmacokinetic (PBPK) modeling was used to simulate pharmacokinetics of a nifedipine immediate release formulation following concomitant grapefruit juice ingestion, that is, after inhibition of small intestinal CYP 3A enzymes. For this purpose, detailed data about CYP 3A levels were collected from the literature and implemented into commercial PBPK software. As literature reports show that grapefruit juice (i) leads to a marked delay in gastric emptying, and (ii) rapidly lowers the levels of intestinal CYP 3A enzymes, inhibition of intestinal first pass metabolism following ingestion of grapefruit juice was simulated by altering the intestinal CYP 3A enzyme levels and simultaneously decelerating the gastric emptying rate. To estimate the in vivo dispersion and dissolution behavior of the formulation, dissolution tests in several media simulating both the fasted and fed state stomach and small intestine were conducted, and the results from the in vitro dissolution tests were used as input function to describe the in vivo dissolution of the drug. Plasma concentration-time profiles of the nifedipine immediate release formulation both with and without simultaneous CYP 3A inhibition were simulated, and the results were compared with data gathered from the literature. Using this approach, nifedipine plasma profiles could be simulated well both with and without enzyme inhibition. A reduction in small intestinal CYP 3A levels by 60% was found to yield the best results, with simulated nifedipine concentration-time profiles within 20% of the in vivo observed results. By additionally varying the dissolution input of the PBPK model, a link between the dissolution characteristics of the formulation and its in vivo performance could be established.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  absorption; bioavailability; computational ADME; cytochrome P450; dissolution; drug metabolizing enzymes; first-pass metabolism; pharmacokinetics; quality by design (QbD)

Mesh:

Substances:

Year:  2013        PMID: 23696038     DOI: 10.1002/jps.23611

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


  6 in total

1.  Continuous Intestinal Absorption Model Based on the Convection-Diffusion Equation.

Authors:  Swati Nagar; Richard C Korzekwa; Ken Korzekwa
Journal:  Mol Pharm       Date:  2017-07-31       Impact factor: 4.939

2.  The BioGIT System: a Valuable In Vitro Tool to Assess the Impact of Dose and Formulation on Early Exposure to Low Solubility Drugs After Oral Administration.

Authors:  Alexandros Kourentas; Maria Vertzoni; Vicky Barmpatsalou; Patrick Augustijns; Stefania Beato; James Butler; Rene Holm; Neils Ouwerkerk; Joerg Rosenberg; Tomokazu Tajiri; Christer Tannergren; Mira Symillides; Christos Reppas
Journal:  AAPS J       Date:  2018-05-24       Impact factor: 4.009

Review 3.  Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status.

Authors:  Mengyao Li; Ping Zhao; Yuzhuo Pan; Christian Wagner
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-23

4.  Comparing Predictions of a PBPK Model for Cyclosporine With Drug Levels From Therapeutic Drug Monitoring.

Authors:  Sonja E Zapke; Stefan Willmann; Scott-Oliver Grebe; Kristin Menke; Petra A Thürmann; Sven Schmiedl
Journal:  Front Pharmacol       Date:  2021-05-14       Impact factor: 5.810

5.  Building in-house PBPK modelling tools for oral drug administration from literature information.

Authors:  Silvia Grandoni; Nicola Cesari; Giandomenico Brogin; Paola Puccini; Paolo Magni
Journal:  ADMET DMPK       Date:  2019-02-23

6.  Use of Physiologically Based Pharmacokinetic (PBPK) Modeling for Predicting Drug-Food Interactions: an Industry Perspective.

Authors:  Arian Emami Riedmaier; Kevin DeMent; James Huckle; Phil Bransford; Cordula Stillhart; Richard Lloyd; Ravindra Alluri; Sumit Basu; Yuan Chen; Varsha Dhamankar; Stephanie Dodd; Priyanka Kulkarni; Andrés Olivares-Morales; Chi-Chi Peng; Xavier Pepin; Xiaojun Ren; Thuy Tran; Christophe Tistaert; Tycho Heimbach; Filippos Kesisoglou; Christian Wagner; Neil Parrott
Journal:  AAPS J       Date:  2020-09-27       Impact factor: 4.009

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.