Literature DB >> 24056057

Understanding the in vivo performance of enteric coated tablets using an in vitro-in silico-in vivo approach: case example diclofenac.

Atsushi Kambayashi1, Henning Blume, Jennifer Dressman.   

Abstract

Individual pharmacokinetics after administration of enteric coated tablets are often highly variable and this has been ascribed to the interaction of the dosage form with the physiology of the gastrointestinal tract. This research aimed to explore the influence of interactions between enteric coated tablets and physiological factors such as gastric and intestinal pH as well as gastric emptying on the release of drug from the dosage form and the subsequent plasma profile, using diclofenac as a case example. A physiologically based pharmacokinetic (PBPK) model for monolithic enteric coated dosage forms was designed and coupled with biorelevant dissolution results to predict PK profiles of diclofenac from Voltaren® tablets in both fasted and fed humans. The paddle method was used to obtain the dissolution profiles of diclofenac in biorelevant media. The Noyes-Whitney model was employed to describe the dissolution kinetics. The PBPK model was set up using STELLA® software. A single unit enteric coated tablet was assumed to be emptied from stomach only with the house-keeping wave. Timing of the emptying was simulated using a random number generator to statistically estimate gastric emptying times after ingestion. The lag times and the dissolution rate used as input parameters in the STELLA® model were adjusted according to the pre-exposure period. The oral PK profiles were predicted for each virtual subject individually, and then the mean profiles and standard deviations were calculated. The dissolution profiles were highly affected by the period of pre-exposure in FaSSGF. A long period of pre-exposure of the tablet prolonged the lag time and decreased the dissolution rate. The results of the pharmacokinetic simulations showed that not only the mean profiles in the fasted state but also the variability could be predicted successfully using data generated for the individual virtual subjects. The results emphasize the importance of accounting for the range of pH profiles and gastrointestinal transit in the target population when predicting plasma profiles of enteric coated dosage forms and point to problems in demonstrating bioequivalence for dosage forms of this type.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biorelevant media; Diclofenac; Modeling and simulation; Monolithic enteric coated tablet; Oral administration; Pharmacokinetics

Mesh:

Substances:

Year:  2013        PMID: 24056057     DOI: 10.1016/j.ejpb.2013.09.009

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  8 in total

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Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

2.  Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach.

Authors:  Junshan Qiu; Marilyn Martinez; Ram Tiwari
Journal:  AAPS J       Date:  2016-02-19       Impact factor: 4.009

Review 3.  Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.

Authors:  Clara Hartmanshenn; Megerle Scherholz; Ioannis P Androulakis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

Review 4.  Clinical Drug-Drug Pharmacokinetic Interaction Potential of Sucralfate with Other Drugs: Review and Perspectives.

Authors:  Suresh P Sulochana; Muzeeb Syed; Devaraj V Chandrasekar; Ramesh Mullangi; Nuggehally R Srinivas
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2016-10       Impact factor: 2.441

5.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08

Review 6.  In Silico Modeling and Simulation to Guide Bioequivalence Testing for Oral Drugs in a Virtual Population.

Authors:  Fan Zhang; Ranran Jia; Huitao Gao; Xiaofei Wu; Bo Liu; Hongyun Wang
Journal:  Clin Pharmacokinet       Date:  2021-06-30       Impact factor: 5.577

7.  Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction.

Authors:  Jingtao Lu; Michael-Rock Goldsmith; Christopher M Grulke; Daniel T Chang; Raina D Brooks; Jeremy A Leonard; Martin B Phillips; Ethan D Hypes; Matthew J Fair; Rogelio Tornero-Velez; Jeffre Johnson; Curtis C Dary; Yu-Mei Tan
Journal:  PLoS Comput Biol       Date:  2016-02-12       Impact factor: 4.475

8.  A STELLA simulation model for in vitro dissolution testing of respirable size particles.

Authors:  Basanth Babu Eedara; Ian G Tucker; Shyamal C Das
Journal:  Sci Rep       Date:  2019-12-06       Impact factor: 4.379

  8 in total

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