Literature DB >> 22334460

Biowaiver approach for biopharmaceutics classification system class 3 compound metformin hydrochloride using in silico modeling.

John R Crison1, Peter Timmins, Anther Keung, Vijay V Upreti, David W Boulton, Barry J Scheer.   

Abstract

The dependency of metformin in vivo disposition on the rate and extent of dissolution was studied. The analysis includes the use of fundamental principles of drug input, permeability, and intestinal transit time within the framework of a compartmental absorption transit model to predict key pharmacokinetic (PK) parameters and then compare the results to clinical data. The simulations show that the maximum plasma concentration (C(max) ) and area under the curve (AUC) are not significantly affected when 100% of drug is released within 2 h of oral dosing, which was confirmed with corresponding human PK data. Furthermore, in vitro dissolution profiles measured in aqueous buffers at pH values of 1.2, 4.5, and 6.8 were slower than in vivo release profiles generated by deconvolution of metformin products that were bioequivalent. On the basis of this work, formulations of metformin that release 100% in vitro in a   time period equal to or less than two hours are indicated to be bioequivalent. The use of modeling offers a mechanistic-based approach for demonstrating acceptable bioperformance for metformin formulations without having to resort to in vivo bioequivalence studies and may be more robust than statistical comparison of in vitro release profiles. This work further provides a strategy for considering Biopharmaceutics Classification System (BCS) Class 3 compounds to be included under biowaiver guidelines as for BCS Class 1 compounds.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22334460     DOI: 10.1002/jps.23063

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


  5 in total

Review 1.  The use of modeling tools to drive efficient oral product design.

Authors:  Neil R Mathias; John Crison
Journal:  AAPS J       Date:  2012-05-30       Impact factor: 4.009

2.  Application of Absorption Modeling in Rational Design of Drug Product Under Quality-by-Design Paradigm.

Authors:  Filippos Kesisoglou; Amitava Mitra
Journal:  AAPS J       Date:  2015-05-22       Impact factor: 4.009

3.  Integrated Multi-stakeholder Systems Thinking Strategy: Decision-making with Biopharmaceutics Risk Assessment Roadmap (BioRAM) to Optimize Clinical Performance of Drug Products.

Authors:  Arzu Selen; Anette Müllertz; Filippos Kesisoglou; Rodney J Y Ho; Jack A Cook; Paul A Dickinson; Talia Flanagan
Journal:  AAPS J       Date:  2020-07-27       Impact factor: 4.009

4.  Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug.

Authors:  Xuan Ding; Jeffrey S Day; David C Sperry
Journal:  AAPS J       Date:  2016-07-12       Impact factor: 4.009

5.  Fixed-dose combination orally disintegrating tablets to treat cardiovascular disease: formulation, in vitro characterization and physiologically based pharmacokinetic modeling to assess bioavailability.

Authors:  Thomas J Dennison; Julian C Smith; Raj K Badhan; Afzal R Mohammed
Journal:  Drug Des Devel Ther       Date:  2017-03-16       Impact factor: 4.162

  5 in total

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