Literature DB >> 31087553

Physiologically Based Pharmacokinetic Modeling to Evaluate Formulation Factors Influencing Bioequivalence of Metoprolol Extended-Release Products.

Sumit Basu1, Haitao Yang1, Lanyan Fang2, Mario Gonzalez-Sales2, Liang Zhao2, Mirjam N Trame1, Lawrence Lesko1, Stephan Schmidt1.   

Abstract

The University of Florida Center for Pharmacometrics and Systems Pharmacology and the Food and Drug Administration Office of Generic Drugs have collaborated on a research project to develop a mechanism- and risk-based strategy that systematically investigates postmarketing reports of therapeutic inequivalence following the switch between brand and generic drug products. In this study we developed and qualified a physiologically based pharmacokinetic model to systematically investigate the influence of drug- and formulation-related properties on the oral absorption and bioequivalence of modified-release products using metoprolol as an example. Our findings show that the properties of the release-controlling polymer are the critical attributes for in vitro dissolution, in vivo absorption, and systemic exposure (ie, pharmacokinetics) and, thus, the bioequivalence of metoprolol extended-release products rather than the properties of the drug itself. Differences in dissolution rate can result in significant differences in maximum plasma concentration but not in area under the concentration-time curve.
© 2019, The American College of Clinical Pharmacology.

Entities:  

Keywords:  Absorption modeling; Bioequivalence; Bioinequivalence; Extended Release; Generic drug products; Metoprolol; Physiologically based pharmacokinetic modeling

Year:  2019        PMID: 31087553     DOI: 10.1002/jcph.1017

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  8 in total

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Journal:  AAPS PharmSciTech       Date:  2022-04-06       Impact factor: 3.246

Review 2.  Budding Multi-matrix Technology-a Retrospective Approach, Deep Insights, and Future Perspectives.

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Journal:  AAPS PharmSciTech       Date:  2021-11-03       Impact factor: 3.246

3.  Development of Extended-Release Mini-Tablets Containing Metoprolol Supported by Design of Experiments and Physiologically Based Biopharmaceutics Modeling.

Authors:  Michele Georges Issa; Natalia Vieira de Souza; Bruna Wenyi Chuang Jou; Marcelo Dutra Duque; Humberto Gomes Ferraz
Journal:  Pharmaceutics       Date:  2022-04-19       Impact factor: 6.525

Review 4.  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

5.  A randomized, cross-over trial of metoprolol succinate formulations to evaluate PK and PD end points for therapeutic equivalence.

Authors:  Scott A Mosley; Sarah Kim; Stephan Schmidt; Larisa H Cavallari; Nihal El Rouby; Karthik Lingineni; Valvanera Vozmediano Esteban; Yan Gong; Yiqing Chen; David Estores; Kairui Feng; Hyewon Kim; Minori Kinjo; Taimour Langaee; Zhichuan Li; Siegfried O F Schmidt; Julie A Johnson; Reginald F Frye; Lanyan Lucy Fang; Liang Zhao; Philip F Binkley
Journal:  Clin Transl Sci       Date:  2022-05-21       Impact factor: 4.438

Review 6.  Pharmacometrics, Physiologically Based Pharmacokinetics, Quantitative Systems Pharmacology-What's Next?-Joining Mechanistic and Epidemiological Approaches.

Authors:  Stephan Schmidt; Sarah Kim; Valvanera Vozmediano; Rodrigo Cristofoletti; Almut G Winterstein; Joshua D Brown
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-06-09

7.  Physiologically-based pharmacokinetics modeling to investigate formulation factors influencing the generic substitution of dabigatran etexilate.

Authors:  Nashid Farhan; Rodrigo Cristofoletti; Sumit Basu; Sarah Kim; Karthik Lingineni; Sibo Jiang; Joshua D Brown; Lanyan Lucy Fang; Lawrence J Lesko; Stephan Schmidt
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-02-10

Review 8.  In Vitro Dissolution and in Silico Modeling Shortcuts in Bioequivalence Testing.

Authors:  Moawia M Al-Tabakha; Muaed J Alomar
Journal:  Pharmaceutics       Date:  2020-01-04       Impact factor: 6.321

  8 in total

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