Literature DB >> 33498960

An In Vitro-In Vivo Simulation Approach for the Prediction of Bioequivalence.

Marilena Vlachou1, Vangelis Karalis1.   

Abstract

The aim of this study was to develop a new in vitro-in vivo simulation (IVIVS) approach in order to predict the outcome of a bioequivalence study. The predictability of the IVIVS procedure was evaluated through its application in the development process of a new generic product of amlodipine/irbesartan/hydrochlorothiazide. The developed IVIVS methodology is composed of three parts: (a) mathematical description of in vitro dissolution profiles, (b) mathematical description of in vivo kinetics, and (c) development of joint in vitro-in vivo simulations. The entire programming was done in MATLAB® and all created scripts were validated through other software. The IVIVS approach can be implemented for any number of subjects, clinical design, variability and can be repeated for thousands of times using Monte Carlo techniques. The probability of success of each scenario is recorded and finally, an overall assessment is made in order to select the most suitable batch. Alternatively, if the IVIVS shows reduced probability of BE success, the R&D department is advised to reformulate the product. In this study, the IVIVS approach predicted successfully the BE outcome of the three drugs. During the development of generics, the IVIVS approach can save time and expenses.

Entities:  

Keywords:  bioequivalence; drug release; in vitro dissolution; modeling and simulation

Year:  2021        PMID: 33498960      PMCID: PMC7865526          DOI: 10.3390/ma14030555

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  53 in total

1.  Scaling or wider bioequivalence limits for highly variable drugs and for the special case of C(max).

Authors:  L Tothfalusi; L Endrenyi; K K Midha
Journal:  Int J Clin Pharmacol Ther       Date:  2003-05       Impact factor: 1.366

Review 2.  Current challenges in bioequivalence, quality, and novel assessment technologies for topical products.

Authors:  Avraham Yacobi; Vinod P Shah; Edward D Bashaw; Eva Benfeldt; Barbara Davit; Derek Ganes; Tapash Ghosh; Isadore Kanfer; Gerald B Kasting; Lindsey Katz; Robert Lionberger; Guang Wei Lu; Howard I Maibach; Lynn K Pershing; Russell J Rackley; Andre Raw; Chinmay G Shukla; Kailas Thakker; Nathalie Wagner; Elizabeta Zovko; Majella E Lane
Journal:  Pharm Res       Date:  2014-01-07       Impact factor: 4.200

3.  In vitro dissolution testing with flow-through method: a technical note.

Authors:  Zongming Gao
Journal:  AAPS PharmSciTech       Date:  2009-11-24       Impact factor: 3.246

4.  Population-based meta-analysis of hydrochlorothiazide pharmacokinetics.

Authors:  Scott A Van Wart; Susan E Shoaf; Suresh Mallikaarjun; Donald E Mager
Journal:  Biopharm Drug Dispos       Date:  2013-10-10       Impact factor: 1.627

5.  Bioequivalence study of two different film-coated tablet formulations of losartan-hydrochlorothiazide in healthy volunteers.

Authors:  Rita Neves; Susana Almeida; Augusto Filipe; Ana Cristina Franco Spínola; Zohreh Abolfathi; Mercedes Yritia; Jordi Ortuño
Journal:  Arzneimittelforschung       Date:  2008

Review 6.  Mathematical models in drug delivery: how modeling has shaped the way we design new drug delivery systems.

Authors:  Nicholas A Peppas; Balaji Narasimhan
Journal:  J Control Release       Date:  2014-07-04       Impact factor: 9.776

7.  Establishing in vitro-in vivo correlation for antibody drug conjugate efficacy: a PK/PD modeling approach.

Authors:  Dhaval K Shah; Frank Loganzo; Nahor Haddish-Berhane; Sylvia Musto; Hallie S Wald; Frank Barletta; Judy Lucas; Tracey Clark; Steve Hansel; Alison Betts
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-02-08       Impact factor: 2.745

8.  In Vitro Biopredictive Methods: A Workshop Summary Report.

Authors:  Xavier J H Pepin; Jennifer Dressman; Neil Parrott; Poonam Delvadia; Amitava Mitra; Xinyuan Zhang; Andrew Babiskin; Vidula Kolhatkar; Paul Seo; Lynne S Taylor; Erik Sjögren; James M Butler; Edmund Kostewicz; Christer Tannergren; Mirko Koziolek; Filippos Kesisoglou; André Dallmann; Yang Zhao; Sandra Suarez-Sharp
Journal:  J Pharm Sci       Date:  2020-09-19       Impact factor: 3.534

9.  In Vitro Dissolution as a Tool for Formulation Selection: Telmisartan Two-Step IVIVC.

Authors:  Alejandro Ruiz Picazo; Ma Teresa Martinez-Martinez; Sarin Colón-Useche; Ramon Iriarte; Bárbara Sánchez-Dengra; Marta González-Álvarez; Alfredo García-Arieta; Isabel González-Álvarez; Marival Bermejo
Journal:  Mol Pharm       Date:  2018-05-17       Impact factor: 4.939

Review 10.  Formulation predictive dissolution (fPD) testing to advance oral drug product development: An introduction to the US FDA funded '21st Century BA/BE' project.

Authors:  Bart Hens; Patrick D Sinko; Nicholas Job; Meagan Dean; Jozef Al-Gousous; Niloufar Salehi; Robert M Ziff; Yasuhiro Tsume; Marival Bermejo; Paulo Paixão; James G Brasseur; Alex Yu; Arjang Talattof; Gail Benninghoff; Peter Langguth; Hans Lennernäs; William L Hasler; Luca Marciani; Joseph Dickens; Kerby Shedden; Duxin Sun; Gregory E Amidon; Gordon L Amidon
Journal:  Int J Pharm       Date:  2018-06-23       Impact factor: 5.875

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  1 in total

1.  Design of Oral Sustained-Release Pellets by Modeling and Simulation Approach to Improve Compliance for Repurposing Sobrerol.

Authors:  Chu-Hsun Lu; Yu-Feng Huang; I-Ming Chu
Journal:  Pharmaceutics       Date:  2022-01-11       Impact factor: 6.321

  1 in total

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