Literature DB >> 32956678

In Vitro Biopredictive Methods: A Workshop Summary Report.

Xavier J H Pepin1, Jennifer Dressman2, Neil Parrott3, Poonam Delvadia4, Amitava Mitra5, Xinyuan Zhang6, Andrew Babiskin7, Vidula Kolhatkar4, Paul Seo4, Lynne S Taylor8, Erik Sjögren9, James M Butler10, Edmund Kostewicz11, Christer Tannergren12, Mirko Koziolek13, Filippos Kesisoglou14, André Dallmann15, Yang Zhao4, Sandra Suarez-Sharp16.   

Abstract

This workshop report summarizes the proceedings of Day 1 of a three-day workshop on "Current State and Future Expectations of Translational Modeling Strategies to Support Drug Product Development, Manufacturing Changes and Controls". Physiologically based biopharmaceutics models (PBBM) are tools which enable the drug product quality attributes to be linked to the in vivo performance. These tools rely on key quality inputs in order to provide reliable predictions. After introducing the objectives of the workshop and the expectations from the breakout sessions, Day 1 of the workshop focused on the best practices and challenges in measuring in vitro inputs needed for modeling, such as the drug solubility, the dissolution rate of the drug product, potential precipitation of the drug and drug permeability. This paper reports the podium presentations and summarizes breakout session discussions related to A) the best strategies for determining solubility, supersaturation and critical supersaturation; B) the best strategies for the development of biopredictive (clinically relevant) dissolution methods; C) the challenges associated with describing gastro-intestinal systems parameters such as mucus, liquid volume and motility; and D) the challenges with translating biopharmaceutical measures of drug permeability along the gastrointestinal tract to a meaningful model parameter.
Copyright © 2020 American Pharmacists Association®. All rights reserved.

Keywords:  Bioequivalence; Biopredictive dissolution; CQAs; IVIVC; IVIVR; Modeling; PBBM; PBPK; Permeability; Precipitation; Solubility

Mesh:

Year:  2020        PMID: 32956678     DOI: 10.1016/j.xphs.2020.09.021

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


  5 in total

1.  Biopharmaceutics Applications of Physiologically Based Pharmacokinetic Absorption Modeling and Simulation in Regulatory Submissions to the U.S. Food and Drug Administration for New Drugs.

Authors:  Fang Wu; Heta Shah; Min Li; Peng Duan; Ping Zhao; Sandra Suarez; Kimberly Raines; Yang Zhao; Meng Wang; Ho-Pi Lin; John Duan; Lawrence Yu; Paul Seo
Journal:  AAPS J       Date:  2021-02-22       Impact factor: 4.009

2.  Developing Clinically Relevant Dissolution Specifications (CRDSs) for Oral Drug Products: Virtual Webinar Series.

Authors:  Mark McAllister; Talia Flanagan; Susan Cole; Andreas Abend; Evangelos Kotzagiorgis; Jobst Limberg; Heather Mead; Victor Mangas-Sanjuan; Paul A Dickinson; Andrea Moir; Xavier Pepin; Diansong Zhou; Christophe Tistaert; Aristides Dokoumetzidis; Om Anand; Maxime Le Merdy; David B Turner; Brendan T Griffin; Adam Darwich; Jennifer Dressman; Claire Mackie
Journal:  Pharmaceutics       Date:  2022-05-07       Impact factor: 6.525

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

Authors:  Marilena Vlachou; Vangelis Karalis
Journal:  Materials (Basel)       Date:  2021-01-24       Impact factor: 3.623

Review 4.  History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications.

Authors:  Karim Azer; Chanchala D Kaddi; Jeffrey S Barrett; Jane P F Bai; Sean T McQuade; Nathaniel J Merrill; Benedetto Piccoli; Susana Neves-Zaph; Luca Marchetti; Rosario Lombardo; Silvia Parolo; Selva Rupa Christinal Immanuel; Nitin S Baliga
Journal:  Front Physiol       Date:  2021-03-25       Impact factor: 4.566

5.  Characterizing the Physicochemical Properties of Two Weakly Basic Drugs and the Precipitates Obtained from Biorelevant Media.

Authors:  Miao Zhang; Bin Wu; Shudong Zhang; Lin Wang; Qin Hu; Dongyang Liu; Xijing Chen
Journal:  Pharmaceutics       Date:  2022-01-29       Impact factor: 6.321

  5 in total

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