Literature DB >> 30476508

Biopharmaceutic IVIVE-Mechanistic Modeling of Single- and Two-Phase In Vitro Experiments to Obtain Drug-Specific Parameters for Incorporation Into PBPK Models.

Shriram M Pathak1, Kerstin Julia Schaefer2, Masoud Jamei3, David B Turner3.   

Abstract

The physiological relevance of single-phase (aqueous only) and 2-phase (aqueous and organic phase) in vitro dissolution experiments was compared by mechanistic modeling. For orally dosed dipyridamole, stepwise, sequential estimation/confirmation of biopharmaceutical parameters from in vitro solubility-dissolution data was followed, before applying them within a physiologically based pharmacokinetic (PBPK) model. The PBPK model predicted clinical dipyridamole luminal and plasma concentration profiles reasonably well for a range of doses only where the precipitation rate constant was derived from the 2-phase experiment. The population model predicted a distribution of maximal precipitated fractions from 0% to 45% of the 90 mg dose (mean 7.6%). Such population information cannot be obtained directly from a few in vitro experiments; however well they may represent an "average" and several extreme subjects (those with low-high luminal fluid volumes, pH, etc.) because there is no indication of outcome likelihood. For this purpose, direct input of in vitro dissolution/precipitation profiles to a PBPK model is insufficient-mechanistic modeling is required. Biopharmaceutical in vitro-in vivo extrapolation tools can also simulate the effect of key experimental parameters (dissolution volumes, pH, paddle speed, etc.) on dissolution/precipitation behavior, thereby helping to identify critical variables, which may impact the number or design of in vitro experiments.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PBPK; biopharmaceutical IVIV_E; dipyridamole; dissolution; mechanistic modeling; precipitation

Mesh:

Substances:

Year:  2018        PMID: 30476508     DOI: 10.1016/j.xphs.2018.11.034

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


  8 in total

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6.  Physiologically based pharmacokinetic modeling and simulations to inform dissolution specifications and clinical relevance of release rates on elagolix exposure.

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Authors:  Tim Becker; Anna K Krome; Sahel Vahdati; Andrea Schiefer; Kenneth Pfarr; Alexandra Ehrens; Tilman Aden; Miriam Grosse; Rolf Jansen; Silke Alt; Thomas Hesterkamp; Marc Stadler; Marc P Hübner; Stefan Kehraus; Gabriele M König; Achim Hoerauf; Karl G Wagner
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8.  On the Usefulness of Two Small-Scale In Vitro Setups in the Evaluation of Luminal Precipitation of Lipophilic Weak Bases in Early Formulation Development.

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  8 in total

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