Literature DB >> 22644702

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

Neil R Mathias1, John Crison.   

Abstract

Modeling and simulation of drug dissolution and oral absorption has been increasingly used over the last decade to understand drug behavior in vivo based on the physicochemical properties of Active Pharmaceutical Ingredients (API) and dosage forms. As in silico and in vitro tools become more sophisticated and our knowledge of physiological processes has grown, model simulations can provide a valuable confluence, tying-in in vitro data with in vivo data while offering mechanistic insights into clinical performance. To a formulation scientist, this unveils not just the parameters that are predicted to significantly impact dissolution/absorption, but helps probe explanations around drug product performance and address specific in vivo mechanisms. In formulation, development, in silico dissolution-absorption modeling can be effectively used to guide: API selection (form comparison and particle size properties), influence clinical study design, assess dosage form performance, guide strategy for dosage form design, and breakdown clinically relevant conditions on dosage form performance (pH effect for patients on pH-elevating treatments, and food effect). This minireview describes examples of these applications in guiding product development including those with strategies to mitigate observed clinical exposure liability or mechanistically probe product in vivo performance attributes.

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Year:  2012        PMID: 22644702      PMCID: PMC3385810          DOI: 10.1208/s12248-012-9372-3

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  29 in total

Review 1.  Transport approaches to the biopharmaceutical design of oral drug delivery systems: prediction of intestinal absorption.

Authors:  L X Yu; E Lipka; J R Crison; G L Amidon
Journal:  Adv Drug Deliv Rev       Date:  1996-06-12       Impact factor: 15.470

2.  A pH-dilution method for estimation of biorelevant drug solubility along the gastrointestinal tract: application to physiologically based pharmacokinetic modeling.

Authors:  Yi Gao; Robert A Carr; Julie K Spence; Weili W Wang; Teresa M Turner; John M Lipari; Jonathan M Miller
Journal:  Mol Pharm       Date:  2010-08-17       Impact factor: 4.939

3.  Prediction of human intestinal absorption using an artificial neural network.

Authors:  X C Fu; C X Chen; G P Wang; W Q Liang; Q S Yu
Journal:  Pharmazie       Date:  2005-09       Impact factor: 1.267

4.  An evaluation of the utility of physiologically based models of pharmacokinetics in early drug discovery.

Authors:  Neil Parrott; Nicolas Paquereau; Philippe Coassolo; Thierry Lavé
Journal:  J Pharm Sci       Date:  2005-10       Impact factor: 3.534

5.  Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development.

Authors:  Wendy I Wilson; Yun Peng; Larry L Augsburger
Journal:  AAPS PharmSciTech       Date:  2005-10-22       Impact factor: 3.246

6.  Pharmacokinetic and pharmacodynamic comparison of metoprolol CR/ZOK once daily with conventional tablets once daily and in divided doses.

Authors:  P Lücker; G Moore; I Wieselgren; B Olofsson; R Bergstrand
Journal:  J Clin Pharmacol       Date:  1990-02       Impact factor: 3.126

7.  A strategy for preclinical formulation development using GastroPlus as pharmacokinetic simulation tool and a statistical screening design applied to a dog study.

Authors:  Martin Kuentz; Sonja Nick; Neil Parrott; Dieter Röthlisberger
Journal:  Eur J Pharm Sci       Date:  2005-10-10       Impact factor: 4.384

8.  Comparison between permeability coefficients in rat and human jejunum.

Authors:  U Fagerholm; M Johansson; H Lennernäs
Journal:  Pharm Res       Date:  1996-09       Impact factor: 4.200

9.  Pharmacokinetics of metoprolol in healthy, elderly, non-smoking individuals after a single dose and two weeks of treatment.

Authors:  M Larsson; S Landahl; P Lundborg; C G Regårdh
Journal:  Eur J Clin Pharmacol       Date:  1984       Impact factor: 2.953

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

Authors:  John R Crison; Peter Timmins; Anther Keung; Vijay V Upreti; David W Boulton; Barry J Scheer
Journal:  J Pharm Sci       Date:  2012-02-14       Impact factor: 3.534

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  13 in total

1.  Food Effect in Humans: Predicting the Risk Through In Vitro Dissolution and In Vivo Pharmacokinetic Models.

Authors:  Neil Mathias; Yan Xu; Balvinder Vig; Umesh Kestur; Amy Saari; John Crison; Divyakant Desai; Aditya Vanarase; Munir Hussain
Journal:  AAPS J       Date:  2015-05-02       Impact factor: 4.009

2.  Assessment of In Vivo Clinical Product Performance of a Weak Basic Drug by Integration of In Vitro Dissolution Tests and Physiologically Based Absorption Modeling.

Authors:  Xuan Ding; Ivelina Gueorguieva; James A Wesley; Lee J Burns; Carrie A Coutant
Journal:  AAPS J       Date:  2015-07-01       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.  Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing.

Authors:  Cordula Stillhart; Neil J Parrott; Marc Lindenberg; Pascal Chalus; Darren Bentley; Anikó Szepes
Journal:  AAPS J       Date:  2017-02-24       Impact factor: 4.009

5.  Application of physicochemical properties and process parameters in the development of a neural network model for prediction of tablet characteristics.

Authors:  Tamás Sovány; Kitti Papós; Péter Kása; Ilija Ilič; Stane Srčič; Klára Pintye-Hódi
Journal:  AAPS PharmSciTech       Date:  2013-02-15       Impact factor: 3.246

6.  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

Review 7.  Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.

Authors:  Clara Hartmanshenn; Megerle Scherholz; Ioannis P Androulakis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

8.  From bench to humans: formulation development of a poorly water soluble drug to mitigate food effect.

Authors:  Preetanshu Pandey; Rhye Hamey; Dilbir S Bindra; Zongyun Huang; Neil Mathias; Timothy Eley; John Crison; Brian Yan; Robert Perrone; Chandra Vemavarapu
Journal:  AAPS PharmSciTech       Date:  2014-01-18       Impact factor: 3.246

9.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08

Review 10.  Lipid-associated oral delivery: Mechanisms and analysis of oral absorption enhancement.

Authors:  Oljora Rezhdo; Lauren Speciner; Rebecca Carrier
Journal:  J Control Release       Date:  2016-08-09       Impact factor: 9.776

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