Literature DB >> 26457884

Utility of PBPK Absorption Modeling to Guide Modified Release Formulation Development of Gaboxadol, a Highly Soluble Compound With Region-Dependent Absorption.

Filippos Kesisoglou1, Anand Balakrishnan2, Kimberly Manser3.   

Abstract

Given the complexity of controlled release (CR) formulations, selecting the right preclinical tools is important to enable decision making on the in vivo performance of these formulations during development. In recent years, with the advancements of absorption/physiologically based pharmacokinetic (PBPK) modeling, such computational approaches play an increasing role in guiding formulation development. Development of PBPK models for CR formulations requires additional information compared with immediate release (IR) products. Perhaps the most important aspect is the need to simulate absorption in the lower intestine. Relatively few publications have investigated the use of PBPK models for compounds with region-dependent absorption. In this manuscript, we use gaboxadol as a model compound with region-dependent absorption. We first explored gaboxadol regional absorption in dogs to develop a PBPK model for absorption in the large intestine. Two matrix-based CR formulations were subsequently developed and tested in minipigs and demonstrated distinctly different pharmacokinetic profiles from the IR formulation. A minipig absorption PBPK model successfully predicted the observed plasma concentration data, with the predictions based on the in vitro dissolution being within the observed experimental variability. Finally, we demonstrate the development of an in vitro-in vivo correlation for the preclinical data using the same PBPK model.
Copyright © 2016. Published by Elsevier Inc.

Entities:  

Keywords:  bioavailability; controlled release; intestinal absorption; in vitro/in vivo correlations (IVIVC); physiologically based pharmacokinetic modeling; preclinical pharmacokinetics; site-specific absorption

Mesh:

Substances:

Year:  2016        PMID: 26457884     DOI: 10.1002/jps.24674

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


  10 in total

1.  Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach.

Authors:  Junshan Qiu; Marilyn Martinez; Ram Tiwari
Journal:  AAPS J       Date:  2016-02-19       Impact factor: 4.009

Review 2.  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

3.  Deconvolution Analysis by Non-linear Regression Using a Convolution-Based Model: Comparison of Nonparametric and Parametric Approaches.

Authors:  Roberto Gomeni; Françoise Bressolle-Gomeni
Journal:  AAPS J       Date:  2019-12-09       Impact factor: 4.009

Review 4.  Budding Multi-matrix Technology-a Retrospective Approach, Deep Insights, and Future Perspectives.

Authors:  Anitha Sriram; Suma Tangirala; Srividya Atmakuri; Sajid Hoque; Sheela Modani; Saurabh Srivastava; Srushti Mahajan; Indrani Maji; Rahul Kumar; Dharmendra Khatri; Jitender Madan; Pankaj Kumar Singh
Journal:  AAPS PharmSciTech       Date:  2021-11-03       Impact factor: 3.246

Review 5.  Current State and Challenges of Physiologically Based Biopharmaceutics Modeling (PBBM) in Oral Drug Product Development.

Authors:  Di Wu; Min Li
Journal:  Pharm Res       Date:  2022-09-08       Impact factor: 4.580

6.  Multiple-reaction monitoring (MRM) LC-MS/MS quantitation of venlafaxine and its O-desmethyl metabolite for a preclinical pharmacokinetic study in rabbits.

Authors:  Abdul Aala Fazli; Bala Krishna Panigrahy; Varinder Kumar; Syed Naiem Raza; Bilal Ahmad Zarger; Taha Umair Wani; Shavej Ahmad; Arshad Khuroo; Nisar Ahmad Khan
Journal:  Sci Rep       Date:  2022-06-04       Impact factor: 4.996

Review 7.  Scientific and Regulatory Considerations in Solid Oral Modified Release Drug Product Development.

Authors:  Min Li; Sanna Sander; John Duan; Susan Rosencrance; Sarah Pope Miksinski; Lawrence Yu; Paul Seo; Bhagwant Rege
Journal:  AAPS J       Date:  2016-09-20       Impact factor: 4.009

8.  Effects of early-life exposure to THIP on phenotype development in a mouse model of Rett syndrome.

Authors:  Weiwei Zhong; Christopher Mychal Johnson; Yang Wu; Ningren Cui; Hao Xing; Shuang Zhang; Chun Jiang
Journal:  J Neurodev Disord       Date:  2016-10-19       Impact factor: 4.025

Review 9.  The Neonatal and Juvenile Pig in Pediatric Drug Discovery and Development.

Authors:  Miriam Ayuso; Laura Buyssens; Marina Stroe; Allan Valenzuela; Karel Allegaert; Anne Smits; Pieter Annaert; Antonius Mulder; Sebastien Carpentier; Chris Van Ginneken; Steven Van Cruchten
Journal:  Pharmaceutics       Date:  2020-12-30       Impact factor: 6.321

10.  Physiologically Based Biopharmaceutics Modeling of Regional and Colon Absorption in Dogs.

Authors:  Emma Eckernäs; Christer Tannergren
Journal:  Mol Pharm       Date:  2021-03-15       Impact factor: 4.939

  10 in total

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