Literature DB >> 28369788

Model-Based Approach for Optimizing Study Design and Clinical Drug Performances of Extended-Release Formulations of Methylphenidate for the Treatment of ADHD.

R Gomeni1, Fmm Bressolle-Gomeni1, T J Spencer2, S V Faraone3, L Fang4, A Babiskin4.   

Abstract

Methylphenidate (MPH) is currently used to treat children with attention deficit hyperactivity disorder (ADHD). Several extended-release (ER) formulations characterized by a dual release process were developed to improve efficacy over an extended duration. In this study, a model-based approach using literature data was developed to: 1) evaluate the most efficient pharmacokinetic (PK) model to characterize the complex PK profile of MPH ER formulations; 2) provide PK endpoint metrics for comparing ER formulations; 3) define criteria for optimizing development of ER formulations using a convolution-based model linking in vitro release, in vivo release, and hour-by-hour behavioral ratings of ADHD symptoms; and 4) define an optimized trial design for assessing the activity of MPH in pediatric populations. The convolution-based model accurately described the complex PK profiles of a variety of ER MPH products, providing a natural framework for establishing an in vitro/in vivo correlation and for defining criteria for assessing comparative bioequivalence of MPH ER products.
© 2017 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2017        PMID: 28369788     DOI: 10.1002/cpt.684

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  8 in total

1.  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

2.  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

3.  Quantitative Characterization of the Smoothness of Extended-release Methylphenidate Pharmacokinetic Profiles.

Authors:  Michelle D Po; Roberto Gomeni; Bev Incledon
Journal:  Innov Clin Neurosci       Date:  2022 Jul-Sep

4.  Individualized Absorption Models in Population Pharmacokinetic Analyses.

Authors:  Mutaz M Jaber; Mahmoud Al-Kofahi; Kyriakie Sarafoglou; Richard C Brundage
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-05-21

5.  A General Framework for Assessing In vitro/In vivo Correlation as a Tool for Maximizing the Benefit-Risk Ratio of a Treatment Using a Convolution-Based Modeling Approach.

Authors:  Roberto Gomeni; Lanyan Lucy Fang; Françoise Bressolle-Gomeni; Thomas J Spencer; Stephen V Faraone; Andrew Babiskin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02-05

6.  Population Pharmacokinetic Modeling and Simulation of TV-46000: A Long-Acting Injectable Formulation of Risperidone.

Authors:  Itay Perlstein; Avia Merenlender Wagner; Roberto Gomeni; Michael Lamson; Eran Harary; Ofer Spiegelstein; Attila Kalmanczhelyi; Ryan Tiver; Pippa Loupe; Micha Levi; Anna Elgart
Journal:  Clin Pharmacol Drug Dev       Date:  2022-03-04

7.  Effect of Colonic Absorption on the Pharmacokinetic Properties of Delayed-Release and Extended-Release Methylphenidate: In Vivo, In Vitro, and Modeling Evaluations.

Authors:  Bev Incledon; Chantal Incledon; Roberto Gomeni; Cassandra L Uchida; Amy Morris; Kim Perry; Jill Kapuscinski
Journal:  Clin Pharmacol Drug Dev       Date:  2022-03-22

8.  Model-Based Approach for Establishing the Predicted Clinical Response of a Delayed-Release and Extended-Release Methylphenidate for the Treatment of Attention-Deficit/Hyperactivity Disorder.

Authors:  Roberto Gomeni; Marina Komolova; Bev Incledon; Stephen V Faraone
Journal:  J Clin Psychopharmacol       Date:  2020 Jul/Aug       Impact factor: 3.118

  8 in total

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