Literature DB >> 30244011

Commentary on Fit-For-Purpose Models for Regulatory Applications.

Yaning Wang1, Shiew Mei Huang2.   

Abstract

Model-based analyses have been applied to influence various drug development and regulatory decisions in the last 2 decades. Applied models range from empirical models to highly complex mechanistic models. "Fit-for-purpose" has been the principle to determine the level of model complexity. While numerous case studies have been published to highlight the impact and value of model-based analyses, more experience and lessons are being accumulated to address new challenges and create more opportunities. The inclusion of Model-Informed Drug Development in the Prescription Drug User Fee Act (PDUFA) VI represents a new landmark for the field of quantitative clinical pharmacology.
Copyright © 2019 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Keywords:  ADME; clinical trial simulation(s); computational; pharmacokinetic/pharmacodynamic (PK/PD) modeling; physiologically based pharmacokinetic (PBPK) modeling; regulatory science

Mesh:

Substances:

Year:  2018        PMID: 30244011     DOI: 10.1016/j.xphs.2018.09.009

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


  6 in total

1.  Towards a comprehensive assessment of QSP models: what would it take?

Authors:  Ioannis P Androulakis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-08-13       Impact factor: 2.410

Review 2.  End-to-end application of model-informed drug development for ertugliflozin, a novel sodium-glucose cotransporter 2 inhibitor.

Authors:  Daryl J Fediuk; Gianluca Nucci; Vikas K Dawra; Ernesto Callegari; Susan Zhou; Cynthia J Musante; Yali Liang; Kevin Sweeney; Vaishali Sahasrabudhe
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-15

Review 3.  Emerging Role of Organ-on-a-Chip Technologies in Quantitative Clinical Pharmacology Evaluation.

Authors:  Nina Isoherranen; Rajanikanth Madabushi; Shiew-Mei Huang
Journal:  Clin Transl Sci       Date:  2019-03       Impact factor: 4.689

4.  Requirements to Establishing Confidence in Physiologically Based Pharmacokinetic (PBPK) Models and Overcoming Some of the Challenges to Meeting Them.

Authors:  Sheila Annie Peters; Hugues Dolgos
Journal:  Clin Pharmacokinet       Date:  2019-11       Impact factor: 6.447

5.  Physiologically-Based Pharmacokinetic Modeling of the Drug-Drug Interaction of the UGT Substrate Ertugliflozin Following Co-Administration with the UGT Inhibitor Mefenamic Acid.

Authors:  Ernesto Callegari; Jian Lin; Susanna Tse; Theunis C Goosen; Vaishali Sahasrabudhe
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-12-30

6.  A face-to-face comparison of claudin-5 transduced human brain endothelial (hCMEC/D3) cells with porcine brain endothelial cells as blood-brain barrier models for drug transport studies.

Authors:  Birthe Gericke; Kerstin Römermann; Andreas Noack; Sandra Noack; Jessica Kronenberg; Ingolf Ernst Blasig; Wolfgang Löscher
Journal:  Fluids Barriers CNS       Date:  2020-08-26
  6 in total

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