Literature DB >> 30683809

In Vitro-In Vivo Extrapolation of Key Transporter Activity at the Blood-Brain Barrier.

Patrick E Trapa1, Matthew D Troutman1, Thomas Y Lau1, Travis T Wager1, Tristan S Maurer1, Nandini C Patel1, Mark A West1, John P Umland1, Anthony A Carlo1, Bo Feng1, Jennifer L Liras2.   

Abstract

Understanding the quantitative implications of P-glycoprotein and breast cancer resistance protein efflux is a key hurdle in the design of effective, centrally acting or centrally restricted therapeutics. Previously, a comprehensive physiologically based pharmacokinetic model was developed to describe the in vivo unbound brain-to-plasma concentration ratio as a function of efflux activity measured in vitro. In the present work, the predictive utility of this framework was examined through application to in vitro and in vivo data generated on 133 unique compounds across three preclinical species. Two approaches were examined for the scaling of efflux activity to in vivo, namely relative expression as determined by independent proteomics measurements and relative activity as determined via fitting the in vivo neuropharmacokinetic data. The results with both approaches indicate that in vitro efflux data can be used to accurately predict the degree of brain penetration across species within the context of the proposed physiologically based pharmacokinetic framework.
Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2019        PMID: 30683809     DOI: 10.1124/dmd.118.083279

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  10 in total

1.  In Vitro - in Vivo Extrapolation of Hepatic Clearance in Preclinical Species.

Authors:  David A Tess; Sangwoo Ryu; Li Di
Journal:  Pharm Res       Date:  2022-03-07       Impact factor: 4.200

2.  Direct Comparison of the Prediction of the Unbound Brain-to-Plasma Partitioning Utilizing Machine Learning Approach and Mechanistic Neuropharmacokinetic Model.

Authors:  Yohei Kosugi; Kunihiko Mizuno; Cipriano Santos; Sho Sato; Natalie Hosea; Michael Zientek
Journal:  AAPS J       Date:  2021-05-18       Impact factor: 4.009

3.  Translational CNS Steady-State Drug Disposition Model in Rats, Monkeys, and Humans for Quantitative Prediction of Brain-to-Plasma and Cerebrospinal Fluid-to-Plasma Unbound Concentration Ratios.

Authors:  Sho Sato; Kota Matsumiya; Kimio Tohyama; Yohei Kosugi
Journal:  AAPS J       Date:  2021-06-03       Impact factor: 4.009

4.  Optimization of dose and route of administration of the P-glycoprotein inhibitor, valspodar (PSC-833) and the P-glycoprotein and breast cancer resistance protein dual-inhibitor, elacridar (GF120918) as dual infusion in rats.

Authors:  Christopher Rowbottom; Alicia Pietrasiewicz; Taras Tuczewycz; Richard Grater; Daniel Qiu; Sudarshan Kapadnis; Patrick Trapa
Journal:  Pharmacol Res Perspect       Date:  2021-04

5.  Unbound Brain-to-Plasma Partition Coefficient, Kp,uu,brain-a Game Changing Parameter for CNS Drug Discovery and Development.

Authors:  Irena Loryan; Andreas Reichel; Bo Feng; Christoffer Bundgaard; Christopher Shaffer; Cory Kalvass; Dallas Bednarczyk; Denise Morrison; Dominique Lesuisse; Edmund Hoppe; Georg C Terstappen; Holger Fischer; Li Di; Nicola Colclough; Scott Summerfield; Stephen T Buckley; Tristan S Maurer; Markus Fridén
Journal:  Pharm Res       Date:  2022-04-11       Impact factor: 4.580

6.  The Extension of the LeiCNS-PK3.0 Model in Combination with the "Handshake" Approach to Understand Brain Tumor Pathophysiology.

Authors:  Makoto Hirasawa; Mohammed A A Saleh; Elizabeth C M de Lange
Journal:  Pharm Res       Date:  2022-03-07       Impact factor: 4.580

7.  Age-Related Functional and Expressional Changes in Efflux Pathways at the Blood-Brain Barrier.

Authors:  Franciska Erdő; Péter Krajcsi
Journal:  Front Aging Neurosci       Date:  2019-07-30       Impact factor: 5.750

Review 8.  ABC Transporters at the Blood-Brain Interfaces, Their Study Models, and Drug Delivery Implications in Gliomas.

Authors:  David Gomez-Zepeda; Méryam Taghi; Jean-Michel Scherrmann; Xavier Decleves; Marie-Claude Menet
Journal:  Pharmaceutics       Date:  2019-12-23       Impact factor: 6.321

Review 9.  Quality Assurance of PBPK Modeling Platforms and Guidance on Building, Evaluating, Verifying and Applying PBPK Models Prudently under the Umbrella of Qualification: Why, When, What, How and By Whom?

Authors:  Sebastian Frechen; Amin Rostami-Hodjegan
Journal:  Pharm Res       Date:  2022-04-20       Impact factor: 4.580

10.  Successful Prediction of Human Fetal Exposure to P-Glycoprotein Substrate Drugs Using the Proteomics-Informed Relative Expression Factor Approach and PBPK Modeling and Simulation.

Authors:  Olena Anoshchenko; Flavia Storelli; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2021-08-23       Impact factor: 3.922

  10 in total

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