Literature DB >> 21149540

Measurement of unbound drug exposure in brain: modeling of pH partitioning explains diverging results between the brain slice and brain homogenate methods.

Markus Fridén1, Fredrik Bergström, Hong Wan, Mikael Rehngren, Gustav Ahlin, Margareta Hammarlund-Udenaes, Ulf Bredberg.   

Abstract

Currently used methodology for determining unbound drug exposure in brain combines measurement of the total drug concentration in the whole brain in vivo with estimation of brain tissue binding from one of two available in vitro methods: equilibrium dialysis of brain homogenate and the brain slice uptake method. This study of 56 compounds compares the fraction of unbound drug in brain (f(u,brain)), determined using the brain homogenate method, with the unbound volume of distribution in brain (V(u,brain)), determined using the brain slice method. Discrepancies were frequent and were primarily related to drug pH partitioning, attributable to the preservation of cellular structures in the slice that are absent in the homogenate. A mathematical model for pH partitioning into acidic intracellular compartments was derived to predict the slice V(u,brain) from measurements of f(u,brain) and drug pK(a). This model allowed prediction of V(u,brain) from f(u,brain) within a 2.2-fold error range for 95% of the drugs compared with a 4.5-fold error range using the brain homogenate f(u,brain) method alone. The greatest discrepancies between the methods occurred with compounds that are actively transported into brain cells, including gabapentin, metformin, and prototypic organic cation transporter substrates. It was concluded that intrabrain drug distribution is governed by several diverse mechanisms in addition to nonspecific binding and that the slice method is therefore more reliable than the homogenate method. As an alternative, predictions of V(u,brain) can be made from homogenate f(u,brain) using the pH partition model presented, although this model does not take into consideration possible active brain cell uptake.

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Year:  2010        PMID: 21149540     DOI: 10.1124/dmd.110.035998

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


  45 in total

1.  In-depth neuropharmacokinetic analysis of antipsychotics based on a novel approach to estimate unbound target-site concentration in CNS regions: link to spatial receptor occupancy.

Authors:  I Loryan; E Melander; M Svensson; M Payan; F König; B Jansson; M Hammarlund-Udenaes
Journal:  Mol Psychiatry       Date:  2016-01-26       Impact factor: 15.992

Review 2.  Physiologically based pharmacokinetic modelling of drug penetration across the blood-brain barrier--towards a mechanistic IVIVE-based approach.

Authors:  Kathryn Ball; François Bouzom; Jean-Michel Scherrmann; Bernard Walther; Xavier Declèves
Journal:  AAPS J       Date:  2013-06-20       Impact factor: 4.009

3.  Compartmental models for apical efflux by P-glycoprotein--part 1: evaluation of model complexity.

Authors:  Swati Nagar; Jalia Tucker; Erica A Weiskircher; Siddhartha Bhoopathy; Ismael J Hidalgo; Ken Korzekwa
Journal:  Pharm Res       Date:  2013-09-10       Impact factor: 4.200

4.  Determination of the unbound fraction of R- and S-methadone in human brain.

Authors:  Karen M D Holm; Kristian Linnet
Journal:  Int J Legal Med       Date:  2016-04-07       Impact factor: 2.686

5.  Mechanistic understanding of brain drug disposition to optimize the selection of potential neurotherapeutics in drug discovery.

Authors:  Irena Loryan; Vikash Sinha; Claire Mackie; Achiel Van Peer; Wilhelmus Drinkenburg; An Vermeulen; Denise Morrison; Mario Monshouwer; Donald Heald; Margareta Hammarlund-Udenaes
Journal:  Pharm Res       Date:  2014-03-13       Impact factor: 4.200

6.  Getting the MAX out of Computational Models: The Prediction of Unbound-Brain and Unbound-Plasma Maximum Concentrations.

Authors:  Scot Mente; Angela Doran; Travis T Wager
Journal:  ACS Med Chem Lett       Date:  2012-05-16       Impact factor: 4.345

7.  Seeking Nonspecific Binding: Assessing the Reliability of Tissue Dilutions for Calculating Fraction Unbound.

Authors:  William J Jusko; Emilie A G Molins; Vivaswath S Ayyar
Journal:  Drug Metab Dispos       Date:  2020-08-05       Impact factor: 3.922

8.  Prediction of intracellular exposure bridges the gap between target- and cell-based drug discovery.

Authors:  André Mateus; Laurie J Gordon; Gareth J Wayne; Helena Almqvist; Hanna Axelsson; Brinton Seashore-Ludlow; Andrea Treyer; Pär Matsson; Thomas Lundbäck; Andy West; Michael M Hann; Per Artursson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-12       Impact factor: 11.205

Review 9.  Microdialysis: the Key to Physiologically Based Model Prediction of Human CNS Target Site Concentrations.

Authors:  Yumi Yamamoto; Meindert Danhof; Elizabeth C M de Lange
Journal:  AAPS J       Date:  2017-03-09       Impact factor: 4.009

Review 10.  Intracellular drug concentrations and transporters: measurement, modeling, and implications for the liver.

Authors:  X Chu; K Korzekwa; R Elsby; K Fenner; A Galetin; Y Lai; P Matsson; A Moss; S Nagar; G R Rosania; J P F Bai; J W Polli; Y Sugiyama; K L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2013-04-10       Impact factor: 6.875

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