Literature DB >> 19389861

Unbound brain concentration determines receptor occupancy: a correlation of drug concentration and brain serotonin and dopamine reuptake transporter occupancy for eighteen compounds in rats.

Xingrong Liu1, Olga Vilenski, Joyce Kwan, Subbu Apparsundaram, Robert Weikert.   

Abstract

It is a commonly accepted hypothesis that central nervous system (CNS) activity is determined by the unbound brain drug concentration. However, limited experimental data are available in the literature to support this hypothesis. The objective of this study was to test this hypothesis by examining the relationship between in vitro binding affinity (K(I)) and in vivo activity quantified as the drug concentration occupying 50% of the transporters (OC(50)) for 18 serotonin (SERT) and dopamine transporter (DAT) inhibitors. In vivo rat OC(50) was determined by autoradiography using [(3)H]N,N-dimethyl-2,2-amino-4-cyanophenylthiobenzylamine and [(3)H](-)-2-beta-carbomethoxy-3-beta-(4-fluorophenyl)tropane-1,5-napthalenedisulfonate (WIN35,428) as the ligands to assess SERT and DAT occupancy, respectively. The unbound brain concentrations were calculated from total brain concentrations and the unbound brain fraction, which was determined by the brain homogenate method. The in vivo total brain SERT and DAT OC(50) values (mean +/- S.D.) were 408 +/- 368- and 410 +/- 395-fold greater than the K(I) values, respectively. In contrast, the in vivo unbound brain SERT and DAT OC(50) values were only 3.3 +/- 2.1- and 4.1 +/- 4.0-fold different from the K(I) values. Therefore, prediction of the biophase drug concentration by using the unbound brain concentration rather than the total brain concentration results in an approximately 100-fold improvement for the accuracy. In the present study, a 10-fold improvement was also observed by using the unbound plasma concentration rather than the total plasma concentration to predict the biophase concentration in the brain. This study supports the hypothesis that CNS activity is more accurately determined by the unbound brain drug concentration and not by the total brain drug concentration.

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Year:  2009        PMID: 19389861     DOI: 10.1124/dmd.109.026674

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


  14 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.  Modeling of PET data in CNS drug discovery and development.

Authors:  Katarina Varnäs; Andrea Varrone; Lars Farde
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-05-10       Impact factor: 2.745

3.  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

4.  Synergistic interaction between the two mechanisms of action of tapentadol in analgesia.

Authors:  W Schröder; T M Tzschentke; R Terlinden; J De Vry; U Jahnel; T Christoph; R J Tallarida
Journal:  J Pharmacol Exp Ther       Date:  2011-01-24       Impact factor: 4.030

5.  ABCB1 variants and sex affect serotonin transporter occupancy in the brain.

Authors:  Leo R Silberbauer; Lucas Rischka; Chrysoula Vraka; Annette M Hartmann; Godber Mathis Godbersen; Cécile Philippe; Daniel Pacher; Lukas Nics; Manfred Klöbl; Jakob Unterholzner; Thomas Stimpfl; Wolfgang Wadsak; Andreas Hahn; Marcus Hacker; Dan Rujescu; Siegfried Kasper; Rupert Lanzenberger; Gregor Gryglewski
Journal:  Mol Psychiatry       Date:  2022-09-07       Impact factor: 13.437

6.  The effect of ABCG2 and ABCC4 on the pharmacokinetics of methotrexate in the brain.

Authors:  Ramola Sane; Shu-Pei Wu; Rong Zhang; James M Gallo
Journal:  Drug Metab Dispos       Date:  2014-01-24       Impact factor: 3.922

Review 7.  In silico prediction of brain exposure: drug free fraction, unbound brain to plasma concentration ratio and equilibrium half-life.

Authors:  Morena Spreafico; Matthew P Jacobson
Journal:  Curr Top Med Chem       Date:  2013       Impact factor: 3.295

8.  Brain Distribution of Drugs: Pharmacokinetic Considerations.

Authors:  Irena Loryan; Margareta Hammarlund-Udenaes; Stina Syvänen
Journal:  Handb Exp Pharmacol       Date:  2022

9.  Free Drug Theory - No Longer Just a Hypothesis?

Authors:  Scott G Summerfield; James W T Yates; David A Fairman
Journal:  Pharm Res       Date:  2022-02-02       Impact factor: 4.200

10.  Lumbar cerebrospinal fluid-to-brain extracellular fluid surrogacy is context-specific: insights from LeiCNS-PK3.0 simulations.

Authors:  Mohammed A A Saleh; Chi Fong Loo; Jeroen Elassaiss-Schaap; Elizabeth C M De Lange
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-06-17       Impact factor: 2.745

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