Literature DB >> 20102287

Assessing brain free fraction in early drug discovery.

Kevin D Read1, Simone Braggio.   

Abstract

IMPORTANCE OF THE FIELD: The incorporation of brain tissue binding routinely in CNS drug discovery screening strategies has markedly changed the way CNS drug discovery is performed and is proving to be a valuable tool in identifying new therapies for CNS diseases. For many years emphasis has been placed on the magnitude of the brain to blood ratio, the bigger the better, even though, in many cases, brain total concentration (C(brain)) has no or, at best, poor correlation with receptor occupancy/pharmacodynamic readout. Today, C(brain) values measured during in vivo experiments are corrected for the fraction unbound measured through in vitro experiments using brain tissue homogenate or brain tissue slice to obtain an estimate of the brain unbound concentration (C(u,brain)), and this has been demonstrated across a range of CNS targets to give a much better correlation with receptor occupancy/pharmacodynamic readout. This apparently simple change in CNS lead optimisation strategy has de facto revolutionised the vision of the brain penetration concepts. AREAS COVERED IN THIS REVIEW: This review will provide an overview of the use and applications of assessing brain free fraction to determine C(u,brain). TAKE HOME MESSAGE: Assessing brain free fraction to determine C(u,brain) in CNS lead optimisation strategies is the surrogate of choice for rapidly assessing biophase concentration for the majority of CNS targets.

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Year:  2010        PMID: 20102287     DOI: 10.1517/17425250903559873

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  18 in total

1.  Combining PET biodistribution and equilibrium dialysis assays to assess the free brain concentration and BBB transport of CNS drugs.

Authors:  Roger N Gunn; Scott G Summerfield; Cristian A Salinas; Kevin D Read; Qi Guo; Graham E Searle; Christine A Parker; Phil Jeffrey; Marc Laruelle
Journal:  J Cereb Blood Flow Metab       Date:  2012-01-25       Impact factor: 6.200

2.  Integrated pharmacokinetic-driven approach to screen candidate anticancer drugs for brain tumor chemotherapy.

Authors:  Hua Lv; Xiaoping Zhang; Jyoti Sharma; M V Ramana Reddy; E Premkumar Reddy; James M Gallo
Journal:  AAPS J       Date:  2012-11-22       Impact factor: 4.009

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

Review 4.  Clinical Pharmacokinetics and Pharmacodynamics of Drugs in the Central Nervous System.

Authors:  Nithya Srinivas; Kaitlyn Maffuid; Angela D M Kashuba
Journal:  Clin Pharmacokinet       Date:  2018-09       Impact factor: 6.447

5.  Prediction of Tumor-to-Plasma Ratios of Basic Compounds in Subcutaneous Xenograft Mouse Models.

Authors:  Prashant B Nigade; Jayasagar Gundu; K Sreedhara Pai; Kumar V S Nemmani
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-06       Impact factor: 2.441

6.  Impact of Neurodegenerative Diseases on Drug Binding to Brain Tissues: From Animal Models to Human Samples.

Authors:  Ana Ugarte; David Corbacho; María S Aymerich; Ana García-Osta; Mar Cuadrado-Tejedor; Julen Oyarzabal
Journal:  Neurotherapeutics       Date:  2018-07       Impact factor: 7.620

7.  Brain exposure of the ATM inhibitor AZD1390 in humans-a positron emission tomography study.

Authors:  Aurelija Jucaite; Per Stenkrona; Zsolt Cselényi; Serena De Vita; Nuria Buil-Bruna; Katarina Varnäs; Alicia Savage; Andrea Varrone; Peter Johnström; Magnus Schou; Chris Davison; Andy Sykes; Venkatesh Pilla Reddy; Matthias Hoch; Ana Vazquez-Romero; Mohammad Mahdi Moein; Christer Halldin; Melinda S Merchant; Martin Pass; Lars Farde
Journal:  Neuro Oncol       Date:  2021-04-12       Impact factor: 12.300

8.  Quantitative in vitro and in vivo pharmacological profile of CE-178253, a potent and selective cannabinoid type 1 (CB1) receptor antagonist.

Authors:  John R Hadcock; Philip A Carpino; Philip A Iredale; Robert L Dow; Denise Gautreau; Lucinda Thiede; Dawn Kelly-Sullivan; Jeffrey S Lizano; Xingrong Liu; Jeffrey Van Deusen; Karen M Ward; Rebecca E O'Connor; Shawn C Black; David A Griffith; Dennis O Scott
Journal:  BMC Pharmacol       Date:  2010-08-16

9.  Occupancy of brain dopamine D3 receptors and drug craving: a translational approach.

Authors:  Manolo Mugnaini; Laura Iavarone; Palmina Cavallini; Cristiana Griffante; Beatrice Oliosi; Chiara Savoia; John Beaver; Eugenii A Rabiner; Fabrizio Micheli; Christian Heidbreder; Anne Andorn; Emilio Merlo Pich; Massimo Bani
Journal:  Neuropsychopharmacology       Date:  2012-09-12       Impact factor: 7.853

10.  Sh-I-048A, an in vitro non-selective super-agonist at the benzodiazepine site of GABAA receptors: the approximated activation of receptor subtypes may explain behavioral effects.

Authors:  Aleksandar Lj Obradović; Srđan Joksimović; Michael M Poe; Joachim Ramerstorfer; Zdravko Varagic; Ojas Namjoshi; Bojan Batinić; Tamara Radulović; Bojan Marković; Brian L Roth; Werner Sieghart; James M Cook; Miroslav M Savić
Journal:  Brain Res       Date:  2014-01-25       Impact factor: 3.252

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