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Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery

Movement of xenobiotic substances across the blood–brain barrier (BBB) is tightly regulated by various transporter proteins, especially the efflux transporters P-glycoprotein (P-gp/MDR1) and breast cancer resistance protein (BCRP). Avoiding drug efflux at the BBB is a unique challenge for the develo...

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Autores principales: Cui, Yunhai, Lotz, Ralf, Rapp, Hermann, Klinder, Klaus, Himstedt, Anneke, Sauer, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920949/
https://www.ncbi.nlm.nih.gov/pubmed/31718023
http://dx.doi.org/10.3390/pharmaceutics11110595
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author Cui, Yunhai
Lotz, Ralf
Rapp, Hermann
Klinder, Klaus
Himstedt, Anneke
Sauer, Achim
author_facet Cui, Yunhai
Lotz, Ralf
Rapp, Hermann
Klinder, Klaus
Himstedt, Anneke
Sauer, Achim
author_sort Cui, Yunhai
collection PubMed
description Movement of xenobiotic substances across the blood–brain barrier (BBB) is tightly regulated by various transporter proteins, especially the efflux transporters P-glycoprotein (P-gp/MDR1) and breast cancer resistance protein (BCRP). Avoiding drug efflux at the BBB is a unique challenge for the development of new central nervous system (CNS) drugs. Drug efflux at the BBB is described by the partition coefficient of unbound drug between brain and plasma (K(p,uu,brain)) which is typically obtained from in vivo and often additionally in vitro measurements. Here, we describe a new method for the rapid estimation of the in vivo drug efflux at the BBB of rats: the measurement of the partition coefficient of a drug between brain and skeletal muscle (K(p,brain/muscle)). Assuming a closely similar distribution of drugs into the brain and muscle and that the efflux transporters are only expressed in the brain, K(p,brain/muscle), similar to K(p,uu,brain), reflects the efflux at the BBB. The new method requires a single in vivo experiment. For 64 compounds from different research programs, we show the comparability to other approaches used to obtain K(p,uu,brain). P-gp- and BCRP-overexpressing cell systems are valuable in vitro tools for prescreening. Drug efflux at the BBB can be most accurately predicted based on a simple algorithm incorporating data from both in vitro assays. In conclusion, the combined use of our new in vivo method and the in vitro tools allows an efficient screening method in drug discovery with respect to efflux at the BBB.
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spelling pubmed-69209492019-12-24 Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery Cui, Yunhai Lotz, Ralf Rapp, Hermann Klinder, Klaus Himstedt, Anneke Sauer, Achim Pharmaceutics Article Movement of xenobiotic substances across the blood–brain barrier (BBB) is tightly regulated by various transporter proteins, especially the efflux transporters P-glycoprotein (P-gp/MDR1) and breast cancer resistance protein (BCRP). Avoiding drug efflux at the BBB is a unique challenge for the development of new central nervous system (CNS) drugs. Drug efflux at the BBB is described by the partition coefficient of unbound drug between brain and plasma (K(p,uu,brain)) which is typically obtained from in vivo and often additionally in vitro measurements. Here, we describe a new method for the rapid estimation of the in vivo drug efflux at the BBB of rats: the measurement of the partition coefficient of a drug between brain and skeletal muscle (K(p,brain/muscle)). Assuming a closely similar distribution of drugs into the brain and muscle and that the efflux transporters are only expressed in the brain, K(p,brain/muscle), similar to K(p,uu,brain), reflects the efflux at the BBB. The new method requires a single in vivo experiment. For 64 compounds from different research programs, we show the comparability to other approaches used to obtain K(p,uu,brain). P-gp- and BCRP-overexpressing cell systems are valuable in vitro tools for prescreening. Drug efflux at the BBB can be most accurately predicted based on a simple algorithm incorporating data from both in vitro assays. In conclusion, the combined use of our new in vivo method and the in vitro tools allows an efficient screening method in drug discovery with respect to efflux at the BBB. MDPI 2019-11-11 /pmc/articles/PMC6920949/ /pubmed/31718023 http://dx.doi.org/10.3390/pharmaceutics11110595 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cui, Yunhai
Lotz, Ralf
Rapp, Hermann
Klinder, Klaus
Himstedt, Anneke
Sauer, Achim
Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title_full Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title_fullStr Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title_full_unstemmed Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title_short Muscle to Brain Partitioning as Measure of Transporter-Mediated Efflux at the Rat Blood–Brain Barrier and Its Implementation into Compound Optimization in Drug Discovery
title_sort muscle to brain partitioning as measure of transporter-mediated efflux at the rat blood–brain barrier and its implementation into compound optimization in drug discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920949/
https://www.ncbi.nlm.nih.gov/pubmed/31718023
http://dx.doi.org/10.3390/pharmaceutics11110595
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