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A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain

[Image: see text] Optimization of drug efficacy in the brain requires understanding of the local exposure to unbound drug at the site of action. This relies on measurements of the unbound drug fraction (f(u,brain)), which currently requires access to brain tissue. Here, we present a novel methodolog...

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Detalles Bibliográficos
Autores principales: Mateus, André, Matsson, Pär, Artursson, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3985417/
https://www.ncbi.nlm.nih.gov/pubmed/24601604
http://dx.doi.org/10.1021/jm401963n
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author Mateus, André
Matsson, Pär
Artursson, Per
author_facet Mateus, André
Matsson, Pär
Artursson, Per
author_sort Mateus, André
collection PubMed
description [Image: see text] Optimization of drug efficacy in the brain requires understanding of the local exposure to unbound drug at the site of action. This relies on measurements of the unbound drug fraction (f(u,brain)), which currently requires access to brain tissue. Here, we present a novel methodology using homogenates of cultured cells for rapid estimation of f(u,brain). In our setup, drug binding to human embryonic kidney cell (HEK293) homogenate was measured in a small-scale dialysis apparatus. To increase throughput, we combined drugs into cassettes for simultaneous measurement of multiple compounds. Our method estimated f(u,brain) with an average error of 1.9-fold. We propose that our simple method can be used as an inexpensive, easily available and high-throughput alternative to brain tissues excised from laboratory animals. Thereby, estimates of unbound drug exposure can now be implemented at a much earlier stage of the drug discovery process, when molecular property changes are easier to make.
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spelling pubmed-39854172014-04-16 A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain Mateus, André Matsson, Pär Artursson, Per J Med Chem [Image: see text] Optimization of drug efficacy in the brain requires understanding of the local exposure to unbound drug at the site of action. This relies on measurements of the unbound drug fraction (f(u,brain)), which currently requires access to brain tissue. Here, we present a novel methodology using homogenates of cultured cells for rapid estimation of f(u,brain). In our setup, drug binding to human embryonic kidney cell (HEK293) homogenate was measured in a small-scale dialysis apparatus. To increase throughput, we combined drugs into cassettes for simultaneous measurement of multiple compounds. Our method estimated f(u,brain) with an average error of 1.9-fold. We propose that our simple method can be used as an inexpensive, easily available and high-throughput alternative to brain tissues excised from laboratory animals. Thereby, estimates of unbound drug exposure can now be implemented at a much earlier stage of the drug discovery process, when molecular property changes are easier to make. American Chemical Society 2014-03-06 2014-04-10 /pmc/articles/PMC3985417/ /pubmed/24601604 http://dx.doi.org/10.1021/jm401963n Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Mateus, André
Matsson, Pär
Artursson, Per
A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title_full A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title_fullStr A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title_full_unstemmed A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title_short A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
title_sort high-throughput cell-based method to predict the unbound drug fraction in the brain
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3985417/
https://www.ncbi.nlm.nih.gov/pubmed/24601604
http://dx.doi.org/10.1021/jm401963n
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