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Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib
Baricitinib, an oral selective Janus kinase 1 and 2 inhibitor, undergoes active renal tubular secretion. Baricitinib was not predicted to inhibit hepatic and renal uptake and efflux drug transporters, based on the ratio of the unbound maximum eliminating‐organ inlet concentration and the in vitro ha...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402191/ https://www.ncbi.nlm.nih.gov/pubmed/28749581 http://dx.doi.org/10.1111/cts.12486 |
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author | Posada, Maria M. Cannady, Ellen A. Payne, Christopher D. Zhang, Xin Bacon, James A. Pak, Y. Anne Higgins, J. William Shahri, Nazila Hall, Stephen D. Hillgren, Kathleen M. |
author_facet | Posada, Maria M. Cannady, Ellen A. Payne, Christopher D. Zhang, Xin Bacon, James A. Pak, Y. Anne Higgins, J. William Shahri, Nazila Hall, Stephen D. Hillgren, Kathleen M. |
author_sort | Posada, Maria M. |
collection | PubMed |
description | Baricitinib, an oral selective Janus kinase 1 and 2 inhibitor, undergoes active renal tubular secretion. Baricitinib was not predicted to inhibit hepatic and renal uptake and efflux drug transporters, based on the ratio of the unbound maximum eliminating‐organ inlet concentration and the in vitro half‐maximal inhibitory concentrations (IC(50)). In vitro, baricitinib was a substrate for organic anion transporter (OAT)3, multidrug and toxin extrusion protein (MATE)2‐K, P‐glycoprotein (P‐gp), and breast cancer resistance protein (BCRP). Probenecid, a strong OAT3 inhibitor, increased the area under the concentration‐time curve from time zero to infinity (AUC([0–∞])) of baricitinib by twofold and decreased renal clearance to 69% of control in healthy subjects. Physiologically based pharmacokinetic (PBPK) modeling reproduced the renal clearance of baricitinib and the inhibitory effect of probenecid using the in vitro IC(50) value of 4.4 μM. Using ibuprofen and diclofenac in vitro IC(50) values of 4.4 and 3.8 μM toward OAT3, 1.2 and 1.0 AUC((0–∞)) ratios of baricitinib were predicted. These predictions suggest clinically relevant drug‐drug interactions (DDIs) with ibuprofen and diclofenac are unlikely. |
format | Online Article Text |
id | pubmed-6402191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64021912019-03-18 Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib Posada, Maria M. Cannady, Ellen A. Payne, Christopher D. Zhang, Xin Bacon, James A. Pak, Y. Anne Higgins, J. William Shahri, Nazila Hall, Stephen D. Hillgren, Kathleen M. Clin Transl Sci Research Baricitinib, an oral selective Janus kinase 1 and 2 inhibitor, undergoes active renal tubular secretion. Baricitinib was not predicted to inhibit hepatic and renal uptake and efflux drug transporters, based on the ratio of the unbound maximum eliminating‐organ inlet concentration and the in vitro half‐maximal inhibitory concentrations (IC(50)). In vitro, baricitinib was a substrate for organic anion transporter (OAT)3, multidrug and toxin extrusion protein (MATE)2‐K, P‐glycoprotein (P‐gp), and breast cancer resistance protein (BCRP). Probenecid, a strong OAT3 inhibitor, increased the area under the concentration‐time curve from time zero to infinity (AUC([0–∞])) of baricitinib by twofold and decreased renal clearance to 69% of control in healthy subjects. Physiologically based pharmacokinetic (PBPK) modeling reproduced the renal clearance of baricitinib and the inhibitory effect of probenecid using the in vitro IC(50) value of 4.4 μM. Using ibuprofen and diclofenac in vitro IC(50) values of 4.4 and 3.8 μM toward OAT3, 1.2 and 1.0 AUC((0–∞)) ratios of baricitinib were predicted. These predictions suggest clinically relevant drug‐drug interactions (DDIs) with ibuprofen and diclofenac are unlikely. John Wiley and Sons Inc. 2017-07-27 2017-11 /pmc/articles/PMC6402191/ /pubmed/28749581 http://dx.doi.org/10.1111/cts.12486 Text en © 2017 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Posada, Maria M. Cannady, Ellen A. Payne, Christopher D. Zhang, Xin Bacon, James A. Pak, Y. Anne Higgins, J. William Shahri, Nazila Hall, Stephen D. Hillgren, Kathleen M. Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title | Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title_full | Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title_fullStr | Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title_full_unstemmed | Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title_short | Prediction of Transporter‐Mediated Drug‐Drug Interactions for Baricitinib |
title_sort | prediction of transporter‐mediated drug‐drug interactions for baricitinib |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402191/ https://www.ncbi.nlm.nih.gov/pubmed/28749581 http://dx.doi.org/10.1111/cts.12486 |
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