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Predicting QTc Prolongation in Man From Only In Vitro Data
Mishra et al.(1) in their article “Interaction between domperidone and ketoconazole: toward prediction of consequent QTc prolongation using purely in vitro information” describe the use of physiologically based pharmacokinetic (PBPK) modeling and pharmacodynamic models of cardiac repolarization to p...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150928/ https://www.ncbi.nlm.nih.gov/pubmed/25141222 http://dx.doi.org/10.1038/psp.2014.33 |
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author | Leishman, D J |
author_facet | Leishman, D J |
author_sort | Leishman, D J |
collection | PubMed |
description | Mishra et al.(1) in their article “Interaction between domperidone and ketoconazole: toward prediction of consequent QTc prolongation using purely in vitro information” describe the use of physiologically based pharmacokinetic (PBPK) modeling and pharmacodynamic models of cardiac repolarization to predict clinical data from preclinical data. Eliminating the risk of cardiac arrhythmias through delayed repolarization often relies on preclinical data during compound selection. Although there are some limitations, there appears to be significant promise in using this modeling approach. |
format | Online Article Text |
id | pubmed-4150928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41509282014-09-04 Predicting QTc Prolongation in Man From Only In Vitro Data Leishman, D J CPT Pharmacometrics Syst Pharmacol Commentary Mishra et al.(1) in their article “Interaction between domperidone and ketoconazole: toward prediction of consequent QTc prolongation using purely in vitro information” describe the use of physiologically based pharmacokinetic (PBPK) modeling and pharmacodynamic models of cardiac repolarization to predict clinical data from preclinical data. Eliminating the risk of cardiac arrhythmias through delayed repolarization often relies on preclinical data during compound selection. Although there are some limitations, there appears to be significant promise in using this modeling approach. Nature Publishing Group 2014-08 2014-08-20 /pmc/articles/PMC4150928/ /pubmed/25141222 http://dx.doi.org/10.1038/psp.2014.33 Text en Copyright © 2014 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Commentary Leishman, D J Predicting QTc Prolongation in Man From Only In Vitro Data |
title | Predicting QTc Prolongation in Man From Only In Vitro Data |
title_full | Predicting QTc Prolongation in Man From Only In Vitro Data |
title_fullStr | Predicting QTc Prolongation in Man From Only In Vitro Data |
title_full_unstemmed | Predicting QTc Prolongation in Man From Only In Vitro Data |
title_short | Predicting QTc Prolongation in Man From Only In Vitro Data |
title_sort | predicting qtc prolongation in man from only in vitro data |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150928/ https://www.ncbi.nlm.nih.gov/pubmed/25141222 http://dx.doi.org/10.1038/psp.2014.33 |
work_keys_str_mv | AT leishmandj predictingqtcprolongationinmanfromonlyinvitrodata |