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Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells
A large number of drugs can induce prolongation of cardiac repolarization and life-threatening cardiac arrhythmias. The prediction of this side effect is however challenging as it usually develops in some genetically predisposed individuals with normal cardiac repolarization at baseline. Here, we de...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279943/ https://www.ncbi.nlm.nih.gov/pubmed/28134617 http://dx.doi.org/10.7554/eLife.19406 |
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author | Stillitano, Francesca Hansen, Jens Kong, Chi-Wing Karakikes, Ioannis Funck-Brentano, Christian Geng, Lin Scott, Stuart Reynier, Stephan Wu, Ma Valogne, Yannick Desseaux, Carole Salem, Joe-Elie Jeziorowska, Dorota Zahr, Noël Li, Ronald Iyengar, Ravi Hajjar, Roger J Hulot, Jean-Sébastien |
author_facet | Stillitano, Francesca Hansen, Jens Kong, Chi-Wing Karakikes, Ioannis Funck-Brentano, Christian Geng, Lin Scott, Stuart Reynier, Stephan Wu, Ma Valogne, Yannick Desseaux, Carole Salem, Joe-Elie Jeziorowska, Dorota Zahr, Noël Li, Ronald Iyengar, Ravi Hajjar, Roger J Hulot, Jean-Sébastien |
author_sort | Stillitano, Francesca |
collection | PubMed |
description | A large number of drugs can induce prolongation of cardiac repolarization and life-threatening cardiac arrhythmias. The prediction of this side effect is however challenging as it usually develops in some genetically predisposed individuals with normal cardiac repolarization at baseline. Here, we describe a platform based on a genetically diverse panel of induced pluripotent stem cells (iPSCs) that reproduces susceptibility to develop a cardiotoxic drug response. We generated iPSC-derived cardiomyocytes from patients presenting in vivo with extremely low or high changes in cardiac repolarization in response to a pharmacological challenge with sotalol. In vitro, the responses to sotalol were highly variable but strongly correlated to the inter-individual differences observed in vivo. Transcriptomic profiling identified dysregulation of genes (DLG2, KCNE4, PTRF, HTR2C, CAMKV) involved in downstream regulation of cardiac repolarization machinery as underlying high sensitivity to sotalol. Our findings offer novel insights for the development of iPSC-based screening assays for testing individual drug reactions. DOI: http://dx.doi.org/10.7554/eLife.19406.001 |
format | Online Article Text |
id | pubmed-5279943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-52799432017-02-01 Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells Stillitano, Francesca Hansen, Jens Kong, Chi-Wing Karakikes, Ioannis Funck-Brentano, Christian Geng, Lin Scott, Stuart Reynier, Stephan Wu, Ma Valogne, Yannick Desseaux, Carole Salem, Joe-Elie Jeziorowska, Dorota Zahr, Noël Li, Ronald Iyengar, Ravi Hajjar, Roger J Hulot, Jean-Sébastien eLife Human Biology and Medicine A large number of drugs can induce prolongation of cardiac repolarization and life-threatening cardiac arrhythmias. The prediction of this side effect is however challenging as it usually develops in some genetically predisposed individuals with normal cardiac repolarization at baseline. Here, we describe a platform based on a genetically diverse panel of induced pluripotent stem cells (iPSCs) that reproduces susceptibility to develop a cardiotoxic drug response. We generated iPSC-derived cardiomyocytes from patients presenting in vivo with extremely low or high changes in cardiac repolarization in response to a pharmacological challenge with sotalol. In vitro, the responses to sotalol were highly variable but strongly correlated to the inter-individual differences observed in vivo. Transcriptomic profiling identified dysregulation of genes (DLG2, KCNE4, PTRF, HTR2C, CAMKV) involved in downstream regulation of cardiac repolarization machinery as underlying high sensitivity to sotalol. Our findings offer novel insights for the development of iPSC-based screening assays for testing individual drug reactions. DOI: http://dx.doi.org/10.7554/eLife.19406.001 eLife Sciences Publications, Ltd 2017-01-30 /pmc/articles/PMC5279943/ /pubmed/28134617 http://dx.doi.org/10.7554/eLife.19406 Text en © 2017, Stillitano et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Human Biology and Medicine Stillitano, Francesca Hansen, Jens Kong, Chi-Wing Karakikes, Ioannis Funck-Brentano, Christian Geng, Lin Scott, Stuart Reynier, Stephan Wu, Ma Valogne, Yannick Desseaux, Carole Salem, Joe-Elie Jeziorowska, Dorota Zahr, Noël Li, Ronald Iyengar, Ravi Hajjar, Roger J Hulot, Jean-Sébastien Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title | Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title_full | Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title_fullStr | Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title_full_unstemmed | Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title_short | Modeling susceptibility to drug-induced long QT with a panel of subject-specific induced pluripotent stem cells |
title_sort | modeling susceptibility to drug-induced long qt with a panel of subject-specific induced pluripotent stem cells |
topic | Human Biology and Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279943/ https://www.ncbi.nlm.nih.gov/pubmed/28134617 http://dx.doi.org/10.7554/eLife.19406 |
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