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2525 Development of human cell-based screening assays to detect subject-specific drug-response variability

OBJECTIVES/SPECIFIC AIMS: The goals of this study are to develop a human-based screening assay for testing individual drug reactions and investigate the mechanism underlying susceptibility to develop diLQT. METHODS/STUDY POPULATION: We derived iPSC-CMs from 10 subjects with a high sensitivity to Sot...

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Autores principales: Stillitano, Francesca, Mayourian, Joshua, Dave, Jaydev, Hulot, Jean-Sébastien, Hajjar, Roger J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799307/
http://dx.doi.org/10.1017/cts.2018.64
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author Stillitano, Francesca
Mayourian, Joshua
Dave, Jaydev
Hulot, Jean-Sébastien
Hajjar, Roger J.
author_facet Stillitano, Francesca
Mayourian, Joshua
Dave, Jaydev
Hulot, Jean-Sébastien
Hajjar, Roger J.
author_sort Stillitano, Francesca
collection PubMed
description OBJECTIVES/SPECIFIC AIMS: The goals of this study are to develop a human-based screening assay for testing individual drug reactions and investigate the mechanism underlying susceptibility to develop diLQT. METHODS/STUDY POPULATION: We derived iPSC-CMs from 10 subjects with a high sensitivity to Sotalol (high-S group) and 10 subjects with no changes in QT interval after administration of the same drug (low-S group). Multielectrode array (MEA) was used to measure field potential duration, a surrogate to the QT interval in the electrocardiogram, in iPSC-CMs under basal conditions and in response to increasing concentrations of Sotalol. Transcriptomic profiling of iPSC-CMs from high-S Versus low-S groups was performed using RNA-sequencing. A parameter sensitivity analysis was performed on the Paci et al. iPSC-CM mathematical model to further support the lead hits identified via RNA-sequencing. RESULTS/ANTICIPATED RESULTS: Cardiac differentiation resulted in the generation of iPSC-CMs with appropriate cardiac channel expression and response to a hERG blocker E4031. MEA recordings showed a significantly higher response to Sotalol in iPSC-CMs from high-S compared with low-S subjects. Transcriptomic profiling identified upregulation or downregulation of genes (DLG2, KCNE4, PTRF, HTR2C, CAMKV) involved in downstream regulation of cardiac repolarization and calcium handling machinery as underlying high sensitivity to Sotalol. In silico parameter sensitivity analysis corroborated transcriptomic profiling of select genes; upregulated KCNE4 and downregulated CAMKV were predicted to positively and negatively correlate with iPSC-CM action potential duration when exposed to Sotalol, respectively. DISCUSSION/SIGNIFICANCE OF IMPACT: Our findings suggest subject-specific iPSCs can be used to model functional abnormalities observed in diLQTS and offer novel insights into iPSC-based screening assays for toxic drug reactions. Success of this study may help identify key components underlying diLQT susceptibility to ultimately develop novel therapeutic agents.
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spelling pubmed-67993072019-10-28 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability Stillitano, Francesca Mayourian, Joshua Dave, Jaydev Hulot, Jean-Sébastien Hajjar, Roger J. J Clin Transl Sci Basic/Translational Science/Team Science OBJECTIVES/SPECIFIC AIMS: The goals of this study are to develop a human-based screening assay for testing individual drug reactions and investigate the mechanism underlying susceptibility to develop diLQT. METHODS/STUDY POPULATION: We derived iPSC-CMs from 10 subjects with a high sensitivity to Sotalol (high-S group) and 10 subjects with no changes in QT interval after administration of the same drug (low-S group). Multielectrode array (MEA) was used to measure field potential duration, a surrogate to the QT interval in the electrocardiogram, in iPSC-CMs under basal conditions and in response to increasing concentrations of Sotalol. Transcriptomic profiling of iPSC-CMs from high-S Versus low-S groups was performed using RNA-sequencing. A parameter sensitivity analysis was performed on the Paci et al. iPSC-CM mathematical model to further support the lead hits identified via RNA-sequencing. RESULTS/ANTICIPATED RESULTS: Cardiac differentiation resulted in the generation of iPSC-CMs with appropriate cardiac channel expression and response to a hERG blocker E4031. MEA recordings showed a significantly higher response to Sotalol in iPSC-CMs from high-S compared with low-S subjects. Transcriptomic profiling identified upregulation or downregulation of genes (DLG2, KCNE4, PTRF, HTR2C, CAMKV) involved in downstream regulation of cardiac repolarization and calcium handling machinery as underlying high sensitivity to Sotalol. In silico parameter sensitivity analysis corroborated transcriptomic profiling of select genes; upregulated KCNE4 and downregulated CAMKV were predicted to positively and negatively correlate with iPSC-CM action potential duration when exposed to Sotalol, respectively. DISCUSSION/SIGNIFICANCE OF IMPACT: Our findings suggest subject-specific iPSCs can be used to model functional abnormalities observed in diLQTS and offer novel insights into iPSC-based screening assays for toxic drug reactions. Success of this study may help identify key components underlying diLQT susceptibility to ultimately develop novel therapeutic agents. Cambridge University Press 2018-11-21 /pmc/articles/PMC6799307/ http://dx.doi.org/10.1017/cts.2018.64 Text en © The Association for Clinical and Translational Science 2018 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Basic/Translational Science/Team Science
Stillitano, Francesca
Mayourian, Joshua
Dave, Jaydev
Hulot, Jean-Sébastien
Hajjar, Roger J.
2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title_full 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title_fullStr 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title_full_unstemmed 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title_short 2525 Development of human cell-based screening assays to detect subject-specific drug-response variability
title_sort 2525 development of human cell-based screening assays to detect subject-specific drug-response variability
topic Basic/Translational Science/Team Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799307/
http://dx.doi.org/10.1017/cts.2018.64
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