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Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury
Drug-induced liver injury remains a concern during drug treatment and development. There is an urgent need for improved mechanistic understanding and prediction of DILI liabilities using in vitro approaches. We have established and characterized a panel of liver cell models containing mechanism-base...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962642/ https://www.ncbi.nlm.nih.gov/pubmed/29502165 http://dx.doi.org/10.1007/s00204-018-2178-z |
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author | Wink, Steven Hiemstra, Steven W. Huppelschoten, Suzanne Klip, Janna E. van de Water, Bob |
author_facet | Wink, Steven Hiemstra, Steven W. Huppelschoten, Suzanne Klip, Janna E. van de Water, Bob |
author_sort | Wink, Steven |
collection | PubMed |
description | Drug-induced liver injury remains a concern during drug treatment and development. There is an urgent need for improved mechanistic understanding and prediction of DILI liabilities using in vitro approaches. We have established and characterized a panel of liver cell models containing mechanism-based fluorescent protein toxicity pathway reporters to quantitatively assess the dynamics of cellular stress response pathway activation at the single cell level using automated live cell imaging. We have systematically evaluated the application of four key adaptive stress pathway reporters for the prediction of DILI liability: SRXN1-GFP (oxidative stress), CHOP-GFP (ER stress/UPR response), p21 (p53-mediated DNA damage-related response) and ICAM1 (NF-κB-mediated inflammatory signaling). 118 FDA-labeled drugs in five human exposure relevant concentrations were evaluated for reporter activation using live cell confocal imaging. Quantitative data analysis revealed activation of single or multiple reporters by most drugs in a concentration and time dependent manner. Hierarchical clustering of time course dynamics and refined single cell analysis allowed the allusion of key events in DILI liability. Concentration response modeling was performed to calculate benchmark concentrations (BMCs). Extracted temporal dynamic parameters and BMCs were used to assess the predictive power of sub-lethal adaptive stress pathway activation. Although cellular adaptive responses were activated by non-DILI and severe-DILI compounds alike, dynamic behavior and lower BMCs of pathway activation were sufficiently distinct between these compound classes. The high-level detailed temporal- and concentration-dependent evaluation of the dynamics of adaptive stress pathway activation adds to the overall understanding and prediction of drug-induced liver liabilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-018-2178-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5962642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-59626422018-06-01 Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury Wink, Steven Hiemstra, Steven W. Huppelschoten, Suzanne Klip, Janna E. van de Water, Bob Arch Toxicol In Vitro Systems Drug-induced liver injury remains a concern during drug treatment and development. There is an urgent need for improved mechanistic understanding and prediction of DILI liabilities using in vitro approaches. We have established and characterized a panel of liver cell models containing mechanism-based fluorescent protein toxicity pathway reporters to quantitatively assess the dynamics of cellular stress response pathway activation at the single cell level using automated live cell imaging. We have systematically evaluated the application of four key adaptive stress pathway reporters for the prediction of DILI liability: SRXN1-GFP (oxidative stress), CHOP-GFP (ER stress/UPR response), p21 (p53-mediated DNA damage-related response) and ICAM1 (NF-κB-mediated inflammatory signaling). 118 FDA-labeled drugs in five human exposure relevant concentrations were evaluated for reporter activation using live cell confocal imaging. Quantitative data analysis revealed activation of single or multiple reporters by most drugs in a concentration and time dependent manner. Hierarchical clustering of time course dynamics and refined single cell analysis allowed the allusion of key events in DILI liability. Concentration response modeling was performed to calculate benchmark concentrations (BMCs). Extracted temporal dynamic parameters and BMCs were used to assess the predictive power of sub-lethal adaptive stress pathway activation. Although cellular adaptive responses were activated by non-DILI and severe-DILI compounds alike, dynamic behavior and lower BMCs of pathway activation were sufficiently distinct between these compound classes. The high-level detailed temporal- and concentration-dependent evaluation of the dynamics of adaptive stress pathway activation adds to the overall understanding and prediction of drug-induced liver liabilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-018-2178-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-03-03 2018 /pmc/articles/PMC5962642/ /pubmed/29502165 http://dx.doi.org/10.1007/s00204-018-2178-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | In Vitro Systems Wink, Steven Hiemstra, Steven W. Huppelschoten, Suzanne Klip, Janna E. van de Water, Bob Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title | Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title_full | Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title_fullStr | Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title_full_unstemmed | Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title_short | Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
title_sort | dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury |
topic | In Vitro Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962642/ https://www.ncbi.nlm.nih.gov/pubmed/29502165 http://dx.doi.org/10.1007/s00204-018-2178-z |
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