Literature DB >> 24189122

Evaluation of the use of imaging parameters for the detection of compound-induced hepatotoxicity in 384-well cultures of HepG2 cells and cryopreserved primary human hepatocytes.

Helen Garside1, Karen F Marcoe2, Jessica Chesnut-Speelman3, Alison J Foster4, Daniel Muthas5, J Gerry Kenna4, Usha Warrior3, Joanne Bowes4, James Baumgartner3.   

Abstract

Drug-induced liver injury (DILI) is a major cause of failed drug development, withdrawal and restricted usage. Therefore screening assays which aid selection of candidate drugs with reduced propensity to cause DILI are required. We have investigated the toxicity of 144 drugs, 108 of which caused DILI, using assays identified in the literature as having some predictivity for hepatotoxicity. The validated assays utilised either HepG2 cells, HepG2 cells in the presence of rat S9 fraction or isolated human hepatocytes. All parameters were quantified by multiplexed and automated high content fluorescence microscopy, at appropriate time points after compound administration (4, 24 or 48h). The individual endpoint which identified drugs that caused DILI with greatest precision was maximal fold induction in CM-H2DFFDA staining in hepatocytes after 24h (41% sensitivity, 86% specificity). However, hierarchical clustering analysis of all endpoints provided the most sensitive identification of drugs which caused DILI (58% sensitivity, 75% specificity). We conclude that multi-parametric high content cell toxicity assays can enable in vitro detection of drugs that have high propensity to cause DILI in vivo but that many DILI compounds exhibit few in vitro signals when evaluated using these assays.
Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Hepatocytes; Hepatotoxicity; Imaging; Metabolism

Mesh:

Substances:

Year:  2013        PMID: 24189122     DOI: 10.1016/j.tiv.2013.10.015

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  25 in total

Review 1.  The Promise of AI for DILI Prediction.

Authors:  Andreu Vall; Yogesh Sabnis; Jiye Shi; Reiner Class; Sepp Hochreiter; Günter Klambauer
Journal:  Front Artif Intell       Date:  2021-04-14

Review 2.  Pregnane X receptor and drug-induced liver injury.

Authors:  Yue-Ming Wang; Sergio C Chai; Christopher T Brewer; Taosheng Chen
Journal:  Expert Opin Drug Metab Toxicol       Date:  2014-09-25       Impact factor: 4.481

3.  Modern Approaches to Chemical Toxicity Screening.

Authors:  Eli G Hvastkovs; James F Rusling
Journal:  Curr Opin Electrochem       Date:  2017-04-03

Review 4.  Drug-induced liver injury: Advances in mechanistic understanding that will inform risk management.

Authors:  M Mosedale; P B Watkins
Journal:  Clin Pharmacol Ther       Date:  2017-01-11       Impact factor: 6.875

5.  Oxidative-stress and long-term hepatotoxicity: comparative study in Upcyte human hepatocytes and hepaRG cells.

Authors:  M Teresa Donato; Nuria Jiménez; María Pelechá; Laia Tolosa
Journal:  Arch Toxicol       Date:  2022-02-14       Impact factor: 5.153

6.  Hepatic Organoid-Based High-Content Imaging Boosts Evaluation of Stereoisomerism-Dependent Hepatotoxicity of Stilbenes in Herbal Medicines.

Authors:  Juan Liu; Tingting Li; Ruihong Li; Jie Wang; Pengyan Li; Ming Niu; Le Zhang; Chunyu Li; Tao Wang; Xiaohe Xiao; Jia-Bo Wang; Yunfang Wang
Journal:  Front Pharmacol       Date:  2022-05-17       Impact factor: 5.988

7.  State-of-the-Art Metabolic Toxicity Screening and Pathway Evaluation.

Authors:  Eli G Hvastkovs; James F Rusling
Journal:  Anal Chem       Date:  2016-04-14       Impact factor: 6.986

8.  Safety evaluation of chinese medicine injections with a cell imaging-based multiparametric assay revealed a critical involvement of mitochondrial function in hepatotoxicity.

Authors:  Meng Wang; Chen-Xiang Liu; Ran-Ran Dong; Shuang He; Ting-Ting Liu; Tie-Chan Zhao; Zhi-Long Wang; Xi-Ya Shen; Bo-Li Zhang; Xiu-Mei Gao; Yan Zhu
Journal:  Evid Based Complement Alternat Med       Date:  2015-02-22       Impact factor: 2.629

9.  Identification of average molecular weight (AMW) as a useful chemical descriptor to discriminate liver injury-inducing drugs.

Authors:  Yuki Shimizu; Takamitsu Sasaki; Jun-Ichi Takeshita; Michiko Watanabe; Ryota Shizu; Takuomi Hosaka; Kouichi Yoshinari
Journal:  PLoS One       Date:  2021-06-25       Impact factor: 3.240

Review 10.  Cellular imaging: a key phenotypic screening strategy for predictive toxicology.

Authors:  Jinghai J Xu
Journal:  Front Pharmacol       Date:  2015-09-08       Impact factor: 5.810

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