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
Open accessAbstract
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.
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Levofloxacin was proposed by the IQ MPS affiliate as a lesser hepatotoxin compared to its structural analog trovafloxacin, but it is classified as high clinical DILI concern in Garside's DILI severity category labeling.
“Levofloxacin, a fluoroquinolone antibiotic, was proposed by the IQ MPS affiliate as a lesser hepatotoxin compared to its structural analog trovafloxacin, but it is classified as high clinical DILI concern in Garside’s DILI severity category labeling50.”
From Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology (2022) · cites this paper as [50]
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“The 110 drugs evaluated for cytotoxicity in vitro were each assigned to one of five categories as described previously (Garside et al. 2014), using information extracted from the peer reviewed scientific literature and from data contained in product labels.”
BackgroundMethodInfluentialSelf-citationPerformance assessment and economic analysis of a human Liver-Chip for predictive toxicology
Ewart, L., Apostolou, A., Briggs, S. A., Carman, C. V., Chaff, J. T., Heng, A. R., Jadalannagari, S., Janardhanan, J., Jang, K.-J., Joshipura, S. R., et al. (2022) · Communications Medicine · doi:10.1038/s43856-022-00209-1 · Cited by 337 · see citing works
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- Authors
- Garside, H., Marcoe, K. F., Chesnut-Speelman, J., Foster, A. J., Muthas, D., Gerry Kenna, J., Warrior, U., Bowes, J., & Baumgartner, J.
- Affiliations
- AstraZeneca (United Kingdom) (GB)
- Eurofins (United States) (US)
- AstraZeneca (Sweden) (SE)
- Corresponding author
- Garside, Helen
- Marcoe, Karen F.
- Venue
- Toxicology in Vitro
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 28
- Issue
- 2
- Pages
- 171-181
- ISSN
- 0887-2333 (ISSN-L)
- OpenAlex
- W2027595591
- Cited by
- 93
- References
- 2
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 2 · 2022: 8 · 2021: 9 · 2020: 10 · 2019: 4 · 2018: 9 · 2017: 11 · 2016: 13 · 2015: 10 · 2014: 5
- FWCI
- 10.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Toxicology in Vitro (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- AstraZeneca
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Drug-Induced Hepatotoxicity and Protection
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Keywords
- drug-induced liver injury, hepatotoxicity, HepG2 cells, high-content imaging, drug screening, S9 fraction, hierarchical clustering, in vitro toxicity prediction
- MeSH terms
- Algorithms, Animals, Cell Count, Cell Line, Cell Survival, Cytological Techniques, Histones, Humans, Image Processing, Computer-Assisted, Phospholipids, Subcellular Fractions, Cryopreservation, Cluster Analysis, HSP70 Heat-Shock Proteins, Hepatocytes, Lipid Metabolism, HSP72 Heat-Shock Proteins, Rats, Caspase 3, Chemical and Drug Induced Liver Injury, Hep G2 Cells, Primary Cell Culture
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