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A human liver organoid screening platform for DILI risk prediction
Open accessAbstract
BACKGROUND & AIMS: Drug-induced liver injury (DILI), both intrinsic and idiosyncratic, causes frequent morbidity, mortality, clinical trial failures and post-approval withdrawal. This suggests an unmet need for improved in vitro models for DILI risk prediction that can account for diverse host genetics and other clinical factors. In this study, we evaluated the utility of human liver organoids (HLOs) for high-throughput DILI risk prediction and in an organ-on-chip system. METHODS: HLOs were derived from three separate iPSC lines and benchmarked on two platforms for their ability to model in vitro liver function and identify hepatotoxic compounds using biochemical assays for albumin, ALT, AST, microscopy-based morphological profiling, and single-cell transcriptomics: i) HLOs dispersed in 384-well-formatted plates and exposed to a library of compounds; ii) HLOs adapted to a liver-on-chip system. RESULTS: values of compound cytotoxicity. Distinct morphological differences were observed in cells treated with drugs exerting differing mechanisms of toxicity. On-chip HLOs significantly increased albumin production, CYP450 expression, and ALT/AST release when treated with known hepatoxic drugs compared to dispersed HLOs and primary human hepatocytes. On-chip HLOs were able to predict the synergistic hepatotoxicity of tenofovir-inarigivir and displayed steatosis and mitochondrial perturbation, via phenotypic and transcriptomic analysis, on exposure to fialuridine and acetaminophen, respectively. CONCLUSIONS: The high-throughput and liver-on-chip systems exhibit enhanced in vivo-like functions and demonstrate the potential utility of these platforms for DILI risk assessment. Tenofovir-inarigivr-associated hepatotoxicity was observed and correlates with the clinical manifestation of DILI observed in patients. IMPACT AND IMPLICATIONS: Idiosyncratic (spontaneous, patient-specific) drug-induced liver injury (DILI) is difficult to study due to the lack of liver models that function as human liver tissue and are adaptable for large-scale drug screening. Human liver organoids grown from patient stem cells respond to known DILI-causing drugs in both a high-throughput and on a physiological "chip" culture system. These platforms show promise for researchers in their use as predictive models for novel drugs before entering clinical trials and as a potential in vitro diagnostic tool. Our findings support further development of patient-derived liver organoid lines and their use in the context of DILI research.
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Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells
Yu, J., Vodyanik, M. A., Smuga-Otto, K., Antosiewicz-Bourget, J., Frane, J. L., Tian, S., Nie, J., Jonsdottir, G. A., Ruotti, V., Stewart, R., et al. (2007) · Science · doi:10.1126/science.1151526 · Cited by 10,310
From Louvain to Leiden: guaranteeing well-connected communities
Traag, V. A., Waltman, L., & van Eck, N. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-41695-z · Cited by 5,635
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
Concordance of the toxicity of pharmaceuticals in humans and in animals
Olson, H., Betton, G., Robinson, D., Thomas, K., Monro, A., Kolaja, G., Lilly, P., Sanders, J., Sipes, G., Bracken, W., et al. (2000) · Regulatory Toxicology and Pharmacology · doi:10.1006/rtph.2000.1399 · Cited by 2,050
EASL Clinical Practice Guidelines: Drug-induced liver injury
Andrade, R. J., Aithal, G. P., Björnsson, E. S., Kaplowitz, N., Kullak-Ublick, G. A., Larrey, D., & Karlsen, T. H. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.02.014 · Cited by 1,276
Bray, M.-A., Singh, S., Han, H., Davis, C. T., Borgeson, B., Hartland, C., Kost-Alimova, M., Gustafsdottir, S. M., Gibson, C. C., & Carpenter, A. E. (2016) · Nature Protocols · doi:10.1038/nprot.2016.105 · Cited by 1,090
Modelling human development and disease in pluripotent stem-cell-derived gastric organoids
McCracken, K. W., Catá, E. M., Crawford, C. M., Sinagoga, K. L., Schumacher, M., Rockich, B. E., Tsai, Y.-H., Mayhew, C. N., Spence, J. R., Zavros, Y., et al. (2014) · Nature · doi:10.1038/nature13863 · Cited by 980
Self-citationComparison and evaluation of statistical error models for scRNA-seq
Choudhary, S., & Satija, R. (2022) · Genome Biology · doi:10.1186/s13059-021-02584-9 · Cited by 634
McKenzie, R., Fried, M. W., Sallie, R., Conjeevaram, H., Di Bisceglie, A. M., Park, Y., Savarese, B., Kleiner, D., Tsokos, M., Luciano, C., et al. (1995) · New England Journal of Medicine · doi:10.1056/nejm199510263331702 · Cited by 616
The ploidy conveyor of mature hepatocytes as a source of genetic variation
Duncan, A. W., Taylor, M. H., Hickey, R. D., Hanlon Newell, A. E., Lenzi, M. L., Olson, S. B., Finegold, M. J., & Grompe, M. (2010) · Nature · doi:10.1038/nature09414 · Cited by 525
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Way, G. P., Sailem, H., Shave, S., Kasprowicz, R., & Carragher, N. O. (2023) · SLAS Discovery · doi:10.1016/j.slasd.2023.08.009 · Cited by 67
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Reza, H. A., Santangelo, C., Iwasawa, K., Reza, A. A., Sekiya, S., Glaser, K., Bondoc, A., Merola, J., & Takebe, T. (2025) · Nature · doi:10.1038/s41586-025-08850-1 · Cited by 71
Meyer, S. R., Zhang, C. J., Garcia, M. A., Procario, M. C., Yoo, S., Jolly, A. L., Kim, S., Kim, J., Baek, K., Kersten, R. D., et al. (2024) · Gastro Hep Advances · doi:10.1016/j.gastha.2024.08.004 · Cited by 35
Self-citationGuo, K., & van den Beucken, T. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01317-2 · Cited by 28
Metadata
- Authors
- Zhang, C. J., Meyer, S. R., O’Meara, M. J., Huang, S., Capeling, M. M., Ferrer-Torres, D., Childs, C. J., Spence, J. R., Fontana, R. J., & Sexton, J. Z.
- Venue
- Journal of Hepatology
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 78
- Issue
- 5
- Pages
- 998-1006
- ISSN
- 0168-8278 (ISSN-L)
- OpenAlex
- W4319160895
- Cited by
- 191
- References
- 16
- FWCI
- 43.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhang, C. J., Meyer, S. R., O’Meara, M. J., Huang, S., Capeling, M. M., Ferrer-Torres, D., Childs, C. J., Spence, J. R., Fontana, R. J., & Sexton, J. Z. (2023). A human liver organoid screening platform for DILI risk prediction. Journal of Hepatology. https://doi.org/10.1016/j.jhep.2023.01.019
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