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A Human Liver Organoid Screening Platform for DILI Risk Prediction

View ORCID ProfileCharles J. Zhang, View ORCID ProfileSophia R. Meyer, View ORCID ProfileMatthew J. O’Meara, Sha Huang, View ORCID ProfileMeghan M. Capeling, View ORCID ProfileDaysha Ferrer-Torres, View ORCID ProfileCharlie J. Childs, View ORCID ProfileJason R. Spence, View ORCID ProfileRobert J. Fontana, View ORCID ProfileJonathan Z. Sexton
doi: https://doi.org/10.1101/2021.08.26.457824
Charles J. Zhang
1Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA
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Sophia R. Meyer
1Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA
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Matthew J. O’Meara
2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
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Sha Huang
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
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Meghan M. Capeling
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
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Daysha Ferrer-Torres
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
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Charlie J. Childs
4Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, 48109, USA
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Jason R. Spence
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
4Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, 48109, USA
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Robert J. Fontana
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
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Jonathan Z. Sexton
1Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA
3Department of Internal Medicine, Gastroenterology and Hepatology, Michigan Medicine at the University of Michigan, Ann Arbor, MI, 48109, USA
5U-M Center for Drug Repurposing, University of Michigan, Ann Arbor, MI, 48109, USA
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  • For correspondence: jzsexton@med.umich.edu
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ABSTRACT

Background and 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 3 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, and AST, microscopy-based morphological profiling, and single-cell transcriptomics: 1) HLOs dispersed in 384-well formatted plates and exposed to a library of compounds. 2) HLOs adapted to a liver-on-chip system.

Results

  1. Dispersed HLOs derived from the 3 iPSC lines had similar DILI predictive capacity to intact HLOs in a high-throughput screening format allowing for measurable IC50 values of compound cytotoxicity. Distinct morphological differences were observed in cells treated with drugs exerting differing mechanisms of toxicity.

  2. On-chip HLOs significantly increased albumin production, CYP450 expression, and ALT/AST release when treated with known DILI drugs compared to dispersed HLOs and primary human hepatocytes. On-chip HLOs were able to predict the synergistic hepatotoxicity of tenofovir-inarigivir and showed steatosis and mitochondrial perturbation via phenotypic and transcriptomic analysis with exposure to FIAU and acetaminophen, respectively.

Conclusions The high throughput and liver-on-chip system exhibit enhanced in vivo-like function and demonstrate the potential utility of these platforms for hepatotoxicity risk assessment. Tenofovir-inarigivr associated hepatotoxicity was observed and correlates with the clinical manifestation of DILI observed in patients.

LAY SUMMARY 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 in their use as predictive model for novel drugs before entering clinical trials.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Conflicts of interest: RJF has research support from Gilead and Abbvie. Other authors have no conflicts.

  • Funding: National Institute of Diabetes and Digestive and Kidney Diseases R01DK120623 (JZS) University of Michigan Institute for Clinical and Health Research (MICHR) NCATS - UL1TR002240 (JZS) University of Michigan Rackham Graduate School Merit Fellowship (CJZ) Pharmacological sciences training program (PSTP) T32 training grant (SRM) University of Michigan Center of Gastrointestinal Research (UMCGR) Single Cell Pilot Grant 5 P30 DK034933

  • We have incorporated a total of 3 independ iPSC-derived liver organoid lines to enhance the rigor and reproducibility of the experimental system. The additional liver organoid lines recapitulated the drug-induced liver injury caused by tenofovir-inarigivir and show the utility of this approach toward DILI risk prediction. We also have performed additional experiments including metabolomic quantitation of drug metabolism as a measure of CYP450 activity and have improved the immunofluorescence imaging for cell type markers by selection and optimization of new antibodies.

  • Abbreviations

    ALT
    alanine aminotransferase
    APAP
    acetaminophen
    DILI
    drug-induced liver injury
    FIAU
    fialuridine
    HLA
    human leukocyte antigen
    HLO
    human liver organoid
    iPSC
    induced-pluripotent stem cells
    PaDLOC
    patient-derived liver-on-chip
    PHH
    primary human hepatocytes
    scRNA-seq
    Single cell RNA sequencing
    UMAP
    Uniform Manifold Approximation and Projection
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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    A Human Liver Organoid Screening Platform for DILI Risk Prediction
    Charles J. Zhang, Sophia R. Meyer, Matthew J. O’Meara, Sha Huang, Meghan M. Capeling, Daysha Ferrer-Torres, Charlie J. Childs, Jason R. Spence, Robert J. Fontana, Jonathan Z. Sexton
    bioRxiv 2021.08.26.457824; doi: https://doi.org/10.1101/2021.08.26.457824
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    A Human Liver Organoid Screening Platform for DILI Risk Prediction
    Charles J. Zhang, Sophia R. Meyer, Matthew J. O’Meara, Sha Huang, Meghan M. Capeling, Daysha Ferrer-Torres, Charlie J. Childs, Jason R. Spence, Robert J. Fontana, Jonathan Z. Sexton
    bioRxiv 2021.08.26.457824; doi: https://doi.org/10.1101/2021.08.26.457824

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