2023
DOI: 10.1016/j.jhep.2023.01.019
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A human liver organoid screening platform for DILI risk prediction

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Cited by 40 publications
(32 citation statements)
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“…Additionally, transcriptomics with morphological profiling was used to predict other synergistic toxicities. Overall, the study highlights the potential of liver organoids as a promising model for DILI risk prediction and emphasizes the need for further optimization and expansion to encompass patient genetic diversity (Ahmed et al, 2022f;Zhang et al, 2023).…”
Section: Toxicity and Organ On Chipmentioning
confidence: 94%
“…Additionally, transcriptomics with morphological profiling was used to predict other synergistic toxicities. Overall, the study highlights the potential of liver organoids as a promising model for DILI risk prediction and emphasizes the need for further optimization and expansion to encompass patient genetic diversity (Ahmed et al, 2022f;Zhang et al, 2023).…”
Section: Toxicity and Organ On Chipmentioning
confidence: 94%
“…DILI is one of the most frequent reasons for the failure of new drugs in clinical trials, mainly as a result of the poor predictive nature of the animal methods used in its evaluation. 56,57 There are many more examples of this type of failing, all of which constitute substantial evidence for a paradigm shift in how we should approach research and testing.…”
Section: An Overview Of the Three Rs And The Case For Changementioning
confidence: 99%
“…Bouwmeester et al 249 established hepatocytelike ICOs and detected the expression and activity of drug metabolism-related genes to confirm the ability of organoids in ex vivo toxicity assessment. Zhang et al 250 developed a high throughput screening platform based on the human liver organoid-on-a-chip for drug-induced liver injury that pooled multiomics such as biomarker/analyte detection, high-content imaging-enabled phenotyping, and single-cell RNA sequencing. The authors demonstrate the effectiveness of this platform by testing a set of known hepatotoxic drugs and comparing the results to clinical data.…”
Section: Drug Researchmentioning
confidence: 99%