ArticleArchives of toxicology2017
Validation of precision-cut liver slices to study drug-induced cholestasis: a transcriptomics approach.
Article in Archives of toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 41 citations in OpenAlex.
- Cholangiocyte biology in primary sclerosing cholangitis and other cholangiopathies: pathogenesis, clinical insights, and experimental tools.Physiological reviews · 2026Review
- Semi-automated isolation of parenchymal and non-parenchymal liver cells from mice and humans with enhanced stellate cell fraction.Cell & bioscience · 2026Article
- Cell-based approaches for the mechanistic understanding of drug-induced cholestatic liver injury.Archives of toxicology · 2025Review
- Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.British journal of clinical pharmacology · 2025Review
- Soluble Klotho protects against glomerular injury through regulation of ER stress response.Communications biology · 2023Article
- Toward better drug development: Three-dimensional bioprinting in toxicological research.International journal of bioprinting · 2023Review
- Mouse precision-cut liver slices as an ex vivo model to study drug-induced cholestasis.Archives of toxicology · 2022Article
- The Effects of Butyrate on Induced Metabolic-Associated Fatty Liver Disease in Precision-Cut Liver Slices.Nutrients · 2021Article
- Robustness testing and optimization of an adverse outcome pathway on cholestatic liver injury.Archives of toxicology · 2020Article
- Liver Bioreactor Design Issues of Fluid Flow and Zonation, Fibrosis, and Mechanics: A Computational Perspective.Journal of functional biomaterials · 2020Review
- Precision-cut liver slices: a versatile tool to advance liver research.Hepatology international · 2019Review
- Omics-based responses induced by bosentan in human hepatoma HepaRG cell cultures.Archives of toxicology · 2018Article
- In vitro prediction of drug-induced cholestatic liver injury: a challenge for the toxicologist.Archives of toxicology · 2018Article
- Rat precision-cut liver slices predict drug-induced cholestatic injury.Archives of toxicology · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatotoxicity is one of the major reasons for withdrawal of drugs from the market. Therefore, there is a need to screen new drugs for hepatotoxicity in humans at an earlier stage. The aim of this study was to validate human precision-cut liver slices (PCLS) as an ex vivo model to predict drug-induced cholestasis and identify the possible mechanisms of cholestasis-induced toxicity using gene expression profiles. Five hepatotoxicants, which are known to induce cholestasis (alpha-naphthyl isothiocyanate, chlorpromazine, cyclosporine, ethinyl estradiol and methyl testosterone) were used at concentrations inducing low (<30 %) and medium (30-50 %) toxicity, based on ATP content. Human PCLS were incubated with the drugs in the presence of a non-toxic concentration (60 µM) of a bile acid mixture (portal vein concentration and composition) as model for bile acid-induced cholestasis. Regulated genes include bile acid transporters and cholesterol transporters. Pathway analysis revealed that hepatic cholestasis was among the top ten regulated pathways, and signaling pathways such as farnesoid X receptor- and liver X receptor-mediated responses, which are known to play a role in cholestasis, were significantly affected by all cholestatic compounds. Other significantly affected pathways include unfolded protein response and protein ubiquitination implicating the role of endoplasmic reticulum stress. This study shows that human PCLS incubated in the presence of a physiological bile acid mixture correctly reflect the pathways affected in drug-induced cholestasis in the human liver. In the future, this human PCLS model can be used to identify cholestatic adverse drug reactions of new chemical entities.
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