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Updated: Feb 26, 2026

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
Published on: January 31, 2022
Mechanism-based risk assessment strategy for drug-induced cholestasis using the transcriptional benchmark dose
Taisuke Kawamoto1, Yuichi Ito1, Osamu Morita1
1Safety Science Research, Kao Corporation.
Abstract:
Cholestasis is one of the major causes of drug-induced liver injury (DILI), which can result in withdrawal of approved drugs from the market. Early identification of cholestatic drugs is difficult due to the complex mechanisms involved. In order to develop a strategy for mechanism-based risk assessment of cholestatic drugs, we analyzed gene expression data obtained from the livers of rats that had been orally administered with 12 known cholestatic compounds repeatedly for 28 days at three dose levels. Qualitative analyses were performed using two statistical approaches (hierarchical clustering and principle component analysis), in addition to pathway analysis. The transcriptional benchmark dose (tBMD) and tBMD 95% lower limit (tBMDL) were used for quantitative analyses, which revealed three compound sub-groups that produced different types of differential gene expression; these groups of genes were mainly involved in inflammation, cholesterol biosynthesis, and oxidative stress. Furthermore, the tBMDL values for each test compound were in good agreement with the relevant no observed adverse effect level. These results indicate that our novel strategy for drug safety evaluation using mechanism-based classification and tBMDL would facilitate the application of toxicogenomics for risk assessment of cholestatic DILI.
Insights
Identifying cholestatic drugs causing liver injury is challenging. This study introduces a novel toxicogenomic strategy using transcriptional benchmark dose lower limit (tBMDL) for improved drug safety evaluation.
Area of Science:
- Toxicology
- Pharmacology
- Genomics
Background:
- Cholestasis is a significant cause of drug-induced liver injury (DILI), leading to drug recalls.
- Early detection of cholestatic drugs is hindered by complex underlying mechanisms.
Purpose of the Study:
- To develop a mechanism-based risk assessment strategy for cholestatic drugs.
- To utilize toxicogenomics for predicting drug-induced liver injury.
Main Methods:
- Gene expression data from rats exposed to 12 cholestatic compounds were analyzed.
- Qualitative (clustering, PCA) and quantitative (tBMD, tBMDL) analyses were performed.
- Pathway analysis identified key biological processes involved.
Main Results:
- Three distinct compound subgroups emerged based on differential gene expression patterns.
- Key affected pathways included inflammation, cholesterol biosynthesis, and oxidative stress.
- Transcriptional benchmark dose lower limit (tBMDL) values correlated well with no observed adverse effect levels.
Conclusions:
- A novel strategy combining mechanism-based classification and tBMDL offers a robust approach for drug safety evaluation.
- This method facilitates the application of toxicogenomics in assessing cholestatic DILI risk.
- The findings support proactive identification and mitigation of drug-induced liver injury risks.
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