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Updated: Dec 5, 2025

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
Published on: October 7, 2025
Identification of Translational microRNA Biomarker Candidates for Ketoconazole-Induced Liver Injury Using
Dongying Li1, Bridgett Knox1, Binsheng Gong1
1National Center for Toxicological Research, U.S. Food and Drug Administration (FDA), Jefferson, Arkansas 72079.
Abstract:
Drug-induced liver injury (DILI) is a leading cause of acute liver failure. Reliable and translational biomarkers are needed for early detection of DILI. microRNAs (miRNAs) have received wide attention as a novel class of potential DILI biomarkers. However, it is unclear how DILI drugs other than acetaminophen may influence miRNA expression or which miRNAs could serve as useful biomarkers in humans. We selected ketoconazole (KCZ), a classic hepatotoxin, to study miRNA biomarkers for DILI as a proof of concept for a workflow that integrated in vivo, in vitro, and bioinformatics analyses. We examined hepatic miRNA expression in KCZ-treated rats at multiple doses and durations using miRNA-sequencing and correlated our results with conventional DILI biomarkers such as liver histology. Significant dysregulation of rno-miR-34a-5p, rno-miR-331-3p, rno-miR-15b-3p, and rno-miR-676 was associated with cytoplasmic vacuolization, a phenotype in rat livers with KCZ-induced injury, which preceded the elevation of serum liver transaminases (ALT and AST). Between rats and humans, miR-34a-5p, miR-331-3p, and miR-15b-3p were evolutionarily conserved with identical sequences, whereas miR-676 showed 73% sequence similarity. Using quantitative PCR, we found that the levels of hsa-miR-34a-5p, hsa-miR-331-3p, and hsa-miR-15b-3p were significantly elevated in the culture media of HepaRG cells treated with 100 µM KCZ (a concentration that induced cytotoxicity). Additionally, we computationally characterized the miRNA candidates for their gene targeting, target functions, and miRNA/target evolutionary conservation. In conclusion, we identified miR-34a-5p, miR-331-3p, and miR-15b-3p as translational biomarker candidates for early detection of KCZ-induced liver injury with a workflow applicable to computational toxicology studies.
Insights
Drug-induced liver injury (DILI) biomarkers are crucial for early detection. This study identifies miR-34a-5p, miR-331-3p, and miR-15b-3p as promising translational biomarkers for ketoconazole-induced liver injury.
Area of Science:
- Biochemistry
- Toxicology
- Molecular Biology
Background:
- Drug-induced liver injury (DILI) is a significant cause of acute liver failure, necessitating reliable biomarkers for early detection.
- MicroRNAs (miRNAs) are emerging as potential biomarkers for DILI, but their role in drug-specific injury beyond acetaminophen requires further investigation.
Purpose of the Study:
- To identify and validate novel miRNA biomarkers for ketoconazole (KCZ)-induced liver injury using a multi-omics approach.
- To establish a translational workflow integrating in vivo, in vitro, and bioinformatics analyses for DILI biomarker discovery.
Main Methods:
- miRNA sequencing in ketoconazole-treated rat livers to identify dysregulated miRNAs.
- Correlation of miRNA expression with histological liver injury and serum transaminase levels (ALT, AST).
- Quantitative PCR validation in human HepaRG cells exposed to ketoconazole and computational characterization of miRNA candidates.
Main Results:
- Significant dysregulation of rno-miR-34a-5p, rno-miR-331-3p, rno-miR-15b-3p, and rno-miR-676 was associated with cytoplasmic vacuolization in KCZ-treated rat livers, preceding ALT/AST elevation.
- miR-34a-5p, miR-331-3p, and miR-15b-3p showed evolutionary conservation between rats and humans.
- Elevated levels of hsa-miR-34a-5p, hsa-miR-331-3p, and hsa-miR-15b-3p were observed in HepaRG cells treated with KCZ.
Conclusions:
- miR-34a-5p, miR-331-3p, and miR-15b-3p are identified as translational biomarker candidates for early detection of KCZ-induced liver injury.
- The developed workflow is applicable for computational toxicology and DILI biomarker discovery.
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