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.

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.