1. An in vitro coculture system of human peripheral blood mononuclear cells with hepatocellular carcinoma-derived cells for predicting drug-induced liver injury
- Author
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Lisa D. Marroquin, Eri Uchida, Yuka Uchida, Shingo Oda, Jessica Whritenour, Yusuke Matsui, Petra H. Koza-Taylor, Masanori Hizue, Michael D. Aleo, and Tsuyoshi Yokoi
- Subjects
0301 basic medicine ,Genetic Markers ,Carcinoma, Hepatocellular ,Cell Survival ,Health, Toxicology and Mutagenesis ,010501 environmental sciences ,Toxicology ,01 natural sciences ,Peripheral blood mononuclear cell ,Proto-Oncogene Mas ,Risk Assessment ,Receptor tyrosine kinase ,03 medical and health sciences ,Immune system ,medicine ,Humans ,0105 earth and related environmental sciences ,Oligonucleotide Array Sequence Analysis ,Liver injury ,biology ,business.industry ,Gene Expression Profiling ,Liver Neoplasms ,General Medicine ,Hep G2 Cells ,medicine.disease ,In vitro ,Coculture Techniques ,030104 developmental biology ,Cell culture ,Hepatocellular carcinoma ,biology.protein ,Cancer research ,Hepatocytes ,Leukocytes, Mononuclear ,Biomarker (medicine) ,Chemical and Drug Induced Liver Injury ,business ,Transcriptome - Abstract
Preventing clinical drug-induced liver injury (DILI) remains a major challenge, because DILI develops via multifactorial mechanisms. Immune and inflammatory reactions are considered important mechanisms of DILI; however, biomarkers from in vitro systems using immune cells have not been comprehensively studied. The aims of this study were (1) to identify promising biomarker genes for predicting DILI in an in vitro coculture model of peripheral blood mononuclear cells (PBMCs) with a human liver cell line, and (2) to evaluate these genes as predictors of DILI using a panel of drugs with different clinical DILI risk. Transcriptome-wide analysis of PBMCs cocultured with HepG2 or differentiated HepaRG cells that were treated with several drugs revealed an appropriate separation of DILI-positive and DILI-negative drugs, from which 12 putative biomarker genes were selected. To evaluate the predictive performance of these genes, PBMCs cocultured with HepG2 cells were exposed to 77 different drugs, and gene expression levels in PBMCs were determined. The MET proto-oncogene receptor tyrosine kinase (MET) showed the highest area under the receiver-operating characteristic curve (AUC) value of 0.81 among the 12 genes with a high sensitivity/specificity (85/66%). However, a stepwise logistic regression model using the 12 identified genes showed the highest AUC value of 0.94 with a high sensitivity/specificity (93/86%). Taken together, we established a coculture system using PBMCs and HepG2 cells and selected biomarkers that can predict DILI risk. The established model would be useful in detecting the DILI potential of compounds, in particular those that involve an immune mechanism.
- Published
- 2020