PMID- 26881866 OWN - NLM STAT- MEDLINE DCOM- 20170127 LR - 20170127 IS - 1520-5010 (Electronic) IS - 0893-228X (Linking) VI - 29 IP - 3 DP - 2016 Mar 21 TI - Classification of Cholestatic and Necrotic Hepatotoxicants Using Transcriptomics on Human Precision-Cut Liver Slices. PG - 342-51 LID - 10.1021/acs.chemrestox.5b00491 [doi] AB - Human toxicity screening is an important stage in the development of safe drug candidates. Hepatotoxicity is one of the major reasons for the withdrawal of drugs from the market because the liver is the major organ involved in drug metabolism, and it can generate toxic metabolites. There is a need to screen molecules for drug-induced hepatotoxicity in humans at an earlier stage. Transcriptomics is a technique widely used to screen molecules for toxicity and to unravel toxicity mechanisms. To date, the majority of such studies were performed using animals or animal cells, with concomitant difficulty in interpretation due to species differences, or in human hepatoma cell lines or cultured hepatocytes, suffering from the lack of physiological expression of enzymes and transporters and lack of nonparenchymal cells. The aim of this study was to classify known hepatotoxicants on their phenotype of toxicity in humans using gene expression profiles ex vivo in human precision-cut liver slices (PCLS). Hepatotoxicants known to induce either necrosis (n = 5) or cholestasis (n = 5) were used at concentrations inducing low (<30%) and medium (30-50%) cytotoxicity, based on ATP content. Random forest and support vector machine algorithms were used to classify hepatotoxicants using a leave-one-compound-out cross-validation method. Optimized biomarker sets were compared to derive a consensus list of markers. Classification correctly predicted the toxicity phenotype with an accuracy of 70-80%. The classification is slightly better for the low than for the medium cytotoxicity. The consensus list of markers includes endoplasmic reticulum stress genes, such as C2ORF30, DNAJB9, DNAJC12, SRP72, TMED7, and UBA5, and a sodium/bile acid cotransporter (SLC10A7). This study shows that human PCLS are a useful model to predict the phenotype of drug-induced hepatotoxicity. Additional compounds should be included to confirm the consensus list of markers, which could then be used to develop a biomarker PCR-array for hepatotoxicity screening. FAU - Vatakuti, Suresh AU - Vatakuti S FAU - Pennings, Jeroen L A AU - Pennings JL AD - National Institute for Public Health and the Environment , Bilthoven, The Netherlands. FAU - Gore, Emilia AU - Gore E FAU - Olinga, Peter AU - Olinga P FAU - Groothuis, Geny M M AU - Groothuis GM LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20160309 PL - United States TA - Chem Res Toxicol JT - Chemical research in toxicology JID - 8807448 RN - 0 (Benzofurans) RN - 0 (Bile Acids and Salts) RN - 362O9ITL9D (Acetaminophen) RN - 3IQ78TTX1A (Diethylnitrosamine) RN - 423D2T571U (Ethinyl Estradiol) RN - 66974FR9Q1 (Chloramphenicol) RN - 75CL65GTYR (benziodarone) RN - 83HN0GTJ6D (Cyclosporine) RN - SML2Y3J35T (Colchicine) RN - U42B7VYA4P (Chlorpromazine) RN - V9EFU16ZIF (Methyltestosterone) SB - IM MH - Acetaminophen/toxicity MH - Aged MH - Benzofurans/toxicity MH - Bile Acids and Salts/toxicity MH - Chloramphenicol/toxicity MH - Chlorpromazine/toxicity MH - Cholestasis/*chemically induced/genetics MH - Colchicine/toxicity MH - Cyclosporine/toxicity MH - Diethylnitrosamine/toxicity MH - Drug-Related Side Effects and Adverse Reactions MH - Ethinyl Estradiol/toxicity MH - Female MH - *Gene Expression Profiling MH - Hepatocytes/*drug effects/metabolism MH - Humans MH - Liver/*drug effects/*metabolism MH - Male MH - Methyltestosterone/toxicity MH - Middle Aged MH - Necrosis/*chemically induced/genetics MH - Phenotype MH - *Toxicogenetics MH - Young Adult EDAT- 2016/02/18 06:00 MHDA- 2017/01/28 06:00 CRDT- 2016/02/17 06:00 PHST- 2016/02/17 06:00 [entrez] PHST- 2016/02/18 06:00 [pubmed] PHST- 2017/01/28 06:00 [medline] AID - 10.1021/acs.chemrestox.5b00491 [doi] PST - ppublish SO - Chem Res Toxicol. 2016 Mar 21;29(3):342-51. doi: 10.1021/acs.chemrestox.5b00491. Epub 2016 Mar 9.