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Drug-induced kidney injury is a serious safety issue in drug development. In this study, we evaluated the usefulness of adult zebrafish as a small in vivo system for detecting drug-induced kidney injury. We first investigated the effects of typical nephrotoxicants, gentamicin and doxorubicin, on adult zebrafish. We found that gentamicin induced renal tubular necrosis with increased lysosome and myeloid bodies, and doxorubicin caused foot process fusion of glomerular podocytes. These findings were similar to those seen in mammals, suggesting a common pathogenesis. Second, to further evaluate the performance of the model in detecting drug-induced kidney injury, adult zebrafish were treated with 28 nephrotoxicants or 14 nonnephrotoxicants for up to 4 days, euthanized 24 h after the final treatment, and examined histopathologically. Sixteen of the 28 nephrotoxicants and none of the 14 nonnephrotoxicants caused drug-induced kidney injury in zebrafish (sensitivity, 57%; specificity, 100%; positive predictive value, 100%; negative predictive value, 54%). Finally, we explored genomic biomarker candidates using kidneys isolated from gentamicin- and cisplatin-treated zebrafish using microarray analysis and identified 3 candidate genes, egr1, atf3, and fos based on increased expression levels and biological implications. The expression of these genes was upregulated dose dependently in cisplatin-treated groups and was > 25-fold higher in gentamicin-treated than in the control group. In conclusion, these results suggest that the adult zebrafish has (1) similar nephrotoxic response to those of mammals, (2) considerable feasibility as an experimental model for toxicity studies, and (3) applicability to pathological examination and genomic biomarker evaluation in drug-induced kidney injury.

Drug-induced liver injury (DILI) is a significant safety issue associated with medication use, and is the major cause of failures in drug development and withdrawal in post marketing. Cytokines are signaling molecules produced and secreted by immune cells and play crucial roles in the progression of DILI. Although there are numerous reports of cytokine changes in several DILI models, a comprehensive analysis of cytokine expression changes in rat liver injury induced by various compounds has, to the best of our knowledge, not been performed. In the past several years, we have built a public, free, large-scale toxicogenomics database, called Open TG-GATEs, containing microarray data and toxicity data of the liver of rats treated with various hepatotoxic compounds. In this study, we measured the protein expression levels of a panel of 24 cytokines in frozen liver of rats treated with a total of 20 compounds, obtained in the original study that formed the basis of the Open TG-GATEs database and analyzed protein expression profiles combined with mRNA expression profiles to investigate the correlation between mRNA and protein expression levels. As a result, we demonstrated significant correlations between mRNA and protein expression changes for interleukin (IL)-1β, IL-1α, monocyte chemo-attractant protein (MCP)-1/CC-chemokine ligand (Ccl)2, vascular endothelial growth factor A (VEGF-A), and regulated upon activation normal T cell expressed and secreted (RANTES)/Ccl5 in several different types of DILI. We also demonstrated that IL-1β protein and MCP-1/Ccl2 mRNA were commonly up-regulated in the liver of rats treated with different classes of hepatotoxicants and exhibited the highest accuracy in the detection of hepatotoxicity. The results also demonstrate that hepatic mRNA changes do not always correlate with protein changes of cytokines in the liver. This is the first study to provide a comprehensive analysis of mRNA-protein correlations of factors involved in various types of DILI, as well as additional insights into the importance of understanding complex cytokine expression changes in assessing DILI.

Traditional biomarkers such as alanine and aspartate aminotransferase (ALT, AST) and total bilirubin (TBIL) have been widely used for detecting drug-induced liver injury (DILI). Although the Food and Drug Administration (FDA) proposed standardized thresholds for human as Hy's law, those for animals have not been determined, and predictability of these biomarkers for future onset of hepatic lesions remains unclear. In this study, we investigated these diagnostic and predictive performance of 10 traditional biomarkers for liver injury by receiver-operating characteristic (ROC) curve, using a free-access database where 142 hepatotoxic or non-hepatotoxic compounds were administrated to male rats (n=5253). Standardization of each biomarker value was achieved by calculating the ratio to control mean value, and the thresholds were determined under the condition of permitting 5% false positive. Of these 10 biomarkers, AST showed the best diagnostic performance. Furthermore, ALT and TBIL also showed high performance under the situation of hepatocellular necrosis and bile duct injury, respectively. Additionally, the availability of the diagnostic thresholds in difference testing facility was confirmed by the application of these thresholds to in-house prepared dataset. Meanwhile, incorrect diagnosis by the thresholds was also observed. Regarding prediction, all 10 biomarkers showed insufficient performance for future onset of hepatic lesions. In conclusion, the standardized diagnostic thresholds enable consistent evaluation of traditional biomarkers among different facilities, whereas it was suggested that novel biomarker is required for more accurate diagnosis and prediction of DILI.

UDP-glucuronosyltransferases (UGTs) are conjugation enzymes, which are regulated in a tissue-specific manner by endogenous and environmental factors. In this study, we focused on UGT1A isoforms broadly expressed in hepatic and extrahepatic tissues and examined the expression and inducibility of UGT1As (UGT1A1 and UGT1A3–1A10) in MCF-7 cells (human breast carcinoma cell line). Reverse transcription polymerase chain reaction (RT-PCR) analysis demonstrated that UGT1A1, UGT1A6 and UGT1A9 mRNAs as well as the mRNAs of transcriptional regulators (AhR, aryl hydrocarbon receptor; Arnt, AhR nuclear translocator; ERα, oestrogen receptor α; ERβ, oestrogen receptor β; and GR, glucocorticoid receptor) are expressed in MCF-7 cells. UGT1A6 mRNA level in MCF-7 cells was significantly increased to 1.9 times by β-naphthoflavone (BNF), whereas UGT1A1 and UGT1A9 mRNA levels were not affected by BNF. There were no significant changes in the mRNAs of UGT1A1, UGT1A6 and UGT1A9 in MCF-7 cells by treatment with phenobarbital (PB) and dexamethasone (DEX) in MCF-7 cells. The kinetics of 7-ethyl-10-hydroxycamptothecin (SN-38), 5-hydroxytryptamine (5-HT) and 4-methylumbelliferone (4-MU) glucuronidation by microsomes from control and BNF-treated MCF-7 cells fitted with the Michaelis–Menten model, and the Vmax and CLint values were significantly increased to 7.5–8.5 times and 5.9–10.4 times by BNF treatment, respectively. These findings suggest that BNF induces UGT1A6 in MCF-7 cells and that the increase may be mediated by AhR but not pregnane X receptor (PXR)/constitutive androstane receptor (CAR). The information gained in this study should help predict and assess the toxicity of environmental chemicals.

Traditional biomarkers such as alanine and aspartate aminotransferase (ALT, AST) and total bilirubin (TBIL) have been widely used for detecting drug-induced liver injury (DILI). Although the Food and Drug Administration (FDA) proposed standardized thresholds for human as Hy's law, those for animals have not been determined, and predictability of these biomarkers for future onset of hepatic lesions remains unclear. In this study, we investigated these diagnostic and predictive performance of 10 traditional biomarkers for liver injury by receiver-operating characteristic (ROC) curve, using a free-access database where 142 hepatotoxic or non-hepatotoxic compounds were administrated to male rats (n=5253). Standardization of each biomarker value was achieved by calculating the ratio to control mean value, and the thresholds were determined under the condition of permitting 5% false positive. Of these 10 biomarkers, AST showed the best diagnostic performance. Furthermore, ALT and TBIL also showed high performance under the situation of hepatocellular necrosis and bile duct injury, respectively. Additionally, the availability of the diagnostic thresholds in difference testing facility was confirmed by the application of these thresholds to in-house prepared dataset. Meanwhile, incorrect diagnosis by the thresholds was also observed. Regarding prediction, all 10 biomarkers showed insufficient performance for future onset of hepatic lesions. In conclusion, the standardized diagnostic thresholds enable consistent evaluation of traditional biomarkers among different facilities, whereas it was suggested that novel biomarker is required for more accurate diagnosis and prediction of DILI.

Renal papillary injury is a common side effect observed during nonclinical and clinical investigations in drug development. The present study aimed to identify genomic biomarkers for early and sensitive detection of renal papillary injury in rats. We hypothesized that previously identified genomic biomarkers for tubular injury might be applicable for the sensitive detection of papillary injury in rats. We selected 18 genes as candidate biomarkers for papillary injury based on previously published studies and analyzed their expression profiles by RT-PCR in each kidney region, namely the cortex, cortico-medullary junction, and papilla in various nephrotoxicity models. Comparative analysis of gene expression profiles revealed that some genes were commonly upregulated or downregulated in the renal papilla, reflecting papillary injuries induced by 2-bromoethylamine hydrobromide, phenylbutazone, or n-phenylanthranilic acid. By applying receiver operator characteristics analysis, six candidate biomarkers were identified and their usefulness was confirmed by using an independent data set. The three top-ranked genes, Timp1, Igf1, and Lamc2, exhibited the best prediction performance in an external data set with area under the curve (AUC) values of greater than 0.91. An optimized support vector machine model consisting of three genes achieved the highest AUC value of 0.99. In conclusion, even though definitive validation studies are required for the establishment of their usefulness and reliability, these identified genes may prove to be the most promising candidate genomic biomarkers of renal papillary injury in rats.

UDP-glucuronosyltransferases (UGTs) are conjugation enzymes, which are regulated in a tissue-specific manner by endogenous and environmental factors. In this study, we focused on UGT1A isoforms broadly expressed in hepatic and extrahepatic tissues and examined the expression and inducibility of UGT1As (UGT1A1 and UGT1A3-1A10) in MCF-7 cells (human breast carcinoma cell line). Reverse transcription polymerase chain reaction (RT-PCR) analysis demonstrated that UGT1A1, UGT1A6 and UGT1A9 mRNAs as well as the mRNAs of transcriptional regulators (AhR, aryl hydrocarbon receptor; Arnt, AhR nuclear translocator; ERα, oestrogen receptor α; ERβ, oestrogen receptor β; and GR, glucocorticoid receptor) are expressed in MCF-7 cells. UGT1A6 mRNA level in MCF-7 cells was significantly increased to 1.9 times by β-naphthoflavone (BNF), whereas UGT1A1 and UGT1A9 mRNA levels were not affected by BNF. There were no significant changes in the mRNAs of UGT1A1, UGT1A6 and UGT1A9 in MCF-7 cells by treatment with phenobarbital (PB) and dexamethasone (DEX) in MCF-7 cells. The kinetics of 7-ethyl-10-hydroxycamptothecin (SN-38), 5-hydroxytryptamine (5-HT) and 4-methylumbelliferone (4-MU) glucuronidation by microsomes from control and BNF-treated MCF-7 cells fitted with the Michaelis-Menten model, and the V(max) and CL(int) values were significantly increased to 7.5-8.5 times and 5.9-10.4 times by BNF treatment, respectively. These findings suggest that BNF induces UGT1A6 in MCF-7 cells and that the increase may be mediated by AhR but not pregnane X receptor (PXR)/constitutive androstane receptor (CAR). The information gained in this study should help predict and assess the toxicity of environmental chemicals.