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Four triazole fungicides used in agricultural or pharmaceutical applications were examined for hepatotoxic effects in mouse liver. Besides organ weight, histopathology, and cytochrome P450 (CYP) enzyme induction, DNA microarrays were used to generate gene expression profiles and hypotheses on potential mechanisms of action for this class of chemicals. Adult male CD-1 mice were exposed daily for 14 days to fluconazole, myclobutanil, propiconazole, or triadimefon at three dose levels by oral gavage. Doses were based on previous studies that resulted in liver hypertrophy or hepatotoxicity. All four triazoles caused hepatocyte hypertrophy, and all except triadimefon increased relative liver/body weight ratios at the middle and high dose levels. CYP enzyme activities were also induced by all four triazoles at the middle and high doses as measured by the dealkylations of four alkoxyresorufins, although some differences in substrate specificity were observed. Consistent with this common histopathology and biochemistry, several CYP and xenobiotic metabolizing enzyme (XME) genes were differentially expressed in response to all four (Cyp2d26 and Cyp3a11), or three of the four (Cyp2c40, Cyp2c55, Ces2, Slco1a4) triazoles. Differential expression of numerous other CYP and XME genes discriminated between the various triazoles, consistent with differences in CYP enzyme activities, and indicative of possible differences in mechanisms of hepatotoxicity or dose response. Multiple isoforms of Cyp1a, 2b, 2c, 3a, and other CYP and XME genes regulated by the nuclear receptors constitutive androstane receptor (CAR) and pregnane X receptor (PXR) were differentially expressed following triazole exposure. Based on these results, we expanded on our original hypothesis that triazole hepatotoxicity was mediated by CYP induction, to include additional XME genes, many of which are modulated by CAR and PXR.

Four triazole fungicides were studied using toxicogenomic techniques to identify potential mechanisms of action. Adult male Sprague-Dawley rats were dosed for 14 days by gavage with fluconazole, myclobutanil, propiconazole, or triadimefon. Following exposure, serum was collected for hormone measurements, and liver and testes were collected for histology, enzyme biochemistry, or gene expression profiling. Body and testis weights were unaffected, but liver weights were significantly increased by all four triazoles, and hepatocytes exhibited centrilobular hypertrophy. Myclobutanil exposure increased serum testosterone and decreased sperm motility, but no treatment-related testis histopathology was observed. We hypothesized that gene expression profiles would identify potential mechanisms of toxicity and used DNA microarrays and quantitative real-time PCR (qPCR) to generate profiles. Triazole fungicides are designed to inhibit fungal cytochrome P450 (CYP) 51 enzyme but can also modulate the expression and function of mammalian CYP genes and enzymes. Triazoles affected the expression of numerous CYP genes in rat liver and testis, including multiple Cyp2c and Cyp3a isoforms as well as other xenobiotic metabolizing enzyme (XME) and transporter genes. For some genes, such as Ces2 and Udpgtr2, all four triazoles had similar effects on expression, suggesting possible common mechanisms of action. Many of these CYP, XME and transporter genes are regulated by xeno-sensing nuclear receptors, and hierarchical clustering of CAR/PXR-regulated genes demonstrated the similarities of toxicogenomic responses in liver between all four triazoles and in testis between myclobutanil and triadimefon. Triazoles also affected expression of multiple genes involved in steroid hormone metabolism in the two tissues. Thus, gene expression profiles helped identify possible toxicological mechanisms of the triazole fungicides.

The generation of corroborative data has become a commonly used approach for ensuring the veracity of microarray data. Indeed, the need to conduct corroborative studies has now become official editorial policy for at least 2 journals, and several more are considering introducing such a policy. The issue of corroborating microarray data is a challenging one-there are good arguments for and against conducting such experiments. However, we believe that the introduction of a fixed requirement to corroborate microarray data, especially if adopted by more journals, is overly burdensome and may, in at least several applications of microarray technology, be inappropriate. We also believe that, in cases in which corroborative studies are deemed essential, a lack of clear guidance leaves researchers unclear as to what constitutes an acceptable corroborative study. Guidelines have already been outlined regarding the details of conducting microarray experiments. We propose that all stakeholders, including journal editorial boards, reviewers, and researchers, should undertake concerted and inclusive efforts to address properly and clarify the specific issue of corroborative data. In this article we highlight some of the thorny and vague areas for discussion surrounding this issue. We also report the results of a poll in which 76 life science journals were asked about their current or intended policies on the inclusion of corroborative studies in papers containing microarray data.

Genomics and proteomics have made it possible to define molecular physiology in exquisite detail, when tissues are accessible for sampling. However, many tissues are not accessible for human diagnostic evaluations or experimental studies, creating the need for surrogates that afford insight into exposures and effects in such tissues. Surrogate tissue analysis (STA) incorporating contemporary genomic and proteomic technologies may be useful in determining toxicant exposure and effect, or disease state, in target tissues at the pre- or early clinical stage. We present here a discussion of STA based on presentations given at the Society of Toxicology's 2003 annual meeting's "Innovations in Applied Toxicology" symposium. Speakers at the symposium (Box 1) discussed various potential applications of STA, including the use of peripheral blood lymphocytes (PBLs) as a source of genetic biomarkers to monitor radiation exposure; the use of gene expression analysis of PBLs and hair follicles as a means to monitor the impact of toxicants on inaccessible organs; the characterization of disease-associated gene signatures in peripheral blood mononuclear cells (PBMCs) of renal cell carcinoma (RCC) patients; the use of sperm RNA to determine genetic and environmental effects on sperm development in the testis; and the use of serum protein profiles to monitor the development and progression of various cancers. Also discussed are some of the challenges that must be overcome if the utility of STA is to be proven, and thus permit researchers to move this concept from the laboratory to the clinical environment.