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CROSS-SPECIES COMPARISON OF CONAZOLE FUNGICIDE METABOLITES USING RAT AND RAINBOW TROUT (ONCHLORHYNCHUS MYKISS) HEPATIC MICROSOMES AND PURIFIED HUMAN CYP 3A4
Citation:
MAZUR, C. S. AND J. F. KENNEKE. CROSS-SPECIES COMPARISON OF CONAZOLE FUNGICIDE METABOLITES USING RAT AND RAINBOW TROUT (ONCHLORHYNCHUS MYKISS) HEPATIC MICROSOMES AND PURIFIED HUMAN CYP 3A4. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 42(3):947-954, (2008).
Impact/Purpose:
This task is divided into four major research areas: (1) Development of computational tools and databases for screening-level modeling of the environmental fate of organic chemicals; (2) Metabolism of xenobiotics: Enhancing the development of a metabolic simulator; (3) Metabonomics: The use of advanced analytical tools to identify toxicity pathways; and (4) Software infrastructure to support development and application of transformation/metabolic simulators.
For many chemicals, multiple transformation/metabolic pathways can exist. Consequently, transformation/metabolic simulators must utilize transformation rate data for prioritization of competing pathways. The prioritization process thus requires the integration of reliable rate data. When this data is absent, it is necessary to generate a database with metabolic and transformation rate constants based on: (1) experimentally measured values, including those requiring the use of advanced analytical techniques for measuring metabolic rate constants in vivo and in vitro; (2) rate constants derived from SPARC and mechanistic-based QSAR models; and (3) data mined from the literature and Program Office CBI. A long-term goal of this project is to build this database. This information will be used to enhance the predictive capabilities of the transformation/metabolic simulators. As indicated previously, exposure genomics, which provide early signs of chemical exposure based on changes in gene expression, will be used to guide chemical fate and metabolism studies. The incorporation of exposure genomics into fate studies will provide information concerning (1) the minimal concentrations at which biological events occur; and (2) the identification of biologically relevant chemicals(s) in mixtures.
The capability of categorizing chemicals and their metabolites based on toxicity pathway is imperative to the success of the CompTox Research Program. Metabonomics, which is the multi-parametric measurement of metabolites in living systems due to physiological stimuli and/or genetic modification, provides such a capability. The application of metabonomics to toxicity testing involves the elucidation of changes in metabolic patterns associated with chemical toxicity based on the measurement of component profiles in biofluids, and enables the generation of spectral profiles for a wide range of endogenous metabolites. Metabolic profiles can provide a measure of the real outcome of potential changes as the result of xenobiotic exposure.
Description:
Ecological risk assessment frequently relies on cross-species extrapolation to predict acute toxicity from chemical exposures. A major concern for environmental risk characterization is the degree of uncertainty in assessing xenobiotic biotansformation processes. Although inherently complex, metabolite identification is critical to risk assessment since the product(s) formed may pose a greater toxicological threat than the parent molecule. This issue is further complicated by differences observed in metabolic transformation pathways among species. Conazoles represent an important class of azole fungicides that are widely used in both pharmaceutical and agricultural applications. The antifungal property of conazoles occurs via complexation with the cytochrome P450 monooxygenases (CYP) responsible for mediating fungal cell wall synthesis. This mode of action has cause for concern regarding the potential adverse impact of conazoles on the broad spectrum of CYP-based processes within mammalian and aquatic species. In this study, in vitro metabolic profiles were determined for thirteen conazole fungicides using rat and rainbow trout (Oncorhynchus mykiss) liver microsomes and purified human CYP 3A4. Results showed that 10 out of the 13 conazoles tested demonstrated identical metabolite profiles among rat and trout microsomes, and these transformations were well conserved via both aromatic and aliphatic hydroxylation and carbonyl reduction processes. Furthermore, nearly all metabolites detected in the rat and trout microsomal assays were detected within the human CYP 3A4 assays. These results indicate a high degree of metabolic conservation among species with an equivalent isozyme activity of human CYP 3A4 being present in both the rat and trout, and provides insight into xenobiotic biotransformations needed for accurate risk assessment.