Temporal evaluation of CYP mRNA in mice administered with prototypical P450 inducers: comparison with conventional protein/enzyme methods.

Assessment of cytochrome P450 (CYP) induction at the mRNA level in preclinical rodent studies has gained interest in recent years, but there are still concerns regarding correlations between the mRNA and the enzyme activity levels, especially in mice. The purpose of the present study was to systematically evaluate patterns of temporal changes of CYPs 1a1, 1a2, 2b10, 3a11, and 4a10 at mRNA, protein, and activity levels in order to determine to what extent mRNA levels could be used either qualitatively or quantitatively for the assessment of CYP enzyme induction. In this study, livers from male CD-1 mice treated daily with beta-naphthoflavone, phenobarbital, dexamethasone, clofibrate, and control vehicles were collected for RNA and microsomal analysis after 0.5, 1, 2, 4, and 8 days of daily dose. The results revealed a good correlation among mRNA, protein, and enzyme activity levels, with the best correlation at the time points between Days 2 and 8, suggesting that the appropriate time to monitor CYP mRNA may be beyond Day 2 of chemical treatments. Based on these results, we concluded that the mRNA approach is a useful tool to monitor CYP induction in mice, particularly when treatment duration is beyond 2 days.

Assessment of the sensitivity of the computational programs DEREK, TOPKAT, and MCASE in the prediction of the genotoxicity of pharmaceutical molecules.

Computational models are currently being used by regulatory agencies and within the pharmaceutical industry to predict the mutagenic potential of new chemical entities. These models rely heavily, although not exclusively, on bacterial mutagenicity data of nonpharmaceutical-type molecules as the primary knowledge base. To what extent, if any, this has limited the ability of these programs to predict genotoxicity of pharmaceuticals is not clear. In order to address this question, a panel of 394 marketed pharmaceuticals with Ames Salmonella reversion assay and other genetic toxicology findings was extracted from the 2000-2002 Physicians' Desk Reference and evaluated using MCASE, TOPKAT, and DEREK, the three most commonly used computational databases. These evaluations indicate a generally poor sensitivity of all systems for predicting Ames positivity (43.4-51.9% sensitivity) and even poorer sensitivity in prediction of other genotoxicities (e.g., in vitro cytogenetics positive; 21.3-31.9%). As might be expected, all three programs were more highly predictive for molecules containing carcinogenicity structural alerts (i.e., the so-called Ashby alerts; 61% +/- 14% sensitivity) than for those without such alerts (12% +/- 6% sensitivity). Taking all genotoxicity assay findings into consideration, there were 84 instances in which positive genotoxicity results could not be explained in terms of structural alerts, suggesting the possibility of alternative mechanisms of genotoxicity not relating to covalent drug-DNA interaction. These observations suggest that the current computational systems when applied in a traditional global sense do not provide sufficient predictivity of bacterial mutagenicity (and are even less accurate at predicting genotoxicity in tests other than the Salmonella reversion assay) to be of significant value in routine drug safety applications. This relative inability of all three programs to predict the genotoxicity of drugs not carrying obvious DNA-reactive moieties is discussed with respect to the nature of the drugs whose positive responses were not predicted and to expectations of improving the predictivity of these programs. Limitations are primarily a consequence of incomplete understanding of the fundamental genotoxic mechanisms of nonstructurally alerting drugs rather than inherent deficiencies in the computational programs. Irrespective of their predictive power, however, these programs are valuable repositories of structure-activity relationship mutagenicity data that can be useful in directing chemical synthesis in early drug discovery.

Assessment of temporal biochemical and gene transcription changes in rat liver cytochrome P450: utility of real-time quantitative RT-PCR.

PURPOSE: A conventional approach to assess cytochrome P450 (CYP) induction in preclinical animal models involves daily dosing for a least a week followed by Western blot and/or enzyme activity analysis. To evaluate the potential benefit of a third more specific and sensitive assay, real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR), with the objective of reducing the duration of the conventional 1-week study, we simultaneously assessed gene expression by qRT-PCR along with Western blots and enzyme activity assays as a time course in an in vivo model. METHODS: Rats were dosed daily for 8 days with model inducers of CYP1A, CYP2B, CYP3A, or CYP4A. Liver P450 levels were measured after 0.5, 1, 2, 4, and 8 days of dosing by qRT-PCR, Western blot, and enzyme activity. RESULTS: CYP1A, CYP3A, and CYP4A genes were maximally induced very rapidly (0.5-1 day), whereas the CYP2B gene was maximally induced after a lag time of 4 days. In all cases, fold changes in induction detected by qRT-PCR were greater than fold changes in protein levels and enzyme activities. CONCLUSIONS: Maximal persistent and larger fold changes observed by qRT-PCR either preceded or occurred simultaneously with maximal sustained fold changes in protein levels as measured by Western blots and enzyme activity assays. Our data show that qRT-PCR provides increased sensitivity and specificity over conventional assays and may be key information for reliable assessment of drug-related changes in CYP induction during the transition from discovery to toxicology studies.

Quantitative gene expression analysis in a nonhuman primate model of antibiotic-induced nephrotoxicity.

Gene expression patterns using microarrays have been described for rodent models of nephrotoxicity. To determine if significant gene expression changes previously identified have application across multiple species, we studied quantitative gene expression changes in the kidneys of female cynomolgus monkeys after exposure to two nephrotoxicants. Animals were dosed with the aminoglycoside gentamicin (10 mg/kg), the experimental oligosaccharide antibiotic everninomicin (30 or 60 mg/kg), or a combination of gentamicin (10 mg/kg) and everninomicin (30 mg/kg) for 7 days. Monkeys receiving these drugs in combination developed renal lesions as early as Day 1. By Day 7, monkeys dosed with 60 mg/kg everninomicin alone also developed renal lesions, while the group exposed to both compounds had more extensive renal damage. The modulation of several genes previously reported to be associated with nephrotoxicity in rodent models was confirmed using quantitative real-time PCR. Among these, waf-1, matrix metalloproteinase-9, and vimentin exhibited changes consistent with the definition of a genomic indicator of toxicity. In addition, we identified three early gene biomarkers that may be predictive of drug-induced nephrotoxicity: clusterin, osteopontin, and hepatitis A virus cellular receptor-1. Logistic regression demonstrated a high degree of correlation between changes in gene expression and the probability of the development of histopathologic lesions. These results are the first confirming rodent gene expression changes associated with nephrotoxicity in a nonhuman primate model and provide preliminary evidence for identifying early gene expression changes predicting the onset of drug-induced renal tubular damage in cynomolgus monkeys.