Environmental and Molecular Mutagenesis最新文献

N-Nitrosamines (NAs) are probable human carcinogens and were detected as impurities in pharmaceuticals, which led to a concern for human health. NAs require metabolic activation before they become mutagenic, and not all NAs are mutagenic since their reactivity is related to their structure. While some NAs are potent mutagens in vivo, in vitro metabolization with exogenous S9 liver extract is generally less efficient. While an enhanced bacterial mutagenicity protocol was recently developed, which uses increased concentrations of S9 liver extracts, there presently is not an improved metabolization protocol suitable for mammalian cell genotoxicity assays. Therefore, we optimized a hamster S9 liver extract-based protocol for in vitro NA metabolization and assessed the genotoxic potential of various NAs using ToxTracker. With this enhanced metabolization protocol (EMP), the genotoxic potency of N-nitrosodimethylamine (NDMA) increased approximately 200-fold compared with the standard S9 liver extract-based exposure protocol in ToxTracker. The EMP was further validated with seven additional mutagenic NAs to which humans are commonly exposed: N-nitrosodiethylamine (NDEA), N-nitrosodiethanolamine (NDELA), N-nitrosodibutylamine (NDBA), N-nitrosofluoxetine (NF), 1-nitrosopyrrolidine (NPYR), N-nitrosomorpholine (NMOR), and 1-cyclopentyl-4-nitrosopiperazine (CPNP), and two non-mutagenic NAs: N-nitrosobupropion (NBuPRO) and N-nitrosoproline (NPRO). Genotoxicity could be confirmed for six NAs using the EMP, demonstrating that mammalian cells and the new approach methodology (NAM) ToxTracker may have potential when investigating NA-related genotoxicity.

Establishing regulatory limits for Drug Substance-Related Impurities (NDSRIs) is challenging due to the limited genotoxicity and carcinogenicity data available for many of these impurities, often leading to conservative approaches. In this study, we evaluated the genotoxic potential of two structurally related nitrosamines: N-nitrosomorpholine (NMOR) and N-nitroso reboxetine. Compared to the well-studied NMOR, there is little toxicological information available for N-nitroso reboxetine. Currently, both compounds have an acceptable intake value of 127 ng/day, based on a read-across using the available carcinogenicity data of NMOR. While both compounds tested positive in a series of in vitro and in vivo assays, we found that the mutagenic potential of N-nitroso reboxetine was significantly lower than that of NMOR. The benchmark dose (BMD) analysis of in vivo mutagenicity data supports an acceptable intake of 24,000 ng/day for N-nitroso reboxetine. Computational studies, carried out using the quantum-mechanical CADRE program, were consistent with in vitro and in vivo outcomes, suggesting an acceptable intake at or above 1500 ng/day for N-nitroso reboxetine. In comparison to NMOR, this prediction is supported by lower computed reactivity in the hydroxylation step, greater steric hindrance of the alpha carbons, and more facile proton transfer in the heterolysis toward the aldehyde metabolite. The data presented in this work can be used to refine and improve the Carcinogenic Potency Categorization Approach (CPCA). It also underscores the importance of collaboration between regulatory authorities, the pharmaceutical industry, and scientific researchers to address potential risks while avoiding overestimation of the acceptable intake limits for certain NDSRIs.

In vitro genotoxicity has historically served a hazard identification role, with simple binary outcomes provided for each of several single endpoint assays. This will need to change, given: (i) efforts to curtail animal testing, (ii) the increased use of multiplexed in vitro assays and the ongoing development of NAMS, and (iii) the desire to holistically consider quantitative results from multiple biomarkers/endpoints that take potency into consideration. To help facilitate more quantitative analyses of multiple biomarkers and/or assay streams, we explored the combined use of PROAST and Toxicological Prioritization Index (ToxPi) software. As a proofofconcept, this investigation employed the MultiFlow DNA damage assay, focusing on γH2AX and p53 biomarkers at two time points, whereby 10 genotoxicants were evaluated in the presence and absence of rat liver S9 metabolic activation. Whereas PROAST was used to calculate BMD point estimates and confidence intervals (CIs), ToxPi synthesized the BMD results into visual, quantitative summaries conveying genotoxicity and metabolic properties. Our analyses suggest that ToxPi's data synthesis and visualization modules provide useful insights into compound response, chemical grouping, and genotoxic mechanisms. By integrating multiple data sources, we find that ToxPi offers a powerful complementary approach to traditional BMD CI graphs, particularly for the simultaneous analysis of multiple biomarkers, enhancing chemical potency analysis of complex datasets.

The current genotoxicity testing paradigm provides little mechanistic information, has poor specificity in predicting carcinogenicity in humans, and is not suited to assessing a large number of chemicals. Genomic technologies enable the characterization of genome-wide transcriptional changes in response to chemical treatments that can inform mechanisms or modes of action. These technologies provided an impetus to develop transcriptomic biomarkers that could transform genotoxicity hazard assessment for drugs, cosmetics, and environmental and industrial chemicals. In August 2022, the International Workshops on Genotoxicity Testing (IWGT) held a workshop to critically review progress in the development and application of transcriptomic biomarkers in genotoxicity testing. Here, we describe the findings of this workshop's subgroup that conducted a systematized review and analysis of in vitro transcriptomic biomarkers for evaluating genotoxicity. Although there is a multitude of published reports exploring transcriptomics in genetic toxicology, the working group identified only five in vitro transcriptomic biomarker candidates, of which three (GENOMARK, TGx-DDI, and MU2012) were independently developed with sufficiently defined context of use, validation data, and supporting case studies that warranted inclusion in the review. Although these in vitro biomarkers were developed independently and for different classes of chemicals (TGx-DDI for pharmaceuticals, GENOMARK for cosmetics, and MU2012 for medical and environmental chemicals), they all address the same shortfall of the standard in vitro genotoxicity testing battery, that is, lack of specificity by genotoxicity-induced stress response at the transcriptomic level. In this review, we discuss the development of these in vitro biomarkers, including challenges and progress toward achieving regulatory acceptance.

Wildland–urban interface (WUI) firefighting involves exposure to burning vegetation, structures, and other human-made hazards, often without respiratory protection. Response activities can last for long periods of time, spanning multiple days or weeks. Epigenetic modifications, including microRNA (miRNA) expression and DNA methylation, are responsive to toxicant exposures and are part of the development of cancers and other diseases. Epigenetic modifications have not been studied in relation to WUI fires. Firefighters (n = 99) from southern California, including 79 firefighters who responded to at least one WUI fire, provided blood samples at baseline and approximately 10 months later. We quantified the relative abundance of 800 miRNAs in blood samples using the nCounter Human v3 miRNA expression panel and blood leukocyte DNA methylation throughout the genome via the Infinium EPIC array. We used linear mixed models to compare the expression of each miRNA across time and DNA methylation at each locus, adjusting for potential confounders. In the miRNA analysis among all firefighters, 65 miRNAs were significantly different at follow-up compared to baseline at a false discovery rate of 5%. Results were similar when restricted to firefighters with a recorded WUI fire exposure during the interim period, although only 50 were significant. Expression of miRNA hsa-miR-518c-3p, a tumor suppressor, was significantly associated with WUI fire response (fold change 0.77, 95% CI = [0.69, 0.87]). In the DNA methylation analysis, no statistically significant changes over time were identified. In summary, WUI fire exposures over a wildfire season altered miRNA expression but did not substantially impact DNA methylation.

There is growing recognition across broad sectors of the toxicology community that gene expression biomarkers have the potential to identify genotoxic and nongenotoxic carcinogens through a weight-of-evidence approach, providing opportunities to reduce reliance on the 2-year bioassay to identify carcinogens. In August 2022, a workshop within the International Workshops on Genotoxicity Testing (IWGT) was held to critically review current methods to identify genotoxicants using various 'omics profiling methods. Here, we describe the findings of a workshop subgroup focused on the state of the science regarding the use of biomarkers to identify chemicals that act as genotoxicants in vivo. A total of 1341 papers were screened to identify those that were most relevant. While six published biomarkers with characterized accuracy were initially examined, four of the six were not considered further, because they had not been tested for classification accuracy using additional sets of chemicals or other transcript profiling platforms. Two independently derived biomarkers used in conjunction with standard computational techniques can identify genotoxic chemicals in vivo (rat liver or both rat and mouse liver) on different gene expression profiling platforms. The biomarkers have predictive accuracies of ≥92%. These biomarkers have the potential to be used in conjunction with other biomarkers in integrated test strategies using short-term rodent exposures to identify genotoxic and nongenotoxic chemicals that cause cancer.