PDF(Pubmed)
Abstract：
Genotoxic substances widely exist in the environment and the food supply, posing serious health risks due to their potential to induce DNA damage and cancer. Traditional genotoxicity assays, while valuable, are limited by insufficient sensitivity, specificity, and efficiency, particularly when applied to complex food matrices. This study introduces a multiparametric high-content analysis (HCA) for the detection of genotoxic substances in complex food matrices. The developed assay measures three genotoxic biomarkers, including γ-H2AX, p-H3, and RAD51, which enhances the sensitivity and accuracy of genotoxicity screening. Moreover, the assay effectively distinguishes genotoxic compounds with different modes of action, which not only offers a more comprehensive assessment of DNA damage and the cellular response to genotoxic stress but also provides new insights into the exploration of genotoxicity mechanisms. Notably, the five tested food matrices, including coffee, tea, pak choi, spinach, and tomato, were found not to interfere with the detection of these biomarkers under proper dilution ratios, validating the robustness and reliability of the assay for the screening of genotoxic compounds in the food industry. The integration of multiple biomarkers with HCA provides an efficient method for detecting and assessing genotoxic substances in the food supply, with potential applications in toxicology research and food safety.
摘要：
遗传毒性物质广泛存在于环境和食物供应中,由于它们可能引起DNA损伤和癌症，因此构成严重的健康风险。传统的遗传毒性试验,虽然有价值，受到灵敏度不足的限制，特异性，和效率，特别是当应用于复杂的食物基质时。这项研究引入了一种多参数高含量分析（HCA），用于检测复杂食品基质中的基因毒性物质。开发的测定法测量三种基因毒性生物标志物，包括γ-H2AX，p-H3和RAD51，提高了遗传毒性筛查的敏感性和准确性。此外，该测定法有效区分具有不同作用模式的基因毒性化合物，这不仅可以更全面地评估DNA损伤和细胞对遗传毒性应激的反应，还可以为探索遗传毒性机制提供新的见解。值得注意的是,五个测试的食物矩阵，包括咖啡,茶，白菜,菠菜,还有番茄,被发现在适当的稀释比例下不会干扰这些生物标志物的检测，验证了食品工业中基因毒性化合物筛选试验的稳健性和可靠性。多种生物标志物与HCA的整合为检测和评估食品供应中的基因毒性物质提供了一种有效的方法。在毒理学研究和食品安全方面具有潜在的应用。
