Lan Jiaqi, Gou Na, Rahman Sheikh Mokhles, Gao Ce, He Miao, Gu April Z
Department of Civil and Environmental Engineering, Northeastern University , 360 Huntington Avenue, Boston, Massachusetts 02115, United States.
Environmental Simulation and Pollution Control (ESPC) State Key Joint Laboratory, School of Environment, Tsinghua University , Beijing, 100084, China.
Environ Sci Technol. 2016 Mar 15;50(6):3202-14. doi: 10.1021/acs.est.5b05097. Epub 2016 Mar 2.
The ecological and health concern of mutagenicity and carcinogenicity potentially associated with an overwhelmingly large and ever-increasing number of chemicals demands for cost-effective and feasible method for genotoxicity screening and risk assessment. This study proposed a genotoxicity assay using GFP-tagged yeast reporter strains, covering 38 selected protein biomarkers indicative of all the seven known DNA damage repair pathways. The assay was applied to assess four model genotoxic chemicals, eight environmental pollutants and four negative controls across six concentrations. Quantitative molecular genotoxicity end points were derived based on dose response modeling of a newly developed integrated molecular effect quantifier, Protein Effect Level Index (PELI). The molecular genotoxicity end points were consistent with multiple conventional in vitro genotoxicity assays, as well as with in vivo carcinogenicity assay results. Further more, the proposed genotoxicity end point PELI values quantitatively correlated with both comet assay in human cell and carcinogenicity potency assay in mice, providing promising evidence for linking the molecular disturbance measurements to adverse outcomes at a biological relevant level. In addition, the high-resolution DNA damaging repair pathway alternated protein expression profiles allowed for chemical clustering and classification. This toxicogenomics-based assay presents a promising alternative for fast, efficient and mechanistic genotoxicity screening and assessment of drugs, foods, and environmental contaminants.
与数量极其庞大且不断增加的化学物质潜在相关的致突变性和致癌性所引发的生态与健康问题,需要一种经济高效且可行的遗传毒性筛选和风险评估方法。本研究提出了一种使用绿色荧光蛋白(GFP)标记的酵母报告菌株的遗传毒性检测方法,涵盖38种选定的蛋白质生物标志物,这些标志物可指示所有七种已知的DNA损伤修复途径。该检测方法应用于评估四种模型遗传毒性化学物质、八种环境污染物以及六种浓度的四种阴性对照。基于新开发的综合分子效应量化指标——蛋白质效应水平指数(PELI)的剂量反应模型,得出了定量分子遗传毒性终点。分子遗传毒性终点与多种传统体外遗传毒性检测方法以及体内致癌性检测结果一致。此外,所提出的遗传毒性终点PELI值与人类细胞彗星试验和小鼠致癌性效能试验均存在定量相关性,为在生物学相关水平上把分子干扰测量结果与不良后果联系起来提供了有力证据。另外,高分辨率的DNA损伤修复途径交替蛋白表达谱允许对化学物质进行聚类和分类。这种基于毒理基因组学的检测方法为药物、食品和环境污染物的快速、高效和机制性遗传毒性筛选及评估提供了一种有前景的替代方法。