State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; Medical College, Henan Polytechnic University, Jiaozuo 454000, PR China.
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, PR China.
Talanta. 2017 Dec 1;175:413-420. doi: 10.1016/j.talanta.2017.07.068. Epub 2017 Jul 25.
Contaminants of emerging concern are continuously increasing, which makes it important to develop high throughput screening techniques for the evaluation of their potential biological effects, especially endocrine disrupting effects, which would directly influence the population dynamics in environment. A novel competitive binding assay based on enzyme fragmentation complementation technology was established to screen the binding affinities of emerging chemicals for estrogen receptor (ER) α or β isoforms. Exogenous compounds could compete with the fragment (ED-ES) of genetically engineered β-galactosidase enzyme (β-gal) for the binding to ERα or β, thus quantitatively altering the formation of enzymatically active β-gal and the hydrolysis of luminescent substrate. According to the monitoring of luminescence curves and the optimization of ERα or β concentrations, it was found that luminescent signals were sustainably emitted for 9h, and 40nM ERα or β in the system would lead to the most sensitive luminescence response. Using 17β-estrodiol (E) and genistein as the representative estrogenic hormones, their binding affinities for ERα and β were evaluated. The results were consistent with those determined by traditional methods, which confirmed the reliability of this competitive binding assay based on β-gal. Four polyfluorinated iodine alkanes (PFIs) with specific structural characteristics in iodine substitution and carbon chain length were screened, and the results showed diverse binding affinities and different preferences of these chemicals to ERα or β isoforms. The binding affinities of PFIs for ERα were consistent with the result from MVLN transcriptional reporter assay. Overall, the competitive binding assay presented in this study provided a promising alternative to high throughput screening of emerging chemicals with estrogenic effects, which would be important in explanation of their potential toxicological effects and human exposure risks.
不断增加的新兴关注污染物使得开发高通量筛选技术以评估其潜在的生物学效应变得非常重要,特别是内分泌干扰效应,这将直接影响环境中的种群动态。本研究建立了一种基于酶片段互补技术的新型竞争结合分析,用于筛选新兴化学物质与雌激素受体 (ER)α或β 异构体的结合亲和力。外源性化合物可以与遗传工程β-半乳糖苷酶 (β-gal) 的片段 (ED-ES) 竞争与 ERα 或β 的结合,从而定量改变酶活性β-gal 的形成和发光底物的水解。根据发光曲线的监测和 ERα 或β 浓度的优化,发现发光信号可持续发射 9h,系统中 40nM ERα 或β 会导致最敏感的发光响应。使用 17β-雌二醇 (E) 和染料木黄酮作为代表性的雌激素,评估它们与 ERα 和β 的结合亲和力。结果与传统方法一致,证实了基于β-gal 的这种竞争结合分析的可靠性。筛选了具有碘取代和碳链长度特定结构特征的四种全氟碘烷 (PFIs),结果表明这些化学物质具有不同的结合亲和力和对 ERα 或β 异构体的不同偏好。PFIs 与 ERα 的结合亲和力与 MVLN 转录报告基因分析的结果一致。总体而言,本研究中提出的竞争结合分析为具有雌激素效应的新兴化学物质的高通量筛选提供了一种有前途的替代方法,这对于解释其潜在的毒理学效应和人类暴露风险非常重要。