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Development and characterization of a human cell line-based transactivation assay to assess thyroid EDCs.
Environmental Research ( IF 7.7 ) Pub Date : 2020-01-02 , DOI: 10.1016/j.envres.2020.109110
Seok-Hee Lee 1 , Hyeyeong Seo 2 , Hee-Seok Lee 3 , Yooheon Park 1
Affiliation  

Thyroid hormones (THs) are one of the most important hormones, playing key roles in the regulation of various physiological functions. Although THs have important function in human, in vitro test methods based on human cells are currently insufficient to effectively screen and test TH-related endocrine disrupting chemicals (EDCs). We established a TH agonist TA assay using the adenocarcinomic human alveolar basal epithelial cell line A549 to test and screen potential TH agonists. To establish the TH agonist TA assay, a TRE-secNluc-IRES-EGFP reporter cassette was constructed and transfected into the A549 cell line using a retrovirus. We evaluated the TH agonistic properties of several chemicals which were tested by existing thyroid agonists testing method (OECD GD 207). Comparing the results of the TH agonist TA assay with the OECD GD 207, T3, T4, tiratricol, and tetrac (natural TH and 3,3',5,5'-tetraiodothyroacetic acid derivatives), which are TH agonists according to the OECD GD 207, also tested positive in the TH agonist TA assay using the A549 cell line. These results suggested that the TH agonist TA assay developed in this study using a human cell line can provide the information, such as accuracy and specificity to TH agonistic properties of chemicals.

中文翻译:

基于人细胞系的反式激活测定法的开发和表征,以评估甲状腺EDC。

甲状腺激素(THs)是最重要的激素之一,在调节各种生理功能中起着关键作用。尽管TH在人类中具有重要的功能,但是基于人类细胞的体外测试方法目前不足以有效地筛选和测试TH相关的内分泌干扰物(EDC)。我们使用腺癌人类肺泡基底上皮细胞系A549建立了TH激动剂TA分析,以测试和筛选潜在的TH激动剂。为了建立TH激动剂TA测定法,构建了TRE-secNluc-IRES-EGFP报告基因盒,并使用逆转录病毒将其转染到A549细胞系中。我们评估了几种化学物质的TH激动特性,这些物质通过现有的甲状腺激动剂测试方法(OECD GD 207)进行了测试。将TH激动剂TA分析的结果与OECD GD 207,T3,T4进行比较,根据OECD GD 207的TH激动剂,曲拉三醇和tetrac(天然TH和3,3',5,5'-四碘甲氧基乙酸衍生物)在使用A549细胞系进行的TH激动剂TA分析中也呈阳性反应。这些结果表明,在这项研究中开发的使用人类细胞系的TH激动剂TA分析方法可以提供信息,例如化学物质TH激动特性的准确性和特异性。
更新日期:2020-01-02
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