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十溴二苯乙烷对部分血糖内分泌干扰的计算机辅助理论研究
引用本文:张天庆,杨秀榕,曾凡刚,张严.十溴二苯乙烷对部分血糖内分泌干扰的计算机辅助理论研究[J].生态毒理学报,2019,14(4):92-103.
作者姓名:张天庆  杨秀榕  曾凡刚  张严
作者单位:中央民族大学生命与环境科学学院,北京,100081;中国人民大学环境学院,北京,100872
基金项目:北京市大学生科学研究与创业行动计划(2017110018)
摘    要:随着十溴二苯乙烷(decabromodiphenyl ethane,DBDPE)的大量应用,它已经广泛存在于各种环境介质中,具有潜在的生物毒性。为了探究DBDPE影响血糖代谢水平的具体作用机制,应用DS3.5软件将其与部分血糖内分泌蛋白受体进行分子对接,并利用DBDPE类似物来构建三维定量构效关系(3D-QSAR)模型,预测出DBDPE的半最大效应浓度的负对数值(-log EC50)为5.86。结果表明,DBDPE是通过与部分血糖内分泌受体(雌激素受体、甲状腺激素受体和孕激素受体)结合而影响血糖代谢水平的。另外,根据构建模型,可以预测类似DBDPE的未知内分泌干扰物的活性数据。这些为认识DBDPE在机体内的作用机制、全面评价它的生态风险提供了理论依据。

关 键 词:十溴二苯乙烷(DBDPE)  分子对接  3D-QSAR模型  干扰血糖内分泌
收稿时间:2018/10/10 0:00:00
修稿时间:2018/12/25 0:00:00

Computer-aided Theoretical Study of Endocrine Disrupting of Some Blood Glucose by DBDPE
Zhang Tianqing,Yang Xiurong,Zeng Fangang,Zhang Yan.Computer-aided Theoretical Study of Endocrine Disrupting of Some Blood Glucose by DBDPE[J].Asian Journal of Ecotoxicology,2019,14(4):92-103.
Authors:Zhang Tianqing  Yang Xiurong  Zeng Fangang  Zhang Yan
Institution:1. College of Life and Environmental Science, Minzu University of China, Beijing 100081, China 2. School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Abstract:With decabromodiphenyl ethane (DBDPE) being widely used in the world, it has been detected in various environmental media and has potential biological toxicity. In order to explore the specific mechanism of DBDPE affecting the metabolism of blood glucose, the molecular dockings between DBDPE and glucose endocrine protein receptor were carried out by DS3.5 software and the three-dimensional quantitative structure-activity relationship (3D-QSAR) model was constructed on the basis of DBDPE analogs. The forecasting negative logarithm of the concentration for 50% of maximum effect (?logEC50) of DBDPE is 5.86. The results showed that DBDPE affected blood glucose by binding to certain endocrine receptors (estrogen receptor, thyroid hormone receptor and progesterone receptor). In addition, based on the model, we are able to predict the activity of DBDPE analogs which are potential unknown endocrine disruptors. Taken together, our results provide the theoretical basis for understanding the mechanism of DBDPE in vivo and evaluating its ecological risk comprehensively.
Keywords:DBDPE  molecular docking  3D-QSAR model  interference glucose endocrine
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