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雌激素干扰物的联合毒性研究进展

本站小编 Free考研考试/2021-12-30

杨蓉1,
马梅2,3,,,
王子健2
1. 北京市南水北调水质监测中心, 北京 100093;
2. 中国科学院生态环境研究中心, 中国科学院饮用水科学与技术重点实验室, 北京 100085;
3. 中国科学院大学资源与环境学院, 北京 100190
作者简介: 杨蓉(1987-),女,博士,研究方向为水生态毒理学,E-mail:ygrg1987@gmail.com.
通讯作者: 马梅,mamei@rcees.ac.cn ;
基金项目: 中国科学院饮用水科学与技术重点实验室专项经费资助项目(18K01KLDWST);中国科学院前沿科学重点研究项目(QYZDY-SSW-DQC004);国家自然科学基金重点项目(21437006)


中图分类号: X171.5


Recent Research Advances in Joint Toxicity of Estrogenic Disruptors

Yang Rong1,
Ma Mei2,3,,,
Wang Zijian2
1. Beijing Water Quality Monitoring Center for South-to-North Water Diversion, Beijing 100093, China;
2. Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;
3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
Corresponding author: Ma Mei,mamei@rcees.ac.cn ;

CLC number: X171.5

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摘要:生物体对雌激素高度敏感,环境中的雌激素干扰物可以在低浓度下干扰内源雌激素的正常功能,导致雌激素干扰物在数十年间都是环境科学的研究热点之一。所有生物均暴露在复杂的环境污染物中,多种干扰物共同存在产生的混合物效应更应受到关注。为预测和评价环境雌激素干扰物的联合效应,许多研究从数学模型、信号通路分析等方面提出了解决方法并加以应用,本文综述了雌激素污染物混合作用联合毒性研究模型的发展和现存问题,进而对未来的发展进行了展望。
关键词: 雌激素干扰物/
混合物/
联合作用/
加和模型/
作用机制

Abstract:Organisms are highly sensitive to estrogens. Due to their ability of interfering with normal function of endogenous estrogen at very low concentration, they have been a research hotspot of environmental science for decades. Different from the toxicity test conducted under strictly controlled conditions, in reality all organisms are exposed to complex environmental pollutants, leading to particular concern on the mixture effects produced by the co-existence of estrogenic disruptors. In order to predict and evaluate the joint action of environmental estrogenic disruptors, mathematical models and signal pathway analysis have been developed and applied. This paper summarizes the traditional and recent prediction methods in this field, and discusses the future research directions for combined toxicity of estrogenic disruptors.
Key words:estrogen disruptors/
mixture/
combined effects/
additive model/
mode of action.

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