用毒动力学-毒动力学模型预测金属混合物毒性,考虑时间依赖的不良结果路径
Lanpeng Yang1,2, Jing Zeng3, Ning Gao1
1Key Laboratory of Pollution Process and Environmental Criteria of Ministry of Education, Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, P. R. China.
这项研究将不良结果途径 (AOP) 与毒动力学-毒动力学 (TK-TD) 模型相结合,以预测金属混合物的毒性. 这种新的方法准确地预测了化学混合物随时间的推移而产生的影响,从而提高了生态毒理风险评估.
科学领域:
- 生态毒理学 生态毒理学
- 环境化学环境化学
- 计算毒理学计算毒理学
背景情况:
- 生态系统中的化学物质通常以混合物形式存在,这对预测它们的联合毒性影响构成重大挑战.
- 不良结果途径 (AOP) 和毒动力学-毒动力学 (TK-TD) 模型提供了机制性见解,但缺乏混合物评估的整合.
- 将AOP与TK-TD模型联系在一起的方法对于推进混合物的化学风险评估至关重要.
研究的目的:
- 开发和验证一种新的AOP-TK-TD综合模型,用于预测化学混合物的毒性.
- 用金属混合物 (-铜) 作为案例研究来证明该模型的适用性.
- 建立一个框架,将分子级事件纳入到生物体级毒性预测中.
主要方法:
- 时间转录组分析和生物试验被用来构建金属混合物的初步AOP.
- 从AOP中确定了一个关键事件,并将其用作TK-TD模型中损害的可测量的代理.
- 综合的AOP-TK-TD模型通过用这个可测量的关键事件取代理论参数来改进.
主要成果:
- 构建的AOP表明,长时间暴露会激活更多的关键事件和不良结果,揭示时间依赖的作用模式.
- 精细的TK-TD模型,结合了AOP衍生的关键事件,成功预测了随时间推移的铜混合物毒性.
- 该模型显示了分子反应和生物体水平结果之间的强烈联系.
结论:
- 综合的AOP-TK-TD方法提供了一种可靠的方法来预测化学混合物的毒性,特别是对金属.
- 这种方法可以扩展到评估其他金属混合物和复杂的多元组分混合物.
- 这项研究促进了我们对金属混合物生态毒理学的理解,并为改进化学风险评估提供了宝贵的工具.
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