在混合污染中推进以效应为导向的识别:使用途径将效应与毒素联系起来
Jing Guo1,2,3, Yiwen Luo4, Chao Fang5
1State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Environmental science & technology
|October 11, 2024
概括
本研究引入了一种基于途径的方法,用于识别复杂污染混合物中的有毒物质. 这种方法将分子机制与有害影响联系起来,有助于评估和管理混合污染物.
科学领域:
- 环境毒理学环境毒理学
- 分子毒理学 分子毒理学
- 系统毒理学 系统毒理学
背景情况:
- 在复杂的污染混合物中识别特定的有毒物质由于混合物效应而具有挑战性.
- 传统方法很难将观察到的不良影响与分子层面的致病剂联系起来.
研究的目的:
- 开发和验证一种基于路径的方法,用于机制驱动的联合污染中毒素的识别.
- 通过转录学识别的分子机制与生物效应和致病剂联系起来.
主要方法:
- 利用度依赖的转录组学来评估6个生物过程中的135个途径.
- 构建了一个毒素路径相互作用数据库 (2413个相互作用) 并确定了活性路径碎片 (72个路径).
- 将该方法应用于工业 (OB) 和城市 (HL) 废水,然后对有毒物质进行可疑和非目标查.
主要成果:
- 路径分析揭示了OB (心脏毒性,基因毒性) 和HL (神经毒性,环境信息处理) 的独特分子机制.
- 在OB和HL中确定了59种和86种致病性毒素,其中29种已确认的毒素与超过90%的富化途径相互作用,并贡献超过50%的效应.
- 基于已识别的有毒物质的升级废水处理,导致有毒物质,通路效应和个体效应的持续去除.
结论:
- 途径调解能够基于机制识别混合污染中的有毒物质.
- 这种方法支持对复杂污染物混合物的更有效的环境风险评估和管理策略.
- 这项研究证明了将转录组学,途径分析和毒素识别纳入环境监测和修复的实用性.
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