Advancing the Effect-Directed Identification in Combined Pollution: Using Pathways to Link Effects and Toxicants

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2024-10-11 DOI:10.1021/acs.est.4c07735
Jing Guo, Yiwen Luo, Chao Fang, Jinsha Jin, Pu Xia, Bing Wu, Xiaowei Zhang, Hongxia Yu, Hongqiang Ren, Wei Shi
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Abstract

The difficulty in associating diverse pollutants with mixture effects has led to significant challenges in identifying toxicants in combined pollution. In this study, pathways were used to link effects and toxicants. By pathways evaluated by the concentration-dependent transcriptome, individual effects were extended to molecular mechanisms encompassing 135 pathways corresponding to 6 biological processes. Accordingly, mechanism-based identification of toxicants was achieved by constructing a pathway toxicant database containing 2413 chemical–pathway interactions and identifying pathway active fragments of 72 pathways. The developed method was applied to two different wastewaters, industrial wastewater OB and municipal wastewater HL. Although lethality and teratogenesis were both observed at the individual level, different molecular mechanisms were revealed by pathways, with cardiotoxicity- and genotoxicity-related pathways significantly enriched in OB, and neurotoxicity- and environmental information processing-related pathways significantly enriched in HL. Further suspect and nontargeted screening generated 59 and 86 causative toxicants in OB and HL, respectively, among which 29 toxicants were confirmed, that interacted with over 90% of enriched pathways and contributed over 50% of individual effects. After upgrading treatments based on causative toxicants, consistent removal of toxicants, pathway effects, and individual effects were observed. Mediation by pathways enables mechanism-based identification, supporting the assessment and management of combined pollution.

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推进综合污染中的效应定向识别:利用途径将效应和毒物联系起来
由于难以将各种污染物与混合物效应联系起来,因此在确定综合污染中的毒物时面临着巨大挑战。在这项研究中,使用路径将效应和毒物联系起来。通过浓度依赖性转录组评估的路径,将单个效应扩展到分子机制,包括与 6 个生物过程相对应的 135 条路径。因此,通过构建包含 2413 种化学物质-途径相互作用的途径毒物数据库,并识别 72 条途径的途径活性片段,实现了基于机制的毒物识别。所开发的方法被应用于两种不同的废水,即工业废水 OB 和城市污水 HL。虽然在个体水平上都观察到了致死性和致畸性,但不同的分子机制通过途径得到了揭示,其中心脏毒性和基因毒性相关途径在 OB 中显著富集,而神经毒性和环境信息处理相关途径在 HL 中显著富集。进一步的疑似和非靶向筛选在 OB 和 HL 中分别产生了 59 种和 86 种致病毒物,其中 29 种毒物得到了证实,它们与 90% 以上的富集途径发生了相互作用,并产生了 50% 以上的个体效应。根据致病毒物升级处理后,可以观察到毒物、通路效应和个体效应的一致去除。通过途径的中介作用,可以进行基于机制的识别,从而为综合污染的评估和管理提供支持。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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