文献类型：期刊文献

英文题名：Untargeted Lipidomics for Determining Cellular and Subcellular Responses in Zebrafish (Danio rerio) Liver Cells Following Exposure to Complex Mixtures in US Streams

作者：Zhen, Huajun[1,3];Teng, Quincy[1];Mosley, Jonathan D.[1];Collette, Timothy W.[1];Yue, Yang[1,4];Bradley, Paul M.[2];Ekman, Drew R.[1]

机构：[1]US EPA, Ctr Environm Measurement & Modeling, Athens, GA 30605 USA;[2]US Geol Survey, South Atlantic Water Sci Ctr, Columbia, SC 29210 USA;[3]East China Univ Sci & Technol, State Environm Protect Key Lab Environm Risk Asse, Sch Resources & Environm Engn, Shanghai 200237, Peoples R China;[4]Wayne State Univ, Sch Med, Barbara Ann Karmanos Canc Inst, Detroit, MI 48201 USA

年份：2021

卷号：55

期号：12

起止页码：8180

外文期刊名：ENVIRONMENTAL SCIENCE & TECHNOLOGY

收录：;EI(收录号：20212610558017);WOS:【SCI-EXPANDED(收录号:WOS:000663939900042)】；

基金：H.Z. was supported by the U.S. EPA Great Lakes National Program Office and an NRC Research Associateship award at the U.S. EPA Center for Environmental Measurement and Modeling. Yang Yue was supported by the U.S. EPA Chemical Safety for Sustainability Research Program through an appointment to the Postdoctoral Research Program at the Center for Environmental Measurement and Modeling administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the U.S. EPA. Additional funding was provided by the U.S. EPA Chemical Safety for Sustainability Research Program and the USGS Toxic Substances Hydrology Program. This manuscript has been reviewed in accordance with official U.S. EPA and USGS policy and approved for publication. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The findings and conclusions in this article do not necessarily represent the views or policies of the U.S. EPA.

语种：英文

外文关键词：lipidomics; cell culture; water quality; environmental monitoring; organelles

摘要：Surface waters often contain a variety of chemical contaminants potentially capable of producing adverse outcomes in both humans and wildlife due to impacts from industrial, urban, and agricultural activity. Here, we report the results of a zebrafish liver (ZFL) cell-based lipidomics approach to assess the potential ecotoxicological effects of complex contaminant mixtures using water collected from eight impacted streams across the United States mainland and Puerto Rico. We initially characterized the ZFL lipidome using high resolution mass spectrometry, resulting in the annotation of 508 lipid species covering 27 classes. We then identified lipid changes induced by all streamwater samples (nonspecific stress indicators) as well as those unique to water samples taken from specific streams. Subcellular impacts were classified based on organelle-specific lipid changes, including increased lipid saturation (endoplasmic reticulum stress), elevated bis(monoacylglycero)phosphate (lysosomal overload), decreased ubiquinone (mitochondrial dysfunction), and elevated ether lipids (peroxisomal stress). Finally, we demonstrate how these results can uniquely inform environmental monitoring and risk assessments of surface waters.