Zhen Huajun, Teng Quincy, Mosley Jonathan D, Collette Timothy W, Yue Yang, Bradley Paul M, Ekman Drew R
U.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.
U.S. Geological Survey, South Atlantic Water Science Center, Columbia, South Carolina 29210, United States.
Environ Sci Technol. 2021 Jun 15;55(12):8180-8190. doi: 10.1021/acs.est.1c01132. Epub 2021 Jun 7.
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.
由于受到工业、城市和农业活动的影响,地表水通常含有各种化学污染物,这些污染物可能会对人类和野生动物产生不良影响。在此,我们报告了一种基于斑马鱼肝脏(ZFL)细胞的脂质组学方法的结果,该方法使用从美国大陆和波多黎各的八条受影响溪流中采集的水来评估复杂污染物混合物的潜在生态毒理学效应。我们最初使用高分辨率质谱对ZFL脂质组进行了表征,结果注释了涵盖27类的508种脂质。然后,我们确定了所有溪水样本(非特异性应激指标)引起的脂质变化以及特定溪流采集的水样特有的脂质变化。亚细胞影响根据细胞器特异性脂质变化进行分类,包括脂质饱和度增加(内质网应激)、双(单酰甘油)磷酸酯升高(溶酶体过载)、泛醌减少(线粒体功能障碍)和醚脂升高(过氧化物酶体应激)。最后,我们展示了这些结果如何能够独特地为地表水的环境监测和风险评估提供信息。