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Assessment of typical pollutants in waterborne by combining active biomonitoring and integrated biomarkers response

文献类型： 外文期刊

作者： He, Xiuting 1 ; Nie, Xiangping 1 ; Wang, Zhaohui 1 ; Cheng, Zhang 1 ; Li, Kaibin 2 ; Li, Guiying 3 ; Wong, Ming Hung 4 ;

作者机构： 1.Jinan Univ, Inst Hydrobiol, Guangzhou 510380, Guangdong, Peoples R China

2.Chinese Acad Fishery Sci, Pearl River Fisheries Res Inst, Guangzhou 510380, Guangdong, Peoples R China

3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Guangdong, Peoples R China

4.Hong Kong Baptist Univ, Croucher Inst Environm Sci, Kowloon Tong, Hong Kong, Peoples R China

5.Hong Kong Baptist Univ, Dept Biol, Kowloon Tong, Hong Kong, Peoples R China

6.Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA

关键词： ecotoxicology;mugilogobius abei;P450 enzyme activities;antioxidant enzyme;CYP1A gene;P-glycoprotein gene

期刊名称：CHEMOSPHERE （ 影响因子：7.086； 五年影响因子：6.956 ）

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收录情况： SCI

摘要： Organic pollutants, heavy metals and Pharmaceuticals are continuously dispersed into the environment and have become a relevant environmental emerging concern. In this study, a situ assay to assess ecotox-icity of mixed pollutants was carried out in three typical sites with different priority contaminations in Guangzhou, China. Chemical analysis of organic pollutants, metals and quinolones in three exposure sites were determined by GC-ECD/MS, ICP-AES and HPLC, as well as, a combination of biomarkers including: ethoxyresorufin O-deethylase (EROD); aminopyrine N-demethylase (APND); erythromycin N-demethyl-ase (ERND); glutathione S-transferase (GST); malondialdehyde (MDA); CYP1A; and P-glycoprotein (P-gp) mRNA expressions were evaluated in Mugilogobius abet. Results of chemical analysis in sediment samples revealed that the dominant chemicals were organic pollutants and heavy metals in Huadi River while quinolones in the pond. Bioassays indicated that differences among sites were in relation to some specific biomarkers. EROD and GST activities significantly increased after 72 h in situ exposure, but no difference was observed among the exposure sites. APND, ERND and MDA exhibited dissimilar change patterns for different priority pollutants. CYP1A and P-gp mRNA expressions were significantly induced at all exposure sites, whilst P-gp activity was typical for S2 with the highest levels of quinolones. The molecular biomarkers seemed to be more susceptible than enzyme activities. These assays confirmed the usefulness of applying a large array of various combined biomarkers at different levels, in assessing the toxic effects of mixed pollutants in a natural aquatic environment.

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