基于HepG2细胞脂质组学方法对黄浦江水质的综合评价
Comprehensive Evaluation of Water Quality of Huangpu River Using HepG2 Cell-based Lipidomics Approach
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摘要: 环境水体中复合污染的毒性识别一直是环境科学界关注的热点。基于代谢组学的生物监测方法通过监测暴露前后生物内源性代谢物的变化，在评估复合污染导致的综合毒性效应中具有广泛的应用前景。本研究从污染物对细胞脂类代谢的影响角度出发，采用体外肝癌细胞（HepG2）暴露和脂质组分析相结合的方法，对黄浦江干流和支流共27个采样点的水质进行了综合评价。研究发现，水样对HepG2细胞的脂代谢影响程度与采样点所属河段紧密相关。黄浦江中游水样对HepG2细胞的平均脂代谢影响程度（3.40%）高于上游（1.65%）和下游（0.78%），而流经城区的支流水样对细胞的脂代谢影响（5.20%）明显高于干流水样（1.80%）。此外，在采集的水样中超过70%的样品都导致HepG2细胞内甘油三酯（TG）大量蓄积，揭示了黄浦江水体中的复合污染物可能诱导肝脏产生脂毒性损伤。本研究为环境水质监测提供新的方法，研究结果为上海市生态环境和水质安全管理部门提供重要的参考信息。Abstract: Toxicity characterization of complex environmental mixtures has become one of the main focuses of attention among environmental scientists. And biomonitoring using metabolomics-based approaches have the potential of providing valuable ecotoxicological information for complex environmental mixtures. In the current study, a cell-based lipidomics approach has been developed to assess the water quality of Huangpu River in Shanghai. The magnitude of impact on HepG2 lipidome was found to be dependent on the specific location of sampling sites along the river. The impact on HepG2 lipidome from the middle reaches samples (3.40%) is higher than that from upstream (1.65%) and downstream (0.78%), and the impact from tributaries that flow across the downtown area (5.20%) was significantly higher than that from the mainstream (1.80%). The exposed HepG2 cells exhibited a common pattern of triglyceride (TG) accumulation, implying the hepatic lipotoxicity of complex mixtures of pollutants that are present in Huangpu River. Overall, this study demonstrated the utility of cell-based lipidomics as an effective tool for assessing the biological effects of complex pollutant mixtures. It also provided important information on water quality that could potentially aid in the management of ecological safety and water quality in Shanghai.
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Key words:
- complex environmental mixtures /
- HepG2 cells /
- mixture toxicity assessment /
- lipidomics /
- Huangpu River
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