Distribution of 31 endocrine-disrupting compounds in the Taihu Lake and application of the fish plasma model
Distribution of 31 endocrine-disrupting compounds in the Taihu Lake and application of the fish plasma model
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太湖31种内分泌干扰物分布及鱼类血浆模型应用
DOI：
10.1186/s12302-020-00347-0
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发表时间：
2020-05-24
影响因子：
5.9
通讯作者：
Yin, Daqiang
中科院分区：
文献类型：
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作者：
Bao, Yifan;Huang, Wenping;Yin, Daqiang
研究背景鱼血浆模型的成功应用将大大简化药物风险评估。目前，该方法已应用于几种具有高度疏水性的人类药物的风险评估。然而，它对各种化合物的适用性还需要测试。现场研究内分泌干扰物(EDCs)在水和鱼血浆中的分布特征，对促进FPM的成功应用起着关键作用。结果研究了太湖地区5种野生鱼类体内31种内分泌细胞的分布，包括7种雌激素、8种雄激素、6种孕酮、5种糖皮质激素和5种工业化合物，并用现场数据验证了典型的内源性内分泌细胞在水和血浆中的分布。大多数化合物的检测浓度较低(<； 10 ng/L)，工业化合物是主要污染物，最高浓度可达291.7 ng/L(双酚A)。总体而言，在各种鱼类的血浆中检测到的糖皮质激素浓度最高，其次是工业化合物和雌激素。除了糖皮质激素(可的松高达43.61)外，其他四类内分泌细胞在鱼类血浆中的平均浓度普遍较低(<； 10μg/L)。20种内分泌细胞的有效生物积累因子(BAFs)在0~5626之间。内分泌细胞在鱼血浆中的生物积累不仅依赖于疏水性，而且还具有鱼种特异性和化合物依赖性。测试结果表明，对数BAFS的实测值与理论值的对数BCFS只有在有限的EDC中才能观察到良好的一致性(20个中有7个)。现有的FPM普遍低估了大多数亲水性内分泌细胞(LogKow <； 3.87，满分为20)的对数BAFF，而高估了几种高度疏水的内分泌细胞(Log Kow >； 3.87)在鱼血浆中的对数BAFF。结论尽管目前的FFP模型还不能令人满意，但它仍有希望用于预测内源性DC在鱼血浆中的积累和进一步的环境风险评估。
BackgroundThe successful application of Fish plasma model (FPM) will greatly simplify the risk assessment of drugs. At present, the FPM has been applied to the risk assessment of several human drugs with high hydrophobicity. However, its applicability to a wide variety of compounds needs to be tested. Field work about distribution characteristics of endocrine disrupting compounds (EDCs) in water and in fish plasma plays a key role in promoting the successful application of FPM. However, there are few reports on the distribution of EDCs in fish, especially in wild fish plasma.ResultsThe distribution of 31 EDCs, including seven estrogens, eight androgens, six progesterones, five glucocorticoids, and five industrial compounds, in water and plasma of five categories of wild fishes in Taihu Lake was studied and the typical FPM was tested by the field data. The detected concentration of most compounds is relatively low (< 10 ng/L), and the industrial compounds are the predominant pollutants with the highest concentration up to 291.7 ng/L (Bisphenol A) in water. In general, glucocorticoids were detected at the highest concentrations in plasma of all kinds of fishes, followed by industrial compounds and estrogens. Except for glucocorticoids (up to 43.61 for Cortisone), the average concentrations of the other four categories of EDCs in fish plasma were generally low (< 10 μg/L). The available measured bioaccumulation factors (BAFs) of 20 kinds of EDCs were in the range of 0 to 5626. The bioaccumulation of EDCs in fish plasma is not only hydrophobicity-dependent, but is also both fish species-specific and compound-dependent. The classical FPM was tested and the results indicated that the good coincides of measured log BAFs and the theoretical log BCFs were only observed for limited EDCs (7 out of 20). The present available FPM generally underestimated the Log BAFs of most hydrophilic EDCs (log Kow < 3.87, 11 out of 20) whereas overestimated the Log BAFs of several high hydrophobic EDCs (Log Kow > 3.87) in fish plasma.ConclusionAlthough the present FPM is barely satisfactory, it is still promising for predicting the accumulation of EDCs in fish plasma and for further environmental risk assessment.