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基于剂量-反应动态模型的生态毒性评估生物标志物评价:硝呋唑酮对模式纤毛虫缘毛类(Euplotes vannus)抗氧化酶的影响。

Evaluation of biomarkers for ecotoxicity assessment by dose-response dynamic models: Effects of nitrofurazone on antioxidant enzymes in the model ciliated protozoan Euplotes vannus.

机构信息

Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, South China Normal University, Guangzhou 510631, PR China.

Department of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.

出版信息

Ecotoxicol Environ Saf. 2017 Oct;144:552-559. doi: 10.1016/j.ecoenv.2017.06.069. Epub 2017 Jul 5.

DOI:10.1016/j.ecoenv.2017.06.069
PMID:28688356
Abstract

Understanding dose-responses is crucial for determining the utility of biomarkers in ecotoxicity assessment. Nitrofurazone is a broad-spectrum antibiotic that is widely used in the aquaculture industry in China despite its detrimental effects on ecosystems. Potential dose-response models were examined for the effect of nitrofurazone on two antioxidant enzymes, superoxide dismutase (SOD) and glutathione peroxidase (GPx), in the ciliated protozoan Euplotes vannus. This was achieved by measuring enzyme activity and gene expression profiling of SOD and GPx in ciliate cells exposed to nitrofurazone at doses ranging from 0 to 180mgl for 6h, 12h, 18h and 24h. Dose-response dynamics were characterized by mathematical models. Results showed that: 1) dose-response patterns differed significantly among the tested endpoints, nitrofurazone concentrations and durations of exposure; 2) GPx activity was the best candidate biomarker because of its linear dose-response relationship; 3) SOD activity and mRNA relative expression levels of GPx and SOD are also candidate biomarkers but their dose-responses were non-linear and therefore more difficult to interpret; 4) partitioning the dose-response dynamic model by piecewise function can help to clarify the relationships between biological endpoints. This study demonstrates the utility of dynamic model analysis and the potential of antioxidant enzymes, in particular GPx activity, as a candidate biomarkers for environmental monitoring and risk assessment of nitrofurazone in the aquaculture industry.

摘要

理解剂量-反应关系对于确定生物标志物在生态毒理学评估中的效用至关重要。硝呋唑酮是一种广谱抗生素,尽管它对生态系统有不利影响,但在中国水产养殖业中仍被广泛使用。本研究通过测量在 0 至 180mgl 剂量范围内暴露于硝呋唑酮 6h、12h、18h 和 24h 的纤毛虫细胞中超氧化物歧化酶(SOD)和谷胱甘肽过氧化物酶(GPx)的酶活性和基因表达谱,研究了硝呋唑酮对两种抗氧化酶(超氧化物歧化酶[SOD]和谷胱甘肽过氧化物酶[GPx])的影响的潜在剂量-反应模型。在纤毛虫 Euplotes vannus 中。剂量-反应动力学用数学模型来描述。结果表明:1)在测试终点、硝呋唑酮浓度和暴露时间之间,剂量-反应模式存在显著差异;2)由于 GPx 活性具有线性剂量-反应关系,因此它是最佳的候选生物标志物;3)SOD 活性和 GPx 和 SOD 的 mRNA 相对表达水平也是候选生物标志物,但它们的剂量-反应是非线性的,因此更难解释;4)通过分段函数对剂量-反应动态模型进行划分有助于阐明生物终点之间的关系。本研究证明了动态模型分析的实用性,以及抗氧化酶(特别是 GPx 活性)作为环境监测和水产养殖行业中硝呋唑酮风险评估的候选生物标志物的潜力。

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