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In vitro biotransformation of surfactants in fish. Part II - Alcohol ethoxylate (C16EO8) and alcohol ethoxylate sulfate (C14EO2S) to estimate bioconcentration potential

机译:鱼中表面活性剂的体外生物转化。第二部分-乙醇乙氧基化物(C16EO8)和乙醇乙氧基化物硫酸盐(C14EO2S)估算生物富集潜力

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摘要

Recent regulatory pressures (e.g., REACh, CEPA) requiring bioaccumulation assessments and the need for reduced animal use have increased the necessity for the development of in vitro-based methods to estimate bioaccumulation. Our study explored the potential use of subcellular and cellular hepatic systems to determine the biotransformation potential of two surfactants: octaethylene glycol mono-hexadecyl ether (C16EO8) and diethylene glycol monotetradecyl ether sulfate (C14EO2S). The subcellular systems tested were liver homogenates and microsomes from the common carp (Cyprinus carpio) and rainbow trout (Oncorhynchus mykiss). Cellular systems consisted of primary hepatocytes from the common carp (C carpio) and PLHC-1 cells, hepatocarcinoma cells from the desert topminnow (Poecil-iopsis lucida) cell line. Each in vitro system was exposed to radiolabeled test compounds and assayed for biotransformation using liquid scintillation and thin layer chromatographic methods. First-order kinetics were used to estimate rates of biotransformation. Bioconcentration of test materials in fish were predicted using an in vitro to in vivo metabolic rate extrapolation model linked to a mass-balance model commonly used to predict bioaccumulation in fish. Both subcellular and cellular tests using microsomes, liver homogenates and hepatocytes respectively showed biotransformation of the parent surfactants. Biotransformation rates were fastest for hepatocytes, followed by microsomes and homogenates. Rates were too low from homogenate tests to extrapolate to in vivo-based biotransformation rates using the extrapolation model. Trout microsomes metabolized C16EO8 faster than carp microsomes, yet rates were approximately the same for C14E02S. Predicted BCF values incorporating in vitro biotransformation rates from hepatocytes were similar to measured in vivo or USEPA's bioconcentration model (BCFW1N) predicted values. Predicted BCF values using microsomal-based rates from trout and carp studies were only slightly less than default BCF values which assumes a linear log Kow to BCF relationship with no biotransformation. However, hepatocyte-based results showed substantially decreased BCFs compared to the default BCF values. These results indicate that BCF estimates based on in vitro metabolic rates can provide reasonable estimates of in vivo BCF values, therefore, supporting the use of in vitro approaches within a tiered approach to assess bioconcentration.
机译:需要评估生物蓄积性的最新监管压力(例如REACh,CEPA)以及减少动物使用的需求增加了开发基于体外的方法来评估生物蓄积性的必要性。我们的研究探索了利用亚细胞和细胞肝系统确定两种表面活性剂的生物转化潜力的潜力:八乙二醇单十六烷基醚(C16EO8)和二乙二醇单十四烷基硫酸盐(C14EO2S)。测试的亚细胞系统是来自鲤鱼(Cyprinus carpio)和虹鳟鱼(Oncorhynchus mykiss)的肝匀浆和微粒体。细胞系统由来自普通鲤鱼(C carpio)和PLHC-1细胞的原代肝细胞,以及来自沙漠topminnow(Poecil-iopsis lucida)细胞系的肝癌细胞组成。将每个体外系统暴露于放射性标记的测试化合物,并使用液体闪烁和薄层色谱法测定其生物转化。一级动力学用于估计生物转化率。使用体外到体内的代谢率外推模型与通常用于预测鱼体内生物蓄积的质量平衡模型相联系,可以预测鱼中测试物质的生物浓度。使用微粒体,肝匀浆和肝细胞的亚细胞和细胞测试分别显示了母体表面活性剂的生物转化。肝细胞的生物转化速度最快,其次是微粒体和匀浆。从匀浆测试的速率太低,无法使用外推模型外推到基于体内的生物转化率。鳟鱼微粒体的C16EO8代谢速度比鲤鱼微粒体快,但C14E02S的代谢率大致相同。结合了体外肝细胞生物转化率的BCF预测值与体内或USEPA的生物浓缩模型(BCFW1N)的预测值相似。使用鳟鱼和鲤鱼研究中基于微粒体的速率预测的BCF值仅略低于默认BCF值,后者假定Klog与BCF之间存在线性对数关系且无生物转化。但是,基于肝细胞的结果显示,与默认BCF值相比,BCF显着降低。这些结果表明,基于体外代谢率的BCF估计值可以提供体内BCF值的合理估计值,因此,支持在分层方法中使用体外方法评估生物浓度。

著录项

  • 来源
    《Chemosphere》 |2009年第7期|989-998|共10页
  • 作者单位

    The Procter and Gamble Company, Central Product Safety Division, Miami Valley Innovation Center, 11810 E. Miami River Road, P.O. Box 538707, Cincinnati, OH 45253-8707, USA;

    The Procter and Gamble Company, Central Product Safety Division, Miami Valley Innovation Center, 11810 E. Miami River Road, P.O. Box 538707, Cincinnati, OH 45253-8707, USA;

    The Procter and Gamble Company, Central Product Safety Division, Miami Valley Innovation Center, 11810 E. Miami River Road, P.O. Box 538707, Cincinnati, OH 45253-8707, USA;

    INRA Institut National de Recherche Agronomique. UMR1089 Xenobiotiques, BP 93173, F31300 Toulouse, France;

    INRA Institut National de Recherche Agronomique. UMR1089 Xenobiotiques, BP 93173, F31300 Toulouse, France;

    INRA Institut National de Recherche Agronomique. UMR1089 Xenobiotiques, BP 93173, F31300 Toulouse, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    surfactant; fish; hepatocyte; metabolism; toxicology;

    机译:表面活性剂鱼;肝细胞代谢;毒理学;

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