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Risk assessment of selective serotonin reuptake inhibitors: Comparing methods in tiered environmental risk assessment.

机译:选择性5-羟色胺再摄取抑制剂的风险评估:分层环境风险评估中的比较方法。

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摘要

Environmental detection of pharmaceuticals, including the selective serotonin reuptake inhibitor (SSRI) fluoxetine, has reinforced the need for environmental exposure, fate, effects, and hazard assessment of these chemicals. Environmental concentrations of SSRIs were predicted using current methodologies and compared to available measured environmental concentrations. The environmental fate of SSRIs fluoxetine, fluvoxamine, and sertraline was evaluated in microcosm model ecosystems; toxicity to algae and fish was evaluated at different tiers consisting of (quantitative) structure activity relationships, acute laboratory toxicity assays, and in microcosm model ecosystems. Hazard to fish and algae was evaluated using predicted environmental concentrations and toxicity values determined at each tier. The hazard at each tier was then compared to generate data-driven uncertainty factors (UFs) for extrapolation between tiers which were then used to extrapolate the additional hazard of the remaining SSRIs: citalopram and paroxetine. Furthermore, the utility of species sensitivity distributions (SSDs) and interspecies correlation estimation (ICE) was investigated as extrapolation methods and compared to pragmatic UFs. Overall, algae were found to be more sensitive than fish to SSRIs with sertraline being the most toxic of the SSRIs tested followed by fluoxetine and fluvoxamine. However, the hazard of SSRIs at current environmental concentrations is low. Moreover, SSDs and ICE show promise as extrapolation tools as they generated conservative hazard estimates that were more accurate than those derived using pragmatic UFs.
机译:药物的环境检测,包括选择性5-羟色胺再摄取抑制剂(SSRI)氟西汀,已经增加了对这些化学品的环境暴露,命运,影响和危害评估的需求。使用目前的方法可以预测SSRI的环境浓度,并将其与可用的测量环境浓度进行比较。在缩影模型生态系统中评估了SSRIs氟西汀,氟伏沙明和舍曲林的环境命运;对藻类和鱼类的毒性进行了不同级别的评估,包括(定量)结构活性关系,急性实验室毒性分析以及微观世界模型生态系统。使用预测的环境浓度和在每一层确定的毒性值来评估对鱼类和藻类的危害。然后比较每个层级上的危害,以生成数据驱动的不确定性因素(UFs)进行层间推断,然后将其用于推断剩余SSRI(西酞普兰和帕罗西汀)的其他危害。此外,物种敏感性分布(SSD)和种间相关估计(ICE)的实用性作为外推方法进行了研究,并与实用UF进行了比较。总体而言,发现藻类比鱼类对SSRI更敏感,其中舍曲林是被测试的SSRI中毒性最高的,其次是氟西汀和氟伏沙明。但是,在当前环境浓度下,SSRI的危害很小。而且,SSD和ICE有望作为外推工具,因为它们生成的保守危害估计值比使用务实UF得出的估计值更为准确。

著录项

  • 作者

    Johnson, David J.;

  • 作者单位

    University of Guelph (Canada).;

  • 授予单位 University of Guelph (Canada).;
  • 学科 Health Sciences Toxicology.; Biology Neuroscience.
  • 学位 M.Sc.
  • 年度 2004
  • 页码 112 p.
  • 总页数 112
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 毒物学(毒理学);神经科学;
  • 关键词

  • 入库时间 2022-08-17 11:43:28

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