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Toxicokinetic-Toxicodynamic Modeling of the Effects of Pesticides on Growth of Rattus norvegicus

机译:农药毒性毒性学型号造型造型对罗瑟斯诺威治的生长

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Ecological risk assessment is carried out for chemicals such as pesticides before they are released into the environment. Such risk assessment currently relies on summary statistics gathered in standardized laboratory studies. However, these statistics extract only limited information and depend on duration of exposure. Their extrapolation to realistic ecological scenarios is inherently limited. Mechanistic effect models simulate the processes underlying toxicity and so have the potential to overcome these issues. Toxicokinetic-toxicodynamic (TK-TD) models operate at the individual level, predicting the internal concentration of a chemical over time and the stress it places on an organism. TK-TD models are particularly suited to addressing the difference in exposure patterns between laboratory (constant) and field (variable) scenarios. So far, few studies have sought to predict sublethal effects of pesticide exposure to wild mammals in the field, even though such effects are of particular interest with respect to longer term exposure. We developed a TK-TD model based on the dynamic energy budget (DEB) theory, which can be parametrized and tested solely using standard regulatory studies. We demonstrate that this approach can be used effectively to predict toxic effects on the body weight of rats over time. Model predictions separate the impacts of feeding avoidance and toxic action, highlighting which was the primary driver of effects on growth. Such information is relevant to the ecological risk posed by a compound because in the environment alternative food sources may or may not be available to focal species. While this study focused on a single end point, growth, this approach could be expanded to include reproductive output. The framework developed is simple to use and could be of great utility for ecological and toxicological research as well as to risk assessors in industry and regulatory agencies.
机译:在释放到环境之前,为杀虫剂等化学品进行生态风险评估。此类风险评估目前依赖于标准化实验室研究中收集的总结统计数据。然而,这些统计数据仅提取有限的信息并取决于曝光时间。他们的推断是现实的生态情景本质上有限。机械效应模型模拟毒性潜在的过程,因此有可能克服这些问题。毒性毒性动力学(TK-TD)模型在个体层面运行,预测化学物质的内部浓度随时间和生物体上的压力。 TK-TD型号特别适合于解决实验室(常数)和字段(可变)场景之间的曝光模式的差异。到目前为止,很少有研究试图预测农药暴露于该领域的野生哺乳动物的亚致致致致致致盲作用,尽管这些效果对于长期暴露是特别的兴趣。我们基于动态能源预算(DEB)理论,开发了一种TK-TD模型,可以仅使用标准调节研究来参数化和测试。我们证明这种方法可以有效地使用,以预测随时间对大鼠体重的毒性作用。模型预测分离饲料避免和毒性动作的影响,突出显示,这是对生长影响的主要驱动因素。这些信息与化合物所带来的生态风险相关,因为在环境中,替代食物来源可能或可能无法用于焦点物种。虽然这项研究专注于单一终点,但增长,这种方法可以扩展到包括生殖输出。开发的框架很容易使用,并且可能是生态和毒理学研究的巨大效用,以及工业和监管机构的风险评估员。

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