Sánchez-Bayo Francisco, Goka Kouichi
Laboratory of Applied Entomology and Zoology, Faculty of Horticulture, Chiba University, 648 Matsudo-shi, Chiba 271-8510, Japan.
Ecotoxicology. 2007 Oct;16(7):511-23. doi: 10.1007/s10646-007-0158-9. Epub 2007 Jul 11.
The basis of ecotoxicology lies currently in the dose-response of organisms to toxicants, as typically described by probit and logistic models. While recognising its merits, standard endpoints ignore the process of toxicity with time, and consequently our ability to predict direct toxic effects in environmental risk assessments is seriously curtailed. Although the response of toxicants with time has been studied before, its application in ecotoxicology remains underutilised. One reason is that no convincing mechanism has been proposed to explain the hyperbolic curves of such responses, whereas a variety of models have been used to describe them. The explanation of both time- and dose-dependent responses is found ultimately in the natural variability of receptor sites among individuals of populations exposed to a toxicant inhibitor with time. The process can be explained by the kinetics of inhibition, and is appropriately described by a simple mathematical expression like the Michaelis-Menten equation, though other asymptotic models (e.g. logistic model) can also be used. The advantage of the hyperbolic model is that median effect values (e.g. LC(50) for dose- and ET(50) for time-dependent responses) enable calculation of toxicity effects at any concentration level and/or time of exposure, thus making it especially attractive for risk assessment.
目前,生态毒理学的基础在于生物体对毒物的剂量反应,通常用概率单位和逻辑模型来描述。在认识到其优点的同时,标准终点忽略了毒性随时间变化的过程,因此我们在环境风险评估中预测直接毒性效应的能力受到严重限制。尽管之前已经研究了毒物随时间的反应,但其在生态毒理学中的应用仍未得到充分利用。一个原因是,尚未提出令人信服的机制来解释此类反应的双曲线,而人们已经使用了多种模型来描述它们。对时间和剂量依赖性反应的解释最终在于暴露于毒物抑制剂的群体中个体间受体位点的自然变异性随时间的变化。这个过程可以用抑制动力学来解释,用像米氏方程这样的简单数学表达式来恰当描述,不过也可以使用其他渐近模型(如逻辑模型)。双曲线模型的优点是,中位效应值(如剂量依赖性反应的LC(50)和时间依赖性反应的ET(50))能够计算任何浓度水平和/或暴露时间的毒性效应,因此使其在风险评估中特别有吸引力。