Improved empirical models describing hormesis

Improved empirical models describing hormesis
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DOI:
10.1897/05-014r.1
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发表时间:
2005-12-01
影响因子:
4.1
通讯作者:
Streibig, JC
Streibig, JC
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Cedergreen, N;Ritz, C;Streibig, JC

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在过去的二十年里,毒物兴奋效应的现象得到了越来越多的认识。为了促进毒物兴奋效应的研究,非常需要对重要参数进行合理的统计量化,例如反应增加的水平和意义以及发生反应的浓度范围。在这里,我们提出了一个改进的统计模型来描述兴奋效应的剂量反应曲线和测试的存在。使用delta方法和免费软件,可以导出任何百分比效应剂量或浓度及其相关标准误差。同样,可以提取最大响应并计算生长刺激。新的模型进行了测试,从多物种实验和实验室数据的浮萍的大型植物数据。在所测试的51条曲线中,有18条曲线检测到显著的兴奋效应,另外17条曲线的兴奋效应模型比逻辑斯蒂模型更好地描述了数据。反应的增加范围为5%至109%。生长刺激发生在0和相当于中位有效浓度(EC 50)约20 - 25%的浓度之间的平均剂量下。用Brain和Cousens在1989年提出的毒物兴奋效应模型检验相同的数据,我们没有发现显著的毒物兴奋效应。因此,新的模型被证明是更强大的比以前的模型,无论是在数据的变化和描述的兴奋效应,从小的影响增加10%的反应,几乎增加100%的反应。
During the past two decades, the phenomenon of hormesis has gained increased recognition. To promote research in hormesis, a sound statistical quantification of important parameters, such as the level and significance of the increase in response and the range of concentration where it occurs, is strongly needed. Here, we present an improved statistical model to describe hormetic dose-response curves and test for the presence of hormesis. Using the delta method and freely available software, any percentage effect dose or concentration can be derived with its associated standard errors. Likewise, the maximal response can be extracted and the growth stimulation calculated. The new model was tested on macrophyte data from multiple-species experiments and on laboratory data of Lemna minor. For the 51 curves tested, significant hormesis was detected in 18 curves, and for another 17 curves, the hormesis model described that data better than the logistic model did. The increase in response ranged from 5 to 109%. The growth stimulation occurred at an average dose somewhere between zero and concentrations corresponding to approximately 20 to 25% of the median effective concentration (EC50). Testing the same data with the hormesis model proposed by Brain and Cousens in 1989, we found no significant hormesis. Consequently, the new model is shown to be far more robust than previous models, both in terms of variation in data and in terms of describing hormetic effects ranging from small effects of a 10% increase in response up to effects of an almost 100% increase in response.