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hormetic剂量区和毒效的统计建模完成了hormetic剂量反应的定量描述。

Statistical modeling of the hormetic dose zone and the toxic potency completes the quantitative description of hormetic dose responses.

作者信息

Belz Regina G, Piepho Hans-Peter

机构信息

Agroecology Unit, Institute of Plant Production and Agroecology in the Tropics and Subtropics, University of Hohenheim, Stuttgart, Germany.

出版信息

Environ Toxicol Chem. 2015 May;34(5):1169-77. doi: 10.1002/etc.2857. Epub 2015 Apr 7.

Abstract

Quantifying the characteristics of hormesis provides valuable insights into this low-dose phenomenon and helps to display and capture its variability. A prerequisite to do so is a statistical procedure allowing quantification of general hormetic features, namely the maximum stimulatory response, the dose range of hormesis, and the distance from the maximum stimulation to the dose where hormesis disappears. Applying extensions of a hormetic dose-response model that is well-established in plant biology provides a direct estimation of several quantities, except the hormetic dose range. Another dose range that is difficult to model directly is the distance between the dose where hormesis disappears and the dose giving 50% inhibition, known as toxic potency. The present study presents 2 further model extensions allowing for a direct quantification of the hormetic dose range and the toxic potency. Based on this, a 4-step mathematical modeling approach is demonstrated to quantify various dose-response quantities, to compare these quantities among treatments, and to interrelate hormesis features. Practical challenges are exemplified, and possible remedies are identified. The software code to perform the analysis is provided as Supplemental Data to simplify adoption of the modeling procedure. Because numerous patterns of hormesis are observed in various sciences, it is clear that the proposed approach cannot cope with all patterns; however, it should be possible to analyze a great range of hormesis patterns.

摘要

量化兴奋效应的特征有助于深入了解这种低剂量现象,并有助于展现和捕捉其变异性。这样做的一个前提是要有一种统计程序,能够对一般兴奋效应特征进行量化,即最大刺激反应、兴奋效应的剂量范围,以及从最大刺激到兴奋效应消失的剂量之间的距离。应用植物生物学中已确立的兴奋效应剂量反应模型的扩展,可以直接估计几个量,但不包括兴奋效应的剂量范围。另一个难以直接建模的剂量范围是兴奋效应消失的剂量与产生50%抑制作用的剂量之间的距离,即毒性效力。本研究提出了另外两种模型扩展,可直接量化兴奋效应的剂量范围和毒性效力。在此基础上,展示了一种四步数学建模方法,用于量化各种剂量反应量、比较不同处理之间的这些量,并关联兴奋效应特征。文中举例说明了实际挑战,并确定了可能的补救措施。进行分析的软件代码作为补充数据提供,以简化建模程序的采用。由于在各种科学领域中都观察到了大量兴奋效应模式,显然所提出的方法无法应对所有模式;然而,应该能够分析很大范围的兴奋效应模式。

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