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生物配体模型在预测金属混合物毒性效应方面的应用。

An application of the biotic ligand model to predict the toxic effects of metal mixtures.

作者信息

Kamo Masashi, Nagai Takashi

机构信息

Advanced Industrial Science and Technology Research Center for Chemical Risk Management, Onogawa 16-1, Tsukuba, Ibaraki 305-8569, Japan.

出版信息

Environ Toxicol Chem. 2008 Jul;27(7):1479-87. doi: 10.1897/07-425.

Abstract

The rapidly developing biotic ligand model (BLM) allows us to predict the toxicity of heavy metals in water of various chemistries; however, the current BLM predicts the toxicity of a single metal and not the toxic effects of metal mixtures. The toxic mechanisms of heavy metals are not yet completely understood, but hypocalcemia is suggested to be the most likely toxic mechanism for some metals. The BLM, which predicts the toxicity of metals by the amount of metals binding to ligand, is modified to predict the toxicity by the proportion of nonmetal binding ligand that is available for calcium uptake under the assumption that the organisms die because of hypocalcemia when so few ligands are available for calcium uptake. Because the proportion can be computed when multiple metals are present, the toxic effects of metal mixtures can be predicted. Zinc, copper, and cadmium toxicity to rainbow trout (Oncorhynchus mykiss) are considered. All data are collected from the literature, and a meta-analysis using the modified version of the BLM is conducted. The present study found that the proportion of nonmetal binding ligand is a constant value for any test condition. The proportion is not influenced by water chemistry or by metal species. Using the nature of constant proportion, toxicities of metals are well estimated. In addition, the toxic effects of metal mixtures are the simple sum of the toxicities of each metal (additive effect) corresponding to the bioavailable form of the metals. In terms of total concentration of metals in water, however, nonadditive effects, such as antagonism and synergism, are possible.

摘要

快速发展的生物配体模型(BLM)使我们能够预测不同化学组成水体中重金属的毒性;然而,当前的BLM只能预测单一金属的毒性,无法预测金属混合物的毒性效应。重金属的毒性机制尚未完全明确,但低钙血症被认为是某些金属最可能的毒性机制。BLM通过与配体结合的金属量来预测金属的毒性,在此基础上进行了改进,即在假设生物体因低钙血症死亡是由于可供钙摄取的配体过少的情况下,通过可供钙摄取的非金属结合配体的比例来预测毒性。由于当多种金属存在时该比例可以计算,因此可以预测金属混合物的毒性效应。研究考虑了锌、铜和镉对虹鳟(Oncorhynchus mykiss)的毒性。所有数据均从文献中收集,并使用改进后的BLM进行了荟萃分析。本研究发现,在任何测试条件下,非金属结合配体的比例都是一个恒定值。该比例不受水化学性质或金属种类的影响。利用恒定比例的特性,可以很好地估算金属的毒性。此外,金属混合物的毒性效应是每种金属(对应于金属的生物可利用形式)毒性的简单总和(相加效应)。然而,就水中金属的总浓度而言,可能存在非相加效应,如拮抗作用和协同作用。

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