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六种药物对费氏弧菌、大型溞和浮萍的混合物毒性。

Mixture toxicity of six pharmaceuticals towards Aliivibrio fischeri, Daphnia magna, and Lemna minor.

机构信息

Department of Environmental Analysis, Faculty of Chemistry, University of Gdańsk, ul. Wita Stwosza 63, 80-308, Gdańsk, Poland.

Institute of Water Chemistry, Technische Universität Dresden, 01062, Dresden, Germany.

出版信息

Environ Sci Pollut Res Int. 2022 Apr;29(18):26977-26991. doi: 10.1007/s11356-021-17928-y. Epub 2021 Dec 14.

Abstract

As the knowledge on the joint effects of pharmaceuticals towards different non-target organisms is still limited, the aim of our study was to evaluate the toxicity of mixtures of pharmaceuticals, as well as their baseline toxicity towards three selected organisms, namely the bioluminescent bacteria Aliivibrio fischeri, the crustacean Daphnia magna, and the duckweed Lemna minor. Different mixtures composed of three up to five pharmaceuticals having the same or different mechanisms of action in terms of their therapeutic activity (non-steroidal anti-inflammatory drugs, opioid analgesic, antibacterial and anti-epileptic drugs) were investigated. The observed ECs were compared with those predicted using the concentration addition (CA) and independent action (IA) models. In general, the EC values for mixtures predicted with the CA model were lower than those obtained with the IA model, although, in some cases, test predictions of these two models were almost identical. Most of the experimentally determined EC values for the specific mixtures were slightly higher than those predicted with the CA model; hence, a less than additive effect was noted. Based on the obtained results, it might be concluded that the CA model assumes the worst-case scenario and gives overall closer predictions; therefore, it should be recommended also for modeling the mixture toxicity of pharmaceuticals with different modes of action.

摘要

由于关于药物对不同非靶标生物的联合效应的知识仍然有限,我们的研究旨在评估药物混合物的毒性,以及它们对三种选定生物的基线毒性,即生物发光细菌 Aliivibrio fischeri、甲壳类动物 Daphnia magna 和浮萍 Lemna minor。研究了由三种至五种具有相同或不同治疗活性作用机制(非甾体抗炎药、阿片类镇痛药、抗菌药和抗癫痫药)的药物组成的不同混合物。将观察到的 EC 值与使用浓度加和 (CA) 和独立作用 (IA) 模型预测的值进行了比较。一般来说,CA 模型预测的混合物 EC 值低于 IA 模型预测的值,尽管在某些情况下,这两种模型的测试预测几乎相同。大多数特定混合物的实验确定 EC 值略高于 CA 模型预测的值;因此,观察到非加性效应。根据获得的结果,可以得出结论,CA 模型假设最坏情况,并给出更接近的总体预测;因此,也应该推荐用于具有不同作用模式的药物混合物毒性的建模。

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