Daphnia magna and mixture toxicity with nanomaterials - Current status and perspectives in data-driven risk prediction
Daphnia magna and mixture toxicity with nanomaterials - Current status and perspectives in data-driven risk prediction
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DOI：
10.1016/j.nantod.2022.101430
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发表时间：
2022-02-18
期刊：
影响因子：
17.4
通讯作者：
Lynch, Iseult
中科院分区：
文献类型：
--
作者：
Martinez, Diego Stefani T.;Ellis, Laura-Jayne A.;Lynch, Iseult
水生生态系统是大多数工业残留物和农用化学品的最终目的地，导致生物体暴露在复杂的污染物混合物中。纳米材料(NMS)在许多技术和工业部门的应用越来越广泛，因此人们越来越关注纳米材料与共生污染物相互作用后对环境的负面影响。因此，近年来，混合物毒理学在纳米毒理学领域得到了越来越多的关注。通常，混合毒性或联合毒性是通过浓度加成(CA)或独立作用(IA)的数学模型从化学物质的单独作用中估计出来的，但这些模型没有考虑化学物质之间的代谢相互作用，因为它们作用于相关的代谢途径和分子靶标。由于NMS独特的物理化学性质使其具有高活性和高比表面积的吸附，这些模型可能无法真实地估计含有NMS的混合物的毒理效应。NMS与其他环境污染物(如有机污染物和重金属)的共同暴露可能会引起不同的混合效应，如相加、协同、拮抗，甚至其他复杂的反应，包括毒物动力学/毒物动力学的改变，这取决于单个组分的性质、环境暴露条件和生物系统。因此，可能影响NM和污染物混合物毒性的大量因素使得NMS混合物的风险评估成为一项复杂的任务。大型水蚤是纳米毒理学中最常用的模式物种之一，包括在混合物研究中。它的优势包括世代时间短，体型小，能够迅速产生大量种群，再加上其完整的基因组图谱，允许使用多种组学技术来了解甲虫对NMS和化学物质的应激反应。在这里，我们以水蚤为模式生物，分析了NMS和污染物混合物的毒理学效应，并讨论了NMS混合物风险评估的未来前景，重点是方法的协调和数据驱动科学在混合物生态毒理学中的应用。(C)2022年提交人(S)。爱思唯尔有限公司出版。
The aquatic ecosystem is the final destination of most industrial residues and agrochemicals resulting in organisms being exposed to a complex mixture of contaminants. Nanomaterials (NMs) are being increasingly applied in many technologies and industrial sectors, so there is an increasing concern about the negative impacts of NMs in the environment after their interaction with co-contaminants. Consequently, mixture toxicology has been gaining attention in nanotoxicology recently. Usually, mixture toxicity or combined toxicity is estimated from the individual effects of the chemicals using the mathematical models of concentration addition (CA) or independent action (IA), however these models do not account for metabolic interactions between the chemicals, when they act in related metabolic pathways and molecular targets. As NMs unique physico-chemical properties make them highly reactive with a high surface area for adsorption, those models may not realistically estimate the toxicological effects of mixtures containing NMs. The co-exposition of NMs and other environmental contaminants (e.g., organic pollutants and heavy metals) may cause different mixture effects such as addition, synergism, antagonism, or even other complicated responses, including altered toxicokinetics/toxicodynamics, which vary according to the individual components properties, environmental exposure conditions, and the biological system. Therefore, the large number of factors that may influence the toxicity of a NM and contaminant mixture makes NMs mixture risk assessment a complex task. Daphnia magna are one of the most commonly used model species in nanotoxicology, including in mixture studies. It's advantages include short generation time, small body sizes, ability to produce large populations rapidly, coupled with its completely mapped genome which allows the use of a multitude of omics techniques to understand the stress responses of daphnids to NMs and chemicals. Here, we analyse the toxicological effects of NMs and contaminant mixtures using Daphnia as a model organism, and discuss future perspectives for NMs-mixtures risk assessment focusing on harmonization of methodologies and application of data-driven science in mixture ecotoxicology. (C) 2022 The Author(s). Published by Elsevier Ltd.