New insights into binary mixture toxicology: 2. Effects of reactive oxygen species generated by some carboxylic diesters on marine and freshwater organisms (VIII)

IF 3.1 Q2 TOXICOLOGY Computational Toxicology Pub Date : 2023-08-01 DOI:10.1016/j.comtox.2023.100283
Sergiu Adrian Chicu
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引用次数: 0

Abstract

This paper presents the development of toxicity of some saturated and phthalate carboxylic diesters (CDE) quantified by experimentally measured (Mes) and calculated (C) values using the Hydractinia echinata (invertebrate) Toxicity Screening Test System (HeTSTS) and the Köln Model (KM) algorithm. The validity of the investigation model is confirmed by the results for three other aquatic organisms: the ciliate protozoan Tetrahymena pyriformis, the freshwater fish Pimephales promelas and the freshwater crustacean Daphnia magna test systems have shown that the evolution of effectiveness is similar, although the absolute values are different. CDE undergoes rapid, irreversible, selective and abiotic –OH nucleophilic catalyzed monohydrolysis with the formation of the substrate amphiphilic carboxylate monoester (CME), saturated or phthalate and alcohol (AL) as a xenobiotic (SbX) binary mixture in stoichiometric proportion. The Mes represents the inverse of the logarithm of the diester concentration (molL-1), which determines the 50% reduction in metamorphosis of H. echinata from larva to polyp and is influenced by the saturated carbon atom (Cs) of the molecular substructure involved in monohydrolysis. According to the KM algorithm, Cs is the Elementary Specific Interaction Parameter (ESIP) with a specific and constant toxicity value – identical in different substances – depending on the nature of the organism that allows the calculation of toxicity predictions in C. AL is the fingerprint of the mixture (FP) because it influences the diffusion of CMEs through the cell membrane to cellular receptors (CRs). Generally, the Mes and C, are the predicted ECOSAR and calculated C* values form the Class Regulated Increased Toxicity (CRIT) and Class Regulated Decreased Toxicities (CRDT) series. The use of H. echinata in toxicity determinations is an alternative for the study of the relevant ecological impact of chemical oxidative stress on aquatic organisms and, consequently, on human health.

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对二元混合物毒理学的新认识;某些羧基二酯产生的活性氧对海洋和淡水生物的影响(VIII)
本文介绍了利用无脊椎动物水螅虫(Hydractinia echinata)毒性筛选试验系统(HeTSTS)和Köln模型(KM)算法,通过实验测量(Mes)和计算(C)值对某些饱和和邻苯二甲酸酯(CDE)的毒性进行量化的进展。另外三种水生生物的实验结果证实了调查模型的有效性:纤毛虫原生动物四膜虫(Tetrahymena pyriformis)、淡水鱼(Pimephales promelas)和淡水甲壳类水蚤(Daphnia magna)测试系统表明,尽管绝对值不同,但有效性的进化是相似的。CDE经过快速、不可逆、选择性和非生物- oh亲核催化单水解,形成底物两亲性羧酸酯单酯(CME)、饱和或邻苯二甲酸酯和醇(AL)作为异生物(SbX)二元混合物,按化学计量比例。Mes是二酯浓度(mol -1)的对数的倒数,二酯浓度决定了棘刺从幼虫到息肉的蜕变减少50%,并且受单水解分子亚结构的饱和碳原子(Cs)的影响。根据KM算法,Cs是基本特异性相互作用参数(ESIP),具有特定和恒定的毒性值-在不同物质中相同-取决于允许计算c中毒性预测的生物体的性质。AL是混合物的指纹(FP),因为它影响cme通过细胞膜向细胞受体(cr)的扩散。一般来说,Mes和C是预测的ECOSAR值和计算的C*值,来自受管制的毒性增加(CRIT)和受管制的毒性减少(CRDT)系列。在毒性测定中使用棘刺草是研究化学氧化应激对水生生物的相关生态影响,从而对人类健康的一种替代方法。
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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
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