利用仿生色谱法预测药物化合物的急性水生毒性

Chrysanthos Stergiopoulos, Fotios Tsopelas, K. Valko, M. Ochsenkühn-Petropoulou
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引用次数: 6

摘要

摘要研究了仿生色谱法预测药物生态毒理学终点的潜力。为此,使用了36种结构不同药物的先前和新测量的色谱保留数据集。测定固定人工膜、人血清白蛋白和α -1-酸性糖蛋白固定相的标准保留时间。以2天静态法测定的鱼的半最大致死浓度值和水蚤的半最大有效浓度(固定)值作为生态毒理学终点。生态毒性值与辛醇-水分配有关,化合物的正电荷对毒性的贡献更大。基于膜划分的模型表现出最好的统计和预测性能,归因于亲脂性和膜静电相互作用。α -1-酸性糖蛋白结合导致了令人满意的模型,由于其作为中性和碱性亲脂化合物的结合剂的功能。然而,白蛋白结合并没有产生良好的模型,因为它是由亲脂性和化合物的负电荷控制的,与毒性机制相反。膜和α -1-酸性糖蛋白模型在统计学上优于辛醇-水体系模型。综上所述,膜和α -1-酸性糖蛋白保留可作为评价药物生态毒理学风险的指标。图形抽象
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The use of biomimetic chromatography to predict acute aquatic toxicity of pharmaceutical compounds
Abstract The potential of biomimetic chromatography to predict ecotoxicological endpoints of pharmaceutical compounds was investigated. For this purpose, a data set of previously and newly measured chromatographic retention data for 36 structurally diverse drugs was used. Standardized retention times were measured on the immobilized artificial membrane, human serum albumin, and alpha-1-acid glycoprotein stationary phases. As ecotoxicological endpoints, half-maximal lethal concentration values of fish and half-maximal effective concentration (immobilization) values of a water flea (Daphnia magna spp.) determined with a two-day static method were considered. Ecotoxicity values correlated with octanol-water partitioning and the positive charge of compounds contributed even more to the toxicity. Models based on membrane partition exhibited the best statistics and predictive performance, attributed to lipophilicity and membrane electrostatic interactions. Alpha-1-acid glycoprotein binding led to satisfactory models, owing to its function as a binder of neutral and basic lipophilic compounds. Albumin binding, however, did not result in sound models, as it is governed by lipophilicity and the negative charge of compounds, contrary to the mechanism of toxicity. Both membrane and alpha-1-acid glycoprotein models were superior statistically from those derived from the octanol-water system. Overall, membrane and alpha-1-acid glycoprotein retention can be suggested as promising indices to assess the ecotoxicological risk of drugs. Graphical Abstract
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