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H-1 NMR-based metabolomics of Daphnia magna responses after sub-lethal exposure to triclosan, carbamazepine and ibuprofen

机译:亚致命暴露于三氯生,卡马西平和布洛芬后,基于水蚤的H-1 NMR代谢组学

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Pharmaceuticals and personal care products are a class of emerging contaminants that are present in wastewater effluents, surface water, and groundwater around the world. There is a need to determine rapid and reliable bioindicators of exposure and the toxic mode of action of these contaminants to aquatic organisms. H-1 nuclear magnetic resonance (NMR)-based metabolomics in combination with multivariate statistical analysis was used to determine the metabolic profile of Daphnia magna after exposure to a range of sub-lethal concentrations of triclosan (6.25-100 mu g/L), carbamazepine (1.75-14 mg/L) and ibuprofen (1.75-14 mg/L) for 48 h. Sub-lethal triclosan exposure suggested a general oxidative stress condition and the branched-chain amino acids, glutamine, glutamate, and methionine emerged as potential bioindicators. The aromatic amino acids, serine, glycine and alanine are potential bioindicators for sub-lethal carbamazepine exposure that may have altered energy metabolism. The potential bioindicators for sub-lethal ibuprofen exposure are serine, methionine, lysine, arginine and leucine, which showed a concentration-dependent response. The differences in the metabolic changes were related to the dissimilar modes of toxicity of triclosan, carbamazepine and ibuprofen. H-1 NMR-based metabolomics gave an improved understanding of how these emerging contaminants impact the keystone species D. magna. (C) 2016 Elsevier Inc. All rights reserved.
机译:药品和个人护理产品是一类新兴污染物,它们存在于世界各地的废水,地表水和地下水中。需要确定暴露的快速和可靠的生物指示剂以及这些污染物对水生生物的毒性作用方式。基于H-1核磁共振(NMR)的代谢组学与多变量统计分析一起用于确定水蚤在暴露于一系列亚致死浓度的三氯生(6.25-100μg / L)后的代谢谱,卡马西平(1.75-14 mg / L)和布洛芬(1.75-14 mg / L)持续48小时。亚致命的三氯生暴露表明存在一般的氧化应激条件,支链氨基酸,谷氨酰胺,谷氨酸和蛋氨酸成为潜在的生物指示剂。芳香族氨基酸,丝氨酸,甘氨酸和丙氨酸是潜在的卡马西平亚致死生物指标,可能会改变能量代谢。亚致死性布洛芬暴露的潜在生物指标是丝氨酸,蛋氨酸,赖氨酸,精氨酸和亮氨酸,它们显示出浓度依赖性反应。代谢变化的差异与三氯生,卡马西平和布洛芬的不同毒性模式有关。基于H-1 NMR的代谢组学使人们对这些新兴污染物如何影响基石种D. magna有了更好的了解。 (C)2016 Elsevier Inc.保留所有权利。

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