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河川生物膜对钴暴露的元代谢组学响应,以及利用剂量-反应模型趋势作为效应指示物。

Meta-metabolomic responses of river biofilms to cobalt exposure and use of dose-response model trends as an indicator of effects.

机构信息

Universite de Pau et des Pays de l'Adour, E2S-UPPA, CNRS, IPREM, Pau, France.

UMR 7245 CNRS/MNHN " Molécules de Communication et Adaptations des Micro-organismes ", Muséum National d'Histoire Naturelle, Paris, France.

出版信息

J Hazard Mater. 2024 May 15;470:134099. doi: 10.1016/j.jhazmat.2024.134099. Epub 2024 Mar 20.

DOI:10.1016/j.jhazmat.2024.134099
PMID:38547754
Abstract

The response of the meta-metabolome is rarely used to characterize the effects of contaminants on a whole community. Here, the meta-metabolomic fingerprints of biofilms were examined after 1, 3 and 7 days of exposure to five concentrations of cobalt (from background concentration to 1 × 10 M) in aquatic microcosms. The untargeted metabolomic data were processed using the DRomics tool to build dose-response models and to calculate benchmark-doses. This approach made it possible to use 100% of the chemical signal instead of being limited to the very few annotated metabolites (7%). These benchmark-doses were further aggregated into an empirical cumulative density function. A trend analysis of the untargeted meta-metabolomic feature dose-response curves after 7 days of exposure suggested the presence of a concentration range inducing defense responses between 1.7 × 10 and 2.7 × 10 M, and of a concentration range inducing damage responses from 2.7 × 10 M and above. This distinction was in good agreement with changes in the other biological parameters studied (biomass and chlorophyll content). This study demonstrated that the molecular defense and damage responses can be related to contaminant concentrations and represents a promising approach for environmental risk assessment of metals.

摘要

元代谢组学的反应很少被用于描述污染物对整个群落的影响。在这里,在水生微宇宙中,研究了生物膜在暴露于 5 种钴浓度(从背景浓度到 1×10 M)下 1、3 和 7 天后的元代谢组指纹图谱。使用 DRomics 工具处理非靶向代谢组学数据,以构建剂量-反应模型并计算基准剂量。这种方法可以使用 100%的化学信号,而不是仅限于非常少数的注释代谢物(7%)。这些基准剂量进一步被聚合到经验累积密度函数中。暴露 7 天后非靶向元代谢组特征剂量-反应曲线的趋势分析表明,在 1.7×10 和 2.7×10 M 之间存在一个诱导防御反应的浓度范围,在 2.7×10 M 以上存在一个诱导损伤反应的浓度范围。这一区分与所研究的其他生物参数(生物量和叶绿素含量)的变化非常吻合。本研究表明,分子防御和损伤反应可以与污染物浓度相关,这代表了一种有前途的金属环境风险评估方法。

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