Characterization of endocrine disruptors from a complex matrix using estrogen receptor affinity columns and high performance liquid chromatography–high resolution mass spectrometry
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- 作者：Adeline Jondeau-Cabaton (1)
Amélie Soucasse (1)
Emilien L. Jamin (2)
Nicolas Creusot (3) (4)
Marina Grimaldi (5)
Isabelle Jouanin (2)
Sélim A?t-A?ssa (3)
Patrick Balaguer (5)
Laurent Debrauwer (2)
Daniel Zalko (1) - 关键词：Environmental pollutants ; Fresh water sediment ; Nuclear receptor ; Endocrine disruptor
- 刊名：Environmental Science and Pollution Research
- 出版年：2013
- 出版时间：May 2013
- 年：2013
- 卷：20
- 期：5
- 页码：2705-2720
- 全文大小：635KB
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Amélie Soucasse (1)
Emilien L. Jamin (2)
Nicolas Creusot (3) (4)
Marina Grimaldi (5)
Isabelle Jouanin (2)
Sélim A?t-A?ssa (3)
Patrick Balaguer (5)
Laurent Debrauwer (2)
Daniel Zalko (1)
1. INRA, UMR 1331 TOXALIM (Research Center in Food Toxicology), Xenobiotic Metabolism Team (MeX), 180 Chemin de Tournefeuille, 31027, Toulouse, France
2. INRA, UMR 1331 TOXALIM (Research Center in Food Toxicology), MetaToul-AXIOM, 180 Chemin de Tournefeuille, 31027, Toulouse, France
3. INERIS, Unité Ecotoxicologie in vitro et in vivo, Parc ALATA, BP2, 60550, Verneuil-en-Halatte, France
4. EPOC/LPTC-UMR 5255 CNRS Université Bordeaux 1, 33405, Talence, France
5. Plateforme CMT-Equipe Signalisation Hormonale, Environnement et Cancer IRCM, Institut de Recherche en Cancérologie de Montpellier INSERM U896-UM1-CRLC Val d’Aurelle, Parc Euromédecine, 34298, Montpellier Cedex 5, France - ISSN：1614-7499
文摘
Complex mixtures of contaminants with potential adverse effects on human health and wildlife are found in the environment and in the food chain. These mixtures include numerous anthropogenic compounds of various origins and structures, which may behave as endocrine disruptors. Mixture’s complexity is further enhanced by biotic and abiotic transformations. It is therefore necessary to develop new strategies allowing the identification of the structure of known, as well as unknown, nuclear receptor (NR) ligands present in complex matrices. We explored the possibility to use NR-based affinity columns to characterize the presence of bioactive molecules in environmental complex mixtures. Estrogen receptor α (ERα)-based affinity columns were used to trap and purify estrogenic substances present in surface sediment samples collected in a French river under mixed anthropogenic pressure. We combined biological, biochemical and analytical approaches to characterize the structure of ligands retained on columns and demonstrate the presence of known active molecules such as bisphenol A and octylphenol, but also of unexpected ERα ligands (n-butylparaben, hydroxyl-methyl-benzofuranone). High resolution mass spectrometry results demonstrate that ERα affinity columns can be used for the isolation, purification and identification of known as well as unknown estrogenic contaminants present in complex matrices.