Document Detail


Characterization of endocrine disruptors from a complex matrix using estrogen receptor affinity columns and high performance liquid chromatography-high resolution mass spectrometry.
MedLine Citation:
PMID:  23314706     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Adeline Jondeau-Cabaton; Amélie Soucasse; Emilien L Jamin; Nicolas Creusot; Marina Grimaldi; Isabelle Jouanin; Sélim Aït-Aïssa; Patrick Balaguer; Laurent Debrauwer; Daniel Zalko
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-15
Journal Detail:
Title:  Environmental science and pollution research international     Volume:  -     ISSN:  1614-7499     ISO Abbreviation:  Environ Sci Pollut Res Int     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9441769     Medline TA:  Environ Sci Pollut Res Int     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
INRA, UMR 1331 TOXALIM (Research Center in Food Toxicology), Xenobiotic Metabolism Team (MeX), 180 Chemin de Tournefeuille, 31027, Toulouse, France.
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