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Metabolomics identifies a biological response to chronic low-dose natural uranium contamination in urine samples
Authors:Stéphane Grison  Gaëlle Favé  Matthieu Maillot  Line Manens  Olivia Delissen  Eric Blanchardon  Nathalie Banzet  Catherine Defoort  Romain Bott  Isabelle Dublineau  Jocelyne Aigueperse  Patrick Gourmelon  Jean-Charles Martin  Maâmar Souidi
Affiliation:1. Institut de Radioprotection et de S?reté Nucléaire (IRSN), PRP-HOM, SRBE, LRTOX, Fontanay-aux-Roses, France
4. Aix Marseille Université, NORT, 13005, Marseille, France
5. Inserm, UMR_S 1062, 13005, Marseille, France
6. Inra, UMR_INRA 1260, 13005, Marseille, France
2. Institut de Radioprotection et de S?reté Nucléaire (IRSN), PRP-HOM, SDI, LEDI, Fontanay-aux-Roses, France
3. Institut de Radioprotection et de S?reté Nucléaire (IRSN), PRP-HOM, Fontanay-aux-Roses, France
Abstract:Because uranium is a natural element present in the earth’s crust, the population may be chronically exposed to low doses of it through drinking water. Additionally, the military and civil uses of uranium can also lead to environmental dispersion that can result in high or low doses of acute or chronic exposure. Recent experimental data suggest this might lead to relatively innocuous biological reactions. The aim of this study was to assess the biological changes in rats caused by ingestion of natural uranium in drinking water with a mean daily intake of 2.7 mg/kg for 9 months and to identify potential biomarkers related to such a contamination. Subsequently, we observed no pathology and standard clinical tests were unable to distinguish between treated and untreated animals. Conversely, LC–MS metabolomics identified urine as an appropriate biofluid for discriminating the experimental groups. Of the 1,376 features detected in urine, the most discriminant were metabolites involved in tryptophan, nicotinate, and nicotinamide metabolic pathways. In particular, N-methylnicotinamide, which was found at a level seven times higher in untreated than in contaminated rats, had the greatest discriminating power. These novel results establish a proof of principle for using metabolomics to address chronic low-dose uranium contamination. They open interesting perspectives for understanding the underlying biological mechanisms and designing a diagnostic test of exposure.
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