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Urinary signature of anabolic steroids and glucocorticoids in humans by LC-MS

Authors :
Marie-Magdeleine Flament-Waton
Jacques de Ceaurriz
Olivier Paisse
Pierre Lanteri
Anne-Laure Jacquet
Claire Bordes
Cécile Cren-Olivé
Jean-Yves Gauvrit
Agnèta Kiss
TRACES - Technologie et Recherche en Analyse Chimique pour l'Environnement et la Santé
Institut des Sciences Analytiques (ISA)
Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Agence française de lutte contre le dopage (AFLD)
Agence française de lutte contre le dopage
CHEMOD - CHEmometry et MODélisation moléculaire (2011-2014)
Région Rhône-Alpes, programme cible
METASIBIO
Source :
Talanta, Talanta, Elsevier, 2011, 83 (5), pp.1769-1773. ⟨10.1016/j.talanta.2010.10.030⟩
Publication Year :
2010

Abstract

International audience; A metabonomic strategy based on LC-MS was employed to investigate the metabolic profile of urine samples from 20 athletes who had been tested positive for corticoids and anabolic steroids and 29 controls. In this aim, different sample preparations and chromatographic conditions were compared. The acquired LC-MS data of doped athletes and controls were subjected to analysis of variance (ANOVA) and principal component analysis (PCA). Using this approach, molecular signature of human urine was obtained showing that metabonomics could be a complementary tool to discriminate different urinary profiles and to track down metabolic changes in humans.

Details

ISSN :
18733573 and 00399140
Volume :
83
Issue :
5
Database :
OpenAIRE
Journal :
Talanta
Accession number :
edsair.doi.dedup.....cd14f1a7cfece4483b7ec2480bf0bc7f