Urinary signature of anabolic steroids and glucocorticoids in humans by LC-MS.
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.
Service Central d'Analyse (SCA), USR 59 CNRS, Chemin du Canal, Echangeur de Solaize, Solaize, France.
Agneta
A
Kiss
Anne-Laure
AL
Jacquet
Olivier
O
Paisse
Marie-Magdeleine
MM
Flament-Waton
Jacques
J
de Ceaurriz
Claire
C
Bordes
Jean-Yves
JY
Gauvrit
Pierre
P
Lantéri
Cécile
C
Cren-Olivé
D045930:Anabolic Agents / Q000652:urine*; D002853:Chromatography, Liquid / Q000379:methods; D005938:Glucocorticoids / Q000652:urine*; D006801:Humans; D055432:Metabolomics; D013256:Steroids / Q000652:urine*; D053719:Tandem Mass Spectrometry / Q000379:methods
D045930:Anabolic Agents; D005938:Glucocorticoids; D013256:Steroids