Hr. Norli et al., CHEMOMETRIC EVALUATION OF URINARY STEROID PROFILES IN DOPING CONTROL, Journal of steroid biochemistry and molecular biology, 54(1-2), 1995, pp. 83-88
Ten endogenous steroid hormones and metabolites were determined accord
ing to the screening procedure for anabolic steroids in spot urine sam
ples from 105 healthy young male athletes (control samples) and 23 mal
es that tested positive for anabolic steroids in the doping control (p
ositive samples). The GC-MS peak areas for each sample were normalized
to total area. Multivariate data analysis by Partial Least Square Reg
ression (PLSR) and using a coded Y-variable (positive samples: +1 and
control samples -1) allows projection of the most systematic profile s
tructures into a 2D plot revealing a clear distinction between the con
trol and misuser groups. The most important determinants of the locati
on in the loading plot were the ratios of testosterone to epitestoster
one and androsterone to etiocholanolone. The ratio between 11-beta-hyd
roxyandrosterone and 11-beta-hydroxyetiocholanolone was less important
, in accordance with the fact that anabolic-androgenic steroid intake
primarily affects the excretion of testosterone from the testis and to
a much lesser degree adrenal steroid genesis. We present a preliminar
y validation of this model (PLS1-DISCRIM) for analysing steroid profil
es in doping control samples from several categories of athletes, some
of which are suspected for drug misuse, and results from a one dose e
xcretion study in healthy volunteers. Our findings suggest that use of
multivariate PLS-regression may give valuable information about anabo
lic androgenic steroid misuse in sport. When appropriately calibrated,
this methodology may delineate drug misusers directly from the screen
ing procedure for anabolic steroids in spot urine tests.