Title of article :
Evaluation of plasma enzyme activities using gas chromatography–mass spectrometry based steroid signatures
Author/Authors :
Ha، نويسنده , , Young Wan and Moon، نويسنده , , Ju-Yeon and Jung، نويسنده , , Hyun-Jin and Chung، نويسنده , , Bong Chul and Choi، نويسنده , , Man Ho، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
8
From page :
4125
To page :
4132
Abstract :
The simultaneous quantification of 65 plasma steroids, including 22 androgens, 15 estrogens, 15 corticoids and 13 progestins, was developed using gas chromatography-mass spectrometry (GC–MS). The extraction efficiency of the catechol estrogens was improved by the addition of l-ascorbic acid in several steps. All steroids, as their trimethylsilyl derivatives, were well separated with good peak shapes within a 50 min run. The devised method provided good linearity (correlation coefficient, r2 > 0.993), while the limit of quantification ranged from 0.2 to 2.0 ng mL−1. The precision (% CV) and accuracy (% bias) were 2.0–12.4% and 93.5–109.2%, respectively. The metabolic changes were evaluated by applying this method to plasma samples obtained from 26 healthy male subjects grouped according to the pre- and post-administration of dutasteride, which inhibits 5α-reductase isoenzyme types 1 and 2. The levels of three plasma steroids, such as dihydrotestosterone, 5α-androstanedione and allotetrahydrocortisol, were decreased significantly after drug administration, while the levels of testosterone and 5β-androstane-3β,17α-diol were increased. In addition, the ratios of the steroid precursors and their metabolites, which represent the activities of the related enzymes, were z-score transformed for visualization in heat maps generated using supervised hierarchical clustering analysis. These results validated the data transformation because 5α-reductase is an indicator for the biological actions of dutasteride. GC–MS base quantitative visualization might be found in the integration with the mining biomarkers in drug evaluations and hormone-dependent diseases.
Keywords :
Metabolite profiling , PLASMA , Enzyme activity , GC–MS , Steroid
Journal title :
Journal of Chromatography B
Serial Year :
2009
Journal title :
Journal of Chromatography B
Record number :
1467963
Link To Document :
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