Untargeted profiling of urinary steroid metabolites after testosterone ingestion: opening new perspectives for antidoping testing.
Details
Serval ID
serval:BIB_2B44DB382204
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Untargeted profiling of urinary steroid metabolites after testosterone ingestion: opening new perspectives for antidoping testing.
Journal
Bioanalysis
ISSN
1757-6199 (Electronic)
ISSN-L
1757-6180
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
6
Number
19
Pages
2523-2536
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Abstract
AIM: Antidoping procedures are expected to greatly benefit from untargeted metabolomic approaches through the discovery of new biomarkers of prohibited substances abuse.
RESULTS: Endogenous steroid metabolites were monitored in urine samples from a controlled elimination study of testosterone undecanoate after ingestion. A platform coupling ultra-high pressure LC with high-resolution quadrupole TOF MS was used and high between-subject metabolic variability was successfully handled using a multiblock data analysis strategy. Links between specific subsets of metabolites and influential genetic polymorphisms of the UGT2B17 enzyme were highlighted.
CONCLUSION: This exploratory metabolomic strategy constitutes a first step toward a better understanding of the underlying patterns driving the high interindividual variability of steroid metabolism. Promising biomarkers were selected for further targeted study.
RESULTS: Endogenous steroid metabolites were monitored in urine samples from a controlled elimination study of testosterone undecanoate after ingestion. A platform coupling ultra-high pressure LC with high-resolution quadrupole TOF MS was used and high between-subject metabolic variability was successfully handled using a multiblock data analysis strategy. Links between specific subsets of metabolites and influential genetic polymorphisms of the UGT2B17 enzyme were highlighted.
CONCLUSION: This exploratory metabolomic strategy constitutes a first step toward a better understanding of the underlying patterns driving the high interindividual variability of steroid metabolism. Promising biomarkers were selected for further targeted study.
Pubmed
Web of science
Create date
27/11/2014 10:04
Last modification date
20/08/2019 13:10