Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5131189 | Analytica Chimica Acta | 2017 | 11 Pages |
â¢A non-targeted LC-MS based workflow for the unbiased exploration of the urinary steroidal profile is presented.â¢It detects up to 3000 metabolites including steroids of clinical and forensic relevance as glucurono- and sulfo-conjugates.â¢The non-targeted exploration of urines after testosterone gel use reveals novel metabolites correlating with the intake.
The urinary steroidal fraction has been extensively explored as non-invasive alternative to monitor pathological conditions as well as to unveil the illicit intake of pseudo-endogenous anabolic steroids in sport. However, the majority of previous approaches involved the a priori selection of potentially relevant target analytes. Here we describe the non-targeted analysis of the urinary steroidal profiles. The workflow includes minimal sample pretreatment and normalization according to the specific gravity of urine, a 20Â min reverse phase ultra-performance liquid chromatographic separation hyphenated to electrospray time-of-flight mass spectrometry. As initial validation, we analyzed a set of quality control urines spiked with glucurono- and sulfo-conjugated steroids at physiological ranges. We then applied the method for the analysis of samples collected after single transdermal administration of testosterone in hypogonadal men. The method allowed profiling of approximately three thousand metabolic features, including steroids of clinical and forensic relevance. It successfully identified metabolic pathways mostly responsible for groups clustering even in the context of high inter-individual variability and allowed the detection of currently unknown metabolic features correlating with testosterone administration. These outcomes set the stage for future studies aimed at implementing currently monitored urinary steroidal markers both in clinical and forensic analysis.
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