New oxymesterone metabolites in human by gas chromatography‐tandem mass spectrometry and their application for doping control
Bibliographic record
Abstract
Oxymesterone (17α-methyl-4, 17β-dihydroxy-androst-4-ene-3-one) is one of the anabolic androgenic steroids (AAS) banned by the World Anti-Doping Agency (WADA). The biotransformation of oxymesterone is performed in vitro by human heptocytes and human urinary metabolic profiles are investigated after single dose of 20 mg to two adult males as well. Cell cultures and urine samples were hydrolyzed by β-glucuronidase, extracted, and reacted with N-Methyl-N-trimethylsilyltrifluoroacetamide (MSTFA), ammonium iodide (NH4 I), and dithioerythritol. After derivatization, a gas chromatography triple quadruple tandem mass spectrometry (GC-MS/MS) using full scan and MS/MS modes was applied. The total ion chromatographs of the blank and the positive samples are compared, and 7 new metabolites were found. In addition to the well-known 17-epioxymesterone, oxymesterone is metabolized by 4-ene-reduction, 3-keto-reduction, 11β-hydroxylation, and 16ξ-hydroxylation. Based on the behavior of the MS/MS results of product ion and precursor ion modes, a GC-MS/MS method has been developed monitoring these metabolites. The structures of metabolite 2 and 4 are tentatively identified as 17α-methyl-3β, 17β-dihydroxy-5α-androstane-4-one and 17α-methyl-3α, 4ξ, 17β-trihydroxy-5α-androstane, respectively. Detection of oxymesterone using new metabolites M2 and M4 can extend the detection window up to 4 days since the parent steroid was not detectable. Copyright © 2015 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".