Detection of 5α‐androst‐2‐en‐17‐one and variants: Identification of main urinary metabolites in human urine samples by GC‐MS and NMR
Bibliographic record
Abstract
Two steroids were identified in a supplement named D-2 following the detection of unknown compounds during the routine testing of an athlete's sample. The main glucuroconjugated metabolites were isolated from this urine by high performance liquid chromatography (HPLC) following enzymatic hydrolysis and identified by gas chromatography-mass spectrometry (GC-MS) and nuclear magnetic resonance (NMR) analyses as being 2α-hydroxy-5α-androst-3-en-17-one (M1) and 2β,3α-dihydroxy-5α-androstan-17-one (M2). A third metabolite, 3α,4β-dihydroxy-5α-androstan-17-one (M3) was also detected, however in lower amounts. The precursor steroids, 5α-androst-2-en-17-one (1) and 5α-androst-3-en-17-one (2) were present in the first D-2 products offered on the Internet. Later, the corresponding 17-hydroxyl compounds were offered as such or as esters (acetate, cypionate) in different relative ratios. Both M2 and M3 were synthesized from the trans-diaxial hydrolysis of the corresponding 2α,3α- and 3α,4α-epoxides (3). These were excreted in the hours following the controlled administration of the commercial product called D-2 R to a male volunteer and were also produced from the incubation of 1 and 2 with S9 liver fractions. Some preparations contain predominantly the alkene in C-2 and, therefore, an efficient detection method must include both primary metabolites M1 and M2. The latter was found equally in the fractions extracted following the enzymatic hydrolysis with β-glucuronidase and the chemical solvolysis, which may ease its identification. Copyright © 2016 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".