Detection of urinary arimistane metabolites in humans using liquid chromatography–mass spectrometry: Complementary results to gas chromatography mass spectrometric data and its application to antidoping analyses
Bibliographic record
Abstract
RATIONALE: The metabolism of arimistane (Arim) was first described in 2015, and androst-3,5-diene-7β-ol-17-one was proposed as the main metabolite excreted in urine. Recently, a more detailed study describing the findings in urine after the administration of Arim has been published. This study corroborated the previously described metabolite but also described several phase I and II metabolites, analyzing trimethylsilylated urinary extracts using accurate mass spectrometry coupled to gas chromatography (GC/qTOF). The present communication is an extension of this late investigation aiming to implement the results of Arim metabolism using either accurate mass spectrometry and/or triple quadrupole tandem mass spectrometry, both coupled to liquid chromatography (LC/qTOF and LC/QqQ). METHODS: The samples used in this study were the same as previously studied using GC/qTOF. One single oral dose of Arim was administered to three volunteers, and samples collected before and up to 10 h after the Arim administration were analyzed. The unconjugated fraction of urine was removed, and the hydrolysis was performed with β-glucuronidase from Escherichia coli. The extracts were reconstituted in water:acetonitrile before the LC/qTOF and LC/QqQ analysis. RESULTS: The presence of the proposed metabolites studied using GC was verified by accurate mass measurements. Twelve metabolites not found in the blank urine samples were identified by the accurate mass spectra with acceptable errors between -7.5 and 8.1 ppm: 4 reduced metabolites, 4 monohydroxylated metabolites, and 4 with an additional hydroxylation (bis-hydroxylated metabolites). Unlike in the study carried out using GC/qTOF, Arim itself was found in the samples of the three volunteers. CONCLUSIONS: Twelve metabolites were identified, and specific transitions were proposed. Despite the good results, some limitations remain. As for GC/qTOF, the α- or β configuration of hydroxy groups, as well as the exact position for some unsaturation, cannot be assigned with certainty. Because certified reference materials of these metabolites are not yet available, the molecular structures were hypothesized considering the previous study using GC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".