Steroid profile and IRMS analysis of musk administration for doping control
Bibliographic record
Abstract
Musk, the dried secretion of the musk pod (sac) of adult male musk deer, has been used as traditional Chinese Medicine (TCM) in China and south‐east Asian countries for thousands of years. Due to the anabolic steroid component in this TCM, musk preparations have been included in the list of medical products containing prohibited substances employed for doping by the State Food and Drug Administration of China. The application of musk pod formulation was claimed to be responsible for some adverse analytical findings (AAFs) in the 2011 FIFA Women's World Cup. Our preliminary study has suggested that musk ingestion did not lead to AAFs of doping control with the single dosage of 100 mg. However, the influences of musk administration in large and multi dosage are still unclear. The aim of this study is to further investigate the influences of musk administration for doping control. Wild and domestic deer musk samples were collected. The concentrations and δ 13 C‐values of steroids in musk were analyzed. In an excretion study, 200 and 100 mg of wild and domestic deer musk samples were administrated by 29 subjects, respectively. Fluctuations in steroid profile could be observed, and the ratio of 5α‐androstane‐3α,17β‐diol to 5β‐androstane‐3α,17β‐diol was more sensitive than other parameters. In the IRMS test, the ∆Δδ 13 C‐value between endogenous reference compound and etiocholanolone was a sensitive parameter, and AAFs were obtained. It is the first time to confirm with excretion study that musk administration could lead to positive result of doping control. Copyright © 2017 John Wiley & Sons, Ltd.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".