Detection of the GH analogue somatrogon in doping control urine samples by means of LC-HRMS/MS
Bibliographic record
Abstract
Somatrogon is a synthetic growth hormone (GH) analog, whose misuse in sports is prohibited at all times. As analytical approaches complementary to existing immunological GH detection methods were considered beneficial for its detection in doping control serum samples, a sensitive and specific qualitative mass spectrometric assay was recently developed, comprehensively characterized, and successfully employed to analyze authentic in vivo study samples. Within this follow-up project, this approach based on affinity purification, tryptic digestion, and LC-HRMS/MS was modified by implementing an additional ultrafiltration step to allow for the extraction of the intact drug and/or its metabolites from urine. Method validation demonstrated its specificity and sensitivity (LOD: 1 ng/mL), and the subsequent analysis of post-administration urine samples showed for the first time that intact (or at least GH receptor binding) somatrogon is excreted into urine and can be detected in most subjects for at least 96 h following injection. Consequently, anti-doping laboratories can also use urine to confirm the presence of somatrogon in athletes, where the GH differential isoform assay yielded atypical results in the corresponding serum specimens. Moreover, the latter assay also proved to be valuable as screening tool for the identification of urine samples potentially containing the GH analog.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".