Urinary detection of rapid‐acting insulin analogs in healthy humans
Bibliographic record
Abstract
Human insulin and its synthetic analogs are considered as life-saving drugs for people suffering from diabetes mellitus. Next to the therapeutic use, scientific and non-scientific literature (e.g. bodybuilding forums; antidoping intelligence and investigation reports) indicate that these prohibited substances are used as performance enhancing agents. In the present report, the development and validation of a sensitive analytical strategy is described for the urinary detection of three rapid-acting insulin analogs (Lispro, Aspart, Glulisine). The method is based on sample purification by the combination of ultrafiltration and immunoaffinity purification and subsequent analysis by nano-flow liquid chromatography coupled to high resolution mass spectrometry. Next to the results on different validation parameters (LOD: 10 pg/mL; recovery: 25-48%; matrix effect: -3-(-8) %), data on urinary elimination times, which were obtained in the frame of an administration study with the participation of healthy volunteers, are presented. The determined detection windows (~9 hours) are expected to help to evaluate current routine analytical methods and aim to aid doping authorities to set appropriate target windows for efficient testing.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".