Biomarker detection of rhGH Doping: an excretion study
Bibliographic record
Abstract
The purpose of this research is to validate the biomarker-based approach for the detection of doping with recombinant human growth hormone (rhGH) in sport. The GH-2000 project proposed an indirect method for the detection of exogenously administered growth hormone (GH) based on the measurement of the GH-dependent markers: insulin-like growth factor-I (IGF-I) and Type III pro-collagen (P-III-P). These markers rise in a dose-dependent manner after GH application. In this study, the concentrations of IGF-I, IGF-BP3, and P-III-P in serum were determined to provide further incentives for the implementation of this detection assay in modern anti-doping programmes. This paper reports on an administration study of rhGH involving 25 Chinese male volunteers at a dose of 0.1 IU /kg/day for a continuous 14-day period. We observed that the serum IGF-I concentration increased rapidly in the rhGH treatment group and showed significantly higher levels compared to baseline between days 4 and day 16 after administration. Although the response of P-III-P to rhGH administration was delayed compared to the IGF-I axis, the P-III-P concentration remained increased for a longer period (from day 4 to day 28). Statistical analysis was carried out to establish a discriminant formula with Statistical Product and Service Solutions (SPSS) concluding that the biomarker methodology is valid and universally applicable.
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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".