Micro‐doses of Recombinant Human Erythropoietin Enhance Endurance Performance While Indirect Detection by The Athlete Biological Passport Is Improved by Including The Immature Reticulocyte Fraction
Bibliographic record
Abstract
Recombinant human erythropoietin (rHuEPO) is ergogenic but micro‐doses remain a challenge for anti‐doping authorities. Here, we investigated the hypothesis that frequent micro‐doses of rHuEPO enhance maximal oxygen consumption (VO2max) and time trial performance and that the combination of immature reticulocyte fraction (IRF) and the Athlete's Biological Passport (ABP) would enhance detection compared to the ABP alone. In a randomized, double‐blinded, placebo‐controlled design, 34 trained (VO2max: 52 ± 7 ml×min‐1×kg‐1, mean ± SD) adults received either rHuEPO (rHuEPO: epoetin‐β, 9 IU/kg, n = 16) or placebo (PLA: 0.9% NaCl, n = 18) three times a week for four weeks. Before and after the intervention, VO2max, mean power output during a 400‐kcal time trial and total hemoglobin mass (tHb) were measured. Venous blood samples were collected before, each week during rHuEPO administration, and 3, 5 and 10 days after the last injection. Hematological values were evaluated using dedicated ABP software. VO2max increased by 4.7% (p<0.01) and tHb increased by 6.8% (p<0.001) in the rHuEPO group when compared to the PLA group where no changes were evident. Mean power output during the time trial increased by 4.0% (p<0.01) in the rHuEPO group with no changes observed in the PLA group. Inclusion of IRF thresholds improved ABP sensitivity from 47% to 73%, yielding a peak sensitivity during the first two weeks of the rHuEPO treatment and 10 days after cessation of treatment. In conclusion, these findings show that four weeks of rHuEPO micro‐doses are sufficient to induce considerable ergogenic effects on both VO2max and time trial performance in trained adults. The inclusion of IRF thresholds into the ABP improved sensitivity during treatment and the viability of including IRF into the ABP should be considered although more studies are needed.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".