Exploring effects of a natural combination medicine on exercise‐induced inflammatory immune response: A double‐blind <scp>RCT</scp>
Bibliographic record
Abstract
Traumeel (Tr14) is a natural, combination drug, which has been shown to modulate inflammation at the cytokine level. This study aimed to investigate potential effects of Tr14 on the exercise-induced immune response. In a double-blind, randomized, controlled trial, healthy, untrained male subjects received either Tr14 (n = 40) or placebo (n = 40) for 24 h after a strenuous experimental exercise trial on a bicycle (60 min at 80%VO2 max). A range of antigen-stimulated cytokines (in vitro), white blood cell count, lymphocyte activation and apoptosis markers, and indicators of muscle damage were assessed up to 24 h following exercise. The area under the curve with respect to the increase (AUCI ) was compared between both groups. The Tr14 group showed a reduced exercise-induced leukocytosis and neutrocytosis (P < 0.01 for both), a higher AUCI score of antigen-stimulated IL-1β and IL-1α (absolute and per monocyte, all P < 0.05), a lower AUCI score of antigen-stimulated GM-CSF (P < 0.05) and by trend a lower AUCI score of antigen-stimulated IL-2 and IL-4 as well as a higher AUCI score of antigen-stimulated IL-6 (all P < 0.1). Tr14 might promote differentiated effects on the exercise-induced immune response by (a) decreasing the inflammatory response of the innate immune system; and (b) augmenting the pro-inflammatory cytokine response.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".