North American ginseng protects against muscle damage and reduces neutrophil infiltration after an acute bout of downhill running in rats
Bibliographic record
Abstract
Eccentric muscle contractions such as those experienced during downhill running are associated with inflammation, delayed-onset of muscle soreness, myofiber damage, and various functional deficits. North American ginseng (Panax quinquefolius L.) has been reported to possess anti-inflammatory properties and thus may offset some of this exercise-induced damage. Hence, we tested the hypothesis that intervention with North American ginseng would reduce eccentric exercise-induced muscle damage and inflammation. Male Wistar rats were fed (300 mg/(kg·day)(-1)) of either an alcohol (AL) or aqueous (AQ) extract of North American ginseng for 14 days before a single bout of downhill running and were compared with matching nonexercised (C) groups. Plasma creatine kinase levels were significantly reduced in both ginseng treated groups compared with the C group that received a water placebo (p < 0.002). Further, the AQ but not AL group also showed attenuated morphological signs of damage (hemotoxylin and eosin) as well as reduced levels of infiltrating neutrophils (HIS48) in the soleus muscle (p < 0.001). In summary, supplementation with an AQ but not AL extract of North American ginseng was able to reduce eccentric exercise-induced muscle damage and inflammation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".