Effect Of Avenanthramide Supplementation On Responses To Eccentric Exercise In Young Women
Bibliographic record
Abstract
Avenanthramides (AVA) are a group of nitrogen-containing diphenolic phytochemicals found exclusively in oats that have exhibited antioxidant and anti-inflammatory potential in vitro and in rodents; however, the effects of chronic AVA consumption in humans have been unexplored. PURPOSE: To investigate the effects of 8 weeks of AVA supplementation on the inflammatory and oxidative responses to a single bout of downhill running in college-aged women. METHODS: Ten women aged 18-29 yr were randomly assigned to receive cookies fortified with either high-AVA (23.5 mg/day) oat flour (O, Ceapro Inc., Canada) or with equal content of wheat flour as a placebo (PL). They were instructed to eat one 115 g cookie per day for 8 wks, during which dietary and physical activity levels were recorded. Before and after the supplementation period, subjects ran on a treadmill at -9% grade at a speed that elicited 75% of their maximal heart rate for 4 x 15 min bouts with 3 rest intervals of 5 min each. Blood samples were collected before and immediately and 24-h post exercise. RESULTS: There was no difference in pain and soreness ratings between O and PL groups post-exercise. During the post-supplementation test, O showed a higher plasma reduced to oxidized glutathione ratio (P<0.05) at 24 h post-exercise vs. PL group. Red blood cell (RBC) glutathione peroxidase activity decreased (P<0.05) immediately after exercise in O, but not in PL. RBC superoxide dismutase activity was higher (P<0.05) in O vs. PL post-exercise. There were trends toward lower plasma tumor necrosis factor (TNF)-alpha levels and white blood cell reactive oxygen species production in O compared to PL immediately and 24-h after exercise. CONCLUSIONS: High-AVA oat supplementation appears to attenuate downhill exercise-induced oxidative stress and blood inflammatory markers in college-aged women.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.001 | 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 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".