Interactive effect of exercise training with ω-3 supplementation on resting levels of TNF-α and IL-10 in Karat Men
Bibliographic record
Abstract
: Introduction: Perform heavy exercise training, causing a variety of changes including a reduction in performance. Few human studies have been examined of supplemental ω-3 and exercise, then the aim of this study was to study the interactive effect of exercise and ω-3 on resting levels of TNF-α and IL-10 in elite Karate and compared with untrained. Methods: In this quasi-experimental study 42 healthy young male elite karate and non-athletes, were randomly divided into study groups. Athletes: 1- ω -3 and exercise, 2- placebo and exercise,3- exercise and non-athletes: 1- ω -3, 2- placebo,3- control. Athletes groups performed pre-season practice in 65% to 80% VO2 max. Consumption of ω -3 was 1800mg/day for 4 weeks. Blood sampling done 48 hours before, 12 hours fasting after protocol. TNF-α and IL-10 were measured by ELISA and LDL, HDL Enzymatic methods. Results: Exercise training with ω-3 for 4 weeks do not have a significant effect on resting levels of IL-10، TNF- α ،HDL و LDL (P>0.05). Then ω-3 do not have a significant effect in non-athletes (P>0.05). Conclusion: The results showed that Although the consumption of ω-3 do not have significant changes in TNF-α and IL-10, but can slightly reduced TNF-α and increase in the IL-10, that confirm its positive effects on inflammatory factors. However, more research seems necessary in this context.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".