Aerobic exercise improves postprandial inflammatory and hemostatic markers after a high-fat meal: a randomized crossover study
Bibliographic record
Abstract
Exercise intensity modulates postprandial lipemia. However, its effect on hemostatic and pro- and anti-inflammatory markers in the postprandial state is still unknown. Eleven young males performed a 2-day trial on different conditions: (i) REST: rest for 45 min; (ii) MIE: moderate-intensity exercise; and (iii) HIE: heavy-intensity exercise. Experimental conditions were performed in the evening. On the following morning, blood samples were taken in the fasted state (0 h) and at 1, 3, and 5 h after the consumption of a high-fat meal (HFM). Interleukin-10 (IL-10) levels were higher in the HIE vs. MIE trial at 0 and 1 h (p < 0.033) and IL-10 incremental area under the curve (iAUC) was greater in the MIE (p = 0.027) and HIE (p = 0.045) trials vs. REST. Lower levels of anti-coagulation factor VII (FVII) were observed at 1 h in the MIE condition vs. REST (p = 0.043). In comparison with REST, MIE improved hemostatic (FVII) and anti-inflammatory markers (IL-10 iAUC) whereas HIE enhanced IL-10 in the postprandial state. Regardless of the exercise intensity, aerobic exercise mitigates the deleterious consequences of an HFM. Novelty: Prior aerobic exercise at moderate-intensity attenuates next day’s postprandial FVII and IL-10 levels whereas exercise performed at heavy-intensity increases IL-10 levels. Moderate-intensity exercise may be more beneficial to improve hemostatic (FVII) and anti-inflammatory (IL-10) responses while heavy-intensity exercise may improve anti-inflammatory (IL-10) levels only.
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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 | 0.000 | 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 | 0.000 |
| 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".