Interleukin‐6 and its mRNA responses in exercise and recovery: relationship to muscle glycogen
Bibliographic record
Abstract
Increases in circulating interleukin-6 (IL-6) during exhaustive exercise have been suggested to be related to declining muscle glycogen. We addressed two hypotheses: (a) exhaustive exercise on two occasions will result in similar decreases in glycogen and increases in circulating IL-6 and its muscle mRNA; (b) increasing the rate of glycogen restoration via high-carbohydrate feeding in recovery will be associated with more rapid declines in muscle mRNA and circulating IL-6. Ten male subjects (22.6+/-0.8 year) cycled to exhaustion (65% VO(2 max)) on two occasions (117.8+/-2.9 min). Carbohydrate (1 g/kg bw) or water was ingested at exhaustion, 60, 120, 180, and 240 min post-exercise. Muscle biopsies were taken at rest, exhaustion, 30, 60, 120 and 300 min of recovery. Exercise resulted in a 14.5-fold increase (P<0.05) in IL-6 mRNA, 14.4-fold increase (P<0.05) in circulating IL-6, and a 80% decrease (P<0.05) in muscle glycogen from rest. The decline in glycogen was not correlated with the increase in IL-6 or IL-6 mRNA. During recovery, circulating IL-6 and its muscle mRNA decreased similarly in both trials; however, glycogen increased 150% (P<0.05) and 40% in the carbohydrate and water trials, respectively. Therefore, the declining IL-6 mRNA and IL-6 plasma concentrations during recovery were not related to carbohydrate availability or changes in glycogen.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".