Circulating Myostatin Decreases with Aerobic Exercise Training in Pre‐Diabetic but not Diabetic Human Subjects
Bibliographic record
Abstract
Myostatin is a potent secreted inhibitor of skeletal muscle growth. We recently demonstrated that plasma myostatin decreased with aerobic exercise and a correlation with insulin sensitivity. We subsequently quantified myostatin in plasma samples from two exercise‐training cohorts to determine the effects of both endurance and resistance exercise on circulating myostatin levels in both insulin resistant (STRRIDE, n=100) and type 2 diabetic (DARE, n=360) human subjects. In both studies, fasting myostatin levels increased significantly (P<0.05) whilst markers of insulin resistance (Si and HOMA‐IR) worsened in the control subjects (~ 6 months sedentary). In the STRRIDE cohort the most intense aerobic exercise group (65–80% VO2, 2200 kcal/week) showed the most significant decrease in plasma myostatin. There were no significant decreases in plasma myostatin in the aerobic and combined exercise training groups in the DARE cohort, however, there was a small but significant decrease in resistance training group. These findings confirm that plasma myostatin levels are responsive to exercise training in both insulin resistant and diabetic patients albeit to different exercise modalities. These findings support our hypothesis that myostatin is in the causal pathway of acquired insulin resistance with physical inactivity.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".