Exercise training suppresses Mst1 activation and attenuates myocardial dysfunction in mice with type 1 diabetes
Bibliographic record
Abstract
Our study was to test the effects of aerobic exercise on myocardial function in mice with type 1 diabetes and investigate the underlying mechanism associated with mammalian sterile 20-like kinase 1 (Mst1). Wild-type mice and Mst1(-/-) mice were injected with streptozotocin to induce diabetes and given moderate-intensity exercise for 12 weeks. Phosphorylation of Mst1 was significantly enhanced in the left ventricles of diabetic mice, which was reversed by exercise training. Exercise training or Mst1 deficiency improved myocardial function and reduced myocardial fibrosis in diabetic mice. Exercise training or Mst1 deficiency reduced TUNEL-positive cells and caspase-3 activity in the myocardium of diabetic mice. Exercise training or Mst1 deficiency abated oxidative stress and reduced mitochondrial reactive oxygen species formation, attenuated mitochondrial swelling, and enhanced mitochondrial adenosine triphosphate formation and mitochondrial membrane potential in the myocardium of diabetic mice. Exercise training or Mst1 deficiency suppressed inflammation in the myocardium of diabetic mice. Furthermore, exercise training did not provide further protection in Mst1 knockout mice in diabetes. In conclusion, chronic exercise training attenuated myocardial dysfunction in mice with type 1 diabetes, at least in part, through suppressing Mst1 activation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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 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".