THE EFFECT OF INSULIN ON STRESS-RESPONSE PATHWAYS IN A CELLULAR MODEL OF RAT CARDIOMYOCYTES
Bibliographic record
Abstract
Insulin and cellular stressors both activate p38 MAPK. Insulin protects cardiac tissue in a p38 MAPK-dependent manner. Paradoxically, inhibiting p38 MAPK is also protective. Hsp27 phosphorylation is regulated by p38 MAPK. Insulin was tested in H9c2 cardiomyocytes subjected to media exchange, 6 hours of oxygen-glucose deprivation, and reoxygenation. Insulin suppressed stress-induced phosphorylation of Hsp27 due to media-exchange or oxygen-glucose deprivation. Surprisingly, insulin increased Hsp27 phosphorylation during reoxygenation. Insulin also reduced total p38 MAPK levels. Insulin before oxygen-glucose deprivation prevented both localization of Hsp27 to the nucleus and localization of phospho-p38 MAPK to the cytoplasm. Insulin during oxygen-glucose deprivation caused the localization of phospho-p38 MAPK in the cytoplasm, but did not increase Hsp27 phosphorylation until reoxygenation. In conclusion, insulin may protect before oxygen-glucose deprivation by redirecting phospho-p38 MAPK to the nucleus away from damaging pathways in the cytoplasm and protects during oxygen-glucose deprivation by priming phospho-p38 MAPK to phosphorylate Hsp27.
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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 | 0.000 |
| 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".