Protection from Diabetes‐Associated Apoptosis with Heat Shock Protein 27 Overexpression
Bibliographic record
Abstract
Diabetic cardiomyopathy is associated with cardiac contractile abnormalities which may result from and enhanced apoptotic susceptibility. The small heat shock protein 27 (hsp27) contributes to preservation of cytoskeletal structure which may impact the apoptotic program. The goal of this study was to determine whether hsp27 overexpression influences diabetes‐induced apoptosis. Transgenic mice overexpressing hsp27 and littermate controls were made diabetic by streptozotocin injection and sacrificed seven weeks following diabetic onset. Hsp27 overexpression preserved cardiac contractile function in the diabetic heart as indicated by enhanced rates of relaxation and contraction, as well as developed pressures ( P <0.05 for all three). Caspase activity was decreased in diabetic hearts overexpressing hsp27 as compared to diabetic littermate controls ( P <0.05). Cytochrome c and apoptosis‐inducing factor content in the cytosolic fraction was decreased in diabetic hearts overexpressing hsp27 as compared to diabetic littermate controls ( P <0.05 for both). There was an increased association of hsp27 and alpha‐actin in diabetic hearts overexpressing hsp27 as compared to diabetic littermate controls. These results suggest that hsp27 overexpression attenuates cardiac contractile abnormalities resulting from diabetic insult, which is associated with a decrease in apoptosis susceptibility.
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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) | 0.000 | 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) | 0.001 | 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".