Hemeoxygenase ameliorates diabetic cardiomyopathy by potentiating electrocardiographic and hemodynamic parameters in obese Zucker rats
Bibliographic record
Abstract
D insulin signaling is associated with progressive alterations in cardiac structure and function. We investigated the effects of the heme-oxygenase (HO) inducer, hemin, on cardiac dysfunction in obese Zucker rats, a model characterized by impaired insulin signaling. Administering hemin to obese Zucker rats enhanced insulin sensitivity and potentiated important components of insulin signal transduction pathway including IRS-1, PI3K and GLUT4. These were associated with the amelioration of several hemodynamic parameters including mean arterial pressure, arterial systolic pressure, +dP/dt and arterial diastolic pressure as well as electrocardiographic parameters related to the performance of the cardiac conduction system such as the PR-interval, QRSduration, ST-segment and QT interval. Furthermore, hemin reduced LV-hypertrophy, abated diastolic/systolic LV-wall thickness, abolished cardiac fibrosis, suppressed inflammatory/oxidative mediators and attenuated extracellular matrix/pro-fibrotic proteins, whereas treatment with HO-blocker, stannous-mesoporphyrin, abolished the effects of hemin. We conclude that up-regulating the HO system with hemin improved altered cardiac structure and function in obese Zucker rats by attenuating inflammatory/oxidative insults, suppressing extracellular-matrix/profibrotic, while concomitantly potentiating insulin signaling and glucose metabolism.
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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 | 0.001 |
| 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".