Leptin protects H9c2 rat cardiomyocytes from H<sub>2</sub>O<sub>2</sub>‐induced apoptosis
Bibliographic record
Abstract
Obesity is a known risk factor for induction of myocardial infarction, but, paradoxically, may also confer a protective effect against subsequent remodeling leading to heart failure. In this study, we investigated the effect of leptin, the product of the obese (ob) gene, on cardiomyocyte apoptosis, a well-characterized component of cardiac remodeling after myocardial infarction. Exposing H9c2 cells to H(2)O(2) decreased cell viability, and this was attenuated by pretreating cells with leptin for 1 h, but not 24 h. Leptin also attenuated the ability of H(2)O(2) to increase phosphatidylserine exposure and annexin V binding. Further investigation of underlying mechanisms of leptin's protective effect demonstrated that the H(2)O(2)-induced decrease in mitochondrial membrane potential (Psi) leading to cytochrome c release was attenuated by leptin pretreatment, and this was associated with reduced translocation of the pro-apoptotic Bax protein to the mitochondrial membrane. Finally, leptin prevented H(2)O(2)-induced increases in caspase-3 cleavage and activity, although again 24 h leptin pretreatment did not confer significant protection. In summary, we have demonstrated that acute leptin pretreatment mediates anti-apoptotic effects in H9c2 rat cardiomyocytes, which may be of significance in clarifying the direct impact of leptin on the heart.
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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) | 0.001 | 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".