Combined Methylglyoxal Scavenger and Collagen Hydrogel Therapy Prevents Adverse Remodeling and Improves Cardiac Function Post‐Myocardial Infarction
Bibliographic record
Abstract
Abstract Methylglyoxal (MG) is a highly reactive dicarbonyl and the main precursor of advanced glycation end‐products (AGEs). After myocardial infarction (MI), MG‐derived AGEs accumulate in the heart and contribute to adverse remodeling and loss of cardiac function. In this study, the flavonoid fisetin, a dicarbonyl scavenger, is used to reduce the negative effects of MG in the post‐MI heart. A fisetin‐loaded collagen type I hydrogel (fisetin‐HG) is injected intramyocardially in mice at 3 h post‐MI, and compared to fisetin‐alone, hydrogel‐alone, or saline treatment. Fisetin‐HG treatment increases the level of glyoxalase‐1 (the main MG‐metabolizing enzyme), reduces MG‐AGE accumulation, and decreases oxidative stress in the MI heart, which is associated with smaller scar size and improved cardiac function. Treatment with fisetin‐HG also promotes neovascularization and increases the number of pro‐healing macrophages in the infarct area, while reducing the number of pro‐inflammatory macrophages. Taken together, the results demonstrate that the fisetin‐collagen hydrogel therapy can reduce the accumulation and negative effects of MG post‐MI. This therapy may be a promising approach to limit adverse cardiac remodeling, prevent damage, and preserve function of the infarcted heart.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".