Abstract P2118: Intervention With The Adiponectin Mimetic Peptide ALY688 Protects Against Cardiac Dysfunction Induced By Ischemia Reperfusion Injury
Bibliographic record
Abstract
Cardiac ischemia reperfusion injury is associated with significant morbidity and mortality for which there remains a great clinical unmet for effective therapeutics. Adiponectin mediates numerous cardioprotective effects and there has been significant interest in developing adiponectin-based therapeutics. The objective of this study was to evaluate the cardioprotective effect of ALY688 on myocardial remodelling at 48 hours post ischemia reperfusion injury, and cardiac function after 28 days. We used a rat model of myocardial ischemia for 45 min followed by reperfusion ± intravenous ALY688 administration during either ischemia or reperfusion followed by daily subcutaneous injection for 28 days. Acute phase (48h) analysis indicated that, compared with vehicle, ALY688 intervention during ischemia or reperfusion reduced cardiac injury indicated by circulating troponin I level, myocardial DNA oxidation and lipid peroxidation and in tissue sections we observed lower TUNEL staining, neutrophil infiltration and macrophage 1 polarization. Further analysis of inflammation indicated an increase of the pro-resolution cytokine IL-10 and Treg content via Foxp3 detection in animals treated with ALY688. Importantly, echocardiography indicated that after 14 and 28 days ALY688-treated animals had significantly improved cardiac function as well as reduced infarct size. This was associated with reduced fibrosis by Masson trichrome, scanning electron microscopy and established markers of fibrosis at the protein and mRNA level. Overall, our data provide strong evidence for the cardioprotective effects of adiponectin mimetic peptide ALY688 as a novel therapeutic strategy in treating ischemia reperfusion injury.
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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) | 0.004 | 0.001 |
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".