Abstract 848: The Iron Chelator Deferiprone Clears Hemorrhagic Byproducts Following Acute Myocardial Infarction in a Swine Model of Ischemia-Reperfusion
Bibliographic record
Abstract
Current treatments for myocardial infarction (MI) aim to remove the vascular occlusion and reperfuse the infarcted tissue. While reperfusion can salvage myocardium, it can also increase damage to the unsalvageable tissue, one mechanism of which is hemorrhage; the resulting blood and iron deposits increase edema and inflammation. We hypothesize that removing these iron deposits with the iron chelating drug deferiprone (DFP) will reduce inflammation and lead to faster healing post-MI. Using a swine model of ischemia-reperfusion, pigs were administered either DFP or saline for four weeks post-MI. Cardiac MRI tracked heart function, infarct progression (via late gadolinium enhancement), hemorrhage (via T2* imaging), and edema (via T2 imaging) at baseline and 1 day, 1 week, and 4 weeks post-MI. Animals were then sacrificed and hearts were processed for histology. Treatment with DFP decreased the presence of iron in the infarct compared to saline by one week post-MI, as shown by increased T2* values. DFP treatment also decreased end diastolic wall swelling, suggesting less inflammation post-MI. To support this, T2 values and histology both revealed trends toward less edema with DFP. Histology also showed trended increases in fibroblast proliferation and collagen deposition at four weeks post-MI in the treatment group, consistent with a faster resolution to scar. Ventricular remodeling (by ventricular volumes), infarct size (by MRI, histology and blood Troponin I levels), and infarct transmurality were all unaffected, but contractile function improved with DFP treatment: ejection fraction and wall thickening both improved faster. In conclusion, DFP treatment successfully reduced hemorrhagic iron within the infarct as compared to saline, indicating a clearing of the iron byproducts. Treatment also decreased wall swelling, suggesting reduced inflammation, and improved contractile function. In the infarct, reduced swelling could indicate faster remodeling and a faster resolution to scar, and histology confirms a more progressed scar structure with DFP treatment. Overall, iron chelation appears to be a promising therapy that could reduce the negative effects of hemorrhage and speed the functional recovery of patients post-MI.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".