Chronic Manifestation of Postreperfusion Intramyocardial Hemorrhage as Regional Iron Deposition
Bibliographic record
Abstract
BACKGROUND: Intramyocardial hemorrhage frequently accompanies large reperfused myocardial infarctions. However, its influence on the makeup and the ensuing effect on the infarcted tissue during the chronic phase remain unexplored. METHODS AND RESULTS: Patients (n=15; 3 women), recruited after successful percutaneous coronary intervention for first segment-elevation myocardial infarction, underwent cardiovascular magnetic resonance imaging on day 3 and month 6 after percutaneous coronary intervention. Patients with hemorrhagic (Hemo+) infarctions, as determined by T2* cardiovascular magnetic resonance on day 3 (n=11), showed persistent T2* losses colocalized with scar tissue on the follow-up scans, suggesting chronic iron deposition. T2* values of Hemo+ territories were significantly higher than nonhemorrhagic (Hemo-) and remote territories (P<0.001); however, T2* values of nonhemorrhagic (Hemo-) and remote territories were not different (P=0.51). Canines (n=20) subjected to ischemia-reperfusion injury (n=14) underwent cardiovascular magnetic resonance on days 3 and 56 after ischemia-reperfusion injury. Similarly, sham-operated animals (Shams; n=3) were imaged using cardiovascular magnetic resonance at similar time points. Subsequently, hearts were explanted and imaged ex vivo, and samples of Hemo+, Hemo-, remote, and Sham myocardium were isolated and stained. The extent of iron deposition ([Fe]) within each sample was measured using mass spectrometry. Hemo+ infarcts showed significant T2* losses compared with the other (control) groups (P<0.001), and Perls stain confirmed localized iron deposition. Mean [Fe] of Hemo+ was nearly an order of magnitude greater than that of the control groups (P<0.001), but no significant differences were observed among the control groups. A strong linear relationship was observed between log(T2*) and -log([Fe]); R(2)=0.7 and P<0.001. The monoclonal antibody Mac387 stains, along with Perls stains, showed preferential localization of newly recruited macrophages at the site of chronic iron deposition. CONCLUSIONS: Hemorrhagic myocardial infarction can lead to iron depositions within the infarct zones, which can be a source of prolonged inflammatory burden in the chronic phase of myocardial infarction.
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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 | 0.000 |
| 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".