Inhibiting matrix metalloproteinase‐2 (MMP‐2 reduces endothelial damage in isolated rat hearts during ischemia‐reperfusion
Bibliographic record
Abstract
Previous studies have shown disruption of the coronary endothelium and increase in its permeability during ischemia‐reperfusion (I/R) which can be linked with MMPs activity. Our group has shown that during I/R, increased activity of MMP‐2 is associated with cardiac dysfunction, which can be prevented by MMP inhibitors. Therefore, we hypothesize that MMPs inhibition reduces the MMP‐2 dependent disruption of the coronary endothelium during I/R. Isolated rat hearts were perfused in the Langendorff mode at a constant pressure and subjected to 15‐30 min of no‐flow ischemia followed by 30 min of reperfusion. o‐Phenanthroline (Phen), an inhibitor of MMPs, was used to protect the hearts from dysfunction. Endothelial integrity was evaluated by measuring coronary flow, and by measuring the interstitial albumin and serotransferrin in the effluent. MMP‐2 activity was measured in the hearts by zymography. MMP‐2 activity was increased in heart tissue at the end of ischemia and was correlated with duration of ischemia. The coronary flow was decreased and correlated with the disruption of the endothelial barrier (increased release of albumin and serotransferrin in the coronary effluent). Administration of Phen inhibited both reduction of coronary flow and endothelial barrier disruption.
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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 | 0.001 | 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 | 0.000 | 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".