Inflammation and Apoptosis in the Myocardium in rats following Myocardial Infarction
Bibliographic record
Abstract
Following myocardial infarction (MI) a variety of mechanisms contribute to progressive cardiac remodelling and dysfunction. The objective of this study is to assess changes in inflammation and apoptosis in the myocardium of the left ventricle (LV) after MI. Rats were subjected to left anterior descending coronary artery occlusion, and studied 10 days, 4 weeks and 16 weeks after surgery. MI size was ~40% of LV. LVEDP increased to ~15mmHg. TNF-α, IL-6, IL-1β and IL-10 showed no significant changes in the non-infarcted LV. Macrophages were not found in the non-infarcted LV in either MI or sham rats. Apoptosis was absent in sham rats. Macrophage Immunohistochemistry: (macrophages/field 515x1158 μm) Peri-Infarcted Infarct 10 days MI n=7 127±16 144±12 4 weeks MI n=13 13±2.5 53±4.7 16 weeks MI n=10 2±0.6 28±5.7 Apoptotic Index: (% TUNEL stained cardiac nuclei in 2x2mm field) Non-Infarcted Peri-Infarcted Infarct 10 days MI n=6 0.5±0.3 1.3±0.7 2.6±0.5 4 weeks MI n=3 0±0 0±0 0±0 16 weeks MI n=2 0.6±0.6 0±0 0±0 After MI there is a rapid increase in macrophages and TUNEL staining in the infarct and peri-infarcted myocardium which both decrease over subsequent weeks. There is no inflammation in the non-infarcted myocardium up to 16 weeks post MI. Funding for this project provided by the Canadian Institutes of Health Research.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".