Effects of different dietary omega-6/3 polyunsaturated fatty acids ratios on infarct size and the limbic system after myocardial infarction
Bibliographic record
Abstract
Changes in dietary omega-6/3 polyunsaturated fatty acids (PUFA) ratios affect anti- and proinflammatory equilibrium. As reperfused myocardial infarction (MI) is an inflammatory pathology that alters the cell integrity of the myocardium but also of other tissues, such as the hippocampus and amygdala, attenuation of the inflammation could be helpful in maintaining cell integrity after MI. Therefore, we hypothesized that a decrease in the dietary omega-6/3 PUFA ratio, without altering the diet content in total fat, proteins, or carbohydrates, will result in a reduction of infarct size and a diminution of postreperfusion apoptosis observed in the amygdala and hippocampus. Male Sprague-Dawley rats were fed 1 of 3 diets containing different omega-6/3 PUFA ratios for 2 weeks (5:1; 1:1; 1:5). Then, myocardial ischemia was induced by left anterior descending coronary artery occlusion for 40 min, followed by reperfusion. Cardioprotective mechanisms were studied in the myocardium at 15 min of reperfusion, along with myocardial infarct size after 24 h of reperfusion. Apoptosis was evaluated in the hippocampus and the amygdala. We found that infarct size was significantly reduced by 32% in groups 1:5 and 1:1 vs. group 5:1. Akt activity was higher in groups 1:5 and 1:1 compared with group 5:1. Caspase-3 enzymatic activity doubled in area CA1 and the dentate gyrus (DG) in group 5:1 compared with groups 1:1 and 1:5. In addition, caspase-8 enzymatic activity was increased in the DG at 24 h, and caspase-9 was enhanced in CA1 at 24 h in group 5:1 vs. groups 1:1 and 1:5. These results demonstrate that the increase in the dietary omega-3 PUFA, at the expense of omega-6 PUFA, reduces infarct size and helps to inhibit apoptosis in the limbic system after 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".