Insights into the cardioprotective properties of n-3 PUFAs against ischemic heart disease via modulation of the innate immune system
Bibliographic record
Abstract
Ischemic heart disease (IHD) is a major cause of cardiovascular morbidity and mortality worldwide, which is characterized by an imbalance between cardiac oxygen supply and demand predominantly due to obstruction of coronary arteries. Activation of the innate immune system and the consequent inflammatory response plays a role in the pathogenesis of IHD. Where an excessive inflammatory response may contribute to adverse cardiac remodeling and fibrosis, making inflammation an important therapeutic target for improving outcomes of IHD. While there are many discrepancies in the literature, evidence from both bench and clinical research demonstrate important effects of n-3 polyunsaturated fatty acids (n-3 PUFA), eicosapentaenoic acid (EPA) and/or docosahexaenoic acid (DHA), toward IHD. N-3 PUFAs, and their metabolites, have been demonstrated to modulate various components of the immune system, including regulation of chemokines and cytokines, leukocyte chemotaxis and inflammasome formation. In this article, we provide an overview of the role the innate immune system has in IHD and focus on the immunomodulatory effects of n-3 PUFAs and their biologically active metabolites.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".