Cyclooxygenase‐2 induction in macrophages is modulated by docosahexaenoic acid <i>via</i> interactions with free fatty acid receptor 4 (FFA4)
Bibliographic record
Abstract
Cyclooxygenase-2 (COX-2)-derived prostaglandins are implicated in numerous inflammatory disorders. The purpose of these studies was to examine previously unexplored interactions between COX-2 induction and docosahexaenoic acid (DHA) via the free fatty acid receptor 4 (FFA4) signaling pathway in murine RAW 264.7 cells and peritoneal macrophages challenged with lipopolysaccharide (LPS). DHA dose (IC50=18 μM)- and time-dependently reduced COX-2 expression, without affecting COX-1. DHA (25 μM for 24 h) decreased LPS-induced prostaglandin E2 (PGE2) synthesis by 81%, primarily through reducing COX-2 (60%), as well as down-regulating microsomal prostaglandin E synthase-1 (46%), but independently of peroxisome proliferator-activated receptors. FFA4 knockdown abrogated DHA effects on COX-2 induction, PGE2 production, and interleukin 6 (IL-6) gene expression. In the presence of inhibitors of eicosanoid metabolism via COX-2, 12/15-lipoxygenase and CYP450s (rofecoxib (1 μM), PD146176 (2 μM), or MS-PPOH (20 μM)), DHA was still effective in attenuating COX-2 induction. Moreover, Toll-like receptor 4 signaling via Akt/JNK phosphorylation and p65 nuclear translocation was repressed by DHA-activated FFA4 coupling with β-arrestin 2, which was reversed by FFA4 knockdown. These data support DHA modulation of COX-2 expression and activity, in part, via FFA4, which provides a new mechanistic explanation for some of the anti-inflammatory effects of DHA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".