n-3 polyunsaturated fatty acids (PUFAs) inhibit mast cell activation by disrupting FcεRI association with lipid rafts (HYP3P.401)
Bibliographic record
Abstract
Abstract INTRODUCTION: n-3 PUFAs can suppress allergic inflammation. We hypothesized that n-3 PUFAs inhibit mast cell (MC) activation through modification of FcεRI association with lipid rafts on plasma membrane. METHODS: Bone marrow-derived MCs (BMMC) were cultivated from C57BL/6 wild-type (WT) and fat-1 transgenic mice which express fatty acid n-3 desaturase and produce endogenous n-3 PUFAs. Exogenous n-3 PUFAs were supplemented to WT BMMC. Degranulation, cysteinyl leukotriene (cys-LT), and tumor necrosis factor (TNF) and chemokine (C-C motif) ligand 2 (CCL2) release were evaluated following FcεRI activation. Lipid rafts were isolated by sucrose gradient centrifugation. FcεRI expression was determined by flow cytometry and western blot analysis. RESULTS: Gas chromatography-mass spectrometry analysis showed increased n-3 PUFA levels in whole cell lysates and lipid raft fractions of fat-1 BMMC compared to WT BMMC and in whole cell lysates of PUFA-supplemented BMMC. n-3 PUFAs inhibited degranulation and cys-LT, TNF and CCL2 production compared to untreated BMMC. n-3 PUFAs did not alter expression of surface or total cell FcεRI. However, n-3 PUFAs suppressed FcεRI localization in lipid rafts of unstimulated cells, and disrupted FcεRI shuttling to rafts in stimulated BMMC. CONCLUSIONS: Our results suggest that n-3 PUFAs inhibit MC activation by disruption of FcεRI localization and shuttling into lipid rafts.
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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) | 0.000 | 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 | 0.000 |
| 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".