Phytochemical Effects on FcepsilonRI and MrgprX2-mediated Activation of Human Mast Cells
Bibliographic record
Abstract
Abstract Phytochemicals and herbal extracts are currently used in food supplements as a means of preventing and treating disease. Although phytochemicals have been studied for their potentially beneficial effects on coronary heart disease and their ability to prevent atherosclerosis, certain cancers and inflammatory disease, very little attention has been focused on the potential health benefits of phytochemicals in atopic disease. Mast cells synthesize and store several proinflammatory mediators and are centrally important in atopic diseases such as asthma. Our team has been characterizing the effect of several phytochemicals (flavonoids and polysaccharides) on mast cell activation and pro-inflammatory mediator production when mast cells were activated via the high affinity Fc epsilon receptor I (FceRI) or mas-related G protein coupled receptor, MrgprX2. We show that quercetin and resveratrol decrease mast cell degranulation of both bone marrow-derived mast cells and the human mast cell line (LAD2) by at least 50% (at 10 ug/mL) when the cells were activated via FceRI with IgE and antigen. However, these flavonoids had no effect on LAD2 cells activated via MrgprX2. Polysaccharides isolated from seaweed inhibited IgE/Ag and MrgprX2 activated degranulation of LAD2 cells (by 50%, p<0.01) with some polysaccharides specific to only MrgprX2 activation. These results suggest that mast cell activation can be differentially modulated by phytochemicals.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".