Mast Cell-Fibroblast Interactions Induce Matrix Metalloproteinase-9 Release from Fibroblasts: Role for IgE-Mediated Mast Cell Activation
Bibliographic record
Abstract
Mast cells adhere to fibroblasts, but the biological effects of adhesion are not well understood. We hypothesized that these adhesive interactions are important for tissue remodeling through the release of matrix metalloproteinases (MMP). Murine bone marrow cultured mast cells (BMCMC) were cocultured with NIH-3T3 fibroblasts or murine lung fibroblasts (CCL-206) and supernatants analyzed for MMP-9 release by gelatin zymography. Coculture of BMCMC for 24 h with NIH-3T3 or CCL-206 fibroblasts increased the release of MMP-9 from fibroblasts by 1.7+/-0.2 and 2.0+/-0.7-fold, respectively. Coculture of BMCMC and fibroblasts in the presence of IgE increased further MMP-9 release, which was released by fibroblasts. MMP-9 release was dependent on TNF released from IgE activated BMCMC and on adhesive interactions between BMCMC and fibroblasts. Increased MMP-9 release was also p44/42-dependent, as was MMP-9 up-regulation during coculture of fibroblasts with resting BMCMC. Finally, IgE injection into the mouse ear increased MMP-9 content of the ear tissue in the absence of Ag, indicating that IgE-mediated remodeling may play a pathogenic role in allergic conditions even in the absence of exposure to allergens. In conclusion, mast cell-fibroblast interactions induce the release of proteases important for tissue remodeling, such as MMP-9. MMP-9 release was further increased in the presence of IgE during coculture, suggesting a role for mast cell-fibroblast interactions in atopic conditions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".