Redefining eosinophil crystalloid granules as a potential new functional unit in extracellular inflammatory Events
Bibliographic record
Abstract
Eosinophils are major effector cells in allergic inflammatory response. They are known to synthesize, store, and release a wide range of pro-inflammatory mediators. Eosinophils contain different populations of mediator-storage organelles, including small secretory vesicles as well as crystalloid granules. In cytolysis, eosinophil cell membrane loses its integrity and crystalloid granules are released to extracellular space. Potential function of crystalloid granules in extracellular space as it relates to inflammatory events remains widely unknown. We hypothesized that eosinophil crystalloid granules are equipped to function independently in extracellular space. Our findings indicate that both DNA and RNA localize to human and rabbit eosinophil crystalloid granules and that RNA seems to be synthesized in intra-granular space further suggesting the presence of functional transcription machinery inside the granules. Furthermore, we show here that crystalloid granules express functional membrane receptors for a cytokine, IFN-gamma, as well as G protein-coupled membrane receptors for a chemokine, eotaxin. Our findings indicate that these receptors function by activating signal-transducing pathways within granules leading to mediator release from granules to extra-granular space in a cell free environment. Taken together our findings define a new potential role for eosinophil crystalloid granules as independent extracellular functional units in inflammatory events and may reveal a novel target in modulating the inflammatory events.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".