DCIR is an Important Regulatory Molecule in Allergic Inflammation
Bibliographic record
Abstract
Abstract The dendritic cell immunoreceptor (DCIR) is an inhibitory C-type lection receptor possessing immunoregulatory properties. We have shown that DCIR serves as a receptor for IVIg. In this study, we sought to determine its requirement in modulating IVIg mechanism of action by using a murine model of allergic of airways disease. Wild type (WT) and DCIR−/− mice were sensitized and challenged with ovalbumin (OVA), and lung histopathology, bronchoalveolar lavage and phenotyping of inflammatory cells were performed. We further studied the effect of IVIg on allergen uptake and processing of CD11c+ cells in vitro. Briefly, bone marrow-derived dendritic cells from WT, DCIR−/− and Fcr2b−/− mice were treated with IVIg prior to exposure to OVA-ALEXA-647 or DQ-OVA. DCIR−/− mice exhibit exacerbated pulmonary inflammation and eosinophilia compared to WT mice; this phenotype is rescued by IVIg treatment as in WT mice. Furthermore, IVIg significantly impairs the antigen uptake and processing machinery of dendritic cells from WT and DCIR−/− derived BMDCs but not that of Fcr2b−/−-derived BMDCs. In conclusion, DCIR is important in regulating allergic airway inflammation and its presence is not essential for IVIg to function. DCIR appears to be required for normal regulation of pulmonary inflammation.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".