Alveolar macrophages express membrane CD200 that inhibits mast cell activation
Bibliographic record
Abstract
Alveolar Macrophages are central regulators of pulmonary immune responses, yet their regulatory functions are misunderstood. CD200, a transmembrane protein, and its receptor (CD200R) play a critical role in the resolution of inflammation, but their role in asthma is still unclear. CD200 is expressed on many cell types such as leukocytes, T cells, B cells, epithelial cells, and endothelial cells, while CD200R is expressed exclusively on myeloid cells including alveolar macrophages (AM) and mast cells (MC), which play a key role in asthma. Recent study showed that leukocytes from asthmatic patients express lower level of CD200 during exacerbations, suggesting a dysregulation of CD200 pathway. Thus, we investigated the modulation of CD200 expression on AM following allergen challenge and the inhibition of MC functions by AM CD200. Expression of CD200 and CD200R were measured on AM from naive and sensitized rats before and after allergen challenge using flow cytometry. AM modulation of antigen‐stimulated MC was investigated in vitro using co‐culture and MC degranulation and cytokine production. AM from naive and sensitized rats express similar level of CD200. However, allergen exposure increased CD200 expression on AM of naïve rats (that do not develop signs of asthma), but not on AM of sensitized rats (that develop experimental asthma). No difference between groups was observed for CD200R expression. Naive AM inhibited antigen‐stimulated MC degranulation and cytokine production. The addition of neutralizing anti‐CD200R antibody abrogated AM inhibitory effects. These results suggest that modulation of CD200 expression on AM could have an important role in asthma regulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 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".