A mouse GM-CSF receptor antibody attenuates neutrophilia in mice exposed to cigarette smoke
Bibliographic record
Abstract
We investigated the role of granulocyte-macrophage colony-stimulating factor (GM-CSF) in a subchronic exposure model of cigarette smoke (CS)-induced inflammation using antibodies directed against GM-CSF or the GM-CSF receptor (GM-CSFR) α-chain. CS-induced mononuclear and neutrophilic inflammation following 4 days of CS exposure in BALB/c mice was assessed in bronchoalveolar lavage (BAL) fluid. An increase in mature dendritic cells (DCs) (CD11c+ and major histocompatibility complex II+) and Gr-1-high neutrophils was also observed by flow cytometric analysis of whole-lung tissue. Daily i.p. injection of 400 μg GM-CSF or GM-CSFR antibody prior to daily smoke exposure attenuated the accumulation of neutrophils within the BAL by 60%. A reduction in mature DCs was also observed. Anti-GM-CSFR antibody administration did not have an effect on the percentage of lung T-cells; however, a significant decrease in activated CD69+ CD8+ T-cells was observed. Anti-GM-CSFR antibody administration decreased the mRNA and protein expression of interleukin-12 p40 and matrix metalloproteinase 12. Taken together, intervention with this receptor antibody implicates the GM-CSF pathway as an important mediator of smoke-induced 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".