Lung Epithelial CCAAT/Enhancer-binding Protein-β Is Necessary for the Integrity of Inflammatory Responses to Cigarette Smoke
Bibliographic record
Abstract
RATIONALE: Cigarette smoke is the major cause of chronic obstructive pulmonary disease and lung cancer. The mechanisms by which smoking induces pulmonary dysfunction are complex, involving stress from toxic components and inflammatory responses. Although CCCAAT/enhancer-binding protein (C/EBP)-β is known as a key intracellular regulator of inflammatory signaling, its role in pulmonary inflammation has not been established. OBJECTIVES: To characterize the role of C/EBPβ in the airway epithelial response to cigarette smoke. METHODS: mRNA expression in the airway epithelium of current, former, and never-smokers, and in in vitro cigarette smoke extract-treated primary human airway epithelial cells, was analyzed by microarray and quantitative real-time polymerase chain reaction, respectively. Mice with lung epithelial-specific inactivation of C/EBPβ were generated and exposed to cigarette smoke for 4 or 11 days. Lung histology, bronchoalveolar lavage cell differentials, and expression of inflammatory and innate immune mediators in the lungs were assessed. MEASUREMENTS AND MAIN RESULTS: C/EBPβ was significantly down-regulated in the airway epithelium of both current and former smokers compared with never-smokers, and in cigarette smoke-treated primary human airway epithelial cells in vitro. Cigarette smoke-exposed mice with a lung epithelial-specific inactivation of C/EBPβ displayed blunted respiratory neutrophil influx and compromised induction of neutrophil chemoattractants growth-regulated oncogene-α, macrophage inflammatory protein-1γ, granulocyte colony-stimulating factor, and serum amyloid A 3 and proinflammatory cytokines tumor necrosis factor-α and interleukin-1β, compared with smoke-exposed controls. Inhibition of C/EBPβ in human airway cells in vitro caused a similarly compromised response to smoke. CONCLUSION: Our data suggest a previously unknown role for C/EBPβ and the airway epithelium in mediating inflammatory and innate immune responses to cigarette smoke.
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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 | 0.000 | 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".