Cigarette Smoke Differently Alters Normal and Ovalbumin-Sensitized Bronchial Epithelial Cells from Rat
Bibliographic record
Abstract
BACKGROUND: Smoking is a common habit in the general population, even in asthmatic patients. Bronchial epithelial cells are the first cellular elements exposed to environmental stimuli such as cigarette smoke. These cells produce a wide range of mediators involved in inflammation and remodeling processes. However, the effects of chronic smoke exposure on the release and production of these mediators remain unclear. OBJECTIVES: To investigate the effects of repeated exposure to cigarette smoke extract on mediator released by bronchial epithelial cells isolated from control and asthmatic rats. METHODS: Bronchial epithelial cells were isolated from normal (NRBE) and asthmatic rats (ARBE) (ovalbumin (OVA)-sensitized rat). Cells were exposed to cigarette smoke extract (CSE) obtained by impacting cigarette smoke with an AGI-30. A concentration of 3% CSE was added in the medium daily, for 5 consecutive days. Supernatant was recovered at baseline and after the 5 days. Levels of macrophage chemoattractant protein (MCP)-1, interleukin (IL)-10, vascular endothelial growth factor (VEGF), tumor necrosis factor (TNF), IL-1alpha, and interferon (IFN)-gamma were measured using enzyme-linked immunosorbent assay (ELISA). RESULTS: TNF, IL-1alpha, and IFN-gamma were lower than the detection limit of our methods. At the baseline, NRBE produced less MCP-1 but more IL-10 and VEGF when compared with ARBE. CSE exposure reduced NRBE IL-10 production but did not significantly alter MCP-1 and VEGF production. Interestingly, bronchial epithelial cells of asthmatic rats responded differently to CSE. MCP-1 level was decreased and VEGF increased after CSE exposure, whereas IL-10 level did not change in ARBE. CONCLUSION: Cells isolated from asthmatic rats produced distinct levels of mediators compared with cells isolated from control rats. Furthermore, these cells react differently to CSE exposure.
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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 | 0.001 |
| 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) | 0.002 | 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".