Innate Inflammatory Responses of Pediatric Cystic Fibrosis Airway Epithelial Cells
Why this work is in the frame
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Bibliographic record
Abstract
There is controversy regarding whether cystic fibrosis (CF) airway epithelial cells (AECs) are intrinsically proinflammatory. The objective of the current study was to characterize the inflammatory profiles of AECs from children with CF compared with cells from healthy control subjects. We obtained AECs from healthy children (12) and children with CF (27). Biochemical and functional characteristics were assessed by stimulating cells with IFNγ, LPS, a cocktail referred to as cytomix, which consists of IFNγ, IL-1β, TNF-α, and LPS, or with human rhinovirus (HRV). Cytokine production was assessed using ELISA. Apoptotic responses to HRV infection were measured via production of single-stranded DNA. Our results indicated that CF and healthy cells exhibited similar morphology in monolayer culture. CF cells constitutively produced greater amounts of IL-6, IL-1β, and prostaglandin E(2), but similar levels of IL-8 and soluble intracellular adhesion molecule-1 compared with healthy cells, and this profile was maintained through repeated passage. Stimulation with LPS or cytomix elicited similar levels of IL-8 in CF and non-CF cells. In contrast, exposure to HRV1b resulted in a marked increase in IL-8 production from CF compared with non-CF cells. CF cells also exhibited reduced apoptosis and increased viral replication compared with non-CF cells after exposure to HRV1b. We conclude that CF and healthy AECs have similar basal and stimulated expression of IL-8 in response to proinflammatory stimuli, but elevated IL-8 release in response to HRV infection. The elevated IL-8, together with dampened apoptotic responses by CF cells to HRV, could contribute to augmented airway inflammation in the setting of recurrent viral infections early in life.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it