Ibuprofen Modulates NF-ĸB Activity but Not IL-8 Production in Cystic Fibrosis Respiratory Epithelial Cells
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Bibliographic record
Abstract
BACKGROUND: High-dose ibuprofen is clinically effective in cystic fibrosis (CF); however, its molecular mechanisms are poorly understood. OBJECTIVE: To test the hypothesis that clinically relevant concentrations of ibuprofen suppress activation of nuclear factor (NF)-kappaB and thus down-regulate stimulated interleukin (IL)-8 production in CF respiratory epithelial cells. METHODS: The majority of experiments were conducted in CFTE29o- cells (F508del-mutated CF transmembrane regulator, CFTR). Key experiments were confirmed in CFBE41o- cells (F508del-mutated CFTR) and 1HAEo- cells (wild-type CFTR). NF-kappaB and IL-8 were stimulated with tumour necrosis factor (TNF)-alpha or IL-1beta. NF-kappaB and IL-8 suppression by ibuprofen (480 microM) was compared to dexamethasone (5 nM). RESULTS: Both TNF-alpha and IL-1beta activated NF-kappaB and stimulated IL-8 production. Both ibuprofen and dexamethasone demonstrated comparably modest suppression of NF-kappaB transcriptional activity. However, ibuprofen had no effect on stimulated IL-8 mRNA and protein. By contrast, dexamethasone significantly down-regulated stimulated IL-8 mRNA and protein. CONCLUSIONS: The present data do not support the hypothesis that ibuprofen down-regulates IL-8 production in response to TNF-alpha and IL-1beta in CF respiratory epithelium. Suppression of NF-kappaB transcriptional activity does not discriminate between anti-inflammatory drugs with or without effects on IL-8 production. We speculate that NF-kappaB-independent mechanisms may be responsible for anti-IL-8 effects of dexamethasone.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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