The Role of IκB Kinase 2, but Not Activation of NF-κB, in the Release of CXCR3 Ligands from IFN-γ-Stimulated Human Bronchial Epithelial Cells
Bibliographic record
Abstract
The severity of chronic obstructive pulmonary disease correlates with increased numbers of cytotoxic CD8(+) T lymphocytes in the lung parenchyma. CD8(+) T lymphocytes release IFN-gamma which stimulates airway epithelial cells to produce CXCR3 chemokines leading to further recruitment of CD8(+) T lymphocytes. To evaluate the signaling pathways involved in regulation of CXCR3 ligands, the human bronchial epithelial cell line BEAS-2B was stimulated with IFN-gamma and the release of the CXCR3 ligands was measured by ELISA. The release of CXCL9, CXCL10, and CXCL11 was inhibited by an IkappaB kinase 2 (IKK2) selective inhibitor 2-[(Aminocarbonyl)amino]-5-[4-fluorophenyl]-3-thiophenecarboxamide (TPCA-1) (EC(50) values were 0.50 +/- 0.03, 0.17 +/- 0.06, and 0.45 +/- 0.10 microM, respectively (n = 6)) and an IKK1/2 selective inhibitor 2-amino-6-(2'cyclopropylemethoxy-6'-hydroxy-phenyl)-4-piperidin-3-yl-pyridine-3-carbonitrile (EC(50) values 0.74 +/- 0.40, 0.27 +/- 0.06, and 0.88 +/- 0.29 microM, respectively (n = 6)). The glucocorticosteroid dexamethasone had no effect on CXCR3 ligand release. The release of CXCL10 was most sensitive to inhibition by IKK2 and a role for IKK2 in CXCL10 release was confirmed by overexpression of dominant-negative adenoviral constructs to IKK2 (68.2 +/- 8.3% n = 5), but not of IKK1. Neither phosphorylation of IkappaBalpha, translocation of p65 to the nucleus, or activation of a NF-kappaB-dependent reporter (Ad-NF-kappaB-luc) were detected following stimulation of BEAS-2B cells with IFN-gamma. These data suggest that IKK2 is also involved in the IFN-gamma-stimulated release of the CXCR3 ligands through a novel mechanism that is independent NF-kappaB.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".