Dual Role of NOX2 in Respiratory Syncytial Virus- and Sendai Virus-Induced Activation of NF-κB in Airway Epithelial Cells
Bibliographic record
Abstract
Human respiratory syncytial virus (RSV), a member of the Paramyxoviridae family, is the most important viral agent of pediatric respiratory tract disease worldwide. Human airway epithelial cells (AEC) are the primary targets of RSV. AEC are responsible for the secretion of a wide spectrum of cytokines and chemokines that are important mediators of the exacerbated airway inflammation triggered by the host in response to RSV infection. NF-kappaB is a key transcription factor responsible for the regulation of cytokine and chemokine gene expression and thus represents a potential therapeutic target. In the present study, we sought to delineate the role of RSV-induced reactive oxygen species in the regulation of the signaling pathways leading to NF-kappaB activation. First, we demonstrate that besides the well-characterized IkappaBalpha-dependent pathway, phosphorylation of p65 at Ser(536) is an essential event regulating NF-kappaB activation in response to RSV in A549. Using antioxidant and RNA-interference strategies, we show that a NADPH oxidase 2 (NOX2)-containing NADPH oxidase is an essential regulator of RSV-induced NF-kappaB activation. Molecular analyses revealed that NOX2 acts upstream of both the phosphorylation of IkappaBalpha at Ser(32) and of p65 at Ser(536) in A549 and normal human bronchial epithelial cells. Similar results were obtained in the context of infection by Sendai virus, thus demonstrating that the newly identified NOX2-dependent NF-kappaB activation pathway is not restricted to RSV among the Paramyxoviridae. These results illustrate a previously unrecognized dual role of NOX2 in the regulation of NF-kappaB in response to RSV and Sendai virus in human AEC.
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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 | 0.000 |
| 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".