Adenoviral E1A primes alveolar epithelial cells to PM<sub>10</sub>-induced transcription of interleukin-8
Bibliographic record
Abstract
The presence of the adenoviral early region 1A (E1A) protein in human lungs has been associated with an increased risk of chronic obstructive pulmonary disease (COPD), possibly by a mechanism involving amplification of proinflammatory responses. We hypothesize that enhanced inflammation results from increased transcription factor activation in E1A-carrying cells, which may afford susceptibility to environmental particulate matter < 10 microm (PM(10))-mediated oxidative stress. We measured interleukin (IL)-8 mRNA expression and protein release in human alveolar epithelial cells (A549) transfected with the E1A gene (E1A+ve). Both E1A+ve and -ve cells released IL-8 after incubation with TNF-alpha, but only E1A+ve cells were sensitive to LPS stimulation in IL-8 mRNA expression and protein release. E1A+ve cells showed an enhanced IL-8 mRNA and protein response after treatment with H(2)O(2) and PM(10). E1A-enhanced induction of IL-8 was accompanied by increases in activator protein-1 and nuclear factor-kappa B nuclear binding in E1A+ve cells, which also showed higher basal nuclear binding of these transcription factors. These data suggest that the presence of E1A primes the cell transcriptional machinery for oxidative stress signaling and therefore facilitates amplification of proinflammatory responses. By this mechanism, susceptibility to exacerbation of COPD in response to particulate air pollution may occur in individuals harboring E1A.
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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 | 0.001 |
| 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".