Modification of the rat airway explant transcriptome by cigarette smoke
Bibliographic record
Abstract
Although a number of animal model studies have addressed changes in gene expression in the parenchyma and their relationship to emphysema, much less is known about the pathogenesis of cigarette smoke-induced small airway remodeling. In this study the authors exposed rat tracheal explants, a model of the airway wall, to whole smoke for 15 min, and then cultured the explants in air. The airway transcriptome was evaluated using RAE 230_2 gene chips. By 2 h after starting smoke exposure, expression levels of 502 genes were differentially expressed by more than 1.5 times (p < .01 or less) and by 24 h 1870 genes were significantly changed up or down. These included genes involved in antioxidant protection, epithelial defense and remodeling, inflammatory mediators and transcription factors, and a number of unexpected genes, including the matrix metalloproteinase (MMP)-12 inducer, tachykinin-1 (substance P). Pretreatment of the explants with 1 x 10(-7) M dexamethasone reduced the number of significantly changed genes by approximately 47% at 2 h and 68% at 24 h and in almost all instances reduced the magnitude of the smoke-induced changes. The authors conclude that even a very brief exposure to cigarette smoke can lead to rapid changes in the expression of a large number of genes in rat tracheal explants, and that these effects are directly mediated by smoke, without a need for exogenous inflammatory cells. Steroids, contrary to the usual belief, are able to ameliorate many of these changes, at least in this very acute model.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".