Genetic deletion of IL-17A reduces cigarette smoke-induced inflammation and alveolar type II cell apoptosis
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder marked by relative resistance to steroids. Inflammation and apoptosis have been suggested to be important mechanisms for COPD. Interleukin (IL)-17 superfamily has been associated with chronic inflammation and diminished responses to steroids. It is reasonable to consider that IL-17 may play a role in the pathogenesis of COPD. In this study, we examined IL-17 expression in mice exposed to cigarette smoke (CS) and investigated the contribution of IL-17 to CS-induced inflammation and alveolar cell apoptosis in IL-17(-/-) mice. After exposing wild-type and IL-17(-/-) mice to mainstream CS for 4 wk, IL-17A, but not IL-17F, expression was increased in mice upon CS exposure. Neutrophil infiltration in the lungs of IL-17(-/-) mice was significantly decreased. In IL-17(-/-) mice, there is reduced expression of IL-6, macrophage inflammatory protein-2, and matrix metalloproteinase-12 compared with wild-type mice after CS exposure. The number of apoptotic type II alveolar cells was significantly increased in CS-exposed wild-type mice but not in IL-17(-/-) mice. The effect of IL-17A on type II alveolar cell apoptosis was confirmed in vitro through either addition of IL-17A or transient knockdown of IL-17A by small-interfering RNA transfection in type II alveolar cells. These findings suggest that IL-17A plays an important role in the inflammatory response to CS exposure through increased multiple inflammatory mediators. Moreover, IL-17 may also contribute to type II alveolar cell apoptosis. This study opens a new option in targeting IL-17A to modulate inflammatory response to CS and may be the bases for new therapy for COPD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".