Low-dose theophylline restores corticosteroid responsiveness in rats with smoke-induced airway inflammation
Bibliographic record
Abstract
Patients with chronic obstructive pulmonary disease (COPD) respond poorly to corticosteroids. Histone deacetylase-2 (HDAC-2) plays a pivotal role in many cases of steroid insensitivity. The main aim of this study was to restore the smoking-induced reduction in corticosteroid sensitivity by increasing HDAC-2 activity using low-dose theophylline. Rats were exposed to cigarette smoke (CS) and treated with budesonide and two doses of theophylline. Besides the pathologic examination and cell counting in the bronchoalveolar lavage fluid (BALF), the expression of HDAC-2 and CXC chemokine ligand-8 (CXCL-8) were measured. Airway inflammation induced by CS was demonstrated by pathologic changes of lung tissue and increased level of CXCL-8. CS exposure also markedly decreased HDAC-2 expression. Moreover, a negative correlation was found between HDAC-2 activity and a lung destruction index. The index was restored to control levels with inhaled corticosteroid treatment in combination with a low, not a high, dose of theophylline. These results indicate that low-dose theophylline might provide protection from smoke damage and improve the anti-inflammatory effects of steroids by increasing HDAC-2 activity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".