The PPAR-γ agonist pioglitazone exerts proinflammatory effects in bronchial epithelial cells during acute <i>Pseudomonas aeruginosa</i> pneumonia
Bibliographic record
Abstract
Pseudomonas aeruginosa is a common respiratory pathogen that causes injurious airway inflammation during acute pneumonia. Peroxisome proliferator-activated receptor (PPAR)-γ is involved in the regulation of metabolic and inflammatory responses in different cell types and synthetic agonists of PPAR-γ exert anti-inflammatory effects on myeloid cells in vitro and in models of inflammation in vivo. We sought to determine the effect of the PPAR-γ agonist pioglitazone on airway inflammation induced by acute P. aeruginosa pneumonia, focusing on bronchial epithelial cells. Mice pretreated with pioglitazone or vehicle (24 and 1 h) were infected with P. aeruginosa via the airways. Pioglitazone treatment was associated with increased expression of chemokine (Cxcl1, Cxcl2, and Ccl20) and cytokine genes (Tnfa, Il6, and Cfs3) in bronchial brushes obtained 6 h after infection. This pro-inflammatory effect was accompanied by increased expression of Hk2 and Pfkfb3 genes encoding rate-limiting enzymes of glycolysis; concurrently, the expression of Sdha, important for maintaining metabolite flux in the tricarboxylic acid cycle, was reduced in bronchial epithelial cells of pioglitazone treated-mice. Pioglitazone inhibited bronchoalveolar inflammatory responses measured in lavage fluid. These results suggest that pioglitazone exerts a selective proinflammatory effect on bronchial epithelial cells during acute P. aeruginosa pneumonia, possibly by enhancing intracellular glycolysis.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".