Increased Ornithine-Derived Polyamines Cause Airway Hyperresponsiveness in a Mouse Model of Asthma
Bibliographic record
Abstract
Up-regulation of arginase contributes to airways hyperresponsiveness (AHR) in asthma by reducing L-arginine bioavailability for the nitric oxide (NO) synthase isozymes. The product of arginase activity, L-ornithine, can be metabolized into polyamines by ornithine decarboxylase. We tested the hypothesis that increases in L-ornithine-derived polyamines contribute to AHR in mouse models of allergic airways inflammation. After measuring significantly increased polyamine levels in sputum samples from human subjects with asthma after allergen challenge, we used acute and subacute ovalbumin sensitization and challenge mouse models of allergic airways inflammation and naive mice to investigate the relationship of AHR to methacholine and polyamines in the lung. We found that spermine levels were elevated significantly in lungs from the acute model, which exhibits robust AHR, but not in the subacute murine model of asthma, which does not develop AHR. Intratracheal administration of spermine significantly augmented airways responsiveness to methacholine in both naive mice and mice with subacute airways inflammation, and reduced nitrite/nitrate levels in lung homogenates, suggesting that the AHR developed as a consequence of inhibition of constitutive NO production in the airways. Chronic inhibition of polyamine synthesis using an ornithine decarboxylase inhibitor significantly reduced polyamine levels, restored nitrite/nitrate levels to normal, and abrogated the AHR to methacholine in the acute model of allergic airways inflammation. We demonstrate that spermine increases airways responsiveness to methacholine, likely through inhibition of constitutive NO synthesis. Thus, inhibition of polyamine production may represent a new therapeutic target to treat airway obstruction in allergic asthma.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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".