Functionally important role for arginase 1 in the airway hyperresponsiveness of asthma
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Bibliographic record
Abstract
l-Arginine metabolism by the arginase and nitric oxide (NO) synthase (NOS) families of enzymes is important in NO production, and imbalances between these pathways contribute to airway hyperresponsiveness (AHR) in asthma. To investigate the role of arginase isozymes (ARG1 and ARG2) in AHR, we determined the protein expression of ARG1, ARG2, the NOS isozymes, and other proteins involved in l-arginine metabolism in lung tissues from asthma patients and in acute (3-wk) and chronic (12-wk) murine models of ovalbumin-induced airway inflammation. Expression of ARG1 was increased in human asthma, whereas ARG2, NOS isoforms, and the other l-arginine-related proteins (i.e., cationic amino acid transporters 1 and 2, agmatinase, and ornithine decarboxylase) were unchanged. In the acute murine model of allergic airway inflammation, augmentation of ARG1 expression was similarly the most dramatic change in protein expression. However, ARG2, NOS1, NOS2, and agmatinase were also increased, whereas NOS3 expression was decreased. Arginase inhibition in vivo with nebulized S-(2-boronoethyl)-l-cysteine attenuated the methacholine responsiveness of the central airways in mice from the acute model. Further investigations in the chronic murine model revealed an expression profile that more closely paralleled the human asthma samples: only ARG1 expression was significantly increased. Interestingly, in the chronic mouse model, which generates a remodeling phenotype, arginase inhibition attenuated methacholine responsiveness of the central and peripheral airways. The similarity in arginase expression between human asthma and the chronic model and the attenuation of AHR after in vivo treatment with an arginase inhibitor suggest the potential for therapeutic modification of arginase activity in asthma.
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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 | 0.000 |
| 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 it