Bibliographic record
Abstract
Decorin, is an extracellular matrix proteoglycan with important biological functions. Decorin deficiency affects collagen fibrillogenesis, airway mechanics, airway-parenchymal interdependence, and airway smooth muscle proliferation and apoptosis. We questioned whether decorin deficiency would alter allergen-induced asthma in a mouse model. Decorin-/- and decorin+/+ mice (C57Bl/6) were sensitized and challenged with ovalbumin. Control animals received saline. Responsiveness was assessed at baseline and after delivery of increasing concentrations of methacholine. Histological analyses were also performed. Decorin deficiency resulted in more modest hyperresponsiveness. Respiratory resistance and elastance along with tissue damping and tissue elastance, were increased in ovalbumin decorin +/+ and decorin-/-, but more so in decorin+/+ . Airway resistance was increased in ovalbumin decorin+/+ only. Inflammation and collagen staining within the airway wall, were increased in ovalbumin decorin+/+ mice only; whereas biglycan was significantly increased in ovalbumin decorin-/- mice only. These results reflect the role of decorin in the development of allergen-induced asthma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".