Repair of the injury to respiratory epithelial cells characteristic of asthma is stimulated by<i>Allomyrina dichotoma</i>agglutinin specific serum glycoproteins
Bibliographic record
Abstract
BACKGROUND: The airway epithelium acts as a protective barrier, separating the external environment from the underlying tissue. Daily challenges result in damage to the epithelium that, in normal individuals, is quickly and effectively repaired. In respiratory diseases, such as asthma, this repair is compromised. Following injury to the epithelium, plasma leaks into the airway lumen acting as a protective protein cap. Carbohydrates are mediators of epithelial repair, however, the associated regulatory proteins remain unknown. OBJECTIVE: To identify mediators of epithelial repair based on their carbohydrate moieties using an in vitro wound repair culture model of human airway epithelial cells (1HAEo(-)). METHODS: Using the lectin Allomyrina dichotoma agglutinin (AlloA) as a tool, ligands essential in the repair of damaged epithelium were characterized. AlloA was subsequently used to purify and identify a glycoprotein associated with epithelial repair. RESULTS: The addition of AlloA to the media of mechanically wounded monolayers inhibited repair. Fetuin, a highly glycosylated serum protein, was identified as a glycoprotein bound by AlloA. The addition of fetuin to serum starved monolayers stimulated wound closure. CONCLUSION: These results indicate that following mechanical injury to the epithelium, serum glycoproteins, not only provide a protective barrier, but also are involved in the initiation of wound closure.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".