Effects of decorin and biglycan on human airway smooth muscle cell proliferation and apoptosis
Bibliographic record
Abstract
Proteoglycans (PG) are altered in the asthmatic airway wall. Because PGs are known to affect cell proliferation and apoptosis, we hypothesized that alterations in PG might influence the airway smooth muscle (ASM) hyperplasia observed in the asthmatic airway. Human ASM cells were seeded on plastic or plates coated with decorin (Dcn), biglycan (Bgn), or collagen type I (Col I) (1, 3, and 10 microg/ml). Cells were stimulated with platelet-derived growth factor (PDGF), and cell number was assessed at 0, 48, and 96 h. Cell proliferation was measured by bromodeoxyuridine (BrdU) incorporation and apoptosis by annexin V and propidium iodide staining at 48 h post-PDGF stimulation. A significant decrease in cell number was observed with cells seeded on Dcn (10 microg/ml) at 0, 48, and 96 h (P < 0.01). Dcn induced both decreases in BrdU incorporation and increases in annexin V staining (P < 0.05). Bgn decreased cell number at time 0 only (P < 0.05) and affected neither proliferation nor apoptosis. Col I (10 mug/ml) caused a significant increase in cell number at 48 and 96 h (P < 0.01). Adding exogenous Dcn (1-30 microg/ml) to the medium had no effect on cell number. Exposing Dcn-coated matrices to chondroitinase ABC, an enzyme that degrades glycosaminoglycan side chains, reversed the Dcn-induced decrease in cell number. These studies demonstrate that different PGs have variable effects on ASM cell proliferation and apoptosis. Recently described decreases in Dcn in the asthmatic airway wall could potentially permit more exuberant ASM growth.
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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 | 0.000 | 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 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".