Cooperative regulation of GSK-3 by muscarinic and PDGF receptors is associated with airway myocyte proliferation
Bibliographic record
Abstract
Muscarinic receptors and platelet-derived growth factor (PDGF) receptors synergistically induce proliferation of airway smooth muscle (ASM), but the pathways that regulate these effects are not yet completely identified. We hypothesized that glycogen synthase kinase-3 (GSK-3), a kinase that represses several promitogenic signaling pathways in its unphosphorylated form, is cooperatively inhibited by PDGF and muscarinic receptors in immortalized human ASM cell lines. PDGF or methacholine alone induced rapid GSK-3 phosphorylation. This phosphorylation was sustained only for PDGF; however, methacholine potentiated PDGF-induced sustained GSK-3 phosphorylation. Synergistic effects of methacholine also were observed on PDGF-induced retinoblastoma protein (Rb) phosphorylation and cell proliferation. Suppression of GSK-3 inhibitory function using SB 216763 also augmented PDGF-induced Rb phosphorylation and cell cycle progression; this synergy was similar in magnitude to that seen for methacholine with PDGF. GSK-3 phosphorylation induced by methacholine required PKC, since it was abolished by GF 109203X and Gö 6976; however, inhibition of PKC had no effect on cell responses to PDGF. PKC inhibition also specifically abolished the synergistic effect of methacholine on PDGF-induced GSK-3 phosphorylation and cell proliferation. Collectively, these results show that GSK-3 plays a key repressive role in ASM cell proliferation. Moreover, muscarinic receptors mediate PKC-dependent GSK-3 inhibition, and this appears to be a primary mechanism underpinning augmentation of PDGF-induced cell 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 | 0.001 |
| 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 | 0.001 |
| 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".