Src-Dependent Erk1/2-Mediated Signaling Pathways and Associated Ang Ii-Stimulated Growth Responses Are Altered in Vascular Smooth Muscle Cells from Arteries of Hypertensive Patients.
Bibliographic record
Abstract
P154 Molecular mechanisms underlying vascular remodeling in human hypertension are unclear. We investigated c-Src and ERK1/2 activity, proto-oncogene expression, activating protein 1 (AP-1) DNA-binding activity, and DNA and protein synthesis in Ang II-stimulated vascular smooth muscle cells (VSMC) derived from small peripheral arteries from normotensive subjects (NT) (n=5) and age-matched untreated hypertensive patients (HT) (n=10). The media and media:lumen ratio were greater (p<0.05) in arteries from HT than NT, indicating vascular remodeling. Ang II-dose-dependently increased synthesis of DNA and protein, with enhanced effects (p<0.01) in VSMCs from HT. PD98059, a selective inhibitor of the ERK1/2 pathway, attenuated (p<0.01) Ang II-stimulated growth. PD98059 effects were greater in HT than NT. In NT, Ang II transiently increased ERK1/2 phosphorylation. In HT, Ang II-stimulated ERK1/2 activation was significantly augmented (p<0.05 vs NT) and sustained. PP2, a selective Src inhibitor, reduced ERK1/2 activity and normalized responses in HT. Ang II-induced c-Src phosphorylation was 2-3 fold greater in HT than NT. In HT, kinase activation was followed by overexpression of c-fos mRNA and enhanced AP-1 DNA-binding activity. PD98059 attenuated these responses. In HT cells transfected with c-fos antisense oligodeoxynucleotide (ODN), Ang II-stimulated DNA synthesis was reduced compared with sense ODN. These novel findings suggest that vascular remodeling is associated with augmented Ang II-stimulated VSMC growth, which is mediated via hyperactivation of c-Src-regulated, ERK1/2-dependent pathways leading to overexpression of c-fos mRNA and enhanced AP-1 DNA-binding activity. Our data define a signal transduction pathway in VSMCs that could contribute to structural changes and vascular remodeling in essential hypertension.
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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".