N-Cadherin–Dependent Cell–Cell Contacts Promote Human Saphenous Vein Smooth Muscle Cell Survival
Bibliographic record
Abstract
OBJECTIVE: Vascular smooth muscle cell (VSMC) apoptosis is thought to contribute to atherosclerotic plaque instability. Cadherin mediates calcium-dependent homophilic cell-cell contact. We studied the role of N-cadherin in VSMC apoptosis. METHODS AND RESULTS: Human saphenous vein VSMCs were grown in agarose-coated wells to allow cadherin-mediated aggregate formation. Cell death and apoptosis were determined after disruption of cadherins using several approaches (n> or =3 per approach). Calcium removal from culture medium or addition of nonspecific cadherin antagonist peptides significantly decreased aggregate formation and increased cell death by apoptosis (34+/-6% versus 75+/-1% and 19+/-1% versus 40+/-5%, respectively; P<0.05). Specific inhibition of N-cadherin using antagonists and neutralizing antibodies similarly increased apoptosis. Supporting this, overexpression of full-length N-cadherin significantly reduced VSMC apoptosis from 44+/-10% to 20+/-3% (P<0.05), whereas abolishing N-cadherin expression by overexpression of a dominant-negative N-cadherin significantly, even in the presence of cell-matrix contacts, increased apoptosis from 9+/-2% to 50+/-1% (P<0.05). Interestingly, cell-cell contacts provided a similar degree of protection from apoptosis to cell-matrix contacts. Finally, N-cadherin-mediated cell-cell contacts initiated anti-apoptotic signaling by increasing Akt and Bad phosphorylation. CONCLUSIONS: Our results indicate that VSMC survival is dependent on N-cadherin-mediated cell-cell contacts, which could be important in the context of plaque instability.
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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".