Regression of Neointimal Lesions in the Carotid Artery of Nifedipine-Treated SHR and WKY Rats: Possible Role of Apoptosis
Bibliographic record
Abstract
We previously observed that nifedipine reduces aortic hypertrophy in spontaneously hypertensive rats (SHR) partly by inducing smooth muscle cell (SMC) apoptosis. The present study examined nifedipine regulation of SMC apoptosis in carotids with or without a neointima. A neointima was produced by endothelial denudation of the left carotid of SHR and WKY rats. The contralateral carotid remained uninjured. Beginning at week 6 after injury, rats received nifedipine or placebo for 5 and 7 additional weeks. In situ terminal deoxynucleotidyl transferase (TdT)-mediated DNA labeling was used to mark apoptotic nuclei. Nifedipine reduced blood pressure in SHR but not WKY rats. Nifedipine had antihypertrophic effects in both SHR and WKY rats. In each strain, the greater reduction in cross-sectional area was seen in the neointima. In this tissue, nifedipine significantly increased TdT-positive SMC (4-fold at week 5 in SHR and 5-fold at week 7 in WKY rats) and reduced SMC number (70% in SHR and 29% in WKY rats) at week 7 compared to week 0. The effects were less pronounced in the injured and uninjured media. Thus, the antihypertrophic action of nifedipine is amplified in the neointima of SHR and WKY rat carotids, where histological evidence suggests SMC deletion via apoptosis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".