Augmented cell cycle protein expression and kinase activity in atherosclerotic rabbit vessels.
Bibliographic record
Abstract
Cell proliferation within a primary atherosclerotic plaque is controversial. Identifying changes in cell cycle protein expression and the activities of their related kinases would provide valuable evidence of mitotic activity in the atherosclerotic lesion. Oxidized low-density lipoprotein has been shown to induce a significant increase in the total number of rabbit vascular smooth muscle cells in culture. In the present study, whole aortic cell extracts were harvested from rabbits fed a cholesterol-supplemented diet for eight weeks to induce modest plaque development, or 16 weeks to induce later, more severe plaque progression. Expression levels of cyclin A, cyclin-dependent kinase 4 (Cdk 4) and proliferating cell nuclear antigen were measured, as well as the activities of Cdk 4, Cdk 2 and Cdk 1. At both time points, the expression levels of cyclin A, Cdk 4 and proliferating cell nuclear antigen were significantly elevated. The activity of all three Cdks was also increased. There were no significant differences between moderate and more severe atherosclerosis. Surprisingly, tissues that neighboured the plaques, but did not show visible plaque formation on the vessel surface, also had significantly elevated cyclin A expression levels, but not as high as in the plaque areas. In conclusion, the primary atherosclerotic plaque exhibited elevated mitotic activity as shown by increased expression levels and activities of several cell cycle proteins. Expression levels were similar during moderate and severe atherosclerosis, and were even detected in nonatherosclerotic vascular tissue bordering the plaque.
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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 | 0.001 | 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 | 0.000 |
| 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".