Vascular smooth muscle cell phenotypic modulation and the extracellular matrix
Bibliographic record
Abstract
Intervascular stents provide clinical benefits in preventing occlusive coronary artery disease after angioplasty, but intimal hyperplasia and restenosis after stent implantation remains an unresolved problem.Vascular smooth muscle cells (VSMCs), the main component of medial layer of arteries, play an important role in neointimal hyperplasia.After arterial injury, quiescent, contractile VSMCs undergo a change in phenotype; they proliferate and migrate from the media to the intima.It has been shown that the extracellular matrix (ECM) plays a key role in tissue formation, homeostasis and repair.The adhesion, proliferation, and migration of VSMCs are strongly influenced by interaction with ECM components including proteoglycans, glycoproteins such as fibronectin, collagen, elastic fibers (laminae).This interaction is further diversified under the influence of multiple transmembrane receptors and matrix proteinases.Hence, the coordinated regulation of VSMC function by these matrix components is an essential process for controlling the development and remodeling of the vascular system.Here the role of ECM in VSMC phenotypic modulation and neointimal hyperplasia will be reviewed.
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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".