?8?1 Integrin expression in the rat carotid artery: involvement in smooth muscle cell migration and neointima formation
Bibliographic record
Abstract
OBJECTIVE: Migration of vascular smooth muscle cells (VSMCs) from the tunica media to the intima is a key event in neointima formation after coronary artery angioplasty. The central dogma in VSMC migration is cell modulation from the contractile to the noncontractile phenotype. Increased alpha8beta1 integrin expression, observed in situations where the majority of cells are in the contractile phenotype, led us to hypothesize that a decrease of alpha8beta1 integrin may play an important role in the migratory state of VSMCs. METHODS AND RESULTS: To test this hypothesis, neointima formation was induced in the left common carotid artery of adult male Sprague-Dawley rats by balloon dilatation. Immunohistochemical and Western blotting analysis showed reduced expression for up to 4 weeks of both the alpha8 and beta1 integrin subunits as well as smooth muscle alpha-actin in the tunica media following balloon injury. Moreover, ex vivo culture of carotid VSMCs revealed diminished alpha8 integrin expression in the platelet-derived growth-factor-dependent migratory state with an increase in the angiotensin-II-induced contractile state. To ascertain the functional role of alpha8 integrin in VSMC migration and proliferation, alpha8 gene expression was reduced by nearly 70% by short interference RNA (siRNA). Decreased alpha8 expression resulted in a significant increase of carotid VSMC migration but not of proliferation. CONCLUSIONS: Our results are consistent with those of other studies demonstrating that alpha8 integrin could be used as an appropriate differentiation marker. In addition, depressed alpha8 integrin expression (after vascular injury or siRNA knockdown) was correlated with heightened cell migratory activity, demonstrating its potential role in neointima formation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".