Wnt3a/beta‐catenin increases proliferation in valve interstitial cells
Bibliographic record
Abstract
Background Valve interstitial cells (VICs) mediate valve function in health and disease. It is suggested that valve repair processes are regulated by developmental pathways. We hypothesize that Wnt3a increases the amount of stabilized β‐catenin present in VICs, which then results in its nuclear translocation and subsequent increase in proliferation. Methods Porcine VIC cultures were maintained in standard media in 10% fetal bovine serum. Cultures were plated, grown to 4–6% confluence, then incubated with 100 ng/ml of exogenous Wnt3a for 3 days, and counted to measure proliferation. VICs were stained with antibody against β‐catenin. Whole cell, cytoplasmic and nuclear levels of β‐catenin were determined using Western blot. Results VICs treated with Wnt3a show increased cell number compared to control and vehicle‐treated cultures. Immunofluorescent images of Wnt3a‐treated VICs show slightly increased β‐catenin staining compare to control and vehicle‐treated cultures. Whole cell, cytoplasmic, and nuclear lysates of Wnt3a‐treated VICs show increased levels of β‐catenin compared to control and vehicle‐treated cultures. Conclusion Wnt3a may increase VIC proliferation through an increase in β‐catenin. Supported by the Heart and Stroke Foundation of Ontario (grant NA6204) and Canadian Institute of Health Research (grant 84228).
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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) | 0.003 | 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".