Fluid Shear Stress Reduces Simvastatin Induced Adhesion Molecule Expression in Cytokine Activated Endothelial Cells
Bibliographic record
Abstract
Although originally designed as inhibitors of cholesterol biosynthesis, 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, or statins, are now known to also have non-lipid lowering benefits [1]. Statins have been reported to modulate gene expression in endothelial cells, however, the effect of statins on adhesion molecule expression is contradictory. Some studies report a decrease in adhesion molecule mRNA and/or protein after statin treatment [2], while others have shown that statins potentiate the effect of tumor necrosis factor alpha (TNFα) [3]. To the best of our knowledge, the effects of statins on gene expression in cultured endothelial cells has been done in static conditions only and no study has examined the effect of blood flow. This is particularly important since fluid shear stress is a strong regulator of endothelial cell function and phenotype [4]. The purpose of this study was to clarify the effects of statins on vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) expression in endothelial cells by evaluating their biological response under fluid flow.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".