Side-specific mechanical properties of valve endothelial cells
Bibliographic record
Abstract
Aortic valve endothelial cells (ECs) function in vastly different levels of shear stress. The biomechanical characteristics of cells on each side of valve have not been investigated. We assessed the morphology and mechanical properties of cultured or native valve ECs on intact porcine aortic valve cusps using a scanning ion conductance microscope (SICM). The autocrine influence of several endothelial-derived mediators on cell compliance and the expression of actin were also examined. Cells on the aortic side of the valve are characterized by a more elongated shape and were aligned along a single axis. Measurement of EC membrane compliance using the SICM showed that the cells on the aortic side of intact valves were significantly softer than those on the ventricular side. A similar pattern was seen in cultured cells. Addition of 10(-6) M of the nitric oxide donor sodium nitroprusside caused a significant reduction in the compliance of ventricular ECs but had no effect on cells on the aortic side of the valve. Conversely, endothelin-1 (10(-10)-10(-8) M) caused an increase in the compliance of aortic cells but had no effect on cells on the ventricular side of the valve. Aortic side EC compliance was also increased by 10(-4) M of the nitric oxide synthase inhibitor NG-nitro-L-arginine methyl ester. Immunofluorescent staining of actin filaments revealed a great density of staining in ECs on the ventricular surface. The expression of actin and the relative membrane compliance of ECs on both side of the valve were not affected by ventricular and aortic patterns of flow. This study has shown side-specific differences in the biomechanics of aortic valve ECs. These differences can have important implications for valve function.
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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".