The role of shear stress on mechanically stimulated engineered vascular substitutes: influence on mechanical and biological properties
Bibliographic record
Abstract
Vascular tissue engineering represents a promising field in the replacement of diseased vessels. The biological properties of three-dimensional (3D) collagen scaffolds indicate this material as a valid choice for vascular tissue engineering. Unfortunately, mechanical properties still remain unsatisfactory, due to a low burst pressure resistance and a plastic deformation. The use of a bioreactor to apply appropriate mechanical stresses have already shown a remodelling effect on the extracellular matrix and the behaviour of cells. In this study, we have shown the effect of the mechanical stress on elastin synthesis, which has a direct effect on the mechanical properties of the tissue-engineered vessel. We measured and compared the stress-strain curves, the elastic modulus and tenacity of a collagen tubular scaffold in the presence of C2C12 murine myoblasts cells, before and after the maturation in the bioreactor, applying a shear stress of 5 dynes/cm(2) for 3 days. Interesting evidence concerning the extracellular matrix structure, which significantly modify the biomechanical characteristics of the cellular scaffold, were observed, underlying the importance of focusing more effort in the research field of physiologically-guided 3D tissue-engineered substitutes.
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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".