Development of a Polyester Coating Combining Antithrombogenic and Cell Adhesive Properties: Influence of Sequence and Surface Density of Adhesion Peptides
Bibliographic record
Abstract
Biofunctionalization strategies have been developed to improve small-diameter vascular grafts. However, a fully successful coating featuring antithrombogenic properties while allowing for endothelialization has not been achieved yet. In this report, we explored the combination of low-fouling polyethylene glycol (PEG) and adhesion peptides, namely, RGD, YIGSR, and REDV, grafted on top of polyvinylamine (PVAm)-coated polyester. The peptides were grafted over a wide range of density (ca. 20-2000 pmol/cm(2)) on top of a dense PEG underlayer. The coating performances were assessed through HUVEC adhesion, platelet attachment, and protein adsorption, which were all drastically diminished on PEG-coated samples. RGD exhibited the expected high adhesive properties, toward both HUVEC and platelets. REDV had no effect neither on platelet attachment, as expected, nor on HUVEC adhesion, in contrast with previous reports. YIGSR was the most promising sequence even though its combination with other agents should be explored to further decrease thrombogenicity for vascular graft applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".