Micropatterning Polymer Materials to Improve Endothelialization
Bibliographic record
Abstract
Several studies have shown that 65 % of expanded poly (tetrafluoroethylene) (ePTFE) vascular prostheses had to be explanted within 10 years of implantation in humans. The reasons for these explantations relied on thrombosis formation and poor hemocompatibility of synthetic polymers. It has been shown that surface modification of ePTFE arterial prostheses could enable their endothelialization therefore improving their biocompatibility and hemocompatibility. Indeed, endothelial cells naturally cover the biological blood vessel wall and consequently, an endothelial layer constitutes the best achievable hemocompatible surface. In this context, our strategy consisted in micropatterning cell adhesion (RGD) and proliferation (WQPPRARI) peptides on the surface of plasma-functionalized PTFE, therefore enabling covalent conjugation of the peptides. Basically, the technology consisted in spraying a solution of the adhesion peptide, therefore leading to 10 µm-diameter RGD spots semi-randomly distributed over the sample and covering 20 % of the whole polymer surface. In a second step, proliferation peptide was applied to the remaining surface by soaking, therefore covering the unreacted surface. The 20 % coverage was obtained by using an x-y table, programmed to move from side to side of the surface on x value, with an increment on y value that has been calibrated.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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; both teacher heads agree on what is shown here.
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".