Biocompatibility of PLGA/sP(EO-stat-PO)-Coated Mesh Surfaces under Constant Shearing Stress
Bibliographic record
Abstract
BACKGROUND: In order to allow inflammatory response modification and ultimately improvement in tissue remodeling, we developed a new surface modification for meshes that will serve as a carrier for other substances. Biocompatibility is tested in an animal model. METHODS: The animal model for diaphragmatic hernia repair was established in prior studies. Meshes were surface modified with star-configured PEO (polyethylene oxide)-based molecules [sP(EO-stat-PO)]. An electrospun nanoweb of short-term absorbable PLGA (polylactide-co-glycolide) with integrated sP(EO-stat-PO) molecules was applied onto the modified meshes. This coating also served as aerial sealing of the diaphragm. A final layer of hydrogel was applied to the product. Adhesive properties, defect size and mesh shrinkage were determined, and histological and immunohistochemical investigations performed after 4 months. RESULTS: The mean defect size decreased markedly in both modified mesh groups. Histologically and with regard to apoptosis and proliferation rate, smooth muscle cells, collagen I/III ratio and macrophage count, no statistically significant difference was seen between the 3 mesh groups. CONCLUSIONS: In this proof-of-principle investigation, we demonstrate good biocompatibility for this surface-modified mesh compared to a standard polypropylene-based mesh. This new coating represents a promising tool as a carrier for bioactive substances in the near future.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".