Bioengineering of fibroblast‐conditioned polycaprolactone/gelatin electrospun scaffold for skin tissue engineering
Bibliographic record
Abstract
BACKGROUND: Synthetic tissue engineering scaffolds has poor biocompatiblity with very low angiogenic properties. Conditioning the scaffolds with functional groups, coating with biological components, especially extracellular matrix (ECM), is an excellent strategy for improving their biomechanical and biological properties. METHODS: In the current study, a composite of polycaprolactone and gelatin (PCL/Gel) was electrospun in the ratio of 70/30 and surface modified with 1% gelatin-coating (G-PCL/Gel) or plasma treatment (P-PCL/Gel). The surface modification was determined by SEM and ATR-FTIR spectroscopy, respectively. The scaffolds were cultured with fibroblast 3T3, then decellularized during freeze-thawing process to fabricate a fibroblast ECM-conditioned PCL/Gel scaffold (FC-PCL/Gel). The swelling and degaradtion as well as in vitro and in vivo biocompatibility and angiogenic properties of the scaffolds were evaluated. RESULTS: The structure of the surface-modified G-PCL/Gel and P-PCL/Gel were unique and not changed compared with the PCL/Gel scaffolds. ATR-FTIR analysis admitted the formation of oxygen-containing groups, hydroxyl and carboxyl, on the surface of the P-PCL/Gel scaffold. The SEM micrographs and DAPI staining confirmed the cell attachment and the ECM deposition on the platform and successful removal of the cells after decellularization. P-PCL/Gel showed better cell attachment, ECM secretion and deposition after decellularization compared with G-PCL/Gel. The FC-PCL/Gel was considered as an optimized scaffold for further assays in this study. The FC-PCL/Gel showed increased hydrophilic behavior and cytobiocompatibility compared with P-PCL/Gel. The ECM on the FC-PCL/Gel scaffold showed a gradual degradation during 30 days of degradation time, as a small amount of ECM remained over the FC-PCL/Gel scaffold at day 30. The FC-PCL/Gel showed significant biocompatibility and improved angiogenic property compared with P-PCL/Gel when subcutaneously implanted in a mouse animal model for 7 and 28 days. CONCLUSIONS: Our findings suggest FC-PCL/Gel as an excellent biomimetic construct with high angiogenic properties. This bioengineered construct can serve as a possible application in our future pre-clinical and clinical studies for skin regeneration.
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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".