Minimal contraction for tissue-engineered skin substitutes when matured at the air-liquid interface
Bibliographic record
Abstract
The structural stability of skin substitutes is critical to avoid aesthetic and functional problems after grafting, such as contractures and hypertrophic scars. The present study was designed to assess the production steps having an influence on the contractile behaviour of the tissue-engineered skin made by the self-assembly approach, where keratinocytes are cultured on tissue-engineered dermis comprised of fibroblasts and the endogenous extracellular matrix they organized. Thus, different aspects were investigated, such as the assembly method of the engineered dermis (various sizes and anchoring designs) and the impact of epithelial cell differentiation (culture submerged in the medium or at the air-liquid interface). To evaluate the structural stability at the end of the production, the substitutes were detached from their anchorages and deposited on a soft substrate, and contraction was monitored over 1 week. Collected data were analysed using a mathematical model to characterize contraction. We observed that the presence of a differentiated epidermis significantly reduced the amount of contraction experienced by the engineered tissues, independently of the assembly method used for their production. When the epidermis was terminally differentiated, the average contraction was only 24 ± 4% and most of the contraction occurred within the first 12 h following deposition on the substrate. This is 2.2-fold less compared to when the epidermis was cultured under the submerged condition, or when tissue-engineered dermis was not overlaid with epithelial cells. This study highlights that the maturation at the air-liquid interface is a critical step in the reconstruction of a tissue-engineered skin that possesses high structural stability.
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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".