Dermal fibroblasts cultured on small intestinal submucosa: Conditions for the formation of a neotissue
Bibliographic record
Abstract
Small intestinal submucosa (SIS) is a naturally occurring, acellular biomaterial that has been used extensively as a soft tissue replacement, as a scaffold for tissue engineering, and as a substrate for the study of cells in 3D culture. The aim of this study is to define culture parameters that promote neotissue formation with the use of dermal fibroblasts and SIS. SIS sheets were seeded with dermal fibroblasts and cultured for 4 weeks. The resultant cell-scaffold composites (CSCs) were cultured with media alone, media supplemented with ascorbic acid, or fibronectin-pretreated SIS and ascorbic acid. CSCs were analyzed for cellular invasion into the scaffold, the rate of type I collagen production, MMP gelatinolytic activity, thickness, and ultrastructural morphology. CSCs treated with fibronectin and ascorbate showed an increase in Type I collagen production, no change in the MMP gelatinolytic activity, an increase in CSC thickness, and an organized neotissue on the surface of the SIS. Minimal cellular invasion was noted, suggesting that fibroblasts use the SIS as a template for neotissue growth rather than as a scaffold. These results indicate that fibronectin-treated SIS cultured with dermal fibroblasts in the presence of ascorbic acid will promote true neotissue formation for future cardiovascular tissue engineering efforts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".