521 Adipose Derived Stem Cells Populated Matrix Promotes Wound Healing in Mice
Bibliographic record
Abstract
Wound repair and regeneration is a multidisciplinary field of research with considerable value to the treatment of deep and large burn injuries. These injuries lack an appropriate tissue scaffold and pro-healing cells making them difficult to heal. An alternative to the often limited autologous skin is a therapy that would restore the essential matrix and cellular components for rapid healing. Over the last decade, mesenchymal stem cells have become the focus of research in regenerative medicine owing to their ability to provide the essential building blocks for skin regeneration. Herein, we utilize a validated method of wound splinting in a delayed-healing murine model to investigate the pro-healing effects of adipose-derived stem cells (ASCs) in a novel dermal matrix in the healing of complex wounds. To ensure ASC survival within the gel matrix, cells were incubated with the matrix for 14 days prior to in-vivo studies. Viability was tested at days 3,7 and 14. With ethics approval, full-thickness 8 mm diameter excisional wounds were created and splinted on the dorsum of genetically diabetic mice. Eighteen animals were randomized into 3 groups: 1) occlusive dressing only (control), 2) gel, 3) gel + ASCs. Wounds were photographed at days 0, 7, 10, 14 and wound area was calculated using Image J Software. Histologic samples were examined for architecture and collagen content. Capillary formation was quantified using immunofluorescence. GFP labelling of ASCs was used to track the fate of these cells within the wound. The gel matrix supported the survival of ASCs. In-vivo testing showed that treatment groups had accelerated epithelialization. Wounds treated with gel + ASCs had a significant reduction in wound size after Day 10 (p<0.001). Histology showed earlier re-epithelialization in both treatment groups. GFP staining showed co-localization of ASCs with capillaries. There was an increased number of capillaries in the wound site for groups treated with ASCs compared to control (p <0.001). ASCs are a viable source of pro-healing cells in deep wounds. The cell populated matrix accelerated wound healing, decreased wound size and increased capillary formation in a delayed-healing murine model. The dermal gel matrix combined with ASCs is a feasible treatment strategy for complex or large burn wounds. The dermal gel matrix component has since been shown to be non-toxic to human cells. The protocol can be modified for human use by using autologous ASCs.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".