An Engineered Dermal Substitute with Mesenchymal Stem Cells Enhances Cutaneous Wound Healing
Why this work is in the frame
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Bibliographic record
Abstract
The treatment of refractory cutaneous wounds remains to be a clinical challenge. There is growing evidence to show that mesenchymal stem cells (MSCs) have great potential in promoting wound healing. However, the therapeutic effects of MSCs are greatly dampened by their poor survival and engraftment in the wounds. To address this limitation, in this study, MSCs were grown into a collagen-glycosaminoglycan (C-GAG) matrix to form a dermis-like tissue sheet, named engineered dermal substitute (EDS). When seeded on C-GAG matrix, MSCs adhered rapidly, migrated into the pores, and proliferated readily. When applied onto excisional wounds in healthy and diabetic mice, the EDS survived well, and accelerated wound closure, compared with C-GAG matrix alone or MSCs in collagen hydrogel. Histological analysis revealed that EDS prolonged the retention of MSCs in the wounds, associated with increased macrophage infiltration and enhanced angiogenesis. RNA-Seq analysis of EDS-treated wounds uncovered the expression of abundant human chemokines and proangiogenic factors and their corresponding murine receptors, suggesting a mechanism of ligand/receptor-mediated signals in wound healing. Thus, our results indicate that EDS prolongs the survival and retention of MSCs in the wounds and enhances wound healing.
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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 | 0.000 | 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) | 0.000 | 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 it