Use of adipose-derived stem cells on decellularized bladder scaffolds for functional bladder mucosa regeneration
Bibliographic record
Abstract
This study explores the potential for adipocyte-derived stem cells (ASCs) to be used in bladder reconstruction. Current methods, such as enterocystoplasty, have significant limitations, making new approaches necessary. Tissue engineering, specifically using acellular scaffolds such as the bladder acellular matrix, offers a promising basis for this development. For this study, ASCs were isolated from adipose tissue derived from liposuction and co-cultured with urothelial cells (UC; SV-HUC) to induce transdifferentiation. Results indicate successful isolation and characterization of ASCs, displaying positive markers for stem cells. The co-culture of ASCs with SV-HUC cells resulted in changes resembling epithelial cells, indicating a potential transdifferentiation process, and is corroborated by the mRNA and protein levels. For the functional assay, urothelial-like cells were seeded onto decellularized bladder tissues. These findings demonstrate the successful transdifferentiation of ASCs into functional UC, presenting a promising strategy for bladder reconstruction and a potential alternative to current approaches.
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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".