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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".