Impact of bladder‐derived acellular matrix, growth factors, and extracellular matrix constituents on the survival and multipotency of marrow‐derived mesenchymal stem cells
Bibliographic record
Abstract
We investigate the effect of bladder-derived acellular matrix (ACM) on bone marrow mesenchymal stem cells (BM-MSC) growth, survival, and differentiation, and evaluate the effect of collagen I and IV on BM-MSC differentiation potential to SMC. BM-MSCs isolated from CD1(_) mice were characterized by surface markers and differentiation into different lineages. BM-MSC SMC potential was further evaluated in stem cell medium alone or supplemented with TGF-β1 and recombinant human platelet-derived growth factor (PDGF-BB) on plastic, collagen I and IV using western blot. Furthermore, BM-MSCs were seeded on porcine derived ACM-fortified with hyaluronic acid and cultured in Mesencult+-growth factors, bone, or fat induction media for 3 weeks. Seeded constructs were evaluated by H&E, Ki67 assay, Oil red O, and Alizarin red stain. SMC differentiation was semiquantified via immunohistochemistry. BM-MSCs differentiated into fat and bone when induced. In Mesencult, BM-MSCs differentiated into SMC, expressing α-SMA, calponin, and MHC. BM-MSCs cultured on collagen I and IV reduced expression of SMC and MHC compared to plastic. On ACM-HA, BM-MSCs maintained multipotent state by differentiating to bone and fat when induced. In Mesencult, BM-MSC-seeded ACM-HA expressed α-SMA, calponin, and MHC. TGF-β1 and PDGF-BB enhanced SMC differentiation on collagens and ACM-HA. SMC proteins expression by BM-MSC varies depending on culture substrate. SMC markers are expressed higher on plastic and lower on collagen I, IV, and ACM-HA, suggesting these substrates preferentially maintain undifferentiated state of BM-MSC, which could be advantageous for incorporation of cell-seeded grafts to permit host modulation of tissue regeneration.
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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 | 0.003 | 0.001 |
| 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 | 0.002 |
| 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 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".