Alginate Bead-Encapsulated PEDF Induces Ectopic Bone Formation In Vivo in the Absence of Co-Administered Mesenchymal Stem Cells
Bibliographic record
Abstract
BACKGROUND: Bone defects can be severely debilitating and reduce quality of life. Osteoregeneration can alleviate some of the complications in bony defects. For therapeutic use in future, a single factor that can cause potent bone regeneration is highly preferred as it will be more costeffective, any off-target effects will be more easily monitored and potentially managed, and for ease of administration which would lead to better patient compliance and satisfaction. OBJECTIVE: We demonstrate that pigment epithelium-derived factor (PEDF), one such factor that is known to be potent against angiogenesis, promotes osteoblastogenesis in mesenchymal stem cells in vitro, but does not need co-encapsulation of cells in alginate bead scaffolds for osteogeneration in vivo. RESULTS: Osteogenic differentiation by PEDF in vitro was confirmed with immunoblotting and immunocytochemical staining for bone markers (alkaline phosphatase, osteocalcin, osteopontin, collagen I), calcified mineral deposition, and assay for alkaline phosphatase activity. PEDF-mediated bone formation in a muscle pocket in vivo model was confirmed by microcomputed tomography (microCT), histology (haematoxylin and eosin, Alcian blue staining), immunostaining for bone markers and for collagen I-processing proteins (heat shock protein 47 and membrane type I matrix metalloproteinase). CONCLUSION: PEDF therefore presents itself as a promising biological for osteogeneration.
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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 | 0.001 |
| 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".