The efficacy of polycaprolactone/hydroxyapatite scaffold in combination with mesenchymal stem cells for bone tissue engineering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Major drawbacks of using an autograft are the possibilities of insufficient bony source and patient's morbidity after operation. Bone tissue engineering technology, therefore, has been applied for repairing bony defects. Previous study showed that a novel fabricated 3D-Polycaprolactone/Hydroxyapatite (PCL/HAp) scaffold possessed a good biocompatibility for bone cells. This study aimed to determine the ability of PCL/HAp for supporting cell growth, gene expression, and osteogenic differentiation in three types of mesenchymal stem cells, including bone marrow-derived mesenchymal stem cells (BMSCs), dental pulp stem cells (DPSCs), and adiposed-derived mesenchymal stem cells (ADSCs). These were assessed by cell viability assay (MTT), reverse-transcription polymerase chain reaction (RT-PCR) analysis, alkaline phosphatase activity, and osteogenic differentiation by alizarin red-S staining. The results showed that PCL/HAp scaffold could support growth of all three types of mesenchymal stem cells. In addition, DPSCs with PCL/HAp showed the highest level of calcium deposition compared to other groups. In conclusion, DPSCs exhibited a better compatibility with these scaffolds compared to BMSCs and ADSCs. However, the PCL/HAp could be a good candidate scaffold for all tested mesenchymal stem cells in bone tissue engineering.
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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 | 0.005 | 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 it