Plant-derived Cellulose Scaffolds for Bone Tissue Engineering
Bibliographic record
Abstract
Abstract Plant-derived cellulose biomaterials have recently been utilized in several tissue engineering applications. Naturally-derived cellulose scaffolds have been shown to be highly biocompatible in vivo , possess structural features of relevance to several tissues, as well as support mammalian cell invasion and proliferation. Recent work utilizing decellularized apple hypanthium tissue has shown that it possesses a pore size and properties similar to trabecular bone. In the present study, we examined the potential of apple-derived cellulose scaffolds for bone tissue engineering (BTE). Confocal microscopy revealed that the scaffolds had a suitable pore size for BTE applications. To analyze their in vitro mineralization potential, MC3T3-E1 pre-osteoblasts were seeded in either bare cellulose scaffolds or in composite scaffolds composed of cellulose and collagen I. Following chemically-induced differentiation, scaffolds were mechanically tested and evaluated for mineralization. The Young’s modulus of both types of scaffolds significantly increased after cell differentiation. Alkaline phosphatase and Alizarin Red staining further highlighted the osteogenic potential of the scaffolds. Histological sectioning of the constructs revealed complete invasion by the cells and mineralization throughout the entire constructs. Finally, scanning electron microscopy demonstrated the presence of mineral aggregates deposited on the scaffolds after differentiation, and energy-dispersive spectroscopy confirmed the presence of phosphate and calcium. In summary, our results indicate that plant-derived cellulose is a promising scaffold candidate for bone tissue engineering applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".