Functionalized bio-spinning silk fiber scaffolds containing Mg<sup>2+</sup> with osteoimmunomodulatory and osteogenesis abilities for critical-sized bone defect regeneration
Bibliographic record
Abstract
Abstract Severe bone defects remain a significant clinical challenge, necessitating the development of advanced bone repair scaffolds with excellent biocompatibility, precise immune modulation, and robust support for vascularization and osteogenesis. Silk fibroin (SF), a polymer renowned for its outstanding biocompatibility, has been widely used in bone repair scaffold materials. However, its complex fabrication process limits its broader clinical application. In this study, flat silkworm cocoon (FSC), characterized by continuous silk fibers, a porous hierarchical structure, and superior mechanical properties, was utilized for the first time to fabricate bio-scaffolds (TH-PDA@Mg) designed for sustained magnesium ion release in bone repair applications. FSC scaffolds featuring surface pores and extracellular matrix-like structures were successfully prepared using hot-press and surface modification techniques. Magnesium ions were effectively assembled onto FSC scaffolds via polydopamine (PDA)-mediated adhesive interactions. The resulting TH-PDA@Mg scaffolds demonstrated enhanced osteogenic properties, exceptional mechanical strength, superior surface characteristics, and excellent biocompatibility. In vitro analyses revealed that these scaffolds supported cell adhesion, promoted stem cell proliferation, and facilitated osteogenic differentiation due to the synergistic effects of SF and magnesium ions. Furthermore, they exhibited immunomodulatory properties by promoting M2 macrophage polarization while suppressing M1 macrophage activity. In vivo studies using a rat model of critical-sized cranial bone defects showed that the TH-PDA@Mg scaffolds accelerated bone regeneration, enhanced angiogenesis, and mitigated inflammation. These findings highlight the remarkable osteogenic and immunomodulatory potential of functional bio-spinning silk fiber scaffolds, underscoring their promise as a therapeutic strategy for the clinical treatment of bone defects.
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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 | 0.000 |
| 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 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".