Mesenchymal stem cell‐seeded multilayered dense collagen‐silk fibroin hybrid for tissue engineering applications
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
Tissue engineering of multilayered constructs that model complex tissues poses a significant challenge for regenerative medicine. In this study, a three-layered scaffold consisting of an electrospun silk fibroin (SF) mat sandwiched between two dense collagen (DC) layers was designed and characterized. It was hypothesized that the SF layer would endow the DC-SF-DC construct with enhanced mechanical properties (e.g., apparent modulus, tensile strength, and toughness), while the surrounding DC layers provide an extracellular matrix-like environment for mesenchymal stem cell (MSC) growth. MSC-seeded DC-SF-DC hybrids were produced using the plastic compression technique and characterized morphologically, chemically, and mechanically. Moreover, MSC viability was assessed for up to 1 wk in culture. Scaffold analyses confirmed compaction and integration of the meso-scaled multilayered DC-SF-DC hybrid, which was reflected in a significantly higher toughness value when compared to DC and SF alone. MSCs directly incorporated into the DC layers remained viable for up to day 7. The ease of multilayered construct fabrication, enhanced biomechanical properties, along with uniformity of cell distribution confirmed the possibility for the incorporation and segregation of different cell types within distinct layers for the regeneration of complex tissues, such as skin, or central nervous system dura mater.
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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 | 0.000 | 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 | 0.001 | 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