Generating Mechanically Stable, Pediatric, and Scaffold-Free Nasal Cartilage Constructs <i>In Vitro</i>
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
Traditional methods of cartilage tissue engineering rely on the use of scaffolds. Although successful chondrogenesis has been reported in scaffold-based constructs, the use of exogenous materials has limited their application due to eliciting host immunogenic responses and potentially resulting in construct failure. As a result, tissue engineering approaches, which aim to generate scaffold-free cartilaginous constructs, have become of particular interest. Here, we generated stable three-dimensional scaffold-free cartilaginous constructs by cultivating expanded pediatric nasal chondrocyte multilayers in a slow turning lateral vessel bioreactor system under chemically defined media. Bioreactor cultivation resulted in increased construct cellularity, fourfold tissue thickness, and 200% sulfated glycosaminoglycan deposition with respect to static culture equivalent cultures. These improvements led to significantly enhanced mechanical and biochemical properties of bioreactor-cultivated constructs, allowing them to support their own weight, while static culture constructs remained fragile. Consequently, bioreactor-cultivated constructs closely resembled native nasal cartilage tissue histologically, mechanically, and biochemically. We propose that this method of cartilage construct formation could be used to obtain readily available human scaffold-free cartilaginous constructs.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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