Cell Kinetics of Human Nasal Septal Chondrocytes In Vitro: Importance for Cartilage Grafting in Otolaryngology
Bibliographic record
Abstract
In the field of reconstructive plastic surgery, grafts of autologous cartilage are sometimes used to replace damaged or pathologic tissues, particularly in the nose, ear, and trachea. However, this procedure is difficult to apply, especially because of the scarcity of donor sites. In this study, we have cultured and characterized human chondrocytes from human nasal septal cartilage biopsies. The proliferative activity was evaluated by incorporation of 3H-thymidine into deoxyribonucleic acid (DNA) both under normal culture conditions and with different growth factors and serum concentrations. Identification of chondrocytes in culture was performed with immunohistochemistry and production of matrix with specific histochemical indicators. We observed a significant increase of cell kinetics of differentiated chondrocytes, embedded with intense metachromatic matrix, in the presence of transforming growth factor beta, and low concentrations of fetal calf serum. Therefore, in suitable conditions, human chondrocytes obtained even from small specimens can produce in vitro considerable quantities of pure autologous cartilaginous tissue within a few days. This newly formed cartilage can be used as a grafting material in reconstructive surgery, particularly in otolaryngology.
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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".