The effect of doxycycline and collagenase A on the differentiation of mesenchymal stem cells towards a nucleus pulposus phenotype
Bibliographic record
Abstract
Intervertebral disc (IVD) degeneration costs the healthcare system billions of dollars annually and leads to reduced quality of life. Current treatments are invasive and primarily focus on symptom relief rather than repair. This study aimed to facilitate the development of an injectable therapy using chondrogenically differentiated mesenchymal stem cells (MSCs) in the absence of collagen II deposition. Briefly, pelleted MSCs were cultivated in chondrogenic medium and were supplemented with collagenase A or doxycycline in order to inhibit collagen assembly. Results indicated that collagenase A and doxycycline treatment had no negative effects on DNA or proteoglycan content. Collagenase A at all concentrations affected collagen content, as did doxycycline at low concentrations. Furthermore, preliminary gene expression studies for nucleus pulposus markers showed that collagenase A and doxycycline may have some effect on terminal differentiation of MSCs in chondrogenic medium. Overall, the findings suggest that collagenase A and doxycycline supplementation can be used to inhibit collagen formation, thereby facilitating the further development of an injectable therapy for IVD repair.
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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".