Selective inhibition of type X collagen expression in human mesenchymal stem cell differentiation on polymer substrates surface‐modified by glow discharge plasma
Bibliographic record
Abstract
Recent evidence indicates that a major drawback of current cartilage- and disc-tissue engineering is that human mesenchymal stem cells (MSCs) rapidly express type X collagen-a marker of chondrocyte hypertrophy associated with endochondral ossification. Some studies have attempted to use growth factors to inhibit type X collagen expression, but none to date has addressed the possible effect of the substratum on chondrocyte hypertrophy. Here, we sought to examine the growth and differentiation potential of human MSCs cultured on two polymer types, polypropylene and nylon-6, both of which have been surface-modified by glow discharge plasma treatment in ammonia gas. Cultures were performed for up to 14 days in Dulbecco's modified Eagle medium + 10% fetal bovine serum. Commercial polystyrene culture dishes were used as control. Reverse transcriptase-polymerase chain reaction was used to assess the expression of types I, II, and X collagens and aggrecan using gene-specific primers. Glyceraldehyde-3-phosphate dehydrogenase was used as a housekeeping gene. Types I and X collagens, as well as aggrecan, were found to be constitutively expressed by human MSCs on polystyrene culture dishes. Whereas both untreated and treated nylon-6 partially inhibited type X collagen expression, treated polypropylene almost completely inhibited its expression. These results indicate that plasma-treated polypropylene or nylon-6 may be a suitable surface for inducing MSCs to a disc-like phenotype for tissue engineering of intervertebral discs in which hypertrophy is suppressed.
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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".