Mechanical vibrations increase the proliferation of articular chondrocytes in high-density culture
Bibliographic record
Abstract
Tissue engineering is a promising approach for articular cartilage repair; however, it still has proven a challenge to produce tissue from the limited number of cells that can be extracted from a single individual. Relatively few cell expansion methods exist without the problems of dedifferentiation and/or loss of potency. Previously, it has been shown that mechanical vibrations can enhance chondrocyte proliferation in monolayer culture. Thus, it was hypothesized that chondrocytes grown in high-density culture would respond in a similar fashion while maintaining phenotypic stability. Isolated bovine articular chondrocytes were seeded in high-density culture on Millicell filters and subjected to mechanical vibrations 48 h after seeding. Mechanical vibrations enhanced chondrocyte proliferation at frequencies above 350 Hz, with the peak response occurring at a 1g amplitude for a duration of 30 min. Under these conditions, the gene expression of cartilage-specific and dedifferentiation markers (collagen II, collagen I, and aggrecan) were unchanged by the imposed stimulus. To determine the effect of accumulated extracellular matrix (ECM) on this proliferative response, selected cultures were stimulated under the same conditions after varying lengths of preculture. The amount of accumulated ECM (collagen and proteoglycans) decreased this proliferative response, with the cultures becoming insensitive to the stimulus after 1 week of preculture. Thus, mechanical vibration can serve as an effective means preferentially to stimulate the proliferation of chondrocytes during culture, but its effects appear to be limited to the early stages where ECM accumulation is at a minimum.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".