Mechanisms for Relaxin’s Modulation of MMPs and Matrix Loss in Fibrocartilages
Bibliographic record
Abstract
shown that the fibrocartilaginous temporomandibular joint (TMJ) disc and pubic sym-physis respond to relaxin by upregulation of MMPs and loss of key matrix molecules. These responses to relaxin are enhanced by estrogen, and are also modulated by estro-gen alone. Since these fibrocartilaginous tissue are heterogeneous containing fibroblastic, chondrocytic and intermediate cell types, the responses of specific cell types to relaxin are not known. Also the direct effect of specific MMPs induced by relaxin to the loss carti-lage matrix in vivo has not been demonstrated. Our purpose was to (1) characterize cell type-specific response(s) to relaxin and estrogen; (2) identify the relaxin receptor and downstream signaling involved in relaxin’s induction of specific MMPs; (3) develop a mouse model for in vivo manipulation of hormones; and (4) identify the contribution of each of these hormones and the MMPs they regulate to in vivo matrix loss. Two each of fibroblastic and chondrocytic female mouse TMJ disc cell clones immortalized by human telomerase reverse transcriptase were isolated and charac-terized on the basis of phenotype, growth curves, and fibroblastic and chondroctytic markers, respectively. Chondrocytic cell clones had higher mRNA and protein expres-
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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".