Assessment of specific mRNA levels in cartilage regions in a lapine model of osteoarthritis
Bibliographic record
Abstract
Osteoarthritis (OA) is the most common form of arthritis and patients with meniscal and ligament injuries of the knee are at high risk to develop the disease. The purpose of this study was to evaluate molecular and structural changes occurring in four articular cartilage (AC) regions from the knees of anterior cruciate ligament (ACL)-transected rabbits at 3 and 8 weeks post-surgery. Rabbit AC from the lateral and medial femoral condyles (LFC and MFC) as well as from the medial and lateral tibial plateau (MTP and LTP) were processed for histology and for semi-quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) analysis for a subset of relevant molecules (collagen II, aggrecan. biglycan, decorin, fibromodulin, MMP-1, -3, -13, and TIMP-1). While the most severe histological changes were observed in the MTP starting as early as 3 weeks post-ACL transection based on Mankin scores, histological examination demonstrated a progression of osteoarthritic changes in the MFC from 3 to 8 weeks post-surgery. In contrast, very few changes were observed within both the LFC and LTP, and these changes did not worsen with increasing time after surgery. The water content increased significantly in the MFC at 8 weeks post-ACL transection and at both 3 and 8 weeks post-ACL transection in the MTP. Significant decreases in DNA content were observed for the MFC, LTP and MTP at 8 weeks post-ACL transection. Total RNA yields from the MFC and MTP were significantly elevated at 8 weeks post-ACL transection, while in the lateral compartment total RNA was unchanged following ACL transection. Analysis of mRNA levels for a subset of matrix molecules, proteinases and proteinase inhibitors, by RT-PCR demonstrated significant region-specific changes at the mRNA level following ACL transection. These results show that following ACL transection, complex molecular, as well as structural changes occur early in cartilage and that the observed changes are both region-specific and time-dependent.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".