Reduction in Disease Progression by Inhibition of Transforming Growth Factor α–CCL2 Signaling in Experimental Posttraumatic Osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: Transforming growth factor α (TGFα) is increased in osteoarthritic (OA) cartilage in rats and humans and modifies chondrocyte phenotype. CCL2 is increased in OA cartilage and stimulates proteoglycan loss. This study was undertaken to test whether TGFα and CCL2 cooperate to promote cartilage degradation and whether inhibiting either reduces disease progression in a rat model of posttraumatic OA. METHODS: Microarray analysis was used to profile expression of messenger RNA (mRNA) for Tgfa, Ccl2, and related genes in a rat model of posttraumatic OA. Rat primary chondrocytes and articular cartilage explants were treated with TGFα in the presence or absence of MEK-1/2, p38, phosphatidylinositol 3-kinase, Rho-associated protein kinase, or CCR2 inhibitors and immunostained for markers of cartilage degradation. The rat model was used to administer pharmacologic inhibitors of TGFα (AG1478) and CCL2 (RS504393) signaling for up to 10 weeks and assess histopathology and serum biomarkers of cartilage synthesis (C-propeptide of type II collagen [CPII]) and breakdown (C2C). RESULTS: Tgfa and Ccl2 mRNA were simultaneously up-regulated in articular cartilage in the rat model of posttraumatic OA. TGFα induced expression of CCL2, Mmp3, and Tnf in primary chondrocytes. Cleavage of type II collagen and aggrecan (by matrix metalloproteinases and ADAMTS-4/5, respectively) induced by TGFα was blocked by pharmacologic inhibition of CCL2 in cartilage explants. In vivo pharmacologic inhibition of TGFα or CCL2 signaling reduced Osteoarthritis Research Society International cartilage histopathology scores and increased serum CPII levels, but only TGFα inhibition reduced C2C levels intreated versus untreated rat OA cartilage. CONCLUSION: TGFα signaling stimulates cartilage degradation via a CCL2-dependent mechanism, but pharmacologic inhibition of the TGFα-CCL2 axis reduces experimental posttraumatic OA progression in vivo.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".