Interleukin-1 Induction of Aggrecanase Gene Expression in Human Articular Chondrocytes is Mediated by Mitogen-Activated Protein Kinases
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Bibliographic record
Abstract
BACKGROUND/AIMS: We investigated the unknown molecular mechanisms of Interleukin-1 (IL-1β)-induced cartilage aggrecan degeneration by aggrecanase (ADAMTS-A Disintegrin And Metalloproteinase with ThromboSpondin motifs) in human articular chondrocytes, a model mimicking human arthritis. METHODS: Chondrocytes were pretreated with various pharmacological inhibitors and then stimulated with IL-1β for 24 h. ADAMTS-4 expression or activity was studied by RT-PCR or ELISA and other proteins measured by Western blotting. RESULTS: MAP kinase kinase-specific inhibitor, U0126 inhibited IL-1-induced phosphorylation of ERK1/2 and down-regulated ADAMTS-4 expression and activity. Protein 38 inhibitor, SB203580 down-regulated the phosphorylation of p38 and its target, activating transcription factor-2 (ATF-2), ADAMTS-4 mRNA and activity. C-Jun N-terminal kinase (JNK) inhibitor, SP600125 diminished IL-1-stimulated JNK phosphorylation, ADAMTS-4 mRNA expression and enzyme activity. A c-fos/lipoxygenase pathway inhibitor and antioxidant, nordihydroguaiaretic acid (NDGA) significantly suppressed ADAMTS-4 mRNA induction and activity. Activating protein (AP-1) and nuclear factor kappa B (NF-ĸB) transcription factor inhibitors, curcumin and pyrrolidine dithiocarbamate (PDTC) partially inhibited ADAMTS-4 induction and activity. CONCLUSION: These results suggest partial involvement of ERK-, p38-and JNK-MAPKs as well as AP-1, ATF-2 and NF-ĸB transcription factors in IL-1-induced ADAMTS-4 in chondrocytes. Inhibition of these targets by the specific pharmacological agents could be useful for reducing aggrecanase-driven cartilage resorption in arthritis.
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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) | 0.000 | 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) | 0.000 | 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 it