Effect of Hydroxamic Acid‐Based Matrix Metalloproteinase Inhibitors on Human Gingival Cells and <i>Porphyromonas gingivalis</i>
Bibliographic record
Abstract
BACKGROUND: Matrix metalloproteinases (MMPs) are considered to play key roles in tissue destruction during periodontitis. In this study, we evaluated the cytotoxicity of hydroxamic acid-based MMP inhibitors (ONO-4817, ONO-MI1-514, and ONO-MI1-570), and their inhibitory effects on MMP-2 and -9 activities and growth of Porphyromonas gingivalis. METHODS: Human gingival fibroblasts (HGF) and human gingival epithelial cells (HGE) were incubated with test inhibitors prior to investigating cell viability, cell proliferation, and mRNA expression for MMP-2 and -9. Gelatin zymography and a colorimetric MMP assay were performed to study the inhibitory effects on MMP-2 and -9 activities derived from HGF and HGE, respectively. The effect of MMP inhibitors on keratinocyte migration and P. gingivalis growth was also tested. RESULTS: Cell viability was not affected by any of the inhibitors at a final concentration of 50 microM, nor was cell proliferation at 20 microM. All inhibitors clearly inhibited MMP-2 produced by HGF and MMP-9 produced by HGE in a dose-dependent manner. No change was found in mRNA expression of MMPs by gingival cells treated with the inhibitors. ONO-4817 and ONO-MI1-514 inhibited keratinocyte migration. ONO-4817 showed a slightly inhibitory effect on the growth of P. gingivalis. CONCLUSION: Data obtained in this study support the potential use of the three MMP inhibitors for the prevention and treatment of periodontal disease.
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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 | 0.000 |
| 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".