Effects of Biphenyl Sulfonylamino Methyl Bisphosphonic Acids on Porphyromonas Gingivalis and Cytokine Secretion by Oral Epithelial Cells
Bibliographic record
Abstract
Bisphosphonate drugs are well known to inhibit osteoclastic activity and have been proposed for the management of bone diseases, including periodontitis which is associated with alveolar bone destruction. In this study, we evaluated the effects of four arylsulfonamide bisphosphonates on growth of the periodontopathogenic bacterium Porphyromonas gingivalis as well as their capacity to reduce cytokine secretion by lipopolysaccharide (LPS)-stimulated oral epithelial cells. The growth of P. gingivalis was inhibited by (4'-Chloro-biphenyl-4-sulfonylamino)methyl-1,1- bisphosphonic acid while the three other arylsulfonamide bisphosphonates ((4-Methoxy-phenylsulfonylamino)methyl-1,1- bisphosphonic acid, (4-Nitro-phenylsulfonylamino)methyl-1,1-bisphosphonic acid, and (Biphenyl-4-sulfonylamino) methyl-1,1-bisphosphonic acid) had no effect. Growth inhibition was more pronounced under an iron-restricted condition. All four arylsulfonamide bisphosphonates decreased the production of the pro-inflammatory cytokines IL-6 and IL-8 by Aggregatibacter actinomycetemcomitans LPS-stimulated oral epithelial cells. In conclusion, we uncovered additional properties of bisphosphonates that may be beneficial for the treatment of periodontal diseases. In particular, (4'-Chlorobiphenyl- 4-sulfonylamino)methyl-1,1-bisphosphonic acid combines the already disclosed antiresoptive activity with antiinflammatory and antibacterial properties.
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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".