Inhibition of periodontopathogen-derived proteolytic enzymes by a high-molecular-weight fraction isolated from cranberry
Bibliographic record
Abstract
BACKGROUND: Porphyromonas gingivalis, Tannerella forsythia and Treponema denticola are three major aetiological agents of chronic periodontitis. The strong proteolytic activities of these bacteria are critical to their survival since their energy source is obtained from peptides and amino acids derived from proteins. In addition, proteases are important factors contributing to periodontal tissue destruction by a variety of mechanisms, including direct tissue degradation and modulation of host inflammatory responses. OBJECTIVES: The aim of this study was to investigate the effect of non-dialysable material (NDM) prepared from cranberry juice concentrate on the proteolytic activities of P. gingivalis, T. forsythia and T. denticola. METHODS: The effect of NDM on gingipain and dipeptidyl peptidase IV (DPP IV) activities of P. gingivalis, trypsin-like activity of T. forsythia and chymotrypsin-like activity of T. denticola was evaluated using synthetic chromogenic peptides. In addition, the capacity of P. gingivalis to degrade fluorescein-labelled type I collagen and fluorescein-labelled transferrin in the presence of NDM was evaluated by fluorometry. RESULTS: NDM dose-dependently inhibited the proteinases of P. gingivalis, T. forsythia and T. denticola as well as type I collagen and transferrin degradation by P. gingivalis. CONCLUSIONS: These results suggest that NDM has the potential to reduce either the proliferation of P. gingivalis, T. forsythia and T. denticola in periodontal pockets or their proteinase-mediated destructive process occurring in periodontitis.
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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 | 0.001 |
| 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 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".