Systemic treatment with resveratrol and/or curcumin reduces the progression of experimental periodontitis in rats
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Periodontitis is a chronic inflammatory disease of periodontal tissues that leads to the destruction of bone and other connective tissues. Resveratrol and curcumin are plant-derived substances with biological properties that may have immunomodulatory properties. This study investigated the effect of continuous administration of resveratrol and curcumin and the association of resveratrol and curcumin on the progression of experimental periodontitis in rats. MATERIAL AND METHODS: Forty Wistar rats were assigned randomly to the following groups: group 1, experimental periodontitis + placebo (PL) (n = 10); group 2, experimental periodontitis + resveratrol (RSV) (n = 10); group 3, experimental periodontitis + curcumin (C) (n = 10); and group 4, experimental periodontitis + resveratrol + curcumin (COMBI) (n = 10). Periodontitis was induced in rats by tying a silk suture, as a ligature, around one of the first molars. Daily administration of the placebo solution, 10 mg/kg of resveratrol, 100 mg/kg of curcumin or 10 mg/kg of resveratrol plus 100 mg/kg of curcumin was carried out from day 0 to day 30. At the end of the relevant experimental periods, rats were killed and the specimens obtained were processed for morphometric analysis of bone loss. Gingival tissues surrounding the first molar were collected for quantification of interleukin (IL)-1β, IL-4, interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α) using a Luminex/MAGPIX assay. RESULTS: Intergroup comparisons of the morphometric outcomes revealed higher bone-loss values in the PL group (p < 0.05) when compared with RSV, C and COMBI groups. There was no difference in bone-loss values among RSV, C and COMBI groups (p > 0.05). The immunoenzymatic assay of the gingival tissue showed a lower concentration of IL-1β in the COMBI group in comparison with the PL group (p < 0.05). Higher values of IL-4 were demonstrated in groups RSV, C and COMBI in comparison with the PL group (p < 0.05). Only RSV caused a reduction in the levels of IFN-γ (p < 0.05). There was no difference in the concentration of TNF-α amongst the four groups (p > 0.05). CONCLUSION: Resveratrol and curcumin are capable of reducing alveolar bone loss in an animal model of periodontitis. This occurred when these agents were added singly or in combination with one another, but there did not appear to be either synergistic or additive effects.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".