Resveratrol Inhibits Periodontitis‐Related Bone Loss in Rats Subjected to Cigarette Smoke Inhalation
Bibliographic record
Abstract
BACKGROUND: Alternative therapeutic approaches have been explored to modulate host response to periodontal disease. Knowledge of new strategies to treat periodontitis is particularly relevant in patients presenting augmented risk to periodontitis, such as smokers. The aim of this study is to investigate the impact of resveratrol (RESV) on progression of experimental periodontitis (EP) in the presence of cigarette smoke inhalation (CSI). METHODS: Rats were assigned to one of three groups: 1) CSI+RESV (n = 20); 2) CSI+placebo (n = 20); and 3) non-CSI (n = 20). CSI was initiated 1 week prior to initiation of RESV or placebo administration (systemically for 30 days) and was continued until the end of the study. EP was induced around the first mandibular and second maxillary molars using ligatures. Specimens from the mandible were processed for morphometric and microcomputed tomography examination of bone volume/levels. Gingival tissues surrounding mandibular molars were collected for quantification of interleukin (IL)-1β, IL-4, IL-6, IL-17, and tumor necrosis factor-α using an assay system. Additional analyses of immunoinflammatory mediator performance (T-helper Type 17 [Th17]/Th2 and Th1/Th2 cell levels) were performed according to Th cell responses in gingival tissues. Gingival tissues of maxillary molars were subjected to real-time polymerase chain reaction for assessment of osteoprotegrin, runt-related transcription factor-2, receptor activator of nuclear factor-kappa B ligand (RANKL), sclerostin, and Dickkopf Wnt signaling pathway inhibitor 1 levels. RESULTS: Higher linear alveolar bone loss (ABL) and lower interradicular bone density were detected in ligated molars in the CSI+placebo group (P <0.05). IL-4 level was the highest, and Th17/Th2 levels were the lowest in RESV-treated rats compared with placebo rats (P <0.05). RESV reduced expression of messenger RNA for RANKL in animals receiving CSI (P <0.05). CONCLUSION: RESV inhibits EP and CSI-induced supporting ABL and has a beneficial effect on osteo-immunoinflammatory markers.
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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 | 0.000 |
| 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 | 0.000 |
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".