Evaluation of Bone Tissue After Cafeteria-Diet-Induced Obesity and Periodontitis in Rats
Bibliographic record
Abstract
Background: The purpose of this paper was to evaluate the influence of obesity on alveolar bone tissue, either associated with ligature-induced periodontal disease, or not. The possible association between obesity and periodontitis is mainly related to the production of inflammatory cytokines. Methods: Twenty-four male Wistar rats were divided into the following groups: control group (CON); ligature group (LIG) with periodontitis by ligature was induced in the 24th week; obese group (OBESE) received cafeteria diet; obese and ligature group (OBESE + LIG) received cafeteria diet and periodontitis by ligature was induced in the 24th week. Results: The number of osteocytes in the alveolar bone region and the distance from the cementoenamel junction to the alveolar crest were assessed, and descriptive analysis of tissues was performed. The results showed that both obesity and periodontitis led to decreased number of osteocytes (P < 0.01), and increased distance from the cementoenamel junction to the alveolar crest (P < 0.01). Conclusions: In addition, inflammatory characteristics and bone reabsorption in the periodontal tissue were found. It could be concluded that both periodontitis and obesity, in isolation, resulted in a reduction of alveolar bone mass; however, it was more intense when associated with bone loss, demonstrating that obesity contributed to bone loss in periodontitis. J Endocrinol Metab. 2015;5(1-2):172-178 doi: http://dx.doi.org/10.14740/jem248w
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".