Evaluation of Alveolar Bone Mandibular of Rats Obese Induced at Monosodium Glutamate Undergoing Modified Duodenal-Jejunal Bypass Surgery
Bibliographic record
Abstract
Background: Obesity is a worldwide epidemic and its prevalence has doubled in recent years. Studies report that obesity may positively or negatively influence on bone mass resulting in formation or resorption. Furthermore, there is evidence suggesting that some obesity surgical treatments can also result in bone resorption. Thus, the aim of this study was to determine the consequences of monosodium glutamate (MSG)-induced obesity and modified duodenal-jejunal bypass (modDJB) surgery on the mandibular alveolar bone of rats. Methods: A total of 18 rats were divided into CON group (n = 6), MSG group (n = 6) and MDJB group (n = 6). During the first 5 days of life, the CON group received saline injections, and the MSG and MDJB groups received MSG injections to induce obesity. At 90 days, the MDJB group underwent modDJB surgery. After 2 months, all animals were euthanized; the right hemi-mandible was dissected, processed and submitted to histological analysis. The quantification of osteocytes and osteoclasts and the measurement of the distance between cementum enamel junction and bone crest (CEJ-BC) were performed. The data were analyzed and evaluated using ANOVA and Tukey’s tests. Results: The results showed that MSG-obese rat had a lower mandibular alveolar bone resorption in comparison with the CON group. However, modDJB surgery contributed to the increase of bone resorption. Conclusions: Based on these results, the present study concluded that this type of induction of hypothalamic obesity was beneficial to the mandibular bone, but modDJB surgery showed malefic effects on this bone. J Endocrinol Metab. 2014;4(4):93-100 doi: http://dx.doi.org/10.14740/jem237w
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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 | 0.001 |
| 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".