<scp>Matrix metalloproteinase‐</scp>7 in periodontitis with type 2 diabetes mellitus
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Elevated levels of matrix metalloproteinase-7 (MMP7) have been observed in serum samples of subjects with type 2 diabetes mellitus (T2DM) and in gingival tissues of subjects with periodontitis. The aim of the present study was to collect in vivo and in silico evidence on the role of MMP7 in the interplay between T2DM and generalized periodontitis (GP). MATERIAL AND METHODS: The extent of MMP7 expression and localization were immunohistochemically analyzed in gingival tissues of patients with GP with T2DM (T2DM/GP, n = 11), systemically healthy patients with GP (n = 7), and systemically and periodontally healthy controls (n = 11). An in silico network model was built to determine the interactions between MMP7 and T2DM pathways. Regulation of neutrophil transmigration by MMP7 was analyzed in a knock-out mice model. RESULTS: In human gingival tissues, the proportion of cells with robust MMP7 expression was elevated in patients with T2DM/GP in comparison to controls (P = .014). According to the in silico analysis, "hydroxyl radical" and "hydrogen peroxide" compounds were among the most central nodes of the network, and were within the shortest paths connecting "glucose" to "MMP7." In MMP7 knock-out mice, an intense accumulation of neutrophils was observed in the gingival epithelium as compared to wild-type mice (P = .0001). CONCLUSION: Elevated MMP7 expression in gingival tissues of patients with T2DM/GP is related to the activation of reactive oxygen species by hyperglycemia. Suppression of MMP7 expression results in impaired neutrophil transmigration in gingiva.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".