Upregulation of microRNA-223 expression in gingival crevicular blood of women with gestational diabetes mellitus and periodontitis
Bibliographic record
Abstract
Background/Purpose: MicroRNA-223 (miR-223) is involved in several inflammatory diseases, including gestational diabetes mellitus (GDM) and periodontitis. We first described a procedure for purifying miR-223 from gingival crevicular blood (GCB) of pregnant women with or without GDM and periodontitis. This study aimed to determine whether GDM and/or periodontitis modifies miR-223 expression in pregnant women and to analyze miR-223-targeted messenger RNA (mRNA) expression levels in GCB compared to peripheral blood (PB). Materials and methods: Pregnant women were allocated to 4 groups: 10 women with GDM and periodontitis (GDM/P), 10 women with GDM without periodontitis (GDM/NP), 9 women with periodontitis and without GDM (NGDM/P) and 10 women without either condition (NGDM/NP). Clinical parameters of GDM and periodontal status were examined. GCB and PB were collected to assess miR-223, ICAM-1, IL-1β and β1-integrin gene expression by quantitative real-time polymerase chain reaction. Results: = 0.04). In contrast, the GDM/P showed the lowest miR-223 expression level in PB among the 4 groups. Moreover, ICAM-1 and IL-1β mRNA expression exhibited the opposite trend of miRNA-223, indicating that miRNA-223 might regulate the mRNA function of those genes by epigenetic events. Conclusion: The upregulation of miR-223 expression in GCB but downregulation in PB, ICAM-1 and IL-1β genes expression in women with GDM and periodontitis suggest a promising role of miR-223 in the association between GDM and periodontitis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".