CyPA and Emmprin play a role in peri‐implantitis
Bibliographic record
Abstract
BACKGROUND: Cyclophilin A (CyPA) and Emmprin play important roles in peri-implantitis. However, their roles in the diagnosis and treatment of the disease are still unclear. PURPOSE: The aim of this split-mouth animal study was to describe variable trends of biomarkers during the progression of peri-implantitis and to define relationships among CyPA, Emmprin, and peri-implantitis. MATERIALS AND METHODS: Six male adult Labradors were used. The mandibular premolars and the first molar were extracted, and sixteen implants were placed after 3 months. Peri-implantitis was induced around the implants on one side, which were the test group, and the implants on the other side were included in the control group. Clinical parameters such as probing depth, gingival index, and bleeding index and periapical X-rays were recorded at weeks 0, 2, 4, 6, 8, 10, and 12. Peri-implant crest fluid (PICF) and gingiva around the implants were collected and analyzed by ELISA and real-time PCR, respectively. RESULTS: The clinical parameters of the test group indicated severe inflammation around the implants. Radiographs showed obvious bone loss beginning at week 4, and it continued over time. The concentration of CyPA in the peri-implantitis group increased at first and then decreased beginning at week 6, and the concentration of Emmprin decreased at first and then increased beginning at week 6. Emmprin, matrix metalloproteinase-9 and Tissue Inhibitor of Metalloproteinase-1 showed similar changes over time. CyPA showed a consistent trend with Interleukin-1β, but showed an opposite trend to Transforming growth factor-β. Both the concentration of CyPA in PICF and gene expression in gingival tissue increased before bone absorption occurred. CONCLUSION: Despite the limitations of this study, CyPA may be an early signal for peri-implantitis. A CyPA-Emmprin interaction exists in peri-implantitis and is Emmprin-dependent. Emmprin is related to clinical attachment loss in peri-implantitis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".