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- Title
Peri-implant crevicular fluid biomarkers as discriminants of peri-implant health and disease.
- Authors
Zani, Sabrina Rebollo; Moss, Kevin; Shibli, Jamil Awad; Teixeira, Eduardo Rolim; Oliveira Mairink, Renata; Onuma, Tatiana; Feres, Magda; Teles, Ricardo Palmier
- Abstract
Aim The objective of this cross-sectional study was to examine the potential of peri-implant crevicular fluid ( PICF) analytes to discriminate between peri-implant health and disease using a multi-biomarker approach. Methods We collected PICF samples from the mesio-buccal site of every implant ( n = 145) from 52 subjects with peri-implantitis and measured the levels of 20 biomarkers using Luminex. We grouped implants and subjects based on the clinical characteristic of the sampled sites and implants into: healthy sites from healthy implants ( HH), diseased sites from diseased implants ( DD) and healthy sites from diseased implants ( HD). The significance of the differences between the HH and DD groups was determined using general linear models controlling for false discovery rate. We used logistic regression to determine the best multi-biomarker models that could distinguish HH from DD subjects and HH from HD subjects. Results There were statistically significant differences between HH and DD groups for 12/20 biomarkers. Logistic regression resulted in a 6-biomarker model (Flt-3L, GM- CSF, IL-10, sCD40L, IL-17 and TNFα) that discriminated HH from DD subjects ( AUC = 0.93) and a 3-biomarker model ( IL-17, IL-1ra and vascular endothelial growth factor) that distinguished HH from DD subjects ( AUC = 0.90). Conclusion PICF biomarkers might help discriminate peri-implant health from disease.
- Subjects
INFLAMMATION; DENTAL implants; BIOMARKERS; FISHER exact test; RESEARCH funding; T-test (Statistics); CROSS-sectional method; RECEIVER operating characteristic curves; DATA analysis software; DESCRIPTIVE statistics; DIAGNOSIS
- Publication
Journal of Clinical Periodontology, 2016, Vol 43, Issue 10, p825
- ISSN
0303-6979
- Publication type
Article
- DOI
10.1111/jcpe.12586