Evaluation of gingival crevicular fluid and peri-implant crevicular fluid levels of sclerostin, TWEAK, RANKL and OPG. (January 2019)

• Record Type: Journal Article
• Authors: Yakar, Nil; Guncu, Guliz N.; Akman, Abdullah C.; Pınar, Aslı; Karabulut, Erdem; Nohutcu, Rahime M.
• Is Part Of: Cytokine. Volume 113(2019)
• Page Start: 433
• Page End: 439
• Publication Date: 2019-01
• Subjects: Dental implants -- Inflammation -- Pathogenesis; PICF peri-implant crevicular fluid -- GCF gingival crevicular fluid -- GI gingival index -- PI plaque index -- GBTI gingival bleeding time index -- PD probing depth; Cytokines -- Periodicals; 571.844
• DOI: 10.1016/j.cyto.2018.10.021
• Languages: English
• ISSNs: 1043-4666

Abstract

Abstract: Background: The combination of local and systemic factors play role in the pathogenesis of periodontal and peri-implant diseases. Host-derived enzymes, cytokines and other proinflammatory mediators play an integral role in this destruction. The aim of this study is to evaluate gingival crevicular fluid (GCF) and peri-implant crevicular (PICF) fluid levels of sclerostin, TNF-related weak inducer of apoptosis (TWEAK), receptor activator of nuclear factor kappa-beta ligand (RANKL) and osteoprotegerin OPG in periodontal and peri-implant tissues in disease and health conditions and also to assess the potential for use as biomarkers. Materials and methods: The study population was consisted of 50 women and 41 men, in the total of 91 individuals, with a mean age of 51.84 ± 14.05. Periodontitis (n = 22), periodontal health (n = 17), peri-implantitis (n = 27) and peri-implant health (n = 25) groups were established according to clinical and radiographic examination results of 39 teeth and 52 implants restored with fixed prosthetic restorations. In all groups, periodontal and peri-implant parameters (probing depth, gingival recession, gingival bleeding time index, gingival index, and plaque index) were recorded and GCF and PICF samples were also collected. Sclerostin, TWEAK, RANKL and OPG levels in GCF and PICF were measured with ELISA tests. Results: Peri-implantitis group presented significantly higher levels of Sclerostin (p = 0.002), TWEAK(p < 0.0001), RANKL(p < 0.0001), and OPG (p = 0.037) compared to peri-implant health group. Similarly, significantly higher levels of TWEAK (p = 0.001), RANKL(p < 0.0001), and OPG(p = 0.025) were detected in periodontitis group when compared to periodontal health group. Statistically significant correlations were also noted between biochemical parameters and clinical parameters. Conclusion: Findings of this study evaluating four different bone metabolism related proteins at the same time, suggests levels of sclerostin may be a biomarker for peri-implant disease presenting significantly higher levels in the peri-implantitis group than in the peri-implant health group. Moreover, levels of TWEAK can be a good indicator for both periodontal and peri-implant disease, due to the correlations with periodontal clinical parameters and the higher levels of TWEAK in diseased sites compared to the healthy sites for both dental implants and teeth.