Protein biomarkers and microbial profiles in peri-implantitis

Objectives The aim of the present investigation was to determine the profile of peri‐implant crevicular fluid (PICF) biomarkers combined with microbial profiles from implants with healthy peri‐implant tissues and peri‐implantitis to assess real‐time disease activity. Material and methods Sixty‐eight...

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Bibliographic Details
Published in:	Clinical oral implants research Vol. 27; no. 9; pp. 1129 - 1136
Main Authors:	Wang, Hom-Lay, Garaicoa-Pazmino, Carlos, Collins, Amy, Ong, Hwen-Sei, Chudri, Rini, Giannobile, William V.
Format:	Journal Article
Language:	English
Published:	Denmark Blackwell Publishing Ltd 01-09-2016
Subjects:	Adult Aged Aged, 80 and over Bacteroides forsythus Biomarkers - analysis Cross-Sectional Studies dental implant microbiology Dentistry Female Gingival Crevicular Fluid - chemistry Gingival Recession - microbiology Humans Interleukin-1beta - analysis Male Matrix Metalloproteinase 8 - analysis Middle Aged Osteoprotegerin - analysis peri-implant crevicular fluid peri-implant disease Peri-Implantitis - metabolism Peri-Implantitis - microbiology Porphyromonas gingivalis Prevotella intermedia salivary diagnostics Tissue Inhibitor of Metalloproteinase-2 - analysis Treponema denticola Vascular Endothelial Growth Factor A - analysis peri-implant crevicular fluid dental implant microbiology salivary diagnostics peri-implant disease
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Summary:	Objectives The aim of the present investigation was to determine the profile of peri‐implant crevicular fluid (PICF) biomarkers combined with microbial profiles from implants with healthy peri‐implant tissues and peri‐implantitis to assess real‐time disease activity. Material and methods Sixty‐eight patients were included in this cross‐sectional study. They were divided into two groups: 34 patients with at least one healthy implant (control) and 34 with at least one peri‐implantitis affected implant (test). Total DNA content and qPCR analysis for periodontal bacteria obtained from subgingival plaque samples (Aggregatibacter actinomycetemcomitans, Prevotella intermedia, Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola) and a PICF analysis for IL‐1β, VEGF, MMP‐8, TIMP‐2, and OPG were performed. The individual and combined diagnostic ability of each biomarker for peri‐implantitis and target bacterial species were analyzed. Results The mean concentration of IL‐1β (44.6 vs. 135.8 pg/ml; P < 0.001), TIMP‐2 (5488.3 vs. 9771.8 pg/ml; P = 0.001), VEGF (59.1 vs. 129.0 pg/ml; P = 0.012), and OPG (66.5 vs. 111.7 pg/ml; P = 0.050) was increased in the peri‐implantitis patients. The mean expression of MMP‐8 (6029.2 vs. 5943.1 pg/ml; P = 0.454) and did not reveal a meaningful difference among groups. Total bacterial DNA of selected microorganisms was associated with a threefold or greater increase in peri‐implantitis although no statistical significant difference. The ability to diagnose diseased sites was enhanced by T. denticola combined with IL‐1β, VEGF, and TIMP‐2 PICF levels. Conclusion The present data suggest that the increased levels of the selected PICF‐derived biomarkers of periodontal tissue inflammation, matrix degradation/regulation, and alveolar bone turnover/resorption combined with site‐specific microbial profiles may be associated with peri‐implantitis and could have potential as predictors of peri‐implant diseases.
Bibliography:	University of Michigan Periodontal Graduate Student Research Fund istex:93689AEF9E0D3FFB74B708785207C0EF6EC55FE1 ark:/67375/WNG-W1D2GPK3-4 ArticleID:CLR12708 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0905-7161 1600-0501
DOI:	10.1111/clr.12708