Crevicular fluid biomarkers and periodontal disease progression

被引:181
作者
Kinney, Janet S. [1 ,2 ]
Morelli, Thiago [1 ,2 ]
Oh, Min [1 ,2 ]
Braun, Thomas M. [3 ]
Ramseier, Christoph A. [4 ]
Sugai, Jim V. [1 ,2 ]
Giannobile, William V. [1 ,2 ,5 ]
机构
[1] Univ Michigan, Sch Dent, Dept Periodont & Oral Med, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Dent, Michigan Ctr Oral Hlth Res, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Sch Publ Hlth, Dept Biostat, Ann Arbor, MI 48109 USA
[4] Univ Bern, Sch Dent Med, Dept Periodontol, Bern, Switzerland
[5] Univ Michigan, Dept Biomed Engn, Coll Engn, Ann Arbor, MI 48109 USA
关键词
biomarkers; disease progression; gingival crevicular fluid; longitudinal; periodontitis; SALIVARY BIOMARKERS; PORPHYROMONAS-GINGIVALIS; PROTEOMIC ANALYSIS; RISK-FACTOR; IDENTIFICATION; PREVALENCE; INDICATORS; DISCOVERY; PATHOGENS; MARKERS;
D O I
10.1111/jcpe.12194
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
AimAssess the ability of a panel of gingival crevicular fluid (GCF) biomarkers as predictors of periodontal disease progression (PDP). Materials and methodsIn this study, 100 individuals participated in a 12-month longitudinal investigation and were categorized into four groups according to their periodontal status. GCF, clinical parameters and saliva were collected bi-monthly. Subgingival plaque and serum were collected bi-annually. For 6months, no periodontal treatment was provided. At 6months, patients received periodontal therapy and continued participation from 6 to 12months. GCF samples were analysed by ELISA for MMP-8, MMP-9, Osteoprotegerin, C-reactive Protein and IL-1. Differences in median levels of GCF biomarkers were compared between stable and progressing participants using Wilcoxon Rank Sum test (p=0.05). Clustering algorithm was used to evaluate the ability of oral biomarkers to classify patients as either stable or progressing. ResultsEighty-three individuals completed the 6-month monitoring phase. With the exception of GCF C-reactive protein, all biomarkers were significantly higher in the PDP group compared to stable patients. Clustering analysis showed highest sensitivity levels when biofilm pathogens and GCF biomarkers were combined with clinical measures, 74% (95% CI=61, 86). ConclusionsSignature of GCF fluid-derived biomarkers combined with pathogens and clinical measures provides a sensitive measure for discrimination of PDP (ClinicalTrials.gov NCT00277745).
引用
收藏
页码:113 / 120
页数:8
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