Saliva/pathogen biomarker signatures and periodontal disease progression

The purpose of this study was to determine the role of saliva-derived biomarkers and periodontal pathogens during periodontal disease progression (PDP). One hundred human participants were recruited into a 12-month investigation. They were seen bi-monthly for saliva and clinical measures and bi-annu...

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Bibliographic Details
Published in:Journal of dental research Vol. 90; no. 6; p. 752
Main Authors: Kinney, J S, Morelli, T, Braun, T, Ramseier, C A, Herr, A E, Sugai, J V, Shelburne, C E, Rayburn, L A, Singh, A K, Giannobile, W V
Format: Journal Article
Language:English
Published: United States 01.06.2011
Subjects:
Bacterial Typing Techniques
Biofilms
Biomarkers - analysis
Chi-Square Distribution
Chronic Periodontitis - blood
Chronic Periodontitis - diagnosis
Cluster Analysis
Dental Plaque - microbiology
Disease Progression
DNA, Bacterial - analysis
Female
Gingiva - chemistry
Gingivitis - blood
Gingivitis - diagnosis
Humans
Linear Models
Male
Middle Aged
Protein Array Analysis
Statistics, Nonparametric
ISSN:1544-0591, 1544-0591
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Summary:The purpose of this study was to determine the role of saliva-derived biomarkers and periodontal pathogens during periodontal disease progression (PDP). One hundred human participants were recruited into a 12-month investigation. They were seen bi-monthly for saliva and clinical measures and bi-annually for subtraction radiography, serum and plaque biofilm assessments. Saliva and serum were analyzed with protein arrays for 14 pro-inflammatory and bone turnover markers, while qPCR was used for detection of biofilm. A hierarchical clustering algorithm was used to group study participants based on clinical, microbiological, salivary/serum biomarkers, and PDP. Eighty-three individuals completed the six-month monitoring phase, with 39 [corrected] exhibiting PDP, while 44 [corrected] demonstrated stability. Participants assembled into three clusters based on periodontal pathogens, serum and salivary biomarkers. Cluster 1 members displayed high salivary biomarkers and biofilm; 71% [corrected] of these individuals were undergoing PDP. Cluster 2 members displayed low biofilm and biomarker levels; 76% [corrected] of these individuals were stable. Cluster 3 members were not discriminated by PDP status; however, cluster stratification followed groups 1 and 2 based on thresholds of salivary biomarkers and biofilm pathogens. The association of cluster membership to PDP was highly significant (p < 0.0007). [corrected] The use of salivary and biofilm biomarkers offers potential for the identification of PDP or stability (ClinicalTrials.gov number, CT00277745).
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ISSN:1544-0591
1544-0591
DOI:10.1177/0022034511399908