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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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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Abstract	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).
AbstractList	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). 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).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).
Author	Morelli, T Ramseier, C A Kinney, J S Giannobile, W V Herr, A E Rayburn, L A Singh, A K Braun, T Sugai, J V Shelburne, C E
Author_xml	– sequence: 1 givenname: J S surname: Kinney fullname: Kinney, J S organization: Department of Periodontics and Oral Medicine, Michigan Center for Oral Health Research, University of Michigan School of Dentistry, 24 Frank Lloyd Wright Dr., Lobby M, Box 422, Ann Arbor, MI 48106 USA – sequence: 2 givenname: T surname: Morelli fullname: Morelli, T – sequence: 3 givenname: T surname: Braun fullname: Braun, T – sequence: 4 givenname: C A surname: Ramseier fullname: Ramseier, C A – sequence: 5 givenname: A E surname: Herr fullname: Herr, A E – sequence: 6 givenname: J V surname: Sugai fullname: Sugai, J V – sequence: 7 givenname: C E surname: Shelburne fullname: Shelburne, C E – sequence: 8 givenname: L A surname: Rayburn fullname: Rayburn, L A – sequence: 9 givenname: A K surname: Singh fullname: Singh, A K – sequence: 10 givenname: W V surname: Giannobile fullname: Giannobile, W V
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SubjectTerms	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
Title	Saliva/pathogen biomarker signatures and periodontal disease progression
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