Erica N Recker1, Kim A Brogden2, Gustavo Avila-Ortiz3, Carol L Fischer1, Keyla Pagan-Rivera4, Deborah V Dawson5, Katherine M Smith3, Satheesh Elangovan6. 1. Dows Institute of Dental Research, University of Iowa College of Dentistry, Iowa City, IA 52242, USA. 2. Dows Institute of Dental Research, University of Iowa College of Dentistry, Iowa City, IA 52242, USA; Department of Periodontics, University of Iowa College of Dentistry, Iowa City, IA 52242, USA. 3. Department of Periodontics, University of Iowa College of Dentistry, Iowa City, IA 52242, USA. 4. Biostatistics and Research Design, University of Iowa College of Dentistry, Iowa City, IA 52242, USA; Department of Biostatistics, University of Iowa College of Public Health, Iowa City, IA 52242, USA. 5. Dows Institute of Dental Research, University of Iowa College of Dentistry, Iowa City, IA 52242, USA; Biostatistics and Research Design, University of Iowa College of Dentistry, Iowa City, IA 52242, USA. 6. Department of Periodontics, University of Iowa College of Dentistry, Iowa City, IA 52242, USA. Electronic address: satheesh-elangovan@uiowa.edu.
Abstract
OBJECTIVE: Recent studies point to the clinical and research utility of saliva as a valuable diagnostic aid for monitoring periodontal health. The objectives of this study were to detect novel biomarkers attributed to chronic inflammation in saliva and to determine if the levels of these markers correlate with severity of periodontitis and with standard obesity measures in participants in a periodontal maintenance program. DESIGN: In this cross-sectional assessment of 63 participants, unstimulated whole saliva was collected after recording anthropometric and clinical parameters of obesity and periodontitis, respectively. The levels of interleukin-1 receptor antagonist (IL-1ra), sCD40L, granzyme B and alpha-fetoprotein (AFP) in saliva were determined using multiplex proteomic immunoassays. The correlation between the four tested biomarker concentrations and obesity/periodontal measures was determined. RESULTS: Positive correlation between fat% and granzyme B levels (r=0.292; p=0.020) and negative correlation between BMI and sCD40L (r=0.256; p=0.043) was observed. In addition, positive correlation between severity of periodontal disease and levels of IL1-ra (r=0.253; p=0.046) and negative correlation between periodontitis severity and sCD40L salivary levels (r=0.272; p=0.031) was noted. None of the above correlations remained statistically significant after multiple comparisons adjustment. After adjustment for clinical covariates, the relationship between sCD40L and periodontal severity remained suggestive (p=0.081). CONCLUSIONS: Levels of four novel biomarkers of periodontitis were detectable in saliva of subjects enrolled in a periodontal maintenance program. Prospective studies with larger sample sizes and other populations are warranted to explore the diagnostic applicability of these markers.
OBJECTIVE: Recent studies point to the clinical and research utility of saliva as a valuable diagnostic aid for monitoring periodontal health. The objectives of this study were to detect novel biomarkers attributed to chronic inflammation in saliva and to determine if the levels of these markers correlate with severity of periodontitis and with standard obesity measures in participants in a periodontal maintenance program. DESIGN: In this cross-sectional assessment of 63 participants, unstimulated whole saliva was collected after recording anthropometric and clinical parameters of obesity and periodontitis, respectively. The levels of interleukin-1 receptor antagonist (IL-1ra), sCD40L, granzyme B and alpha-fetoprotein (AFP) in saliva were determined using multiplex proteomic immunoassays. The correlation between the four tested biomarker concentrations and obesity/periodontal measures was determined. RESULTS: Positive correlation between fat% and granzyme B levels (r=0.292; p=0.020) and negative correlation between BMI and sCD40L (r=0.256; p=0.043) was observed. In addition, positive correlation between severity of periodontal disease and levels of IL1-ra (r=0.253; p=0.046) and negative correlation between periodontitis severity and sCD40L salivary levels (r=0.272; p=0.031) was noted. None of the above correlations remained statistically significant after multiple comparisons adjustment. After adjustment for clinical covariates, the relationship between sCD40L and periodontal severity remained suggestive (p=0.081). CONCLUSIONS: Levels of four novel biomarkers of periodontitis were detectable in saliva of subjects enrolled in a periodontal maintenance program. Prospective studies with larger sample sizes and other populations are warranted to explore the diagnostic applicability of these markers.
Authors: Satheesh Elangovan; Kim A Brogden; Deborah V Dawson; Derek Blanchette; Keyla Pagan-Rivera; Clark M Stanford; Georgia K Johnson; Erica Recker; Rob Bowers; William G Haynes; Gustavo Avila-Ortiz Journal: Int J Oral Maxillofac Implants Date: 2014 Nov-Dec Impact factor: 2.804
Authors: Paul I Eke; Bruce A Dye; Liang Wei; Gary D Slade; Gina O Thornton-Evans; Wenche S Borgnakke; George W Taylor; Roy C Page; James D Beck; Robert J Genco Journal: J Periodontol Date: 2015-02-17 Impact factor: 6.993
Authors: Thiago Morelli; Michael Stella; Silvana P Barros; Julie T Marchesan; Kevin L Moss; Steven J Kim; Ning Yu; Marcelo B Aspiras; Marilyn Ward; Steven Offenbacher Journal: J Periodontol Date: 2014-12 Impact factor: 6.993