Literature DB >> 22030151

Salivary biomarkers for predicting the progression of chronic periodontitis.

Yoshiaki Nomura1, Yasuko Shimada, Nobuhiro Hanada, Yukihiro Numabe, Kyuichi Kamoi, Tsutomu Sato, Kazuhiro Gomi, Takashi Arai, Koji Inagaki, Mitsuo Fukuda, Toshihide Noguchi, Hiromasa Yoshie.   

Abstract

OBJECTIVE: Predicting the progression of periodontitis would allow for targeted supportive periodontal therapy. The purpose of this study was to determine the usefulness of salivary biomarkers for predicting the progression of periodontitis.
DESIGN: Eighty-five chronic periodontitis patients were enrolled in an 18-month longitudinal study. Amongst them, 57 experienced progression of periodontitis, indicated at the end of the 18 months by at least one site with >3mm loss of attachment compared with baseline. We determined the levels of aspartate aminotransferase, alanine aminotransferase (ALT), lactate dehydrogenase, alkaline phosphatase and free haemoglobin as biomarkers, as well as the counts of Porphyromonas gingivalis, Prevotella intermedia and Tannerella forsythia, which represented the periodontal bacteria, in the stimulated saliva. The Mann-Whitney U test was used to compare patients with and without progression. After categorising the diagnostic values, the chi-square test was applied.
RESULTS: Counts and ratios (ratio to total bacteria) of P. gingivalis and P. intermedia were found to be significant predictors of the progression of periodontitis. To increase prediction accuracy, combination analyses were performed. The combination of ALT level and the P. gingivalis ratio showed the highest likelihood (p<0.001, sensitivity 0.40, specificity 0.96, likelihood 11.30).
CONCLUSION: Our findings suggest that salivary ALT level and the P. gingivalis ratio may be potential indicators for the progression of periodontitis. Such a salivary test could be a useful diagnostic tool for predicting periodontal disease progression.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22030151     DOI: 10.1016/j.archoralbio.2011.09.011

Source DB:  PubMed          Journal:  Arch Oral Biol        ISSN: 0003-9969            Impact factor:   2.633


  26 in total

1.  Salivary biomarkers associated with myocardial necrosis: results from an alcohol septal ablation model.

Authors:  Joseph D Foley; J Darrell Sneed; Steven R Steinhubl; Justin R Kolasa; Jeffrey L Ebersole; Yushun Lin; Richard J Kryscio; John T McDevitt; Charles L Campbell; Craig S Miller
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2012-09-28

2.  Prevalence of periodontal pathogens as predictor of the evolution of periodontal status.

Authors:  Miriam Puig-Silla; José María Montiel-Company; Francisco Dasí-Fernández; José Manuel Almerich-Silla
Journal:  Odontology       Date:  2016-11-25       Impact factor: 2.634

3.  [Saliva of periodontitis patients promotes macrophage differentiation and activation].

Authors:  Xiao-Ying Li; Qian Li; Bo-Miao Cui; Li-Wei Wang; Ya-Ping Fan; Jiao Chen; Yun Feng; Ping Zhang
Journal:  Hua Xi Kou Qiang Yi Xue Za Zhi       Date:  2018-10-01

4.  Crevicular fluid biomarkers and periodontal disease progression.

Authors:  Janet S Kinney; Thiago Morelli; Min Oh; Thomas M Braun; Christoph A Ramseier; Jim V Sugai; William V Giannobile
Journal:  J Clin Periodontol       Date:  2013-12-12       Impact factor: 8.728

5.  Correlation between health-care costs and salivary tests.

Authors:  Erika Kakuta; Yoshiaki Nomura; Yoshinobu Naono; Keizo Koresawa; Keita Shimizu; Nobuhiro Hanada
Journal:  Int Dent J       Date:  2013-05-17       Impact factor: 2.607

6.  Diagnostic Accuracy of Salivary Biomarkers including Lactate Dehydrogenase and Hemoglobin A1c for Screening Chronic Periodontitis.

Authors:  Somaye Ansari Moghadam; Fateme Soude Ahmadi Moghadam; Ebrahim Alijani
Journal:  Dis Markers       Date:  2022-04-26       Impact factor: 3.464

7.  Comparison of saliva interleukin-2 concentration to the condition of gums in children with acute lymphoblastic leukaemia during anti-tumour treatment.

Authors:  Elżbieta Pels
Journal:  Cancer Chemother Pharmacol       Date:  2015-05-16       Impact factor: 3.333

Review 8.  Salivary biomarker development using genomic, proteomic and metabolomic approaches.

Authors:  Nicolai J Bonne; David Tw Wong
Journal:  Genome Med       Date:  2012-10-30       Impact factor: 11.117

Review 9.  Point-of-care diagnosis of periodontitis using saliva: technically feasible but still a challenge.

Authors:  Suk Ji; Youngnim Choi
Journal:  Front Cell Infect Microbiol       Date:  2015-09-03       Impact factor: 5.293

Review 10.  Oral fluid based biomarkers in periodontal disease: part 1. Saliva.

Authors:  Hani S AlMoharib; Abdulrahman AlMubarak; Raed AlRowis; Amrita Geevarghese; R S Preethanath; Sukumaran Anil
Journal:  J Int Oral Health       Date:  2014-07
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