Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Diagnostic Models for Screening of Chronic Periodontitis with Cytokines and Microbiologic Profiles in Saliva

Version 1 : Received: 1 September 2020 / Approved: 3 September 2020 / Online: 3 September 2020 (04:43:01 CEST)

How to cite: Lee, J.; Lee, J.; Song, H.; Son, M.J.; Li, L.; Rhyu, I.; Lee, Y.; Koo, K.; An, J.; Kim, J.S.; Kim, E. Diagnostic Models for Screening of Chronic Periodontitis with Cytokines and Microbiologic Profiles in Saliva. Preprints 2020, 2020090054 (doi: 10.20944/preprints202009.0054.v1). Lee, J.; Lee, J.; Song, H.; Son, M.J.; Li, L.; Rhyu, I.; Lee, Y.; Koo, K.; An, J.; Kim, J.S.; Kim, E. Diagnostic Models for Screening of Chronic Periodontitis with Cytokines and Microbiologic Profiles in Saliva. Preprints 2020, 2020090054 (doi: 10.20944/preprints202009.0054.v1).

Abstract

This study was to investigate and assess salivary biomarkers as a means of diagnosing periodontitis. A total of 121 subjects were included: 28 periodontally healthy subjects, 24 with stage I, 24 with stage II, 23 with stage III, and 22 with stage IV periodontitis. Salivary proteins including active matrix metalloproteinase-8 (MMP-8), pro-MMP-8, total MMP-8, C-reactive protein, secretory immunoglobulin A and planktonic bacteria including Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Fusobacterium nucleatum, Prevotella intermedia, Porphyromonas nigrescens, Parvimonas micra, Campylobacter rectus, Eubacterium nodatum, Eikenella corrodens, Streptococcus mitis, Streptococcus mutans, Staphylococcus aureus, Enterococcus faecalis, and Actinomyces viscosus were measured from salivary samples. The performance of the diagnostic models was assessed by receiver operating characteristics (ROC) and area under the ROC curve (AUC) analysis. The diagnostic models were constructed based on the subjects’ proteins and/or microbial profiles, resulting in two potential diagnosis models, which achieved better diagnostic powers with an AUC value > 0.750 for the diagnosis of stage II, III, and IV periodontitis (Model PC-I; AUC: 0.796, sensitivity: 0.754, specificity: 0.712) and for the diagnosis of stage III and IV periodontitis (Model PC-II; AUC: 0.796, sensitivity: 0.756, specificity: 0.868). This study can contribute to screening for periodontitis based on salivary biomarkers.

Subject Areas

periodontitis; diagnosis; saliva; biomarkers; matrix metalloproteinase; cytokines.

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