Comparison of Periodontopathic Bacterial Profiles of Different Periodontal Disease Severity Using Multiplex Real-Time Polymerase Chain Reaction

• Main Authors: Jin Uk Choi, Jun-Beom Lee, Kyoung-Hwa Kim, Sungtae Kim, Yang-Jo Seol, Yong-Moo Lee, In-Chul Rhyu
• Format: Article
• Language: English
• Published: MDPI AG 2020-11-01
• Series: Diagnostics
• Subjects: multiplex polymerase chain reaction; periodontitis; diagnosis; bacteria; saliva; biomarkers
• Online Access: https://www.mdpi.com/2075-4418/10/11/965

Periodontopathic bacteria are known to have a pivotal role in the pathogenesis of periodontitis. The aim of the study was to quantitatively compare bacterial profile of patients with different severity of periodontal disease using samples from mouthwash and the subgingival area. Further analysis was performed to evaluate the correlation between mouthwash and two subgingival sampling methods: paperpoint and gingival retraction cord; 114 subjects enrolled in the study, and were divided equally into three groups according to disease severity. Mouthwash and subgingival sampling were conducted, and the samples were quantitatively analyzed for 11 target periodontopathic bacteria using multiplex real-time PCR. There were statistically significant differences in bacterial counts and prevalence of several species between the study groups. Mouthwash sampling showed significant correlations with two different subgingival sampling methods in regard to the detection of several bacteria (e.g., <i>ρ</i> = 0.793 for <i>Porphyromonas gingivalis</i> in severe periodontitis), implying that mouthwash sampling can reflect subgingival microbiota. However, the correlation was more prominent as disease severity increased. Although bacteria in mouthwash have potential to become a biomarker, it may be more suitable for the diagnosis of severe periodontitis, rather than early diagnosis. Further research is required for the discovery of biomarkers for early diagnosis of periodontitis.