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Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva
Periodontitis is an infectious disease that is associated with microorganisms that colonize the tooth surface. Clinically, periodontal condition stability reflects dynamic equilibrium between bacterial challenge and host response. Therefore, periodontal pathogen assessment can assist in the early de...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257921/ https://www.ncbi.nlm.nih.gov/pubmed/30475813 http://dx.doi.org/10.1371/journal.pone.0200900 |
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author | Kim, Eun-Hye Joo, Ji-Young Lee, Yong Joo Koh, Jae-Kwon Choi, Jung-Hyeok Shin, Yerang Cho, Juok Park, Eunha Kang, Jihoon Lee, Kyusang Bhak, Jong Kim, Byung Chul Lee, Ju-Youn |
author_facet | Kim, Eun-Hye Joo, Ji-Young Lee, Yong Joo Koh, Jae-Kwon Choi, Jung-Hyeok Shin, Yerang Cho, Juok Park, Eunha Kang, Jihoon Lee, Kyusang Bhak, Jong Kim, Byung Chul Lee, Ju-Youn |
author_sort | Kim, Eun-Hye |
collection | PubMed |
description | Periodontitis is an infectious disease that is associated with microorganisms that colonize the tooth surface. Clinically, periodontal condition stability reflects dynamic equilibrium between bacterial challenge and host response. Therefore, periodontal pathogen assessment can assist in the early detection of periodontitis. Here we developed a grading system called the periodontal pathogen index (PPI) by analyzing the copy numbers of multiple pathogens both in healthy and chronic periodontitis patients. We collected 170 mouthwash samples (64 periodontally healthy controls and 106 chronic periodontitis patients) and analyzed the salivary 16S rRNA levels of nine pathogens using multiplex, quantitative real-time polymerase chain reaction. Except for Aggregatibacter actinomycetemcomitans, copy numbers of all pathogens were significantly higher in chronic periodontitis patients. We classified the samples based on optimal cut-off values with maximum sensitivity and specificity from receiver operating characteristic curve analyses (AUC = 0.91, 95% CI: 0.87–0.96) into four categories of PPI: Healthy (1–40), Moderate (41–60), At Risk (61–80), and Severe (81–100). PPI scores were significantly higher in all chronic periodontitis patients than in the controls (odds ratio: 31.7, 95% CI: 13.41–61.61) and were associated with age, scaling as well as clinical characteristics including clinical attachment level and plaque index. Our PPI grading system can be clinically useful for the early assessment of pathogenic bacterial burden and follow-up monitoring after periodontitis treatment. |
format | Online Article Text |
id | pubmed-6257921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62579212018-12-06 Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva Kim, Eun-Hye Joo, Ji-Young Lee, Yong Joo Koh, Jae-Kwon Choi, Jung-Hyeok Shin, Yerang Cho, Juok Park, Eunha Kang, Jihoon Lee, Kyusang Bhak, Jong Kim, Byung Chul Lee, Ju-Youn PLoS One Research Article Periodontitis is an infectious disease that is associated with microorganisms that colonize the tooth surface. Clinically, periodontal condition stability reflects dynamic equilibrium between bacterial challenge and host response. Therefore, periodontal pathogen assessment can assist in the early detection of periodontitis. Here we developed a grading system called the periodontal pathogen index (PPI) by analyzing the copy numbers of multiple pathogens both in healthy and chronic periodontitis patients. We collected 170 mouthwash samples (64 periodontally healthy controls and 106 chronic periodontitis patients) and analyzed the salivary 16S rRNA levels of nine pathogens using multiplex, quantitative real-time polymerase chain reaction. Except for Aggregatibacter actinomycetemcomitans, copy numbers of all pathogens were significantly higher in chronic periodontitis patients. We classified the samples based on optimal cut-off values with maximum sensitivity and specificity from receiver operating characteristic curve analyses (AUC = 0.91, 95% CI: 0.87–0.96) into four categories of PPI: Healthy (1–40), Moderate (41–60), At Risk (61–80), and Severe (81–100). PPI scores were significantly higher in all chronic periodontitis patients than in the controls (odds ratio: 31.7, 95% CI: 13.41–61.61) and were associated with age, scaling as well as clinical characteristics including clinical attachment level and plaque index. Our PPI grading system can be clinically useful for the early assessment of pathogenic bacterial burden and follow-up monitoring after periodontitis treatment. Public Library of Science 2018-11-26 /pmc/articles/PMC6257921/ /pubmed/30475813 http://dx.doi.org/10.1371/journal.pone.0200900 Text en © 2018 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Eun-Hye Joo, Ji-Young Lee, Yong Joo Koh, Jae-Kwon Choi, Jung-Hyeok Shin, Yerang Cho, Juok Park, Eunha Kang, Jihoon Lee, Kyusang Bhak, Jong Kim, Byung Chul Lee, Ju-Youn Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title | Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title_full | Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title_fullStr | Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title_full_unstemmed | Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title_short | Grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
title_sort | grading system for periodontitis by analyzing levels of periodontal pathogens in saliva |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257921/ https://www.ncbi.nlm.nih.gov/pubmed/30475813 http://dx.doi.org/10.1371/journal.pone.0200900 |
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