Cargando…

Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva

This study aims to investigate and assess salivary biomarkers and microbial profiles as a means of diagnosing periodontitis. A total of 121 subjects were included: 28 periodontally healthy subjects, 24 with Stage I periodontitis, 24 with Stage II, 23 with Stage III, and 22 with Stage IV. Salivary pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jungwon, Lee, Jun-Beom, Song, Hyun-Young, Son, Min Jung, Li, Ling, Rhyu, In-Chul, Lee, Yong-Moo, Koo, Ki-Tae, An, Jung-Sub, Kim, Jin Sup, Kim, Eunkyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602207/
https://www.ncbi.nlm.nih.gov/pubmed/33066545
http://dx.doi.org/10.3390/diagnostics10100820
_version_ 1783603624303132672
author Lee, Jungwon
Lee, Jun-Beom
Song, Hyun-Young
Son, Min Jung
Li, Ling
Rhyu, In-Chul
Lee, Yong-Moo
Koo, Ki-Tae
An, Jung-Sub
Kim, Jin Sup
Kim, Eunkyung
author_facet Lee, Jungwon
Lee, Jun-Beom
Song, Hyun-Young
Son, Min Jung
Li, Ling
Rhyu, In-Chul
Lee, Yong-Moo
Koo, Ki-Tae
An, Jung-Sub
Kim, Jin Sup
Kim, Eunkyung
author_sort Lee, Jungwon
collection PubMed
description This study aims to investigate and assess salivary biomarkers and microbial profiles as a means of diagnosing periodontitis. A total of 121 subjects were included: 28 periodontally healthy subjects, 24 with Stage I periodontitis, 24 with Stage II, 23 with Stage III, and 22 with Stage IV. 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 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 (ROCs) 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 that achieved better diagnostic powers, with an AUC value > 0.750 for the diagnosis of Stages II, III, and IV periodontitis (Model PA-I; AUC: 0.796, sensitivity: 0.754, specificity: 0.712) and for the diagnosis of Stages III and IV periodontitis (Model PA-II; AUC: 0.796, sensitivity: 0.756, specificity: 0.868). This study can contribute to screening for periodontitis based on salivary biomarkers.
format Online
Article
Text
id pubmed-7602207
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76022072020-11-01 Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva Lee, Jungwon Lee, Jun-Beom Song, Hyun-Young Son, Min Jung Li, Ling Rhyu, In-Chul Lee, Yong-Moo Koo, Ki-Tae An, Jung-Sub Kim, Jin Sup Kim, Eunkyung Diagnostics (Basel) Article This study aims to investigate and assess salivary biomarkers and microbial profiles as a means of diagnosing periodontitis. A total of 121 subjects were included: 28 periodontally healthy subjects, 24 with Stage I periodontitis, 24 with Stage II, 23 with Stage III, and 22 with Stage IV. 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 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 (ROCs) 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 that achieved better diagnostic powers, with an AUC value > 0.750 for the diagnosis of Stages II, III, and IV periodontitis (Model PA-I; AUC: 0.796, sensitivity: 0.754, specificity: 0.712) and for the diagnosis of Stages III and IV periodontitis (Model PA-II; AUC: 0.796, sensitivity: 0.756, specificity: 0.868). This study can contribute to screening for periodontitis based on salivary biomarkers. MDPI 2020-10-14 /pmc/articles/PMC7602207/ /pubmed/33066545 http://dx.doi.org/10.3390/diagnostics10100820 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Jungwon
Lee, Jun-Beom
Song, Hyun-Young
Son, Min Jung
Li, Ling
Rhyu, In-Chul
Lee, Yong-Moo
Koo, Ki-Tae
An, Jung-Sub
Kim, Jin Sup
Kim, Eunkyung
Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title_full Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title_fullStr Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title_full_unstemmed Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title_short Diagnostic Models for Screening of Periodontitis with Inflammatory Mediators and Microbial Profiles in Saliva
title_sort diagnostic models for screening of periodontitis with inflammatory mediators and microbial profiles in saliva
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602207/
https://www.ncbi.nlm.nih.gov/pubmed/33066545
http://dx.doi.org/10.3390/diagnostics10100820
work_keys_str_mv AT leejungwon diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT leejunbeom diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT songhyunyoung diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT sonminjung diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT liling diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT rhyuinchul diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT leeyongmoo diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT kookitae diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT anjungsub diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT kimjinsup diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva
AT kimeunkyung diagnosticmodelsforscreeningofperiodontitiswithinflammatorymediatorsandmicrobialprofilesinsaliva