R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics

The dysbiosis of oral microbiome (OM) precedes the clinical signs of periodontal disease. Its simple measure thus could indicate individuals at risk of periodontitis development; however, such a tool is still missing. Up to now, numerous microbial taxa were associated with periodontal health or peri...

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Main Authors: Lucie Najmanova, Lenka Sabova, Magdalena Lenartova, Tatjana Janatova, Jaroslav Mysak, Tomas Vetrovsky, Barbora Tesinska, Gabriela Balikova Novotna, Marketa Koberska, Zdenek Broukal, Jana Duskova, Stepan Podzimek, Jiri Janata
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2021.602643/full
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author Lucie Najmanova
Lenka Sabova
Magdalena Lenartova
Magdalena Lenartova
Tatjana Janatova
Jaroslav Mysak
Tomas Vetrovsky
Barbora Tesinska
Gabriela Balikova Novotna
Marketa Koberska
Zdenek Broukal
Jana Duskova
Stepan Podzimek
Jiri Janata
Jiri Janata
author_facet Lucie Najmanova
Lenka Sabova
Magdalena Lenartova
Magdalena Lenartova
Tatjana Janatova
Jaroslav Mysak
Tomas Vetrovsky
Barbora Tesinska
Gabriela Balikova Novotna
Marketa Koberska
Zdenek Broukal
Jana Duskova
Stepan Podzimek
Jiri Janata
Jiri Janata
author_sort Lucie Najmanova
collection DOAJ
description The dysbiosis of oral microbiome (OM) precedes the clinical signs of periodontal disease. Its simple measure thus could indicate individuals at risk of periodontitis development; however, such a tool is still missing. Up to now, numerous microbial taxa were associated with periodontal health or periodontitis. The outputs of most studies could, nevertheless, be slightly biased from following two reasons: First, the healthy group is often characterized only by the absence of the disease, but the individuals could already suffer from dysbiosis without any visible signs. Second, the healthy/diseased OM characteristics are frequently determined based on average data obtained for whole groups of periodontally healthy persons versus patients. Especially in smaller sets of tested individuals the typical individual variability can thus complicate the unambiguous assignment of oral taxa to respective state of health. In this work the taxonomic composition of OM was evaluated for 20 periodontally healthy individuals and 15 patients with chronic periodontitis. The narrowed selection set of the most diseased patients (confirmed by clinical parameters) and the most distant group of healthy individuals with the lowest probability of dysbiosis was determined by clustering analysis and used for identification of marker taxa. Based on their representation in each individual oral cavity we proposed the numeric index of periodontal health called R/G value. Its diagnostic potential was further confirmed using independent set of 20 periodontally healthy individuals and 20 patients with periodontitis with 95 percent of samples assigned correctly. We also assessed the individual temporal OM dynamics in periodontal health and we compared it to periodontitis. We revealed that the taxonomic composition of the system changes dynamically but generally it ranges within values typical for periodontal health or transient state, but far from values typical for periodontitis. R/G value tool, formulated from individually evaluated data, allowed us to arrange individual OMs into a continuous series, instead of two distinct groups, thus mimicking the gradual transformation of a virtual person from periodontal health to disease. The application of R/G value index thus represents a very promising diagnostic tool for early prediction of persons at risk of developing periodontal disease.
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spelling doaj.art-475ae62cd58943bf87b332ed51b52a1e2022-12-21T22:18:09ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882021-03-011110.3389/fcimb.2021.602643602643R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome DynamicsLucie Najmanova0Lenka Sabova1Magdalena Lenartova2Magdalena Lenartova3Tatjana Janatova4Jaroslav Mysak5Tomas Vetrovsky6Barbora Tesinska7Gabriela Balikova Novotna8Marketa Koberska9Zdenek Broukal10Jana Duskova11Stepan Podzimek12Jiri Janata13Jiri Janata14Institute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaInstitute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaInstitute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaDepartment of Genetics and Microbiology, Faculty of Science, Charles University, Prague, CzechiaInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, CzechiaInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, CzechiaInstitute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaInstitute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaInstitute of Microbiology v. v. i., BIOCEV, Czech Academy of Sciences, Vestec, CzechiaInstitute of Microbiology v. v. i., BIOCEV, Czech Academy of Sciences, Vestec, CzechiaInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, CzechiaInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, CzechiaInstitute of Dental Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, CzechiaInstitute of Microbiology v. v. i., Czech Academy of Sciences, Prague, CzechiaInstitute of Microbiology v. v. i., BIOCEV, Czech Academy of Sciences, Vestec, CzechiaThe dysbiosis of oral microbiome (OM) precedes the clinical signs of periodontal disease. Its simple measure thus could indicate individuals at risk of periodontitis development; however, such a tool is still missing. Up to now, numerous microbial taxa were associated with periodontal health or periodontitis. The outputs of most studies could, nevertheless, be slightly biased from following two reasons: First, the healthy group is often characterized only by the absence of the disease, but the individuals could already suffer from dysbiosis without any visible signs. Second, the healthy/diseased OM characteristics are frequently determined based on average data obtained for whole groups of periodontally healthy persons versus patients. Especially in smaller sets of tested individuals the typical individual variability can thus complicate the unambiguous assignment of oral taxa to respective state of health. In this work the taxonomic composition of OM was evaluated for 20 periodontally healthy individuals and 15 patients with chronic periodontitis. The narrowed selection set of the most diseased patients (confirmed by clinical parameters) and the most distant group of healthy individuals with the lowest probability of dysbiosis was determined by clustering analysis and used for identification of marker taxa. Based on their representation in each individual oral cavity we proposed the numeric index of periodontal health called R/G value. Its diagnostic potential was further confirmed using independent set of 20 periodontally healthy individuals and 20 patients with periodontitis with 95 percent of samples assigned correctly. We also assessed the individual temporal OM dynamics in periodontal health and we compared it to periodontitis. We revealed that the taxonomic composition of the system changes dynamically but generally it ranges within values typical for periodontal health or transient state, but far from values typical for periodontitis. R/G value tool, formulated from individually evaluated data, allowed us to arrange individual OMs into a continuous series, instead of two distinct groups, thus mimicking the gradual transformation of a virtual person from periodontal health to disease. The application of R/G value index thus represents a very promising diagnostic tool for early prediction of persons at risk of developing periodontal disease.https://www.frontiersin.org/articles/10.3389/fcimb.2021.602643/fulloral microbiomeperiodontal healthperiodontitiscore microbiometemporal dynamicstaxonomic composition
spellingShingle Lucie Najmanova
Lenka Sabova
Magdalena Lenartova
Magdalena Lenartova
Tatjana Janatova
Jaroslav Mysak
Tomas Vetrovsky
Barbora Tesinska
Gabriela Balikova Novotna
Marketa Koberska
Zdenek Broukal
Jana Duskova
Stepan Podzimek
Jiri Janata
Jiri Janata
R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
Frontiers in Cellular and Infection Microbiology
oral microbiome
periodontal health
periodontitis
core microbiome
temporal dynamics
taxonomic composition
title R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
title_full R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
title_fullStr R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
title_full_unstemmed R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
title_short R/G Value—A Numeric Index of Individual Periodontal Health and Oral Microbiome Dynamics
title_sort r g value a numeric index of individual periodontal health and oral microbiome dynamics
topic oral microbiome
periodontal health
periodontitis
core microbiome
temporal dynamics
taxonomic composition
url https://www.frontiersin.org/articles/10.3389/fcimb.2021.602643/full
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