Specified species in gingival crevicular fluid predict bacterial diversity.

BACKGROUND: Analysis of gingival crevicular fluid (GCF) samples may give information of unattached (planktonic) subgingival bacteria. Our study represents the first one targeting the identity of bacteria in GCF. METHODOLOGY/PRINCIPAL FINDINGS: We determined bacterial species diversity in GCF samples...

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Main Authors: Sirkka Asikainen, Başak Doğan, Zeynep Turgut, Bruce J Paster, Aysen Bodur, Jan Oscarsson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2963608?pdf=render
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spelling doaj-de280db178a94631a3898705381e3f182020-11-25T01:00:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-01-01510e1358910.1371/journal.pone.0013589Specified species in gingival crevicular fluid predict bacterial diversity.Sirkka AsikainenBaşak DoğanZeynep TurgutBruce J PasterAysen BodurJan OscarssonBACKGROUND: Analysis of gingival crevicular fluid (GCF) samples may give information of unattached (planktonic) subgingival bacteria. Our study represents the first one targeting the identity of bacteria in GCF. METHODOLOGY/PRINCIPAL FINDINGS: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. CONCLUSIONS/SIGNIFICANCE: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms.http://europepmc.org/articles/PMC2963608?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Sirkka Asikainen
Başak Doğan
Zeynep Turgut
Bruce J Paster
Aysen Bodur
Jan Oscarsson
spellingShingle Sirkka Asikainen
Başak Doğan
Zeynep Turgut
Bruce J Paster
Aysen Bodur
Jan Oscarsson
Specified species in gingival crevicular fluid predict bacterial diversity.
PLoS ONE
author_facet Sirkka Asikainen
Başak Doğan
Zeynep Turgut
Bruce J Paster
Aysen Bodur
Jan Oscarsson
author_sort Sirkka Asikainen
title Specified species in gingival crevicular fluid predict bacterial diversity.
title_short Specified species in gingival crevicular fluid predict bacterial diversity.
title_full Specified species in gingival crevicular fluid predict bacterial diversity.
title_fullStr Specified species in gingival crevicular fluid predict bacterial diversity.
title_full_unstemmed Specified species in gingival crevicular fluid predict bacterial diversity.
title_sort specified species in gingival crevicular fluid predict bacterial diversity.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2010-01-01
description BACKGROUND: Analysis of gingival crevicular fluid (GCF) samples may give information of unattached (planktonic) subgingival bacteria. Our study represents the first one targeting the identity of bacteria in GCF. METHODOLOGY/PRINCIPAL FINDINGS: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. CONCLUSIONS/SIGNIFICANCE: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms.
url http://europepmc.org/articles/PMC2963608?pdf=render
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