Literature DB >> 17199543

Comparison of subgingival bacterial sampling with oral lavage for detection and quantification of periodontal pathogens by real-time polymerase chain reaction.

Khalil Boutaga1, Paul H M Savelkoul, Edwin G Winkel, Arie J van Winkelhoff.   

Abstract

BACKGROUND: Saliva has been studied for the presence of subgingival pathogens in periodontitis patients. With the anaerobic culture technique, the discrepancy between salivary recovery and subgingival presence has been significant, which makes this approach not suitable for practical use in the microbial diagnosis of periodontitis patients. The real-time polymerase chain reaction (PCR) technique represents a very sensitive technique to detect and quantify bacterial pathogens. The aim of the study was to compare the presence and numbers of Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis, Tannerella forsythensis, Prevotella intermedia, and Micromonas micros in subgingival plaque and mouthwash samples by the anaerobic culture and real-time PCR techniques.
METHODS: Pooled subgingival plaque samples and 10-ml mouthwash samples were collected from 21 adult patients with periodontitis and analyzed by quantitative anaerobic culture and real-time PCR for A. actinomycetemcomitans, P. gingivalis, T. forsythensis, P. intermedia, and M. micros.
RESULTS: The detection frequency of A. actinomycetemcomitans, P. gingivalis, and T. forsythensis in subgingival plaque was identical by culture and real-time PCR and was higher for P. intermedia and M. micros by real-time PCR. The highest detection frequencies for the target bacteria were found in mouthwash samples by real-time PCR. The additional value of the real-time PCR to detect target bacteria was 38% for P. gingivalis, 73% for T. forsythensis, 77% for P. intermedia, and 71% for M. micros. The sensitivity to detect target species in mouthwash by real-time PCR was 100% for all test species except for P. intermedia (93.8%).
CONCLUSIONS: Rapid detection and quantification of periodontal pathogens in mouthwash samples are possible by real-time PCR. The procedure is significantly less time-consuming than subgingival sampling with paper points. This approach to detect major periodontal pathogens in mouthwash samples may simplify microbial diagnosis in periodontitis patients and may be used to monitor periodontal treatment.

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Year:  2007        PMID: 17199543     DOI: 10.1902/jop.2007.060078

Source DB:  PubMed          Journal:  J Periodontol        ISSN: 0022-3492            Impact factor:   6.993


  45 in total

1.  Quantitative analysis of microbiota in saliva, supragingival, and subgingival plaque of Chinese adults with chronic periodontitis.

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Journal:  Clin Oral Investig       Date:  2011-12-16       Impact factor: 3.573

2.  Use of quantitative PCR and culture methods to characterize ecological flux in bacterial biofilms.

Authors:  F Dalwai; D A Spratt; J Pratten
Journal:  J Clin Microbiol       Date:  2007-06-27       Impact factor: 5.948

3.  Diagnostic evaluation of a nanobody with picomolar affinity toward the protease RgpB from Porphyromonas gingivalis.

Authors:  Peter Durand Skottrup; Paul Leonard; Jakub Zbigniew Kaczmarek; Florian Veillard; Jan Johannes Enghild; Richard O'Kennedy; Aneta Sroka; Rasmus Prætorius Clausen; Jan Potempa; Erik Riise
Journal:  Anal Biochem       Date:  2011-04-20       Impact factor: 3.365

4.  Tracking vaginal, anal and oral infection in a mouse papillomavirus infection model.

Authors:  Jiafen Hu; Lynn R Budgeon; Nancy M Cladel; Karla Balogh; Roland Myers; Timothy K Cooper; Neil D Christensen
Journal:  J Gen Virol       Date:  2015-12       Impact factor: 3.891

5.  Classifying tissue samples from measurements on cells with within-class tissue sample heterogeneity.

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6.  Evaluation of a new oral health scale of infectious potential based on the salivary microbiota.

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Review 7.  Microbial shift and periodontitis.

Authors:  Alex B Berezow; Richard P Darveau
Journal:  Periodontol 2000       Date:  2011-02       Impact factor: 7.589

8.  Quantification of Selenomonas sputigena in Chronic Periodontitis in Smokers Using 16S rDNA Based PCR Analysis.

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Journal:  J Clin Diagn Res       Date:  2015-04-01

9.  Prediction using hierarchical data: Applications for automated detection of cervical cancer.

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Review 10.  Molecular microbial diagnosis.

Authors:  Bruce J Paster; Floyd E Dewhirst
Journal:  Periodontol 2000       Date:  2009       Impact factor: 7.589

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