Microbial transformation from normal oral microbiota to acute endodontic infections

Background Endodontic infections are a leading cause of oro-facial pain and tooth loss in western countries, and may lead to severe life-threatening infections. These infections are polymicrobial with high bacterial diversity. Understanding the spatial transition of microbiota from normal oral cavit...

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Vydáno v:	BMC genomics Ročník 13; číslo 1; s. 345
Hlavní autoři:	Hsiao, William W L, Li, Kevin L, Liu, Zhenqiu, Jones, Cheron, Fraser-Liggett, Claire M, Fouad, Ashraf F
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 28.07.2012 BioMed Central Ltd Springer Nature B.V BMC
Témata:	16S rRNA gene Acute Disease Analysis Analysis of Variance Animal Genetics and Genomics Bacteria Bacteria - genetics Bacterial diversity Bacterial Infections - microbiology Biodiversity Bioinformatics Biomedical and Life Sciences Confidence Intervals Dental Pulp Cavity - microbiology Dental Pulp Cavity - pathology Development and progression Disease DNA, Bacterial - classification DNA, Bacterial - isolation & purification Endodontic infection Endodontic microbiome Eubacterium Facial pain Female Fusobacterium Genetic aspects Genomes Genomics Granulicatella adiacens Health aspects Health care Humans Infection Infections Life Sciences Male Metagenome - genetics Microarrays Microbial Genetics and Genomics Microbiology Microbiota (Symbiotic organisms) Molecular Sequence Annotation Mouth Mucosa - microbiology Mouth Mucosa - pathology Next generation sequencing Oral microbiota Orofacial pain Periapical abscess Periapical Abscess - microbiology Phylogeny Physiological aspects Plant Genetics and Genomics Prevotella Prevotella melaninogenica Prokaryote microbial genomics Proteomics Research Article RNA Root canal therapy Sequence Analysis, DNA Software Species Specificity Streptococcus Streptococcus mitis Studies Taxonomy Teeth United States United States > US Endodontic microbiome Bacterial diversity Oral microbiota Endodontic infection Next generation sequencing Periapical abscess 16S rRNA gene
ISSN:	1471-2164, 1471-2164
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Popis
Shrnutí:	Background Endodontic infections are a leading cause of oro-facial pain and tooth loss in western countries, and may lead to severe life-threatening infections. These infections are polymicrobial with high bacterial diversity. Understanding the spatial transition of microbiota from normal oral cavities through the infected root canal to the acute periapical abscess can improve our knowledge of the pathogenesis of endodontic infections and lead to more effective treatment. We obtained samples from the oral cavity, infected root canal and periapical abscess of 8 patients (5 with localized and 3 with systemic infections). Microbial populations in these samples were analyzed using next-generation sequencing of 16S rRNA amplicons. Bioinformatics tools and statistical tests with rigorous criteria were used to elucidate the spatial transition of the microbiota from normal to diseased sites. Results On average, 10,000 partial 16S rRNA gene sequences were obtained from each sample. All sequences fell into 11 different bacterial phyla. The microbial diversity in root canal and abscess samples was significantly lower than in the oral samples. Streptococcus was the most abundant genus in oral cavities while Prevotella and Fusobacterium were most abundant in diseased samples. The microbiota community structures of root canal and abscess samples were, however, more similar to each other than to the oral cavity microbiota. Using rigorous criteria and novel bioinformatics tools, we found that Granulicatella adiacens, Eubacterium yurii, Prevotella melaninogenica, Prevotella salivae, Streptococcus mitis, and Atopobium rimae were over-represented in diseased samples. Conclusions We used a novel approach and high-throughput methodologies to characterize the microbiota associated normal and diseased oral sites in the same individuals.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	1471-2164 1471-2164
DOI:	10.1186/1471-2164-13-345