Title |
Microbial transformation from normal oral microbiota to acute endodontic infections
|
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Published in |
BMC Genomics, July 2012
|
DOI | 10.1186/1471-2164-13-345 |
Pubmed ID | |
Authors |
William W L Hsiao, Kevin L Li, Zhenqiu Liu, Cheron Jones, Claire M Fraser-Liggett, Ashraf F Fouad |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Spain | 1 | 17% |
France | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
France | 1 | <1% |
Germany | 1 | <1% |
Japan | 1 | <1% |
Sweden | 1 | <1% |
Unknown | 161 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 14% |
Student > Master | 21 | 13% |
Student > Ph. D. Student | 20 | 12% |
Student > Bachelor | 19 | 11% |
Other | 10 | 6% |
Other | 38 | 23% |
Unknown | 36 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 55 | 33% |
Agricultural and Biological Sciences | 31 | 19% |
Biochemistry, Genetics and Molecular Biology | 20 | 12% |
Immunology and Microbiology | 8 | 5% |
Unspecified | 3 | 2% |
Other | 9 | 5% |
Unknown | 41 | 25% |