Microbial transformation from normal oral microbiota to acute endodontic infections.
Microbial transformation from normal oral microbiota to acute endodontic infections.
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DOI：
10.1186/1471-2164-13-345
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发表时间：
2012-07-28
期刊：
影响因子：
4.4
通讯作者：
Fouad AF
中科院分区：
文献类型：
--
作者：
Hsiao WW;Li KL;Liu Z;Jones C;Fraser-Liggett CM;Fouad AF
在西方国家，牙髓感染是导致口面部疼痛和牙齿脱落的主要原因，并可能导致严重的危及生命的感染。这些感染是具有高度细菌多样性的多微生物感染。了解微生物从正常口腔通过感染根管到急性根尖周脓肿的空间过渡可以提高我们对牙髓感染发病机制的认识，并导致更有效的治疗。我们从8名患者的口腔、感染根管和根尖周脓肿中获得样本（5名为局部感染，3名为全身感染）。使用下一代16S rRNA扩增子测序分析这些样本中的微生物种群。使用生物信息学工具和具有严格标准的统计检验来阐明微生物群从正常部位到患病部位的空间转变。平均而言，从每个样品中获得10，000个部分16S rRNA基因序列。所有序列都属于11个不同的细菌门。根管和脓肿样本中的微生物多样性显着低于口腔样本。链球菌属是口腔中最丰富的属，而普雷沃菌属和梭杆菌属在患病样品中最丰富。然而，根管和脓肿样品的微生物群群落结构彼此之间比口腔微生物群更相似。使用严格的标准和新的生物信息学工具，我们发现，颗粒状adiacens，尤瑞真杆菌，产黑色素普雷沃氏菌，唾液普雷沃氏菌，缓症链球菌，和Atopobium rimae在患病样本中的代表性过高。我们使用了一种新的方法和高通量方法来表征同一个体中与正常和患病口腔部位相关的微生物群。
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. 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. We used a novel approach and high-throughput methodologies to characterize the microbiota associated normal and diseased oral sites in the same individuals.
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影响因子：
3.7
作者：
Santos AL;Siqueira JF Jr;Rôças IN;Jesus EC;Rosado AS;Tiedje JM
通讯作者：
Tiedje JM
影响因子：
14.9
作者：
Pruesse E;Quast C;Knittel K;Fuchs BM;Ludwig W;Peplies J;Glöckner FO
通讯作者：
Glöckner FO
影响因子：
7
作者：
Fraser-Liggett, CM
通讯作者：
Fraser-Liggett, CM
DOI：
10.1111/j.1600-0528.2009.00476.x
发表时间：
2009-08-01
影响因子：
2.3
作者：
Quinonez, Carlos;Gibson, Debbie;Locker, David
通讯作者：
Locker, David
影响因子：
4.4
作者：
Schloss, Patrick D.;Westcott, Sarah L.;Weber, Carolyn F.
通讯作者：
Weber, Carolyn F.