Microbiome of Odontogenic Abscesses.
Microbiome of Odontogenic Abscesses.
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DOI：
10.3390/microorganisms9061307
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发表时间：
2021-06-16
期刊：
影响因子：
4.5
通讯作者：
Attia S
中科院分区：
文献类型：
--
作者：
Böttger S;Zechel-Gran S;Schmermund D;Streckbein P;Wilbrand JF;Knitschke M;Pons-Kühnemann J;Hain T;Weigel M;Howaldt HP;Domann E;Attia S
严重的牙源性脓肿通常是由生理性口腔微生物组的细菌引起的。然而，这些细菌的培养往往容易出错，有时不会导致任何细菌生长。此外，不同的作者在牙源性脓肿中发现了完全不同的细菌谱。实验性16S rRNA基因下一代测序分析用于鉴定严重牙源性感染患者唾液和脓液中的微生物组。对50例严重牙源性脓肿患者的唾液和脓液进行了微生物组测定。下颌骨周围和下颌下肥大是最常见的疾病，各有15例（30%）患者。在48例（96%）病例中观察到多种微生物感染，而单一感染仅发生两次（4%）。脓液中平均检出31.44（±12.09）个菌属，唾液中平均检出41.32（±9.00）个菌属。在大多数情况下，在脓液中发现了主要的厌氧细菌谱，而唾液显示出与健康个体相似的口腔微生物组。在大多数情况下，牙源性感染是多种微生物。我们的研究结果表明，这些主要是由厌氧细菌菌株，好氧和兼性厌氧菌似乎发挥更小的作用比以前所描述的其他作者。16S rRNA基因分析比传统方法检测到更多的细菌，因此分子方法应该成为医学微生物学常规诊断的一部分。
Severe odontogenic abscesses are regularly caused by bacteria of the physiological oral microbiome. However, the culture of these bacteria is often prone to errors and sometimes does not result in any bacterial growth. Furthermore, various authors found completely different bacterial spectra in odontogenic abscesses. Experimental 16S rRNA gene next-generation sequencing analysis was used to identify the microbiome of the saliva and the pus in patients with a severe odontogenic infection. The microbiome of the saliva and the pus was determined for 50 patients with a severe odontogenic abscess. Perimandibular and submandibular abscesses were the most commonly observed diseases at 15 (30%) patients each. Polymicrobial infections were observed in 48 (96%) cases, while the picture of a mono-infection only occurred twice (4%). On average, 31.44 (±12.09) bacterial genera were detected in the pus and 41.32 (±9.00) in the saliva. In most cases, a predominantly anaerobic bacterial spectrum was found in the pus, while saliva showed a similar oral microbiome to healthy individuals. In the majority of cases, odontogenic infections are polymicrobial. Our results indicate that these are mainly caused by anaerobic bacterial strains and that aerobic and facultative anaerobe bacteria seem to play a more minor role than previously described by other authors. The 16S rRNA gene analysis detects significantly more bacteria than conventional methods and molecular methods should therefore become a part of routine diagnostics in medical microbiology.
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影响因子：
5.4
作者：
Han YW
通讯作者：
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影响因子：
2.1
作者：
Celakovsky, P.;Kalfert, D.;Hoskova, T.
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影响因子：
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作者：
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DOI：
10.1038/ismej.2010.30
发表时间：
2010-08
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
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影响因子：
4.6
作者：
Chen H;Liu Y;Zhang M;Wang G;Qi Z;Bridgewater L;Zhao L;Tang Z;Pang X
通讯作者：
Pang X