Sillanpää Saara, Kramna Lenka, Oikarinen Sami, Sipilä Markku, Rautiainen Markus, Aittoniemi Janne, Laranne Jussi, Hyöty Heikki, Cinek Ondrej
Department of Otorhinolaryngology and Head and Neck Surgery, Tampere University Hospital and School of Medicine, University of Tampere, Tampere, Finland.
Department of Pediatrics, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic.
mSphere. 2017 Mar 22;2(2). doi: 10.1128/mSphere.00006-17. eCollection 2017 Mar-Apr.
The aim of the study was to analyze the bacteriome of acute otitis media with a novel modification of next-generation sequencing techniques. Outpatient children with acute otitis media were enrolled in the study, and middle ear fluids were collected during 90 episodes from 79 subjects aged 5 to 42 months (median age, 19 months). The bacteriome profiles of middle ear fluid samples were determined by a nested-PCR amplification of the 16S rRNA gene (V4 region), followed by mass sequencing. The profiling results were compared to the results of specific PCR assays targeting selected prevalent pathogens. Bacteriome profiling using nested amplification of low-volume samples was aided by a bioinformatic subtraction of signal contaminants from the recombinant polymerase, achieving a sensitivity slightly lower than that of specific PCR detection. was detected in 28 (31%) samples, in 24 (27%), in 18 (20%), spp. in 21 (23%), in 5 (5.6%), in 3 (3.3%), and other bacteria in 14 (16%) using bacteriome profiling. was the dominant pathogen in 14 (16%) samples, in 15 (17%), in 5 (5.6%), in 2, and in 2. Weaker signals of , , and were noted in several samples. Fourteen samples (16%) were not explainable by bacterial pathogens; novel causative agents were not detected. In conclusion, unbiased bacteriome profiling helped in depicting the true mutual quantitative ratios of ear bacteria, but at present, its complicated protocol impedes its routine clinical use. Although , , and have been long established as the most important pathogens in acute otitis media using culture and specific PCR assays, the knowledge of their mutual quantitative relations and possible roles of other bacteria is incomplete. The advent of unbiased bacteriome 16S rRNA gene profiling has allowed the detection of nearly all bacteria present in the sample, and it helps in depicting their mutual quantitative ratios. Due to the difficulties in performing mass sequencing in low-volume samples, only a few bacteriome-profiling studies of otitis media have been published, all limited to cases of chronic otitis media. Here, we present a study on samples obtained from young children with acute otitis media, successfully using a strategy of nested PCR coupled with mass sequencing, and demonstrate that the method can confer quantitative information hardly obtainable by other methods.
本研究的目的是通过对新一代测序技术进行新颖改进来分析急性中耳炎的细菌群落。研究纳入了患有急性中耳炎的门诊儿童,在90次发作期间收集了79名年龄在5至42个月(中位年龄19个月)受试者的中耳积液。通过对16S rRNA基因(V4区)进行巢式PCR扩增,随后进行大规模测序,来确定中耳积液样本的细菌群落谱。将分析结果与针对选定常见病原体的特异性PCR检测结果进行比较。使用低体积样本的巢式扩增进行细菌群落分析时,通过对重组聚合酶的信号污染物进行生物信息学扣除来辅助,其灵敏度略低于特异性PCR检测。使用细菌群落分析在28份(31%)样本中检测到肺炎链球菌,24份(27%)中检测到流感嗜血杆菌,18份(20%)中检测到卡他莫拉菌,21份(23%)中检测到金黄色葡萄球菌属,5份(5.6%)中检测到酿脓链球菌,3份(3.3%)中检测到肺炎克雷伯菌,14份(16%)中检测到其他细菌。肺炎链球菌是14份(16%)样本中的主要病原体,流感嗜血杆菌在15份(17%)样本中,卡他莫拉菌在5份(5.6%)样本中,金黄色葡萄球菌在2份样本中,酿脓链球菌在2份样本中。在几份样本中注意到肺炎链球菌、流感嗜血杆菌和卡他莫拉菌的信号较弱。14份样本(16%)无法用细菌病原体解释;未检测到新的病原体。总之,无偏倚的细菌群落分析有助于描绘耳部细菌的真实相互定量比例,但目前其复杂的方案阻碍了其在临床常规中的应用。尽管使用培养和特异性PCR检测,肺炎链球菌、流感嗜血杆菌和卡他莫拉菌长期以来一直被认为是急性中耳炎最重要的病原体,但它们的相互定量关系以及其他细菌可能的作用的知识并不完整。无偏倚的细菌群落16S rRNA基因分析的出现使得能够检测样本中几乎所有存在的细菌,并有助于描绘它们的相互定量比例。由于在低体积样本中进行大规模测序存在困难,仅有少数关于中耳炎细菌群落分析的研究发表,且均限于慢性中耳炎病例。在此,我们展示了一项针对患有急性中耳炎幼儿样本的研究,成功采用了巢式PCR与大规模测序相结合的策略,并证明该方法能够提供其他方法难以获得的定量信息。