Yatera Kazuhiro, Noguchi Shingo, Mukae Hiroshi
Department of Respiratory Medicine, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishiku, Kitakyushu City, Fukuoka, 807-8555, Japan.
Department of Respiratory Medicine, Unit of Translational Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki City, Nagasaki, Japan.
Respir Investig. 2018 Nov;56(6):432-439. doi: 10.1016/j.resinv.2018.08.003. Epub 2018 Oct 24.
With the advent of new technologies evaluating the microbiome in the sample such as next-generation sequencer (NGS), current increase of an interest in understanding of the lung microbiome and its roles in lung diseases are marked. Gathering the data of bacterial flora in the lung and their changes during disease courses is unraveling the pathogenesis and the mechanism of disease progression particularly in patients with bronchial asthma, chronic obstructive pulmonary disease and infectious lung diseases. To clarify the relationship between the lung microbiome and pulmonary diseases, new information may help us to create new treatment and prevention strategies of some pulmonary diseases by controlling the lung microbiome. Using bacterial 16S ribosomal RNA gene sequence, NGS can rapidly estimate large amount of bacterial sequences in the phylum and genus levels, and some of them in species levels in a very short period of time. In addition to new information of the microbiome using NGS in the respiratory tract, other techniques using basically Sanger method in combination with the clone library construction can also be useful to identify pathogenic bacterial species with their ratio in the respiratory samples such as bacterial pneumonia, lung abscess and nontuberculous mycobacteriosis. These modalities to identify and semi-quantify bacterial burden in the respiratory tract have revealed new bacterial information in each infectious lung disease. This review describes current understanding of the lung microbiome in several representative lung diseases.
随着评估样本中微生物群的新技术(如下一代测序仪(NGS))的出现,当前对了解肺部微生物群及其在肺部疾病中作用的兴趣显著增加。收集肺部细菌菌群的数据及其在疾病过程中的变化,正在揭示发病机制以及疾病进展的机制,特别是在支气管哮喘、慢性阻塞性肺疾病和感染性肺部疾病患者中。为了阐明肺部微生物群与肺部疾病之间的关系,新信息可能有助于我们通过控制肺部微生物群来制定一些肺部疾病的新治疗和预防策略。利用细菌16S核糖体RNA基因序列,NGS可以在很短的时间内快速估计门和属水平上大量的细菌序列,其中一些还可以估计到种水平。除了利用NGS获得呼吸道微生物群的新信息外,其他基本使用桑格法并结合克隆文库构建的技术,对于鉴定呼吸道样本(如细菌性肺炎、肺脓肿和非结核分枝杆菌病)中致病细菌种类及其比例也可能有用。这些识别和半定量呼吸道细菌负荷的方法在每种感染性肺部疾病中都揭示了新的细菌信息。本综述描述了目前对几种代表性肺部疾病中肺部微生物群的认识。