Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline
Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline
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DOI：
10.1371/journal.pone.0156807
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发表时间：
2016-06-29
期刊：
影响因子：
3.7
通讯作者：
Mengoni, Alessio
中科院分区：
文献类型：
--
作者：
Bacci, Giovanni;Paganin, Patrizia;Mengoni, Alessio
慢性气道感染是囊性纤维化（CF）疾病的标志性特征。在本研究中，收集CF患者的痰液样本，并通过16S rRNA基因靶向方法进行表征，以评估肺功能严重下降后肺微生物群组成的变化。特别地，我们比较了两组CF患者的气道微生物群，即肺功能显著下降的患者（SD）和肺功能稳定的患者（S）。这两组显示出不同的细菌组成，SD患者报告的社区比S的更异质。假单胞菌属是S和SD患者的优势菌属，其次是葡萄球菌属和普雷沃菌属。除了经典的CF病原体和CF中最常见的非经典属，我们发现了不寻常的厌氧属Sneathia的存在。此外，寡核苷酸分型分析揭示了CF中描述的其他次要属的存在，突出了CF感染的多微生物性质。最后，相关和反相关网络的分析表明，假单胞菌属的成员和CF气道微生物群的其余部分之间存在拮抗作用和生态独立性，S患者比SD患者表现出更相互关联的社区。这种种群结构表明S微生物群相对于SD具有更高的弹性，这反过来可能会阻碍侵袭性病原体（例如假单胞菌）的潜在不利影响。总之，我们的研究结果为CF气道微生物群生态学提供了新的视角，改善了目前关于CF患者中其组成和多种微生物相互作用的知识。
Chronic airway infection is a hallmark feature of cystic fibrosis (CF) disease. In the present study, sputum samples from CF patients were collected and characterized by 16S rRNA gene-targeted approach, to assess how lung microbiota composition changes following a severe decline in lung function. In particular, we compared the airway microbiota of two groups of patients with CF, i.e. patients with a substantial decline in their lung function (SD) and patients with a stable lung function (S). The two groups showed a different bacterial composition, with SD patients reporting a more heterogeneous community than the S ones. Pseudomonas was the dominant genus in both S and SD patients followed by Staphylococcus and Prevotella. Other than the classical CF pathogens and the most commonly identified non-classical genera in CF, we found the presence of the unusual anaerobic genus Sneathia. Moreover, the oligotyping analysis revealed the presence of other minor genera described in CF, highlighting the polymicrobial nature of CF infection. Finally, the analysis of correlation and anti-correlation networks showed the presence of antagonism and ecological independence between members of Pseudomonas genus and the rest of CF airways microbiota, with S patients showing a more interconnected community in S patients than in SD ones. This population structure suggests a higher resilience of S microbiota with respect to SD, which in turn may hinder the potential adverse impact of aggressive pathogens (e.g. Pseudomonas). In conclusion, our findings shed a new light on CF airway microbiota ecology, improving current knowledge about its composition and polymicrobial interactions in patients with CF.