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哮喘中真菌和细菌微生物群失调及跨界网络失衡

Fungal and bacterial microbiome dysbiosis and imbalance of trans-kingdom network in asthma.

作者信息

Huang Chunrong, Yu Youchao, Du Wei, Liu Yahui, Dai Ranran, Tang Wei, Wang Ping, Zhang Chenhong, Shi Guochao

机构信息

Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197, Rui Jin Er Road, Shanghai, 200025 People's Republic of China.

Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, 197, Rui Jin Er Road, Shanghai, 200025 People's Republic of China.

出版信息

Clin Transl Allergy. 2020 Oct 22;10:42. doi: 10.1186/s13601-020-00345-8. eCollection 2020.

Abstract

BACKGROUND

Fungal and bacterial microbiota play an important role in development of asthma. We aim to characterize airway microbiome (mycobiome, bacteriome) and functional genes in asthmatics and controls.

METHODS

Sputum microbiome of controls, untreated asthma patients and inhaled corticosteroid (ICS) receiving patients was detected using high throughput sequencing. Metagenomic sequencing was used to examine the functional genes of microbiome.

RESULTS

  1. Mycobiome: α diversity was lower in untreated asthma group than that in controls. Mycobiome compositions differed among the three groups. Compared with controls, untreated asthma group has higher abundance of Wallemia, Mortierella and Fusarium. Compared with untreated asthma patients, ICS receiving patients has higher abundance of Fusarium and Mortierella, lower frequency of Wallemia, Alternaria and Aspergillus. 2. Bacteriome: α diversity was lower in untreated asthma group than that in controls. There are some overlaps of bacteriome compositions between controls and untreated asthma patients which were distinct from ICS receiving patients. Untreated asthma group has higher Streptococcus than controls. 3. Potential fungal and bacterial biomarkers of asthma: Trametes, Aspergillus, Streptococcus, Gemella, Neisseria, etc. 4. Correlation network: There are dense and homogenous correlations in controls but a dramatically unbalanced network in untreated asthma and ICS receiving patients, which suggested the existence of disease-specific inter-kingdom and intra-kingdom alterations. 5. Metagenomic analysis: functional pathways were associated with the status of asthma, microbiome and functional genes showed different correlations in different environment.

CONCLUSION

We showed mycobiome and bacteriome dysbiosis in asthma featured by alterations in biodiversity, community composition, inter-kingdom and intra-kingdom network. We also observed several functional genes associated with asthma.

摘要

背景

真菌和细菌微生物群在哮喘的发展中起重要作用。我们旨在对哮喘患者和对照组的气道微生物组(真菌组、细菌组)及功能基因进行特征分析。

方法

采用高通量测序检测对照组、未经治疗的哮喘患者和接受吸入性糖皮质激素(ICS)治疗患者的痰液微生物组。运用宏基因组测序检查微生物组的功能基因。

结果

  1. 真菌组:未经治疗的哮喘组α多样性低于对照组。三组之间真菌组组成不同。与对照组相比,未经治疗的哮喘组瓦勒霉菌、被孢霉属和镰刀菌属丰度更高。与未经治疗的哮喘患者相比,接受ICS治疗的患者镰刀菌属和被孢霉属丰度更高,瓦勒霉菌、链格孢属和曲霉属出现频率更低。2. 细菌组:未经治疗的哮喘组α多样性低于对照组。对照组和未经治疗的哮喘患者的细菌组组成存在一些重叠,这与接受ICS治疗的患者不同。未经治疗的哮喘组链球菌高于对照组。3. 哮喘潜在的真菌和细菌生物标志物:栓菌属、曲霉属、链球菌属、孪生球菌属、奈瑟菌属等。4. 关联网络:对照组中存在密集且均匀的关联,但未经治疗的哮喘组和接受ICS治疗的患者中网络显著失衡,这表明存在疾病特异性的跨界和界内改变。5. 宏基因组分析:功能途径与哮喘状态相关,微生物组和功能基因在不同环境中显示出不同的相关性。

结论

我们发现哮喘患者的真菌组和细菌组存在失调,其特征为生物多样性、群落组成、跨界和界内网络的改变。我们还观察到了一些与哮喘相关的功能基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6614/7583303/85fd592922ea/13601_2020_345_Fig1_HTML.jpg

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