Profiling bacterial community in upper respiratory tracts
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  • 作者:Hana Yi (1) (2) (3)
    Dongeun Yong (4)
    Kyungwon Lee (4)
    Yong-Joon Cho (5)
    Jongsik Chun (5) (6)

    1. School of Biosystem and Biomedial Science
    ; Korea University ; Seoul ; Republic of Korea
    2. Department of Public Health Science
    ; Graduate School ; Korea University ; Seoul ; Republic of Korea
    3. Korea University Guro Hospital
    ; Korea University ; Seoul ; Republic of Korea
    4. Department of Laboratory Medicine and Research Institute of Bacterial Resistance
    ; Yonsei University College of Medicine ; Seoul ; Republic of Korea
    5. ChunLab
    ; Inc. ; Seoul ; Republic of Korea
    6. School of Biological Sciences & Institute of Bioinformatics (BIOMAX)
    ; Seoul National University ; Seoul ; Republic of Korea
  • 关键词:Microbiome ; Respiratory tract ; Moraxella ; Influenza ; Oropharynx ; Healthcare staff
  • 刊名:BMC Infectious Diseases
  • 出版年:2014
  • 出版时间:December 2014
  • 年:2014
  • 卷:14
  • 期:1
  • 全文大小:2,049 KB
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  • 刊物主题:Infectious Diseases; Parasitology; Medical Microbiology; Tropical Medicine; Internal Medicine;
  • 出版者:BioMed Central
  • ISSN:1471-2334
文摘
Background Infection by pathogenic viruses results in rapid epithelial damage and significantly impacts on the condition of the upper respiratory tract, thus the effects of viral infection may induce changes in microbiota. Thus, we aimed to define the healthy microbiota and the viral pathogen-affected microbiota in the upper respiratory tract. In addition, any association between the type of viral agent and the resultant microbiota profile was assessed. Methods We analyzed the upper respiratory tract bacterial content of 57 healthy asymptomatic people (17 health-care workers and 40 community people) and 59 patients acutely infected with influenza, parainfluenza, rhino, respiratory syncytial, corona, adeno, or metapneumo viruses using culture-independent pyrosequencing. Results The healthy subjects harbored primarily Streptococcus, whereas the patients showed an enrichment of Haemophilus or Moraxella. Quantifying the similarities between bacterial populations by using Fast UniFrac analysis indicated that bacterial profiles were apparently divisible into 6 oropharyngeal types in the tested subjects. The oropharyngeal types were not associated with the type of viruses, but were rather linked to the age of the subjects. Moraxella nonliquefaciens exhibited unprecedentedly high abundance in young subjects aged M. nonliquefaciens was found to encode various proteins that may play roles in pathogenesis. Conclusions This study identified 6 oropharyngeal microbiome types. No virus-specific bacterial profile was discovered, but comparative analysis of healthy adults and patients identified a bacterium specific to young patients, M. nonliquefaciens.

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