Literature DB >> 30392534

The microbiome in the lower respiratory tract.

Kazuhiro Yatera1, Shingo Noguchi2, Hiroshi Mukae3.   

Abstract

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.
Copyright © 2018 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16S ribosomal RNA; Microbiome; Next-generation sequencing; Sanger method

Mesh:

Substances:

Year:  2018        PMID: 30392534     DOI: 10.1016/j.resinv.2018.08.003

Source DB:  PubMed          Journal:  Respir Investig        ISSN: 2212-5345


  10 in total

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3.  Dynamics of microbiota during mechanical ventilation in aspiration pneumonia.

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4.  Refinement of microbiota analysis of specimens from patients with respiratory infections using next-generation sequencing.

Authors:  Hiroaki Ikegami; Shingo Noguchi; Kazumasa Fukuda; Kentaro Akata; Kei Yamasaki; Toshinori Kawanami; Hiroshi Mukae; Kazuhiro Yatera
Journal:  Sci Rep       Date:  2021-10-01       Impact factor: 4.379

5.  The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis.

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Review 6.  How Metagenomics Has Transformed Our Understanding of Bacteriophages in Microbiome Research.

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7.  Differences in the microbiota of oral rinse, lesion, and normal site samples from patients with mucosal abnormalities on the tongue.

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Journal:  BMC Microbiol       Date:  2020-05-12       Impact factor: 3.605

9.  Bacterial composition of nasal discharge in children based on highly accurate 16S rRNA gene sequencing analysis.

Authors:  Kaoru Haro; Midori Ogawa; Mitsumasa Saito; Koichi Kusuhara; Kazumasa Fukuda
Journal:  Sci Rep       Date:  2020-11-19       Impact factor: 4.379

10.  Compared the Microbiota Profiles between Samples from Bronchoalveolar Lavage and Endotracheal Aspirates in Severe Pneumonia: A Real-World Experience.

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Journal:  J Clin Med       Date:  2022-01-10       Impact factor: 4.241

  10 in total

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