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Distinct lung microbial community states in patients with pulmonary tuberculosis

Authors :
Xinchun Chen
Fan Yang
Yongfeng Hu
Xianwen Ren
Ying Kang
Qi Jin
Qianting Yang
Xi Liu
Yafang Zhu
Jie Dong
Min Cheng
Lilian Sun
Source :
Science China. Life sciences. 63(10)
Publication Year :
2019

Abstract

An improved understanding of the lung microbiome may lead to better strategies to diagnose, treat, and prevent pulmonary tuberculosis (PTB). However, the characteristics of the lung microbiomes of patients with TB remain largely undefined. In this study, 163 bronchoalveolar lavage (BAL) samples were collected from 163 sputum-negative suspected PTB patients. Furthermore, 12 paired BAL samples were obtained from 12 Mycobacterium tuberculosis-positive (MTB+) patients before and after negative conversion following a two-month anti-TB treatment. The V3-V4 region of the 16S ribosomal RNA (rRNA) gene was used to characterize the microbial composition of the lungs. The results showed that the prevalence of MTB in the BAL samples was 42.9% (70/163) among the sputum-negative patients. The α-diversity of lung microbiota was significantly less diverse in MTB+ patients compared with Mycobacterium tuberculosis-negative (MTB-) patients. There was a significant difference in β-diversity between MTB+ and MTB- patients. MTB+ patients were enriched with Anoxybacillus, while MTB- patients were enriched with Prevotella, Alloprevotella, Veillonella, and Gemella. There was no significant difference between the Anoxybacillus detection rates of MTB+ and MTB- patients. The paired comparison between the BAL samples from MTB+ patients and their negative conversion showed that BAL negative-conversion microbiota had a higher α-diversity. In conclusion, distinct features of airway microbiota could be identified between samples from patients with and without MTB. Our results imply links between lung microbiota and different clinical groups of active PTB.

Details

ISSN :
18691889
Volume :
63
Issue :
10
Database :
OpenAIRE
Journal :
Science China. Life sciences
Accession number :
edsair.doi.dedup.....355f57f214bceb6cbc66a6f9e2a534c5