Insights into the Unique Lung Microbiota Profile of Pulmonary Tuberculosis Patients Using Metagenomic Next-Generation Sequencing

Xiao，Guohui1,2; Cai，Zhao3; Guo，Qinglong1; Ye，Taosheng1; Tang，Yimin1; Guan，Peikun4; Zhang，Juanjuan1; Ou，Min1; Fu，Xiangdong1; Ren，Lili5; Yu，Minfei4; Wang，Zhaoqin1; Liu，Lei1; Yang，Liang3; Zhang，Guoliang1,2

2022-02-01

10.1128/spectrum.01901-21

Microbiology Spectrum   影响因子和分区

2165-0497

2165-0497

The microbiota plays an important role in human health and disease development. The lung microbiota profile in pulmonary tuberculosis (TB) patients and the effects of anti-TB treatment on the profile need to be determined thoroughly and comprehensively. This study primarily aimed to determine the lung microbiota profile associated with pulmonary TB and characterize the longitudinal changes during anti-TB treatment. A total of 53 participants, comprising 8 healthy individuals, 12 untreated pulmonary TB patients, 15 treated pulmonary TB patients, 11 cured pulmonary TB patients, and 7 lung cancer patients, were recruited in the present study. Bronchioalveolar lavage fluid (BALF) samples were collected from the above participants, and throat swabs were taken from healthy individuals. Microbiomes in the samples were examined using metagenomic next-generation sequencing (mNGS). Differences in microbiota profiles were determined through a comparison of the indicated groups. Our findings indicated that the BALF samples displayed decreased richness and diversity of the microbiota compared to those of the throat swab samples, and these two kinds of samples exhibited obvious separation on principal-coordinate analysis (PCoA) plots. Untreated pulmonary TB patients displayed a unique lung microbiota signature distinct from that of healthy individuals and lung cancer patients. Our data first demonstrated that anti-TB treatment with first-line drugs increases alpha diversity and significantly affects the beta diversity of the lung microbiota, while it also induces antibiotic resistance genes (ARGs).

Anti-TB treatment Antibiotic resistance genes Lung microbiota Metagenomics Mycobacterium tuberculosis Tuberculosis

SCI

英语

第一 ; 通讯

National Key Research and Development Plan["2020YFA0907200","2019YFC0840602"] ; Guangdong Foundation for Basic and Applied Basic Research[2019B1515120041] ; National Science and TechnologyMajor Project for Control and Prevention of Major Infectious Diseases of China["2017ZX10103004","2018ZX10734401015"] ; Shenzhen Scientific and Technological Foundation["KCXFZ202002011007083","JCYJ20180228162336873","JCYJ20180228162321234","JSGG20200225150702770"] ; Sanming Project of Medicine in Shenzhen[SZSM201911009]

Microbiology

Microbiology

WOS:000766015800147

AMER SOC MICROBIOLOGY

2-s2.0-85125213601

Scopus

1.National Clinical Research Center for Infectious Diseases,Shenzhen Third People's Hospital,Southern University of Science and Technology,Shenzhen,China
2.Guangdong Key Laboratory of Regional Immunity and Diseases,Shenzhen University School of Medicine,Shenzhen,China
3.School of Medicine,Southern University of Science and Technology,Shenzhen,China
4.Guangzhou Sagene Biotech Co. Ltd.,Guangzhou,China
5.Institute of Pathogen Biology (IPB),Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing,China

Xiao，Guohui,Cai，Zhao,Guo，Qinglong,et al. Insights into the Unique Lung Microbiota Profile of Pulmonary Tuberculosis Patients Using Metagenomic Next-Generation Sequencing[J]. Microbiology Spectrum,2022,10(1).

Xiao，Guohui.,Cai，Zhao.,Guo，Qinglong.,Ye，Taosheng.,Tang，Yimin.,...&Zhang，Guoliang.(2022).Insights into the Unique Lung Microbiota Profile of Pulmonary Tuberculosis Patients Using Metagenomic Next-Generation Sequencing.Microbiology Spectrum,10(1).

Xiao，Guohui,et al."Insights into the Unique Lung Microbiota Profile of Pulmonary Tuberculosis Patients Using Metagenomic Next-Generation Sequencing".Microbiology Spectrum 10.1(2022).