Distinct lung microbial community states in patients with pulmonary tuberculosis

Hu，Yongfeng1; Kang，Ying1; Liu，Xi5; Cheng，Min6; Dong，Jie1; Sun，Lilian1; Zhu，Yafang1; Ren，Xianwen4; Yang，Qianting7; Chen，Xinchun3; Jin，Qi1,2; Yang，Fan1

2020

10.1007/s11427-019-1614-0

Science China-Life Sciences   影响因子和分区

1674-7305

1869-1889

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.

16S rRNA lung microbiota M. tuberculosis-negative M. tuberculosis-positive tuberculosis

SCI

英语

其他

CAMS Innovation Fund for Medical Sciences[2017-I2M-3-017][2016-I2M-1-013] ; 13th-Five-Year National Science and Technology Major Project on the "prevention and treatment of AIDS, viral hepatitis and other infectious diseases"[2018ZX10711001][2017ZX10201301-002-002] ; National Natural Science Foundation of China[81525016] ; Non-profit Central Research Institute Fund of CAMS[2019PT31006][2019PT31007]

Life Sciences & Biomedicine - Other Topics

Biology

WOS:000558915100001

SCIENCE PRESS

2-s2.0-85083592605

Scopus

1.NHC Key Laboratory of Systems Biology of Pathogens,Institute of Pathogen Biology,and Center for Tuberculosis Research,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100730,China
2.Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,the First Affiliated Hospital,Zhejiang University,Hangzhou,310003,China
3.Department of Pathogen Biology,Shenzhen University School of Medicine,Shenzhen,518060,China
4.Biodynamic Optical Imaging Center,Beijing Advanced Innovation Center for Genomics,and School of Life Sciences,Peking University,Beijing,100871,China
5.Department of Infectious Diseases,The Fifth Affiliated Hospital,Sun Yat-sen University,Zhuhai,519000,China
6.China Institute of Veterinary Drug Control,Beijing,100081,China
7.National Clinical Research Center for Infectious Diseases,Guangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Diseases,Shenzhen Third People’s Hospital,Southern University of Science and Technology,Shenzhen,518112,China

Hu，Yongfeng,Kang，Ying,Liu，Xi,et al. Distinct lung microbial community states in patients with pulmonary tuberculosis[J]. Science China-Life Sciences,2020,63(10):1522-1533.

Hu，Yongfeng.,Kang，Ying.,Liu，Xi.,Cheng，Min.,Dong，Jie.,...&Yang，Fan.(2020).Distinct lung microbial community states in patients with pulmonary tuberculosis.Science China-Life Sciences,63(10),1522-1533.

Hu，Yongfeng,et al."Distinct lung microbial community states in patients with pulmonary tuberculosis".Science China-Life Sciences 63.10(2020):1522-1533.