Distinct lung microbial community states in patients with pulmonary tuberculosis
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stinct lung microbial community states in patients with pulmonary tuberculosis 1†
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Yongfeng Hu , Ying Kang , Xi Liu , Min Cheng , Jie Dong , Lilian Sun , Yafang Zhu , 4 7 3* 1,2* 1* Xianwen Ren , Qianting Yang , Xinchun Chen , Qi Jin & Fan Yang 1
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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; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University,
Hangzhou 310003, China; 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 3
Received September 20, 2019; accepted December 29, 2019; published online April 14, 2020
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 βdiversity 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. tuber
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