Rapid Identification of Bacterial Species Associated with Bronchiectasis via Metagenomic Approach.

Dong Hong Yang; Yuan Yuan Zhang; Peng Cheng DU; Li XU; Hai Yin Wang; Na Han; Chen Chen; Zhan Cheng Gao

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Rapid Identification of Bacterial Species Associated with Bronchiectasis via Metagenomic Approach.

Author: Dong Hong YANG ¹ ; Yuan Yuan ZHANG ² ; Peng Cheng DU ² ; Li XU ¹ ; Hai Yin WANG ² ; Na HAN ² ; Chen CHEN ² ; Zhan Cheng GAO ¹
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1. Department of Respiratory and Critical care medicine, Peking University People's Hospital, Beijing 100044, China.
2. State Key Laboratory for Infectious Disease Prevention and Control, and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
Publication Type:Letter
MeSH: Bronchiectasis; microbiology; Bronchoalveolar Lavage Fluid; chemistry; microbiology; Early Diagnosis; Female; Humans; Metagenome; genetics; Metagenomics; methods; Middle Aged; Pseudomonas Infections; microbiology; Pseudomonas aeruginosa; genetics; isolation & purification; RNA, Ribosomal, 16S; genetics; Time Factors
From: Biomedical and Environmental Sciences 2014;27(11):898-901
CountryChina
Language:English
Abstract: Bronchiectasis is a chronic lung disorder and a number of bacterial pathogens are involved. However, 30%-40% of sputum and purulent samples in good quality failed to grow any pathogenic bacteria, making it difficult to confirm the pathogen. In this study, we collected bronchoalveolar lavage fluid from a bronchiectasis patient undergoing acute exacerbation, and sent for 16S rDNA pyrosequencing by a 454 GS Junior machine. Metagenomic analysis showed the composition of bacterial community in sample was complex. More than a half of reads (51.3%) were from Pseudomonas aeruginosa. This result was corresponding with the culture result but came out 2 d earlier, which is meaningful for early diagnosis and treatment. The detection with 16S rDNA pyrosequencing technology is more sensitive and rapid than routine culture, and can detect the co-infection or symbiosis in airway, giving us a novel and convenient approach to perform rapid diagnosis.