Literature DB >> 20823075

Analysis of the microbiota of sputum samples from patients with lower respiratory tract infections.

Yuhua Zhou1, Ping Lin, Qingtian Li, Lizhong Han, Huajun Zheng, Yanxia Wei, Zelin Cui, Yuxing Ni, Xiaokui Guo.   

Abstract

Sputum is the most common sample collected from patients suffering from lower respiratory tract infections and it is crucial for the bacterial identification of these infections. In this study, we enrolled 101 sputum samples from 101 patients with lower respiratory tract infections. Initially, pyrosequencing of the 16S rDNA V3 hypervariable regions of the bacteria contained in the sputum was utilized as a culture-independent approach for microbiota analysis. For comparison, clinical laboratory tests using a culture-dependent automated bacterial identification system for the same cohort of sputum samples were also done. By pyrosequencing, >70,000 DNA fragments were found and classified into 129 bacterial genera after being analyzed by the Ribosomal Database Project (RDP) process. Most sequences belonged to several predominant genera, such as Streptococcus and Staphylococcus, indicating that these genera play an important role in lower respiratory tract infections. In addition, some sequences belonging to potential causative agents, such as Mycoplasma, Haemophilus, and Moraxella, were also found, but these sequences were not found by clinical laboratory tests. For the nine genera detected by both methods, the methods' sensitivities were compared and the results showed that pyrosequencing was more sensitive, except for Klebsiella and Mycobacterium. Significantly, this method revealed much more complicated bacterial communities and it showed a promising ability for the detection of bacteria.

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Year:  2010        PMID: 20823075     DOI: 10.1093/abbs/gmq081

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  17 in total

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Authors:  Ryan M Huebinger; Ming-Mei Liu; Scot E Dowd; Fernando A Rivera-Chavez; John Boynton; Curtis Carey; Kenneth Hawkins; Christian T Minshall; Steven E Wolf; Joseph P Minei; Robert C Barber
Journal:  Surg Infect (Larchmt)       Date:  2013-05-06       Impact factor: 2.150

2.  Microbiome diversity in the sputum of patients with pulmonary tuberculosis.

Authors:  P Krishna; A Jain; P S Bisen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-05-03       Impact factor: 3.267

3.  Physical and Functional Interplay between MazF1Bif and Its Noncognate Antitoxins from Bifidobacterium longum.

Authors:  Yanxia Wei; Yang Li; Fan Yang; Qiong Wu; Dianbin Liu; Xiangyang Li; Hui Hua; Xiaomei Liu; Yugang Wang; Kuiyang Zheng; Renxian Tang
Journal:  Appl Environ Microbiol       Date:  2017-04-17       Impact factor: 4.792

4.  Investigators' perspectives on translating human microbiome research into clinical practice.

Authors:  M J Slashinski; S N Whitney; L S Achenbaum; W A Keitel; S A McCurdy; A L McGuire
Journal:  Public Health Genomics       Date:  2013-04-24       Impact factor: 2.000

5.  The human microbiota: a new direction in the investigation of thoracic diseases.

Authors:  Anselm Wang-Hei Hui; Hon-Wai Lau; Tiffany Hoi-Tung Chan; Stephen Kwok-Wing Tsui
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

6.  Correlation between Either Cupriavidus or Porphyromonas and Primary Pulmonary Tuberculosis Found by Analysing the Microbiota in Patients' Bronchoalveolar Lavage Fluid.

Authors:  Yuhua Zhou; Feishen Lin; Zelin Cui; Xiangrong Zhang; Chunmei Hu; Tian Shen; Chunyan Chen; Xia Zhang; Xiaokui Guo
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

7.  Sputum microbiota in tuberculosis as revealed by 16S rRNA pyrosequencing.

Authors:  Man Kit Cheung; Wai Yip Lam; Wendy Yin Wan Fung; Patrick Tik Wan Law; Chun Hang Au; Wenyan Nong; Kai Man Kam; Hoi Shan Kwan; Stephen Kwok Wing Tsui
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

8.  Complex sputum microbial composition in patients with pulmonary tuberculosis.

Authors:  Zelin Cui; Yuhua Zhou; Hong Li; Yan Zhang; Shulin Zhang; Shenjie Tang; Xiaokui Guo
Journal:  BMC Microbiol       Date:  2012-11-23       Impact factor: 3.605

9.  An improved dimensionality reduction method for meta-transcriptome indexing based diseases classification.

Authors:  Yin Wang; Yuhua Zhou; Yixue Li; Zongxin Ling; Yan Zhu; Xiaokui Guo; Hong Sun
Journal:  BMC Syst Biol       Date:  2012-12-17

10.  High-throughput sequencing of 16S rDNA amplicons characterizes bacterial composition in bronchoalveolar lavage fluid in patients with ventilator-associated pneumonia.

Authors:  Xiao-Jun Yang; Yan-Bo Wang; Zhi-Wei Zhou; Guo-Wei Wang; Xiao-Hong Wang; Qing-Fu Liu; Shu-Feng Zhou; Zhen-Hai Wang
Journal:  Drug Des Devel Ther       Date:  2015-08-18       Impact factor: 4.162

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