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Quantitative analysis of pathogens in the lower respiratory tract of patients with chronic obstructive pulmonary disease

Overview of attention for article published in BMC Pulmonary Medicine, August 2015
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3 X users

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Title
Quantitative analysis of pathogens in the lower respiratory tract of patients with chronic obstructive pulmonary disease
Published in
BMC Pulmonary Medicine, August 2015
DOI 10.1186/s12890-015-0094-z
Pubmed ID
Authors

Huaying Wang, Xiao Gu, Yuesong Weng, Tao Xu, Zhongming Fu, Weidong Peng, Wanjun Yu

Abstract

Bacterial infection of the lower respiratory tract is believed to play a major role in the pathogenesis of chronic obstructive pulmonary disease (COPD) and acute exacerbations of COPD (AECOPD). This study investigates the potential relationship between AECOPD and the load of six common bacterial pathogens in the lower respiratory tract using real-time quantitative PCR (RT-qPCR) in COPD patients. Protected specimen brush (PSB) and bronchoalveolar lavage fluid (BALF) samples from the lower respiratory tract of 66 COPD patients and 33 healthy subjects were collected by bronchoscopy. The load of Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Pseudomonos aeruginosa, Haemophilus influenzeae, and Moraxella catarrhalis were detected by RT-qPCR. High Klebsiella pneumoniae, Pseudomonos aeruginosa, Haemophilus influenzeae and Moraxella catarrhalis burden were detected by RT-qPCR in both PSB and BALF samples obtained from stable COPD and AECOPD patients compared with healthy subjects. The load of the above four pathogenic strains in PSB and BALF samples obtained from AECOPD patients were significantly higher compared with stable COPD patients. Finally, positive correlations between bacterial loads and inflammatory mediators such as neutrophil count and cytokine levels of IL-1β, IL-6 and IL-8, as well as negative correlations between bacterial loads and the forced expiratory volume in one second (FEV1) % predicted, forced vital capacity (FVC) % predicted, and FEV1/FVC ratio, were detected. These findings suggest that increased bacterial loads mediated inflammatory response in the lower respiratory tract and were associated with AECOPD. In addition, these results provide guidance for antibiotic therapy of AECOPD patients.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Russia 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 6 13%
Unknown 11 24%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 6 13%
Immunology and Microbiology 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 3 7%
Other 6 13%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2015.
All research outputs
#15,707,852
of 24,885,505 outputs
Outputs from BMC Pulmonary Medicine
#1,021
of 2,186 outputs
Outputs of similar age
#143,739
of 271,816 outputs
Outputs of similar age from BMC Pulmonary Medicine
#18
of 38 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 271,816 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.