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The respiratory microbiome in bronchial mucosa and secretions from severe IgE-mediated asthma patients

Overview of attention for article published in BMC Microbiology, January 2017
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Title
The respiratory microbiome in bronchial mucosa and secretions from severe IgE-mediated asthma patients
Published in
BMC Microbiology, January 2017
DOI 10.1186/s12866-017-0933-6
Pubmed ID
Authors

Laura Millares, Guadalupe Bermudo, Vicente Pérez-Brocal, Christian Domingo, Marian Garcia-Nuñez, Xavier Pomares, Andrés Moya, Eduard Monsó

Abstract

The bronchial microbiome in chronic lung diseases presents an abnormal pattern, but its microbial composition and regional differences in severe asthma have not been sufficiently addressed. The aim of the study was to describe the bacterial community in bronchial mucosa and secretions of patients with severe chronic asthma chronically treated with corticosteroids in addition to usual care according to Global Initiative for Asthma. Bacterial community composition was obtained by 16S rRNA gene amplification and sequencing, and functional capabilities through PICRUSt. Thirteen patients with severe asthma were included and provided 11 bronchial biopsies (BB) and 12 bronchial aspirates (BA) suitable for sequence analyses. Bacteroidetes, Firmicutes, Proteobacteria and Actinobacteria showed relative abundances (RAs) over 5% in BB, a cutoff that was reached by Streptococcus and Prevotella at genus level. Legionella genus attained a median RA of 2.7 (interquartile range 1.1-4.7) in BB samples. In BA a higher RA of Fusobacteria was found, when compared with BB [8.7 (5.9-11.4) vs 4.2 (0.8-7.5), p = 0.037], while the RA of Proteobacteria was lower in BA [4.3 (3.7-6.5) vs 17.1 (11.2-33.4), p = 0.005]. RA of the Legionella genus was also significantly lower in BA [0.004 (0.001-0.02) vs. 2.7 (1.1-4.7), p = 0.005]. Beta-diversity analysis confirmed the differences between the microbial communities in BA and BB (R(2) = 0.20, p = 0.001, Adonis test), and functional analysis revealed also statistically significant differences between both types of sample on Metabolism, Cellular processes, Human diseases, Organismal systems and Genetic information processing pathways. The microbiota in the bronchial mucosa of severe asthma has a specific pattern that is not accurately represented in bronchial secretions, which must be considered a different niche of bacteria growth.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 6 15%
Student > Bachelor 5 13%
Other 3 8%
Student > Master 3 8%
Other 7 18%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Immunology and Microbiology 7 18%
Agricultural and Biological Sciences 6 15%
Biochemistry, Genetics and Molecular Biology 2 5%
Chemical Engineering 1 3%
Other 4 10%
Unknown 9 23%

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 01 December 2017.
All research outputs
#10,723,651
of 17,193,520 outputs
Outputs from BMC Microbiology
#1,263
of 2,615 outputs
Outputs of similar age
#195,015
of 365,145 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 17,193,520 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,615 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 46th percentile – i.e., 46% 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 365,145 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them