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Impaired diversity of the lung microbiome predicts progression of idiopathic pulmonary fibrosis

Overview of attention for article published in Respiratory Research, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters

Readers on

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58 Mendeley
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Title
Impaired diversity of the lung microbiome predicts progression of idiopathic pulmonary fibrosis
Published in
Respiratory Research, February 2018
DOI 10.1186/s12931-018-0736-9
Pubmed ID
Authors

Youhei Takahashi, Atsushi Saito, Hirofumi Chiba, Koji Kuronuma, Kimiyuki Ikeda, Tomofumi Kobayashi, Shigeru Ariki, Motoko Takahashi, Yasushi Sasaki, Hiroki Takahashi

Abstract

Idiopathic pulmonary fibrosis (IPF) is the most frequent and severe form of idiopathic interstitial pneumonias. Although IPF has not been thought to be associated with bacterial communities, recent papers reported the possible role of microbiome composition in IPF. The roles of microbiomes in respiratory functions and as clinical biomarkers for IPF remain unknown. In this study, we aim to identify the relationship between the microbial environment in the lung and clinical findings. Thirty-four subjects diagnosed with IPF were included in this analysis. The 16S rDNA was purified from bronchoalveolar lavage fluid obtained at the time of diagnosis and analyzed using next-generation sequencing techniques to characterize the bacterial communities. Furthermore, microbiomes from mice with bleomycin-induced lung fibrosis were analyzed. The most prevalent lung phyla were Firmicutes, Proteobacteria and Bacteroidetes. Decreased microbial diversity was found in patients with low forced vital capacity (FVC) and early mortality. Additionally, the diversity and relative abundance of Firmicutes, Streptococcaceae, and Veillonellaceae were significantly associated with FVC, 6-min walk distance, and serum surfactant protein D. Bleomycin-induced lung fibrosis resulted in decrease of diversity and alteration of microbiota in PCoA analysis. These results support the observations in human specimens. This study identified relationships between specific taxa in BALF and clinical findings, which were also supported by experiments in a mouse model. Our data suggest the possibility that loss of microbial diversity is associated with disease activities of IPF.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 8 14%
Student > Bachelor 7 12%
Student > Master 6 10%
Other 6 10%
Other 9 16%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Immunology and Microbiology 8 14%
Agricultural and Biological Sciences 7 12%
Biochemistry, Genetics and Molecular Biology 4 7%
Chemistry 2 3%
Other 7 12%
Unknown 12 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 November 2018.
All research outputs
#2,120,001
of 14,370,331 outputs
Outputs from Respiratory Research
#235
of 1,789 outputs
Outputs of similar age
#59,831
of 274,448 outputs
Outputs of similar age from Respiratory Research
#1
of 2 outputs
Altmetric has tracked 14,370,331 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 86% of its peers.
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 274,448 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2 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