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Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis

Overview of attention for article published in Genome Biology, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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2 blogs
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23 X users
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4 Facebook pages

Citations

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267 Dimensions

Readers on

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269 Mendeley
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1 CiteULike
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Title
Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis
Published in
Genome Biology, July 2017
DOI 10.1186/s13059-017-1271-6
Pubmed ID
Authors

Chengping Wen, Zhijun Zheng, Tiejuan Shao, Lin Liu, Zhijun Xie, Emmanuelle Le Chatelier, Zhixing He, Wendi Zhong, Yongsheng Fan, Linshuang Zhang, Haichang Li, Chunyan Wu, Changfeng Hu, Qian Xu, Jia Zhou, Shunfeng Cai, Dawei Wang, Yun Huang, Maxime Breban, Nan Qin, Stanislav Dusko Ehrlich

Abstract

The assessment and characterization of the gut microbiome has become a focus of research in the area of human autoimmune diseases. Ankylosing spondylitis is an inflammatory autoimmune disease and evidence showed that ankylosing spondylitis may be a microbiome-driven disease. To investigate the relationship between the gut microbiome and ankylosing spondylitis, a quantitative metagenomics study based on deep shotgun sequencing was performed, using gut microbial DNA from 211 Chinese individuals. A total of 23,709 genes and 12 metagenomic species were shown to be differentially abundant between ankylosing spondylitis patients and healthy controls. Patients were characterized by a form of gut microbial dysbiosis that is more prominent than previously reported cases with inflammatory bowel disease. Specifically, the ankylosing spondylitis patients demonstrated increases in the abundance of Prevotella melaninogenica, Prevotella copri, and Prevotella sp. C561 and decreases in Bacteroides spp. It is noteworthy that the Bifidobacterium genus, which is commonly used in probiotics, accumulated in the ankylosing spondylitis patients. Diagnostic algorithms were established using a subset of these gut microbial biomarkers. Alterations of the gut microbiome are associated with development of ankylosing spondylitis. Our data suggest biomarkers identified in this study might participate in the pathogenesis or development process of ankylosing spondylitis, providing new leads for the development of new diagnostic tools and potential treatments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 269 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 15%
Researcher 31 12%
Student > Master 31 12%
Student > Bachelor 21 8%
Other 19 7%
Other 54 20%
Unknown 73 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 15%
Medicine and Dentistry 39 14%
Agricultural and Biological Sciences 34 13%
Immunology and Microbiology 28 10%
Computer Science 11 4%
Other 31 12%
Unknown 86 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 12 May 2022.
All research outputs
#1,294,208
of 25,382,440 outputs
Outputs from Genome Biology
#997
of 4,468 outputs
Outputs of similar age
#25,661
of 327,247 outputs
Outputs of similar age from Genome Biology
#19
of 63 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 77% 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 327,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.