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Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease

Overview of attention for article published in Genome Biology, April 2015
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
twitter
21 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
171 Dimensions

Readers on

mendeley
339 Mendeley
citeulike
4 CiteULike
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Title
Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease
Published in
Genome Biology, April 2015
DOI 10.1186/s13059-015-0637-x
Pubmed ID
Authors

Xochitl C Morgan, Boyko Kabakchiev, Levi Waldron, Andrea D Tyler, Timothy L Tickle, Raquel Milgrom, Joanne M Stempak, Dirk Gevers, Ramnik J Xavier, Mark S Silverberg, Curtis Huttenhower

Abstract

Pouchitis is common after ileal pouch-anal anastomosis (IPAA) surgery for ulcerative colitis (UC). Similarly to inflammatory bowel disease (IBD), both host genetics and the microbiota are implicated in its pathogenesis. We use the IPAA model of IBD to associate mucosal host gene expression with mucosal microbiomes and clinical outcomes. We analyze host transcriptomic data and 16S rRNA gene sequencing data from paired biopsies from IPAA patients with UC and familial adenomatous polyposis. To achieve power for a genome-wide microbiome-transcriptome association study, we use principal component analysis for transcript and clade reduction, and identify significant covariation between clades and transcripts. Host transcripts covary primarily with biopsy location and inflammation, while microbes covary primarily with antibiotic use. Transcript-microbe associations are surprisingly modest, but the most strongly microbially-associated host transcript pattern is enriched for complement cascade genes and for the interleukin-12 pathway. Activation of these host processes is inversely correlated with Sutterella, Akkermansia, Bifidobacteria, and Roseburia abundance, and positively correlated with Escherichia abundance. This study quantifies the effects of inflammation, antibiotic use, and biopsy location upon the microbiome and host transcriptome during pouchitis. Understanding these effects is essential for basic biological insights as well as for well-designed and adequately-powered studies. Additionally, our study provides a method for profiling host-microbe interactions with appropriate statistical power using high-throughput sequencing, and suggests that cross-sectional changes in gut epithelial transcription are not a major component of the host-microbiome regulatory interface during pouchitis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
France 1 <1%
Italy 1 <1%
Sweden 1 <1%
Australia 1 <1%
Taiwan 1 <1%
United Kingdom 1 <1%
Unknown 324 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 21%
Researcher 71 21%
Student > Master 35 10%
Other 21 6%
Student > Bachelor 19 6%
Other 60 18%
Unknown 61 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 30%
Medicine and Dentistry 61 18%
Biochemistry, Genetics and Molecular Biology 43 13%
Immunology and Microbiology 22 6%
Computer Science 13 4%
Other 29 9%
Unknown 70 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 28 February 2019.
All research outputs
#1,571,786
of 25,837,817 outputs
Outputs from Genome Biology
#1,270
of 4,513 outputs
Outputs of similar age
#19,668
of 281,708 outputs
Outputs of similar age from Genome Biology
#18
of 66 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 71% 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 281,708 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 93% of its contemporaries.
We're also able to compare this research output to 66 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 72% of its contemporaries.