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Interrelatedness between dysbiosis in the gut microbiota due to immunodeficiency and disease penetrance of colitis

Overview of attention for article published in Immunology, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Title
Interrelatedness between dysbiosis in the gut microbiota due to immunodeficiency and disease penetrance of colitis
Published in
Immunology, September 2015
DOI 10.1111/imm.12511
Pubmed ID
Authors

Avijit Ray, Bonnie N. Dittel

Abstract

The composition of the microbiome in health and disease has only recently become a major research focus. While it is clear that an imbalance or dysbiosis in the microbiota are associated with disease their interrelatedness to disease penetrance is largely unknown. Inflammatory bowel disease (IBD) is an excellent disease in which to explore these questions. This is due to extensive genetic studies identifying disease susceptibility loci and the ability to easily sample the intestinal microbiota in IBD patients due to accessibility of stool samples. In addition, mouse models of IBD have also contributed to our understanding of the interrelatedness of the gut microbiota and genes associated with IBD. The power of the mouse studies is that multiple colitis models exist that can be used in combination with genetically modified mice that harbor deficiencies in IBD susceptibility genes. Collectively, these studies revealed that bacterial dybiosis does occur in human IBD and in mouse colitis models. In addition, with an emphasis on immune genes, the mouse studies provided evidence that specific immune regulatory proteins associated with IBD influence the gut microbiota in a manner consistent with disease penetrance. In this review, we will discuss studies in both humans and mice that demonstrate the impact of immunodeficiences in IL-10, IL-17, NOD2, NLRP3, NLRP6, TLR or IgA have on the interrelatedness between the composition of the gut microbiota and disease penetrance of IBD and its mouse models. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Master 14 15%
Student > Bachelor 12 13%
Student > Ph. D. Student 11 12%
Professor 5 5%
Other 14 15%
Unknown 15 16%
Readers by discipline Count As %
Medicine and Dentistry 21 22%
Agricultural and Biological Sciences 20 21%
Immunology and Microbiology 12 13%
Biochemistry, Genetics and Molecular Biology 10 11%
Nursing and Health Professions 6 6%
Other 5 5%
Unknown 21 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 05 July 2016.
All research outputs
#2,119,613
of 24,549,201 outputs
Outputs from Immunology
#143
of 2,554 outputs
Outputs of similar age
#28,360
of 273,053 outputs
Outputs of similar age from Immunology
#3
of 35 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 94% 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 273,053 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 89% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.