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Inflammation-associated enterotypes, host genotype, cage and inter-individual effects drive gut microbiota variation in common laboratory mice

Overview of attention for article published in Genome Biology, January 2013
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
11 X users
patent
2 patents

Citations

dimensions_citation
378 Dimensions

Readers on

mendeley
455 Mendeley
citeulike
4 CiteULike
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Title
Inflammation-associated enterotypes, host genotype, cage and inter-individual effects drive gut microbiota variation in common laboratory mice
Published in
Genome Biology, January 2013
DOI 10.1186/gb-2013-14-1-r4
Pubmed ID
Authors

Falk Hildebrand, Thi Loan Anh Nguyen, Brigitta Brinkman, Roberto Garcia Yunta, Benedicte Cauwe, Peter Vandenabeele, Adrian Liston, Jeroen Raes

Abstract

BACKGROUND: Murine models are a crucial component of gut microbiome research. Unfortunately, a multitude of genetic backgrounds and experimental setups, together with inter-individual variation, complicates cross-study comparisons and a global understanding of the mouse microbiota landscape. Here, we investigate the variability of the healthy mouse microbiota of five common lab mouse strains using 16S rDNA pyrosequencing. RESULTS: We find initial evidence for richness-driven, strain-independent murine enterotypes that show a striking resemblance to those in human, and which associate with calprotectin levels, a marker for intestinal inflammation. After enterotype stratification, we find that genetic, caging and inter-individual variation contribute on average 19%, 31.7% and 45.5%, respectively, to the variance in the murine gut microbiota composition. Genetic distance correlates positively to microbiota distance, so that genetically similar strains have more similar microbiota than genetically distant ones. Specific mouse strains are enriched for specific operational taxonomic units and taxonomic groups, while the 'cage effect' can occur across mouse strain boundaries and is mainly driven by Helicobacter infections. CONCLUSIONS: The detection of enterotypes suggests a common ecological cause, possibly low-grade inflammation that might drive differences among gut microbiota composition in mammals. Furthermore, the observed environmental and genetic effects have important consequences for experimental design in mouse microbiome research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Germany 4 <1%
France 3 <1%
Netherlands 2 <1%
Austria 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 433 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 142 31%
Researcher 104 23%
Student > Master 44 10%
Student > Bachelor 35 8%
Student > Doctoral Student 24 5%
Other 53 12%
Unknown 53 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 197 43%
Biochemistry, Genetics and Molecular Biology 51 11%
Immunology and Microbiology 49 11%
Medicine and Dentistry 36 8%
Veterinary Science and Veterinary Medicine 9 2%
Other 44 10%
Unknown 69 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 26 June 2023.
All research outputs
#1,420,411
of 26,017,215 outputs
Outputs from Genome Biology
#1,125
of 4,520 outputs
Outputs of similar age
#12,496
of 294,476 outputs
Outputs of similar age from Genome Biology
#17
of 50 outputs
Altmetric has tracked 26,017,215 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 4,520 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 done well, scoring higher than 75% 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 294,476 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 95% of its contemporaries.
We're also able to compare this research output to 50 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 66% of its contemporaries.