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Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics

Overview of attention for article published in Mammalian Genome, August 2014
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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92 Mendeley
Title
Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics
Published in
Mammalian Genome, August 2014
DOI 10.1007/s00335-014-9540-0
Pubmed ID
Authors

Annalouise O’Connor, Pamela M. Quizon, Jody E. Albright, Fred T. Lin, Brian J. Bennett

Abstract

Intestinal microbial community structure is driven by host genetics in addition to environmental factors such as diet. In comparison with environmental influences, the effect of host genetics on intestinal microbiota, and how host-driven differences alter host metabolism is unclear. Additionally, the interaction between host genetics and diet, and the impact on the intestinal microbiome and possible down-stream effect on host metabolism is not fully understood, but represents another aspects of inter-individual variation in disease risk. The objectives of this study were to investigate how diet and genetic background shape microbial communities, and how these diet- and genetic-driven microbial differences relate to cardiometabolic phenotypes. To determine these effects, we used the 8 progenitor strains of the collaborative cross/diversity outbred mapping panels (C57BL/6J, A/J, NOD/ShiLtJ, NZO/HILtJ, WSB/EiJ, CAST/EiJ, PWK/PhJ, and 129S1/SvImJ). 16s rRNA profiling of enteric microbial communities in addition to the assessment of phenotypes central to cardiometabolic health was conducted under baseline nutritional conditions and in response to diets varying in atherogenic nutrient (fat, cholesterol, cholic acid) composition. These studies revealed strain-driven differences in enteric microbial communities which were retained with dietary intervention. Diet-strain interactions were seen for a core group of cardiometabolic-related microbial taxa. In conclusion, these studies highlight diet and genetically regulated cardiometabolic-related microbial taxa. Furthermore, we demonstrate the progenitor model is useful for nutrigenomic-based studies and screens seeking to investigate the interaction between genetic background and the phenotypic and microbial response to diet.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 26%
Student > Ph. D. Student 15 16%
Student > Master 13 14%
Professor > Associate Professor 6 7%
Student > Doctoral Student 4 4%
Other 14 15%
Unknown 16 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 33%
Biochemistry, Genetics and Molecular Biology 14 15%
Medicine and Dentistry 8 9%
Immunology and Microbiology 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 11 12%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 August 2015.
All research outputs
#7,445,571
of 22,761,738 outputs
Outputs from Mammalian Genome
#318
of 1,126 outputs
Outputs of similar age
#75,844
of 236,468 outputs
Outputs of similar age from Mammalian Genome
#2
of 11 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 236,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.