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Diet may influence the oral microbiome composition in cats

Overview of attention for article published in Microbiome, June 2016
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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 (86th percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters

Citations

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34 Dimensions

Readers on

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106 Mendeley
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Title
Diet may influence the oral microbiome composition in cats
Published in
Microbiome, June 2016
DOI 10.1186/s40168-016-0169-y
Pubmed ID
Authors

Christina J. Adler, Richard Malik, Gina V. Browne, Jacqueline M. Norris

Abstract

Periodontal disease is highly prevalent amongst domestic cats, causing pain, gingival bleeding, reduced food intake, loss of teeth and possibly impacts on overall systemic health. Diet has been suggested to play a role in the development of periodontal disease in cats. There is a complete lack of information about how diet (composition and texture) affects the feline oral microbiome, the composition of which may influence oral health and the development of periodontal disease. We undertook a pilot study to assess if lifelong feeding of dry extruded kibble or wet (canned and/or fresh meat combinations) diets to cats (n = 10) with variable oral health affected the microbiome. Oral microbiome composition was assessed by amplifying the V1-V3 region of the 16S gene from supragingival dental plaque DNA extracts. These amplicons were sequenced using Illumina technology. This deep sequencing revealed the feline oral microbiome to be diverse, containing 411 bacterial species from 14 phyla. We found that diet had a significant influence on the overall diversity and abundance of specific bacteria in the oral environment. Cats fed a dry diet exclusively had higher bacterial diversity in their oral microbiome than wet-food diet cats (p < 0.001). Amongst this higher diversity, cats on dry-food diets had a higher abundance of Porphyromonas spp. (p < 0.01) and Treponema spp. (p < 0.01). While we observed differences in the oral microbiome between cats on the two diets assessed, the relationship between these differences and gingival health was unclear. Our preliminary results indicate that further analysis of the influence of dietary constituents and texture on the feline oral microbiome is required to reveal the relationship between diet, the oral microbiome and gingival health in cats.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Italy 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 18%
Student > Ph. D. Student 16 15%
Researcher 15 14%
Student > Master 14 13%
Student > Doctoral Student 8 8%
Other 18 17%
Unknown 16 15%
Readers by discipline Count As %
Medicine and Dentistry 20 19%
Veterinary Science and Veterinary Medicine 19 18%
Agricultural and Biological Sciences 15 14%
Biochemistry, Genetics and Molecular Biology 12 11%
Immunology and Microbiology 7 7%
Other 14 13%
Unknown 19 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 August 2018.
All research outputs
#2,406,176
of 22,489,683 outputs
Outputs from Microbiome
#931
of 1,389 outputs
Outputs of similar age
#38,990
of 282,800 outputs
Outputs of similar age from Microbiome
#1
of 1 outputs
Altmetric has tracked 22,489,683 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one is in the 32nd percentile – i.e., 32% 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 282,800 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 86% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them