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Drinking alcohol is associated with variation in the human oral microbiome in a large study of American adults

Overview of attention for article published in Microbiome, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 1,792)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
86 news outlets
blogs
4 blogs
twitter
114 X users
facebook
7 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
276 Mendeley
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Title
Drinking alcohol is associated with variation in the human oral microbiome in a large study of American adults
Published in
Microbiome, April 2018
DOI 10.1186/s40168-018-0448-x
Pubmed ID
Authors

Xiaozhou Fan, Brandilyn A. Peters, Eric J. Jacobs, Susan M. Gapstur, Mark P. Purdue, Neal D. Freedman, Alexander V. Alekseyenko, Jing Wu, Liying Yang, Zhiheng Pei, Richard B. Hayes, Jiyoung Ahn

Abstract

Dysbiosis of the oral microbiome can lead to local oral disease and potentially to cancers of the head, neck, and digestive tract. However, little is known regarding exogenous factors contributing to such microbial imbalance. We examined the impact of alcohol consumption on the oral microbiome in a cross-sectional study of 1044 US adults. Bacterial 16S rRNA genes from oral wash samples were amplified, sequenced, and assigned to bacterial taxa. We tested the association of alcohol drinking level (non-drinker, moderate drinker, or heavy drinker) and type (liquor, beer, or wine) with overall microbial composition and individual taxon abundance. The diversity of oral microbiota and overall bacterial profiles differed between heavy drinkers and non-drinkers (α-diversity richness p = 0.0059 and β-diversity unweighted UniFrac p = 0.0036), and abundance of commensal order Lactobacillales tends to be decreased with higher alcohol consumption (fold changes = 0.89 and 0.94 for heavy and moderate drinkers, p trend = 0.005 [q = 0.064]). Additionally, certain genera were enriched in subjects with higher alcohol consumption, including Actinomyces, Leptotrichia, Cardiobacterium, and Neisseria; some of these genera contain oral pathogens, while Neisseria can synthesize the human carcinogen acetaldehyde from ethanol. Wine drinkers may differ from non-drinkers in microbial diversity and profiles (α-diversity richness p = 0.048 and β-diversity unweighted UniFrac p = 0.059) after controlling for drinking amount, while liquor and beer drinkers did not. All significant differences between drinkers and non-drinkers remained after exclusion of current smokers. Our results, from a large human study of alcohol consumption and the oral microbiome, indicate that alcohol consumption, and heavy drinking in particular, may influence the oral microbiome composition. These findings may have implications for better understanding the potential role that oral bacteria play in alcohol-related diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 114 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 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 276 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 40 14%
Researcher 35 13%
Student > Ph. D. Student 33 12%
Student > Master 31 11%
Student > Doctoral Student 15 5%
Other 37 13%
Unknown 85 31%
Readers by discipline Count As %
Medicine and Dentistry 55 20%
Biochemistry, Genetics and Molecular Biology 45 16%
Agricultural and Biological Sciences 21 8%
Immunology and Microbiology 18 7%
Nursing and Health Professions 6 2%
Other 34 12%
Unknown 97 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 758. 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 03 October 2023.
All research outputs
#26,306
of 25,732,188 outputs
Outputs from Microbiome
#10
of 1,792 outputs
Outputs of similar age
#575
of 340,857 outputs
Outputs of similar age from Microbiome
#1
of 57 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one has done particularly well, scoring higher than 99% 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 340,857 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 99% of its contemporaries.
We're also able to compare this research output to 57 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 98% of its contemporaries.