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Alcohol and tobacco consumption affects bacterial richness in oral cavity mucosa biofilms

Overview of attention for article published in BMC Microbiology, October 2014
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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 (89th percentile)

Mentioned by

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1 news outlet
twitter
7 tweeters

Citations

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50 Dimensions

Readers on

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137 Mendeley
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Title
Alcohol and tobacco consumption affects bacterial richness in oral cavity mucosa biofilms
Published in
BMC Microbiology, October 2014
DOI 10.1186/s12866-014-0250-2
Pubmed ID
Authors

Andrew Maltez Thomas, Frederico Omar Gleber-Netto, Gustavo Ribeiro Fernandes, Maria Amorim, Luisa Fernanda Barbosa, Ana Luisa Noronha Francisco, Arthur Guerra de Andrade, João Carlos Setubal, Luiz Paulo Kowalski, Diana Noronha Nunes, Emmanuel Dias-Neto

Abstract

BackgroundToday there are more than 2 billion alcohol users and about 1.3 billion tobacco users worldwide. The chronic and heavy use of these two substances is at the heart of numerous diseases and may wreak havoc on the human oral microbiome. This study delves into the changes that alcohol and tobacco may cause on biofilms of the human oral microbiome. To do so, we used swabs to sample the oral biofilm of 22 subjects; including 9 control-individuals with no or very low consumption of alcohol and no consumption of tobacco, 7 who were chronic and heavy users of both substances and 6 active smokers that reported no significant alcohol consumption. DNA was extracted from swabs and the V1 region of the 16S rRNA gene was PCR amplified and sequenced using the Ion Torrent PGM platform, generating 3.7 million high quality reads. DNA sequences were clustered and OTUs were assigned using the ARB SILVA database and Qiime.ResultsWe found no differences in species diversity and evenness among the groups. However, we found a significant decrease in species richness in only smokers and in smokers/drinkers when compared to controls. We found that Neisseria abundance was significantly decreased in both groups when compared to controls. Smokers had significant increases in Prevotella and Capnocytophaga and reductions in Granulicatella, Staphylococcus, Peptostreptococcus and Gemella when compared to the two other groups. Controls showed higher abundance of Aggregibacter, whilst smokers/drinkers had lower abundances of Fusobacteria. Samples from only smokers clustered closer together than to controls and smokers/drinkers, and also had a significant reduction in inter-group dissimilarity distances, indicating a more homogenous group than controls.ConclusionsOur results indicate that the continued use of tobacco or alcohol plus tobacco significantly reduces bacterial richness, which apparently leads to a reduction in inter-group variability, turning the respective biofilms into a more homogenous microenvironment in terms of bacterial community composition, with possible consequences for human oral diseases.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 19%
Student > Ph. D. Student 20 15%
Researcher 16 12%
Student > Master 16 12%
Student > Doctoral Student 9 7%
Other 23 17%
Unknown 27 20%
Readers by discipline Count As %
Medicine and Dentistry 32 23%
Agricultural and Biological Sciences 28 20%
Biochemistry, Genetics and Molecular Biology 12 9%
Immunology and Microbiology 12 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 17 12%
Unknown 32 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 October 2015.
All research outputs
#1,982,894
of 21,144,390 outputs
Outputs from BMC Microbiology
#142
of 3,025 outputs
Outputs of similar age
#23,576
of 226,226 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 21,144,390 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,025 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 95% 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 226,226 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 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