↓ Skip to main content

Characterization of antibiotic resistance determinants in oral biofilms

Overview of attention for article published in Journal of Microbiology, September 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
74 Mendeley
Title
Characterization of antibiotic resistance determinants in oral biofilms
Published in
Journal of Microbiology, September 2011
DOI 10.1007/s12275-011-0519-1
Pubmed ID
Authors

Seon-Mi Kim, Hyeong C. Kim, Seok-Woo S. Lee

Abstract

Oral biofilms contain numerous antibiotic resistance determinants that can be transferred within or outside of the oral cavity. The aim of this study was to evaluate the prevalence and the relative level of antibiotic resistance determinants from oral biofilms. Oral biofilm samples that were collected from healthy subjects and periodontitis patients were subjected to qualitative and quantitative analyses for selected antibiotic resistance determinants using PCR. The prevalence of tet(Q), tet(M), cfxA, and bla ( TEM ) was very high both in the patient and the healthy subject group, with a tendency toward higher values in the patient group, with the exception of erm(F), which was more prevalent in the healthy group. The two extended spectrum β-lactam (ESBL) resistance determinants bla ( SHV ) and bla ( TEM ) showed a dramatic difference, as bla ( TEM ) was present in all of the samples and bla ( SHV ) was not found at all. The aacA-aphD, vanA, and mecA genes were rarely detected, suggesting that they are not common in oral bacteria. A quantitative PCR analysis showed that the relative amount of resistance determinants present in oral biofilms of the patient group was much greater than that of the healthy group, exhibiting 17-, 13-, 145-, and 3-fold increases for tet(Q), tet(M), erm(F), and cfxA, respectively. The results of this study suggest that the oral antibiotic resistome is more diverse and abundant in periodontitis patients than in healthy subjects, suggesting that there is a difference in the diversity and distribution of antibiotic resistance in oral biofilms associated with health and disease.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Norway 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Postgraduate 11 15%
Researcher 9 12%
Student > Bachelor 7 9%
Other 6 8%
Other 17 23%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Agricultural and Biological Sciences 13 18%
Biochemistry, Genetics and Molecular Biology 12 16%
Immunology and Microbiology 4 5%
Engineering 3 4%
Other 9 12%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2011.
All research outputs
#18,784,308
of 23,975,976 outputs
Outputs from Journal of Microbiology
#515
of 842 outputs
Outputs of similar age
#103,735
of 127,591 outputs
Outputs of similar age from Journal of Microbiology
#6
of 6 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 842 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 38th percentile – i.e., 38% 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 127,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.