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Detection of dental plaque and its potential pathogenicity using quantitative light-induced fluorescence

Authors
 Eun‐Song Lee  ;  Elbert de Josselin de Jong  ;  Baek‐Il Kim 
Citation
 Journal of Biophotonics, Vol.12(7) : e201800414., 2019 
Journal Title
 Journal of Biophotonics 
ISSN
 1864-063X 
Issue Date
2019
Keywords
dental plaque ; gingivitis ; microbiota ; optical diagnosis ; quantitative light-induced fluorescence
Abstract
Quantitative light-induced fluorescence (QLF) technology can detect some dental plaque as red fluorescence. This in vivo study aimed to identify the microbial characteristics of red fluorescent (RF) dental plaque using 16S rRNA gene sequencing and evaluate the correlations between RF plaque and the clinical symptoms of dental diseases. Paired supragingival plaque samples collected from each 10 subjects and consisted of RF and non-RF dental plaques as observed by QLF technology using a 405 nm blue light source for excitation. The characteristics of the bacterial communities in the RF and non-RF plaque samples were compared by sequencing analysis. An increase in microbial diversity was observed in RF plaque compared with the non-RF plaque. There were significant differences in the community compositions between the 2 types of dental plaque. Periodontopathic bacteria were significantly more abundant in the RF plaque than non-RF plaque. The fluorescence intensity of RF plaque was significantly related to the proportion of the periodontopathic bacterial community and the presence of gingival inflammation. In conclusion, the plaque red fluorescence is associated with changes in the microbial composition and enrichment of periodontopathic pathogens, which suggests that RF plaque detected by QLF technology could be used as a risk indicator for gingival inflammation.
Full Text
https://onlinelibrary.wiley.com/doi/full/10.1002/jbio.201800414
DOI
10.1002/jbio.201800414
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Preventive Dentistry and Public Oral Health (예방치과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Baek Il(김백일) ORCID logo https://orcid.org/0000-0001-8234-2327
Lee, Eun Song(이은송) ORCID logo https://orcid.org/0000-0002-2949-4783
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/171140
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