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Investigation of the Effect of Type 2 Diabetes Mellitus on Subgingival Plaque Microbiota by High-Throughput 16S rDNA Pyrosequencing

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Title
Investigation of the Effect of Type 2 Diabetes Mellitus on Subgingival Plaque Microbiota by High-Throughput 16S rDNA Pyrosequencing
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061516
Pubmed ID
Authors

Mi Zhou, Ruichen Rong, Daniel Munro, Chunxia Zhu, Xiang Gao, Qi Zhang, Qunfeng Dong

Abstract

Diabetes mellitus is a major risk factor for chronic periodontitis. We investigated the effects of type 2 diabetes on the subgingival plaque bacterial composition by applying culture-independent 16S rDNA sequencing to periodontal bacteria isolated from four groups of volunteers: non-diabetic subjects without periodontitis, non-diabetic subjects with periodontitis, type 2 diabetic patients without periodontitis, and type 2 diabetic patients with periodontitis. A total of 71,373 high-quality sequences were produced from the V1-V3 region of 16S rDNA genes by 454 pyrosequencing. Those 16S rDNA sequences were classified into 16 phyla, 27 classes, 48 orders, 85 families, 126 genera, and 1141 species-level OTUs. Comparing periodontally healthy samples with periodontitis samples identified 20 health-associated and 15 periodontitis-associated OTUs. In the subjects with healthy periodontium, the abundances of three genera (Prevotella, Pseudomonas, and Tannerella) and nine OTUs were significantly different between diabetic patients and their non-diabetic counterparts. In the subjects carrying periodontitis, the abundances of three phyla (Actinobacteria, Proteobacteria, and Bacteriodetes), two genera (Actinomyces and Aggregatibacter), and six OTUs were also significantly different between diabetics and non-diabetics. Our results show that type 2 diabetes mellitus could alter the bacterial composition in the subgingival plaque.

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Geographical breakdown

Country Count As %
United States 1 <1%
Sweden 1 <1%
Unknown 152 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Student > Master 26 17%
Researcher 25 16%
Student > Bachelor 13 8%
Student > Postgraduate 11 7%
Other 22 14%
Unknown 25 16%
Readers by discipline Count As %
Medicine and Dentistry 57 37%
Agricultural and Biological Sciences 25 16%
Biochemistry, Genetics and Molecular Biology 14 9%
Immunology and Microbiology 12 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 11 7%
Unknown 31 20%