Background: A reciprocal relationship between oral health and systemic disease, such as type 2 diabetes, has been suggested, whereby a systemic disease is a predisposing factor for oral infection. If the infection occurs, it in turn aggravates the progression of the systemic disease. According to several studies, certain constituents of the oral microbiota are linked to diabetes, metabolic syndrome, and obesity. In the current study, we aimed to compare the microbial diversity and population structure of the oral microbiota of normoglycemic, impaired glucose tolerance (IGT), and diabetes patients.
Methodology: The study followed a case-control design, with 15 type 2 diabetes patients, 10 IGT subjects, and 19 control subjects. All subjects underwent assessment of periodontitis and oral health. Saliva samples were collected, and DNA was isolated from these samples. Hypervariable regions of the 16Sr RNA gene were amplified and sequenced, and the generated sequences underwent bioinformatics analysis. Statistical analysis and diversity index calculations were made using the statistical software R, vegan R-package, and Past3.20 software.
Results: Overall, 551 operational taxonomic units (OTUs) were identified. Based on OTU analysis, a clear reduction of the number of species was observed in both IGT (412) and diabetes groups (372) compared with that in the normoglycemic group (502). This was associated with a similar pattern of reduction of biological diversity among the three groups. The phylogenetic diversity (PD-SBL) value in the normoglycemic group was higher than that in the diabetes group. The diabetes group exhibited the highest evenness value and the highest microbiota bacterial pathogenic content.
Conclusion: A clear reduction of the biological and phylogenetic diversity was apparent in the diabetes and pre-diabetes oral microbiota in comparison with that in the normoglycemic oral microbiota. However, this was associated with an increase in the pathogenic content of the hyperglycemic microbiota. The results of this study may aid to better understanding of the directionality of the mysterious reciprocal relationship.
Keywords: 16S rRNA; Biological diversity; Diabetes; Impaired glucose tolerance; Ion torrent; Next-generation sequencing; Operational taxonomic unit; Oral microbiota; Phylogenetic diversity.
Copyright © 2019 Elsevier Ltd. All rights reserved.