1. Characterization of salivary microbiota in elderly patients with type 2 diabetes mellitus: a matched case–control study
- Author
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Takaaki Ueno, Kuniyasu Kamiya, Shoichi Sakaguchi, Michi Omori, Nahoko Kato-Kogoe, Shota Nakamura, Chee Hoe Kit, Yan-Hong Gu, Nozomu Fukui, Junko Tamaki, Akihisa Imagawa, Takashi Nakano, and Masaaki Hoshiga
- Subjects
medicine.medical_specialty ,Saliva ,endocrine system diseases ,Phylum Firmicutes ,03 medical and health sciences ,Oral Microbiota ,0302 clinical medicine ,RNA, Ribosomal, 16S ,Internal medicine ,Humans ,Medicine ,In patient ,General Dentistry ,Aged ,business.industry ,Microbiota ,Case-control study ,Area under the curve ,nutritional and metabolic diseases ,Type 2 Diabetes Mellitus ,030206 dentistry ,stomatognathic diseases ,UniFrac ,Diabetes Mellitus, Type 2 ,Case-Control Studies ,030220 oncology & carcinogenesis ,business - Abstract
The importance of oral health in type 2 diabetes mellitus (T2DM) is widely recognized; however, oral microbiota characteristics associated with T2DM in the elderly population are not well-understood. This study was conducted to evaluate the characteristics of the salivary microbiota in elderly Japanese patients with T2DM. Saliva samples were collected from 42 elderly Japanese patients with T2DM and 42 age- and sex-matched subjects without T2DM (control). 16S ribosomal RNA metagenomic analysis and comparative analysis of both groups were performed. Random forest classification by machine learning was performed to discriminate between the salivary microbiota in the two groups. There were significant differences in the overall salivary microbiota structure between the T2DM and control groups (beta diversity; unweighted UniFrac distances, p = 0.001; weighted UniFrac distances, p = 0.001). The phylum Firmicutes was abundant in patients with T2DM, whereas the phylum Bacteroidetes was abundant in controls. The T2DM prediction model by random forest based on salivary microbiota data was verified with a high predictive potential in five cross-validation tests (area under the curve (AUC) = 0.938 (95% CI, 0.824–1.000)). Characterization revealed that the salivary microbiota profile of the elderly patients with T2DM is significantly distinct from that of the controls. These data indicate the necessity of oral health management based on the characteristics of the salivary microbiota in elderly patients with T2DM. Our findings will contribute to future research on the development of new diagnostic and therapeutic methods for this purpose.
- Published
- 2021
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