Objective
To investigate the associations of the oral microbiome status with diabetes characteristics in elderly patients with type 2 diabetes mellitus.
Methods
A questionnaire was used to assess age, sex, smoking status, drinking status, flossing frequency, T2DM duration and complications, and a blood test was used to determine the glycated haemoglobin (HbA1c) level. Sequencing of the V3-V4 region of the 16S rRNA gene from saliva samples was used to analyze the oral microbiome.
Results
Differential analysis revealed that
Streptococcus
and
Weissella
were significantly enriched in the late-stage group, and
Capnocytophaga
was significantly enriched in the early-stage group. Correlation analysis revealed that diabetes duration was positively correlated with the abundance of
Streptococcus
(
r
= 0.369,
p
= 0.007) and negatively correlated with the abundance of
Cardiobacterium
(
r
= -0.337,
p
= 0.014), and the level of HbA1c was not significantly correlated with the oral microbiome. Network analysis suggested that the poor control group had a more complex microbial network than the control group, a pattern that was similar for diabetes duration. In addition, Streptococcus has a low correlation with other microorganisms.
Conclusion
In elderly individuals,
Streptococcus
emerges as a potential biomarker linked to diabetes, exhibiting elevated abundance in diabetic patients influenced by disease exposure and limited bacterial interactions.