Impact of HbA1c control and type 2 diabetes mellitus exposure on the oral microbiome profile in the elderly population.

J Oral Microbiol

Nursing Department, State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

Published: May 2024

AI Article Synopsis

  • The study aimed to explore how the oral microbiome is related to diabetes characteristics in older adults with type 2 diabetes.
  • Researchers collected data through questionnaires and blood tests, and analyzed saliva samples to understand the oral microbiome's composition.
  • The findings suggest a specific microbial pattern linked to diabetes duration, with certain bacteria being more abundant in late-stage diabetes, highlighting potential biomarkers for this condition.

Article Abstract

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 and were significantly enriched in the late-stage group, and was significantly enriched in the early-stage group. Correlation analysis revealed that diabetes duration was positively correlated with the abundance of (= 0.369, = 0.007) and negatively correlated with the abundance of (= -0.337, = 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, emerges as a potential biomarker linked to diabetes, exhibiting elevated abundance in diabetic patients influenced by disease exposure and limited bacterial interactions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11097700PMC
http://dx.doi.org/10.1080/20002297.2024.2345942DOI Listing

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