4.7 Article

Changes in salivary biomarkers associated with periodontitis and diabetic neuropathy in individuals with type 1 diabetes

Journal

SCIENTIFIC REPORTS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-022-15430-0

Keywords

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Funding

  1. University of Michigan Biointerfaces Institute
  2. ITI Foundation
  3. Osteology Foundation
  4. JDRF
  5. NIH [U01 DK119083]
  6. [NIH/NIDDK-1-R01-DK-107956-01]

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The objective of this pilot clinical study was to identify salivary biomarkers associated with periodontal disease and diabetic autonomic dysfunction. The study found that selected salivary biomarkers, such as IgA, combined with a periodontal examination, can offer a non-invasive method to assess the risk for developing diabetic neuropathy.
The objective of this pilot clinical study was to identify salivary biomarkers that are associated with periodontal disease and measures of diabetic autonomic dysfunction. Saliva samples from 32 participants were obtained from 3 groups: healthy (H), type 1 diabetes mellitus (DM), and type 1 diabetes mellitus with neuropathy (DMN). Based on the periodontal examination, individuals' mean Periodontal Screening and Recording scores were categorized into two groups (periodontally healthy and gingivitis), and correlated to specific salivary inflammatory biomarkers assessed by a customized protein array and enzyme assay. The mean salivary IgA level in DM was 9211.5 +/- 4776.4 pg/ml, which was significantly lower than H (17,182.2 +/- 8899.3 pg/ml). IgA in DMN with healthy periodontium was significantly lower (5905.5 +/- 3124.8 pg/ml) compared to H, although IgA levels in DMN patients with gingivitis (16,894. 6 +/- 7084.3) were not. According to the result of a logistic regression model, IgA and periodontal condition were the indicators of the binary response given by H versus DM, and H versus DMN, respectively. These data suggest that selected salivary biomarkers, such as IgA, combined with a periodontal examination prior to obtaining salivary samples can offer a non-invasive method to assess risk for developing diabetic neuropathy.

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