4.6 Article

The subgingival microbiome, systemic inflammation and insulin resistance: The Oral Infections, Glucose Intolerance and Insulin Resistance Study

期刊

JOURNAL OF CLINICAL PERIODONTOLOGY
卷 44, 期 3, 页码 255-265

出版社

WILEY
DOI: 10.1111/jcpe.12664

关键词

adiponectin; C-reactive protein; diabetes; inflammation; insulin resistance; interleukin-6; microbiome; microbiota; periodontal; tumour necrosis factor-alpha

资金

  1. NIH [R00 DE018739, R21 DE022422, R01 DK 102932]
  2. Calderone Research Award, Mailman School of Public Health
  3. Pilot & Feasibility Award from the Diabetes and Endocrinology Research Center, College of Physicians and Surgeons [DK-63608]
  4. National Center for Advancing Translational Sciences, National Institutes of Health [UL1 TR000040, UL1 RR024156]

向作者/读者索取更多资源

Background: Inflammation might link microbial exposures to insulin resistance. We investigated the cross-sectional association between periodontal microbiota, inflammation and insulin resistance. Methods: The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) enrolled 152 diabetes-free adults (77% female) aged 20-55 years (mean = 34 +/- 10). Three hundred and four subgingival plaque samples were analysed using the Human Oral Microbe Identification Microarray to measure the relative abundances of 379 taxa. C-reactive protein, interleukin-6, tumour necrosis factor-a and adiponectin were assessed from venous blood and their zscores were summed to create an inflammatory score (IS). Insulin resistance was defined via the HOMA-IR. Associations between the microbiota and both inflammation and HOMA-IR were explored using multivariable linear regressions; mediation analyses assessed the proportion of the association explained by inflammation. Results: The IS was inversely associated with Actinobacteria and Proteobacteria and positively associated with Firmicutes and TM7 (p-values < 0.05). Proteobacteria levels were associated with insulin resistance (p < 0.05). Inflammation explained 30-98% of the observed associations between levels of Actinobacteria, Proteobacteria or Firmicutes and insulin resistance (p-values < 0.05). Eighteen individual taxa were associated with inflammation (p < 0.05) and 22 with insulin resistance (p < 0.05). No findings for individual taxa met Bonferroni-adjusted statistical significance. Conclusion: Bacterial measures were related to inflammation and insulin resistance among diabetes- free adults.

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