Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Mar;44(3):255-265.
doi: 10.1111/jcpe.12664. Epub 2017 Jan 27.

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

Affiliations

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

Ryan T Demmer et al. J Clin Periodontol. 2017 Mar.

Abstract

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-α and adiponectin were assessed from venous blood and their z-scores 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.

Keywords: C-reactive protein; adiponectin; diabetes; inflammation; insulin resistance; interleukin-6; microbiome; microbiota; periodontal; tumour necrosis factor-α.

PubMed Disclaimer

Conflict of interest statement

CONFLICT OF INTEREST

The authors have stated explicitly that there are no conflicts of interest in connection with this article.

Figures

Figure 1
Figure 1
Distribution of the 121 subgingival bacterial taxa detected in at least 20% of subjects (a) and 9 bacterial phyla (b) among n=152 men and women aged 18 – 55 years enrolled in The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) 2011 – 2013.
Figure 1
Figure 1
Distribution of the 121 subgingival bacterial taxa detected in at least 20% of subjects (a) and 9 bacterial phyla (b) among n=152 men and women aged 18 – 55 years enrolled in The Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS) 2011 – 2013.
Figure 2
Figure 2
Mean adjusted glucose, insulin and HOMA-IR levels across tertiles of four inflammatory mediators, C-Reactive Protein (CRP), Tumor Necrosis Factor-α (TNF-α), Interleukin-6 (IL-6) and adiponectin, and an inflammatory score based on the sum of the z-scores of the aforementioned mediators. Adjusted for age, sex, race/ethnicity, education, smoking status and body mass index.
Figure 3
Figure 3
Mean adjusted levels of four inflammatory mediators (C-Reactive Protein (CRP), Tumor Necrosis Factor-α (TNF-α), Interleukin-6 (IL-6) and adiponectin), and an inflammatory score (sum of the four standardized inflammatory markers) according to tertiles of the bacterial phyla Actinobacteria, Firmicutes and Proteobacteria. Adjusted for age, sex, race/ethnicity, education, smoking status and body mass index.
Figure 4
Figure 4
Mean adjusted glucose, insulin and HOMA-IR levels across tertiles of the bacterial phyla Actinobacteria, Firmicutes and Proteobacteria. Adjusted for age, sex, race/ethnicity, education, smoking status and body mass index.
Figure 5
Figure 5
Heatmap of multivariable adjusted Spearman correlation coefficients summarizing the association between 25 subgingival taxa (y-axis) and both inflammatory and metabolic biomarkers (x-axis). Axes were organized via unsupervised hierarchical clustering of correlation coefficients. The top 25 strongest correlations coefficients are presented. Color-coding adjacent to the vertical dendrogram corresponds to phylum membership of the taxa for that row of the heatmap: red = Actinobacteria, blue = Bacteroidetes, green = Firmicutes, purple = Fusobacteria, orange = Proteobacteria, yellow = Spirochetes, pink = Tenericutes, brown = Synergistetes, grey = TM7. CRP=C-reactive protein, TNF-α=tumor necrosis factor-α.

References

    1. ABUSLEME L, DUPUY AK, DUTZAN N, SILVA N, BURLESON JA, STRAUSBAUGH LD, GAMONAL J, DIAZ PI. The subgingival microbiome in health and periodontitis and its relationship with community biomass and inflammation. The ISME journal. 2013;7:1016–25. - PMC - PubMed
    1. ARORA N, PAPAPANOU PN, ROSENBAUM M, JACOBS DR, JR, DESVARIEUX M, DEMMER RT. Periodontal infection, impaired fasting glucose and impaired glucose tolerance: results from the Continuous National Health and Nutrition Examination Survey 2009–2010. Journal of Clinical Periodontology. 2014;41:643–52. - PMC - PubMed
    1. BOILLOT A, DEMMER RT, MALLAT Z, SACCO RL, JACOBS DR, BENESSIANO J, TEDGUI A, RUNDEK T, PAPAPANOU PN, DESVARIEUX M. Periodontal microbiota and phospholipases: The Oral Infections and Vascular Disease Epidemiology Study (INVEST) Atherosclerosis. 2015;242:418–423. - PMC - PubMed
    1. CEKICI A, KANTARCI A, HASTURK H, VAN DYKE TE. Inflammatory and immune pathways in the pathogenesis of periodontal disease. Periodontology 2000. 2014;64:57–80. - PMC - PubMed
    1. COLOMBO AP, BOCHES SK, COTTON SL, GOODSON JM, KENT R, HAFFAJEE AD, SOCRANSKY SS, HASTURK H, VAN DYKE TE, DEWHIRST F, PASTER BJ. Comparisons of subgingival microbial profiles of refractory periodontitis, severe periodontitis, and periodontal health using the human oral microbe identification microarray. J Periodontol. 2009;80:1421–32. - PMC - PubMed

Publication types