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Relationship Between Serologic Markers of Periodontal Bacteria and Metabolic Syndrome and Its Components

    1. [1] University of South Carolina

      University of South Carolina

      Estados Unidos

    2. [2] Kyungpook National University

      Kyungpook National University

      Corea del Sur

  • Localización: Journal of periodontology, ISSN 0022-3492, Vol. 86, Nº. 3, 2015, págs. 418-430
  • Idioma: inglés
  • Enlaces
  • Resumen
    • Background: Periodontitis is a result of a complex biologic alteration of the periodontal microenvironment and a distributional shift of key periodontal pathogens. Metabolic syndrome (MetS), a complex cluster of cardiovascular risk factors, has been linked to periodontal diseases; however, the contribution of periodontal bacteria to systemic conditions remains unclear.

      Methods: The study population comprised 7,848 United States adults who participated in an interview, underwent a clinical oral-health examination, and had serum immunoglobulin G titers measured against 19 periodontal bacteria as part of the third National Health and Nutritional Examination Survey. The z-score antibody titers were clustered into four mutually exclusive groups and named after Socransky’s classification of periodontal bacteria (Orange-Red, Red-Green, Yellow-Orange, and Orange-Blue). Survey logistic regression was used to investigate the independent associations between the cluster scores, and MetS and each component, including hypertension, hypertriglyceridemia, low high-density lipoprotein cholesterol, central obesity, and elevated fasting glucose.

      Results: The Orange-Red cluster score (that included Porphyromonas gingivalis and Prevotella spp.) was positively associated (odds ratio [OR] = 1.067, 95% confidence interval [CI] = 1.02 to 1.12) and the Orange-Blue cluster score (which included Actinomyces naeslundii and Eubacterium nodatum) was inversely associated (OR = 0.93, 95% CI = 0.88 to 0.97) with elevated fasting glucose (≥110 mg/dL) after adjustment for clusters and potential confounders. Neither MetS nor its other remaining MetS components were associated with a particular cluster score.

      Conclusions: The associations between specific antibody clusters (Orange-Red and Orange-Blue) against periodontal bacteria and elevated plasma glucose were in qualitatively opposite directions after multivariable adjustment in a large, adult population. The periodontal bacterial profile was not found to be associated with metabolic control other than a very moderate association with elevated plasma glucose.


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