Early microbial markers of periodontal and cardiometabolic diseases in ORIGINS

Clarisse Marotz, Rebecca Molinsky, Cameron Martino, Bruno Bohn, Sumith Roy, Michael Rosenbaum, Moïse Desvarieux, Melana Yuzefpolskaya, Bruce J. Paster, David R. Jacobs, Paolo C. Colombo, Panos N. Papapanou, Rob Knight, Ryan T. Demmer

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Periodontitis affects up to 50% of individuals worldwide, and 8.5% are diagnosed with diabetes. The high-comorbidity rate of these diseases may suggest, at least in part, a shared etiology and pathophysiology. Changes in oral microbial communities have been documented in the context of severe periodontitis and diabetes, both independently and together. However, much less is known about the early oral microbial markers of these diseases. We used a subset of the ORIGINS project dataset, which collected detailed periodontal and cardiometabolic information from 787 healthy individuals, to identify early microbial markers of periodontitis and its association with markers of cardiometabolic health. Using state-of-the-art compositional data analysis tools, we identified the log-ratio of Treponema to Corynebacterium bacteria to be a novel Microbial Indicator of Periodontitis (MIP), and found that this MIP correlates with poor periodontal health and cardiometabolic markers early in disease pathogenesis in both subgingival plaque and saliva.

Original languageEnglish (US)
Article number30
JournalNPJ biofilms and microbiomes
Volume8
Issue number1
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
This research was supported by NIH grants R00 DE018739, R21 DE022422, and R01 DK 102932 (to R.T.D). R.T.D also received funding from a Calderone Research Award, Mailman School of Public Health, and a Pilot & Feasibility Award from the Diabetes and Endocrinology Research Center, College of Physicians and Surgeons (DK-63608). This publication was also supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant Number UL1TR001873. Clarisse Marotz was funded by NIDCR NRSA F31 Fellowship 1F31DE028478-01. Rebecca Molinsky was supported by institutional training grant T32HL007779 from the National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Publisher Copyright:
© 2022, The Author(s).

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

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