Oral Disease and Atherosclerosis May Be Associated with Overlapping Metabolic Pathways.

dental caries lipids metabolomics periodontal disease subclinical ASCVD

Journal

JDR clinical and translational research
ISSN: 2380-0852
Titre abrégé: JDR Clin Trans Res
Pays: United States
ID NLM: 101684997

Informations de publication

Date de publication:
09 Oct 2024
Historique:
medline: 10 10 2024
pubmed: 10 10 2024
entrez: 10 10 2024
Statut: aheadofprint

Résumé

Dental caries and periodontitis are among the most prevalent chronic diseases worldwide and have been associated with atherosclerotic cardiovascular diseases (ASCVD). This study aimed to determine (1) the independent associations between subclinical ASCVD markers (carotid intima media thickness [CIMT] and coronary artery calcification [CAC]) and quantitative indices of oral disease including the decayed, missing, and filled teeth (DMFT) index, gingivitis parameters, periodontal status, and number of teeth lost and (2) the extent to which metabolites altered in individuals with oral disease overlapped with those altered in individuals with ASCVD. We used data from 552 participants recruited through the Dental Strategies Concentrating on Risk Evaluation project. Oral examinations were conducted, and CIMT and CAC were measured. Multiple linear regression models were constructed with CIMT and CAC as dependent variables in the epidemiologic analysis. In the metabolomic analysis, logistic or linear regression was used to test 1,228 metabolites for association with each phenotype adjusted for age, sex, race, blood pressure, smoking, diabetes, cholesterol, high-sensitivity C-reactive protein, and interleukin-6. None of the oral disease markers were significant predictors of ASCVD markers in the fully adjusted models. However, critical lipid and lipid-signaling pathway metabolites were significantly associated with gingivitis, periodontitis, and DMFT: the lysophospholipid pathway (odds ratio [OR] = 2.29, false discovery rate [FDR]-adjusted The discovery of a common sphingomyelin metabolite in both disease processes is a novel finding suggesting that gingivitis and periodontitis may be associated with some overlapping metabolic pathways associated with ASCVD and indicating potential shared mechanisms among these diseases. The same metabolites may be altered in atherosclerosis and oral disease. Specifically, a common sphingomyelin metabolite was inversely associated with gingivitis and carotid intima media thickness, a subclinical marker of atherosclerotic cardiovascular disease. These findings can provide valuable insights for future mechanistic studies to establish potential causal relationships, with the hope of influencing disease prevention and targeted early treatment.

Identifiants

pubmed: 39385367
doi: 10.1177/23800844241280383
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

23800844241280383

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

M Bezamat (M)

Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

A Saeed (A)

Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

C McKennan (C)

Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA.

J Duan (J)

Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA.

R Zhou (R)

Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics (I2BD), Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.

D J Baxter (DJ)

Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

L Liu (L)

Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics (I2BD), Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.

L de Las Fuentes (L)

Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics (I2BD), Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.
Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, USA.

B Foxman (B)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.

J R Shaffer (JR)

Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.

D W McNeil (DW)

Department of Community Dentistry and Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, USA.

M L Marazita (ML)

Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Clinical and Translational Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

S E Reis (SE)

Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Clinical and Translational Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Classifications MeSH