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Saliva, Plasma, and Multifluid Metabolomic Signatures of Periodontal Disease, Type 2 Diabetes Progression, and Markers of Glycemia and Dyslipidemia Among Puerto Rican Adults With Overweight and Obesity.
- Source :
-
Journal of the American Heart Association [J Am Heart Assoc] 2024 Aug 06; Vol. 13 (15), pp. e033350. Date of Electronic Publication: 2024 Jul 18. - Publication Year :
- 2024
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Abstract
- Background: Evidence from cohort studies indicates a bidirectional relationship between periodontal disease and type 2 diabetes (T2D), but the underlying mechanisms remain unknown. In this study, we aimed to (1) identify saliva, plasma, and multifluid metabolomic signatures associated with periodontal disease and (2) determine if these signatures predict T2D progression and cardiometabolic biomarkers at year 3.<br />Methods and Results: We included participants from the SOALS (San Juan Overweight Adult Longitudinal Study) (n=911). Metabolites from saliva (k=635) and plasma (k=1051) were quantified using liquid chromatography-mass spectrometry. We applied elastic net regression with 10-fold cross-validation to identify baseline metabolomic signatures of periodontal disease. Multivariable Cox proportional hazards regression and linear regression were used to evaluate the association with T2D progression and biomarker concentrations. Metabolomic profiles included highly weighted metabolites related to lysine and pyrimidine metabolism. Periodontal disease or its 3 metabolomic signatures were not associated with T2D progression in 3 years. Prospectively, 1-SD increments in the multifluid and saliva metabolomic signatures were associated with higher low-density lipoprotein (multifluid: 12.9±5.70, P =0.02; saliva: 13.3±5.11, P =0.009). A 1-SD increment in the plasma metabolomic signature was also associated with Homeostatic Model Assessment for Insulin Resistance (2.67±1.14, P =0.02) and triglyceride (0.52±0.18, P =0.002).<br />Conclusions: Although metabolomic signatures of periodontal disease could not predict T2D progression, they were associated with low-density lipoprotein, triglyceride, and Homeostatic Model Assessment for Insulin Resistance levels at year 3.
- Subjects :
- Humans
Male
Female
Middle Aged
Overweight blood
Overweight metabolism
Overweight complications
Blood Glucose metabolism
Blood Glucose analysis
Adult
Hispanic or Latino
Longitudinal Studies
Aged
Prospective Studies
Saliva metabolism
Saliva chemistry
Diabetes Mellitus, Type 2 blood
Diabetes Mellitus, Type 2 metabolism
Diabetes Mellitus, Type 2 diagnosis
Dyslipidemias blood
Dyslipidemias epidemiology
Dyslipidemias metabolism
Dyslipidemias diagnosis
Disease Progression
Biomarkers blood
Periodontal Diseases blood
Periodontal Diseases metabolism
Periodontal Diseases diagnosis
Periodontal Diseases epidemiology
Metabolomics methods
Obesity blood
Obesity metabolism
Obesity complications
Subjects
Details
- Language :
- English
- ISSN :
- 2047-9980
- Volume :
- 13
- Issue :
- 15
- Database :
- MEDLINE
- Journal :
- Journal of the American Heart Association
- Publication Type :
- Academic Journal
- Accession number :
- 39023061
- Full Text :
- https://doi.org/10.1161/JAHA.123.033350