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Study reports on inflammatory, metabolic biomarkers and accelerated aging in cardiac catheterization patients
![Correlation between transcriptomic age and other epigenetic aging predictors. Credit: Aging (2024). DOI: 10.18632/aging.205758 Association of inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients](https://cdn.statically.io/img/scx1.b-cdn.net/csz/news/800a/2024/association-of-inflamm.jpg)
A new research paper titled "Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients" has been published in Aging.
Research into aging has grown substantially with the creation of molecular biomarkers of biological age that can be used to determine age acceleration. Concurrently, nuclear magnetic resonance (NMR) assessment of biomarkers of inflammation and metabolism provides researchers with new ways to examine intermediate risk factors for chronic disease.
In this new study, researchers Henry Raab, Elizabeth R. Hauser, Lydia Coulter Kwee, Svati H. Shah, William E. Kraus, and Cavin K. Ward-Caviness from the U.S. Environmental Protection Agency and Duke University used data from a cardiac catheterization cohort to examine associations between biomarkers of cardiometabolic health and accelerated aging assessed using both gene expression (Transcriptomic Age) and DNA methylation (Hannum Age, GrimAge, Horvath Age, and Phenotypic Age).
"This study utilizes the CATHGEN cohort from the Jiang et al. study to investigate associations between multiple epigenetic and transcriptomic aging biomarkers and a broad array of NMR-based measures of inflammation, lipid homeostasis, and diabetes risk," the researchers write.
Linear regression models were used to associate accelerated aging with each outcome (cardiometabolic health biomarkers) while adjusting for chronological age, sex, race, and neighborhood socioeconomic status. Their study shows a robust association between GlycA and GrimAge (5.71, 95% CI = 4.36, 7.05, P = 7.94 × 10−16), Hannum Age (1.81, 95% CI = 0.65, 2.98, P = 2.30 × 10−3), and Phenotypic Age (2.88, 95% CI = 1.91, 3.87, P = 1.21 × 10−8). The researchers also saw inverse associations between apolipoprotein A-1 and aging biomarkers.
"These associations provide insight into the relationship between aging and cardiometabolic health that may be informative for vulnerable populations," the researchers conclude.
More information: Henry Raab et al, Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients, Aging (2024). DOI: 10.18632/aging.205758