: Cardiovascular diseases stand as the leading global cause of mortality. Major modifiable risk factors encompass overweight/obese conditions, high blood pressure, elevated LDL cholesterol, diabetes, smoking, secondhand smoke exposure, unhealthy diet, and physical inactivity. In the present study, we explored the relationship between cardiovascular risk factors and epigenetic age (DNAm age), an estimate reflecting an individual's actual physiological functionality and overall health. Additionally, we assessed the association between DNAm age acceleration and cardiovascular risk, as evaluated through the Framingham risk score (FRS). : The study includes 190 subjects with overweight/obese conditions. We calculated their DNAm age using Zbieć-Piekarska et al.'s DNAm age estimator on five sets of CpGs analyzed in the peripheral leucocytes. Linear regression models were employed to test the associations. : Various parameters contributing to increased cardiovascular risk were associated with DNAm age acceleration, such as systolic blood pressure (β = 0.045; SE = 0.019; = 0.019), heart rate (β = 0.096; SE = 0.032; = 0.003), blood glucose (β = 0.025; SE = 0.012; = 0.030), glycated hemoglobin (β = 0.105; SE = 0.042; = 0.013), diabetes (β = 2.247; SE = 0.841; = 0.008), and menopausal conditions (β = 2.942; SE = 1.207; = 0.016), as well as neutrophil (β = 0.100; SE = 0.042; = 0.018) and granulocyte (β = 0.095; SE = 0.044; = 0.033) counts. Moreover, DNAm age acceleration raised the FRS (∆% 5.3%, 95% CI 0.8; 9.9, = 0.019). : For the first time, we report that cardiovascular risk factors accelerated DNAm age in a selected population of hypersusceptible individuals with overweight or obesity. Our results highlight the potential of DNAm age acceleration as a biomarker of cumulative effects in cardiovascular risk assessment.
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http://dx.doi.org/10.3390/biomedicines12081631 | DOI Listing |
Aging (Albany NY)
January 2025
Department of Public Health Sciences, University of Chicago, Chicago, IL 60615, USA.
Background: DNA methylation (DNAm) data from human samples has been leveraged to develop "epigenetic clock" algorithms that predict age and other aging-related phenotypes. Some DNAm clocks were trained using DNAm obtained from blood cells, while other clocks were trained using data from diverse tissue/cell types. To assess how DNAm clocks perform across non-blood tissue types, we applied DNAm algorithms to DNAm data generated from 9 different human tissue types.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: In AD, neurofibrillary tangles (NFTs) develop earliest in the limbic system before spreading to neocortical areas. When accounting for covariates of AD pathology, such as age and APOE, there remains interindividual variation in NFT spread in the brain. We therefore used a machine-learning approach to investigate whether age-independent DNA methylation (DNAm) changes in brain associate with histopathological differences in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Alzheimer's disease (AD) is characterized by neocortical dissemination of neurofibrillary tangles (NFTs) while primary age-related tauopathy (PART) has NFTs largely confined to the hippocampus and adjacent structures. Thus, PART and AD represent two extremes of a spectrum of NFT spread. We investigated epigenetic mechanisms of interindividual variation in NFT spread.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Alzheimer's disease (AD) is a common neurodegenerative disorder with a significant impact on aging populations. DNA methylation (DNAm) alterations have been implicated in both the aging processes and the development of AD. Given that AD affects more women than men, it is also important to explore DNAm changes that occur in each sex.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: DNA methylation (DNAm) age measures, or 'epigenetic clocks', surpass chronological age in their ability to predict age-related morbidities and mortality. The Louisville Twin Study (LTS) presents an opportunity to clarify the role of early life environmental exposures and development in biological and cognitive aging in midlife. We expect that second-generation DNAm age measures trained to predict age related outcomes and death, independent of chronological age, will be sensitive to cognitive ability in midlife.
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