Healthy lifestyle, DNA methylation age acceleration, and incident risk of coronary heart disease

Abstract

Background DNA methylation clocks emerged as a tool to determine biological aging and have been related to mortality and age-related diseases. Little is known about the association of DNA methylation age (DNAm age) with coronary heart disease (CHD), especially in the Asian population. Results Methylation level of baseline blood leukocyte DNA was measured by Infinium Methylation EPIC BeadChip for 491 incident CHD cases and 489 controls in the prospective China Kadoorie Biobank. We calculated the methylation age using a prediction model developed among Chinese. The correlation between chronological age and DNAm age was 0.90. DNA methylation age acceleration (Δage) was defined as the residual of regressing DNA methylation age on the chronological age. After adjustment for multiple risk factors of CHD and cell type proportion, compared with participants in the bottom quartile of Δage, the OR (95% CI) for CHD was 1.84 (1.17, 2.89) for participants in the top quartile. One SD increment in Δage was associated with 30% increased risk of CHD (OR = 1.30; 95% CI 1.09, 1.56; Ptrend = 0.003). The average number of cigarette equivalents consumed per day and waist-to-hip ratio were positively associated with Δage; red meat consumption was negatively associated with Δage, characterized by accelerated aging in those who never or rarely consumed red meat (all P < 0.05). Further mediation analysis revealed that 10%, 5% and 18% of the CHD risk related to smoking, waist-to-hip ratio and never or rarely red meat consumption was mediated through methylation aging, respectively (all P for mediation effect < 0.05). Conclusions We first identified the association between DNAm age acceleration and incident CHD in the Asian population, and provided evidence that unfavorable lifestyle-induced epigenetic aging may play an important part in the underlying pathway to CHD.

Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study

“…In physiology, aging is an irreversible process characterized by a gradual decline in physiological functions ( 31 ). The risk of CHD escalates significantly with advancing age ( 32 ). Therefore, the early diagnosis and treatment of chronic diseases such as CHD are crucial, necessitating the development of strategies to prevent coronary heart disease at an early stage and enhance the quality of life among middle-aged and elderly individuals.…”

“…In physiology, aging is an irreversible process characterized by a gradual decline in physiological functions (31). The risk of CHD escalates significantly with advancing age (32). Therefore, the early diagnosis and treatment of chronic diseases such as CHD are crucial, necessitating the development of strategies to prevent coronary Despite notable advancements in reducing the burden of cardiovascular disease within the general population of the United States, persistent racial and ethnic disparities in cardiovascular disease mortality remain evident.…”

Epigenetics of hypertension as a risk factor for the development of coronary artery disease in type 2 diabetes mellitus

“…As a consequence, peripheral blood commonly serves as the preferred material for extensive human cohort studies. Nevertheless, the progression of the disease and its severity can influence the bio-metabolic processes governing DNA methylation, resulting in altered methylation patterns across different sample types ( 25 ). Some studies, such as the work by Kato et al., propose that blood and various tissues manifest analogous methylation patterns, suggesting that DNA methylation markers identified in blood mononuclear cells can serve as proxies for methylation profiles in other tissues ( 26 ).…”

The Role of Selected Epigenetic Pathways in Cardiovascular Diseases as a Potential Therapeutic Target

“…It has now become clear that chromatin epigenetic markers are dynamically regulated in response to environmental cues [ 8 , 9 , 10 ]. This has led to a shift in the use of epigenetics to account for transient changes in chromatin in response to external stimuli that control gene expression [ 11 , 12 , 13 , 14 , 15 ]. Epigenetic pathways can be divided into three main categories: DNA methylation, histone modifications, and non-coding RNAs [ 16 ].…”