Abstract
Introduction
Chronological age is a well-known risk factor of cardiovascular diseases (CVD). In comparison with chronological age, biological arterial age can determine person's individual pace of aging, while difference between biological and chronological arterial age (delta age) can be rated as accelerated or decelerated artery aging.
Purpose
The aim of this study was to assess the association of risk factors of CVD with accelerated and decelerated arterial aging in almost healthy people.
Methods
We investigated systolic blood pressure (SBP), blood chemistry (total cholesterol (TC), low- (LDL) and high-density (HDL) lipoproteins, triglycerides (TG), apolipoprotein B (ApoB), fasting glucose (FG), glycated hemoglobin (HbA1c), serum renin levels) and urinary albumine, carotid ultrasonography (presence of atherosclerotic plaques and carotid intima-media thickness), arterial stiffness (AS) and leucocyte telomere length (LTL) in 143 adults (mean age 50.31±12.98 years, 35% male, 29% have hypertension, 15% - type 2 diabetes mellitus (T2DM)). LTL was measured by real-time polymerase chain reaction. AS was measured by pulse wave velocity and augmentation index with applanation tonometry using SphygmoCor device (AtCor, Australia). Biological artery age was estimated according to the age-predicting models, based on arterial wall parameters (A. Fedintsev et al, 2017). All the subjects were divided into groups of “old” and “young” arteries according to the positive or negative delta age – difference between biological and chronological age. The data were analyzed using multivariate logistic and linear regression analysis.
Results
The main statistically significant results are shown in the table.
Arterial pace of aging is closely associated with chronological age, hypertension and glucose metabolism. There were not found any associations of arterial pace of aging with lipid, renin levels, urinary albumin and LTL.
Conclusion
Hypertension, carbohydrate metabolism are main therapeutic targets for accelerated arterial aging and CVD prevention.
FUNDunding Acknowledgement
Type of funding sources: None. Results of regression analysis