Impairment of the arteries is a product of sustained exposure to various deleterious factors and progresses with time; a phenomenon inherent to vascular aging. Oxidative stress, inflammation, the accumulation of harmful agents in high cardiovascular risk conditions, changes to the extracellular matrix, and/or alterations of the epigenetic modification of molecules, are all vital pathophysiological processes proven to contribute to vascular aging, and also lead to changes in levels of associated circulating molecules. Many of these molecules are consequently recognized as markers of vascular impairment and accelerated vascular aging in clinical and research settings, however, for these molecules to be classified as biomarkers of vascular aging, further criteria must be met. In this paper, we conducted a scoping literature review identifying thirty of the most important, and eight less important, biomarkers of vascular aging. Herein, we overview a selection of the most important molecules connected with the above-mentioned pathological conditions and study their usefulness as circulating biomarkers of vascular aging.
Summary
Cardiovascular diseases are the main cause of premature death worldwide. More than half of deaths were caused by cardiovascular diseases in 2017 in Lithuania. Primary prevention programmes encourage both medical staff and general population to pay attention to potential health issues as well as attempt to eradicate risk factors causing cardiovascular diseases. “A Funding Programme for the Screening and Preventive Management of the High Cardiovascular Risk Individuals” published in Lithuania has been implemented as of 2006.
Analysis of the results of the programme shows that the prevalent cases of arterial hypertension are gradually declining. However, the prevalence of dyslipidaemia is still not decreasing. The prevalence of other modifiable cardiovascular disease risk factors has erratic trends with a slight overall decline. Consequently, mortality rate of cardiovascular diseases has decreased by more than one third among middle-age population over the past 10 years.
Having higher availability of the anti-hypertensive and anti-lipid medications already achieved, the future plans include the aim of further reducing elevated blood pressure and effectively treating dyslipidaemia. In order to implement a strategy that focuses on smoking prevention, promotion of healthy nutrition and physical activity, a significant contribution is required from the state authorities.
Non‐invasive ultrasound (US) imaging enables the assessment of the properties of superficial blood vessels. Various modes can be used for vascular characteristics analysis, ranging from radiofrequency (RF) data, Doppler‐ and standard B/M‐mode imaging, to more recent ultra‐high frequency and ultrafast techniques. The aim of the present work was to provide an overview of the current state‐of‐the‐art non‐invasive US technologies and corresponding vascular ageing characteristics from a technological perspective. Following an introduction about the basic concepts of the US technique, the characteristics considered in this review are clustered into: 1) vessel wall structure; 2) dynamic elastic properties, and 3) reactive vessel properties. The overview shows that ultrasound is a versatile, non‐invasive, and safe imaging technique that can be adopted for obtaining information about function, structure, and reactivity in superficial arteries. The most suitable setting for a specific application must be selected according to spatial and temporal resolution requirements. The usefulness of standardization in the validation process and performance metric adoption emerges. Computer‐based techniques should always be preferred to manual measures, as long as the algorithms and learning procedures are transparent and well described, and the performance leads to better results. Identification of a minimal clinically important difference is a crucial point for drawing conclusions regarding robustness of the techniques and for the translation into practice of any biomarker.
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