Publications by authors named "A N Ryabikov"
Background: Noninvasive assessment of elevated filling pressure in the left ventricle (LV) remains an unresolved problem. Of the many echocardiographic parameters used to evaluate diastolic pressure, the left atrial strain and strain rate (LA S/SR) have shown promise in clinical settings. However, only a few previous studies have evaluated LA S/SR in larger populations.
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- The study explores the link between epigenetic age acceleration (EAA) from DNA methylation and the risk of developing colorectal cancer (CRC) using data from 9,360 participants over 16 years.
- Four measures of EAA (Horvath, Hannum, PhenoAge, and BLUP) were positively associated with increased CRC risk, with odds ratios significantly above 1 for each decile increase.
- Two other EAA measures (Skin and Blood, and Elastic Net) showed a negative or minimal association with CRC risk, indicating the need for further research to understand these relationships better.
We explored the relationship between the copy number of mitochondrial DNA (mtDNA-CN) and all-cause natural mortality. We examined a random population sample in 2003/2005 ( = 9360, men/women, 45-69, the HAPIEE project) and followed up for 15 years. Using a nested case-control design, we selected non-external deaths among those free from baseline cardiovascular diseases (CVD) and cancer ( = 371), and a sex- and age-stratified control ( = 785).
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- Left ventricular (LV) function is crucial in assessing cardiovascular risks for hypertensive patients, yet detailed data on their strain and diastolic strain rates are lacking.
- This study analyzed 2D strain imaging in over 2,200 participants from Russia and Norway, classifying them into groups based on blood pressure levels to compare their LV systolic and diastolic functions.
- Findings indicated that higher blood pressure correlates with diminished strain and strain rates, particularly noting significant differences in relaxation markers (SR E) among hypertensive individuals compared to healthy controls.
We evaluated associations between nine epigenetic age acceleration (EAA) scores and 18 cardiometabolic phenotypes using an Eastern European ageing population cohort richly annotated for a diverse set of phenotypes (subsample, = 306; aged 45-69 years). This was implemented by splitting the data into groups with positive and negative EAAs. We observed strong association between all EAA scores and sex, suggesting that any analysis of EAAs should be adjusted by sex.
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