The rate of aging and its association with risk factors of cardiovascular diseases

Background. Biological age is a better predictor of morbidity and mortality associated with chronic age-related diseases than chronological age. The estimated difference between biological and chronological age can reveal an individual’s rate of aging.
Aim. The aim of this study was to assess the association of cardiovascular risk factors with the rate of aging in people without cardiovascular diseases. Materials and methods. We calculated biological artery age and found associations of “old” arteries and rate of aging with risk factors of cardiovascular diseases in 143 adults without cardiovascular diseases. The data were analyzed by their categorization into 3 tertiles using regression methods.
Results. “Old” arteries were associated with chronological age (p < 0,001; ОR = 0,55; 95% CI: 0,43 — 0,71) and hypertension (p = 0,002; ОR = 6,04; 95% CI: 1,98 — 18,42) in general group, age (p < 0,001; ОR = 0,45; 95% CI: 0,30 — 0,68), hypertension (p = 0,004; ОR = 12,79; 95% CI: 2,25 — 72,55) and family history of oncology (p = 0,036; ОR = 0,14; 95% CI: 0,02 — 0,88) in women subgroup and age (p = 0,001; ОR = 0,45; 95% CI: 0,28 — 0,76) and 3rd tertile of glycated hemoglobin (p = 0,041; ОR = 65,05; 95% CI: 1,19 — 3548,29) in men subgroup. Difference between biological and chronological age in a group of “old” arteries was associated with chronological age (p = 0,001; β = -1,24; 95% CI: -1,95 — -0,53) and with chronological age (p < 0,001; β = 1,71; 95% CI: 1,06 — 2,36) and 3rd tertile of glycated hemoglobin (p = 0,009; β = -4,78; 95% CI: -8,32 — -1,24) in group of “young” arteries.
Conclusion. This study demonstrates that accelerated arterial aging is associated with hypertension and high levels of glycated haemoglobin.

1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017; 390(10100): 1211–1259. — DOI: 10.1016/S0140–6736(17)32154–2

2. Elliott M.L., Caspi A., Houts R.M., Ambler A., Broadbent J.M., Hancox R.J., et al. Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy. Nature Aging. 2021; 1(3): 295–308. — DOI: 10.1038/s43587-021-00044-4

3. Levine M.E. Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age J Gerontol A Biol Sci Med Sci. 2013; 68(6): 667–674. — DOI: 10.1093/gerona/gls233

4. Unnikrishnan A., Freeman W.M., Jackson J., Wren J.D., Porter H., Richardson A. The role of DNA methylation in epigenetics of aging. Pharmacology and Therapeutics. 2021;195: 172–185. — DOI: 10.1016/j.pharmthera.2018.11.001

5. Ren X., Kuan P.F. RNAAgeCalc: A multi-tissue transcriptional age calculator. PLoS ONE. 2020; 15(8):e0237006. — DOI: 10.1371/journal.pone.0237006

6. Putin E., Mamoshina P., Aliper A., Korzinkin M., Moskalev A., Kolosov A., et al. Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging (Albany NY). 2016;8(5): 1021–1030. — DOI: 10.18632/aging.100968

7. Krištić J., Vučković F., Menni C., Klarić L., Keser T., Beceheli I., et al. Glycans are a novel biomarker of chronological and biological ages. J Gerontol A Biol Sci Med Sci. 2014; 69(7): 779–789. — DOI: 10.1093/gerona/glt190

8. Fedintsev A., Kashtanova D., Tkacheva O., Strazhesko I., Kudryavtseva A., Baranova A., et al. Markers of arterial health could serve as accurate non-invasive predictors of human biological and chronological age. Aging (Albany NY). 2017; 9(4): 1280–1292. — DOI: 10.18632/aging.101227

9. Urtamo A., Jyväkorpi S.K., Kautiainen H., Pitkälä K.H., Strandberg T.E. Major cardiovascular disease (CVD) risk factors in midlife and extreme longevity. Aging Clinical and Experimental Research. 2020; 32(2): 299–304. — DOI: 10.1007/s40520-019- 01364-7

10. Herrmann M., Pusceddu I., März W., Herrmann, W. Telomere biology and age-related diseases. Clinical Chemistry and Laboratory Medicine. 2018; 56(8): 1210–1222. — DOI: 10.1515/cclm-2017-087

11. Crocco P., De Rango F., Dato S., Rose G., Passarino G. Telomere length as a function of age at population level parallels human survival curves. Aging (Albany NY). 2021; 13(1): 204–218. — DOI: 10.18632/aging.202498

12. Cawthon R. M. Telomere measurement by quantitative PCR. Nucleic Acids Research. 2002; 30(10): e47. PMID: 12000852; PMCID: PMC115301

13. Hillary R. F., Stevenson A.J., McCartney D.L., Campbell A., Walker R.M., Howard D.M., et al. Epigenetic measures of ageing predict the prevalence and incidence of leading causes of death and disease burden. Clinical Epigenetics. 2020; 12(115). — DOI: 10.1186/s13148-020-00905-6

14. Nilsson P.M. Early Vascular Aging in Hypertension. Frontiers in Cardiovascular Medicine. 2020; 7:6. — DOI: 10.3389/fcvm.2020.00006

15. Curcio S., García-Espinosa V., Castro J.M., Peluso G., Marotta M., Arana M., et al. High Blood Pressure States in Children, Adolescents, and Young Adults Associate Accelerated Vascular Aging, with a Higher Impact in Females’ Arterial Properties. Pediatric Cardiology. 2017; 38(4): 840–852. — DOI: 10.1007/s00246–017–1591-z

16. Mutambudzi M., Díaz-Venegas C., Menon, S. Association Between Baseline Glycemic Markers (HbA1c) and 8-Year Trajectories of Functional Disability. J Gerontol A Biol Sci Med Sci. 2019; 74(11): 1828–1834. — DOI: 10.1093/gerona/glz089

17. Ganguli M., Beer J. C., Zmuda J. M., Ryan C. M., Sullivan K. J., Chang C.-C. H., et al. Aging, Diabetes, Obesity, and Cognitive Decline: A Population-Based Study. Journal of the American Geriatrics Society. 2020; 68(5): 991–998. — DOI: 10.1111/jgs.16321

18. Ong A. L. C., Ramasamy, T. S. Role of Sirtuin1-p53 regulatory axis in aging, cancer and cellular reprogramming. Ageing Research Reviews. 2018; 43: 64–80. — DOI: 10.1016/j.arr.2018.02.004

19. He S., Sharpless N. E. Senescence in Health and Disease. Cell. 2017; 169(6): 1000–1011. — DOI: 10.1016/j.cell.2017.05.015