Skip to main content
SpringerLink
Log in

The Rate of Aging and Its Association with Risk Factors of Cardiovascular Diseases

  • RESEARCH ARTICLES
  • Published:
Advances in Gerontology Aims and scope Submit manuscript

Abstract

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: The increased biological age of the arteries compared to the chronological age was associated with the 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 hemoglobin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  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, vol. 390, no. 10100, pp. 1211–1259. https://doi.org/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, vol. 1, no. 3, pp. 295–308. https://doi.org/10.1038/s43587-021-00044-4

    Article  PubMed  PubMed Central  Google Scholar 

  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, vol. 68, no. 6, pp. 667–674. https://doi.org/10.1093/gerona/gls233

    Article  PubMed  Google Scholar 

  4. Unnikrishnan, A., Freeman, W.M., Jackson, J., Wren, J.D., Porter, H., and Richardson, A., The role of DNA methylation in epigenetics of aging. Pharmacol. Ther., 2021, vol. 195, pp. 172–185. https://doi.org/10.1016/j.pharmthera.2018.11.001

    Article  CAS  Google Scholar 

  5. Ren, X. and Kuan, P.F., RNAAgeCalc: A multi-tissue transcriptional age calculator, PLoS One, 2020, vol. 15, no. 8, p. e0237006. https://doi.org/10.1371/journal.pone.0237006

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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, 2016, vol. 8, no. 5, pp. 1021–1030. https://doi.org/10.18632/aging.100968

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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, vol. 69, no. 7, pp. 779–789. https://doi.org/10.1093/gerona/glt190

    Article  CAS  PubMed  Google Scholar 

  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, 2017, vol. 9, no. 4, pp. 1280–1292. https://doi.org/10.18632/aging.101227

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Urtamo, A., Jyväkorpi, S.K., Kautiainen, H., Pitkälä, K.H., and Strandberg, T.E., Major cardiovascular disease (CVD) risk factors in midlife and extreme longevity, Aging Clin. Exp. Res., 2020, vol. 32, no. 2, pp. 299–304. https://doi.org/10.1007/s40520-019-01364-7

    Article  PubMed  Google Scholar 

  10. Herrmann, M., Pusceddu, I., März, W., and Herrmann, W., Telomere biology and age-related diseases, Clin. Chem. Lab. Med., 2018, vol. 56, no. 8, pp. 1210–1222. https://doi.org/10.1515/cclm-2017-087

    Article  CAS  PubMed  Google Scholar 

  11. Crocco, P., De Rango, F., Dato, S., Rose, G., and Passarino, G., Telomere length as a function of age at population level parallels human survival curves, Aging, 2021, vol. 13, no. 1, pp. 204–218. https://doi.org/10.18632/aging.202498

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Cawthon, R.M., Telomere measurement by quantitative PCR, Nucleic Acids Res., 2002, vol. 30, no. 10, p. e47.

    Article  PubMed  PubMed Central  Google Scholar 

  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, Clin. Epigenetics, 2020, vol. 12, no. 115. https://doi.org/10.1186/s13148-020-00905-6

  14. Nilsson, P.M., Early vascular aging in hypertension, Front. Cardiovasc. Med., 2020, vol. 7, no. 6. https://doi.org/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, Pediatr. Cardiol., 2017, vol. 38, no. 4, pp. 840–852. https://doi.org/10.1007/s00246-017-1591-z

    Article  CAS  PubMed  Google Scholar 

  16. Mutambudzi, M., Díaz-Venegas, C., and Menon, S., Association between baseline glycemic markers (HbA1c) and 8-year trajectories of functional disability, J. Gerontol. A Biol. Sci. Med. Sci., 2019, vol. 74, no. 11, pp. 1828–1834. https://doi.org/10.1093/gerona/glz089

    Article  PubMed  Google Scholar 

  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, J. Am. Geriatr. Soc., 2020, vol. 68, no. 5, pp. 991–998. https://doi.org/10.1111/jgs.16321

    Article  PubMed  PubMed Central  Google Scholar 

  18. Ong, A.L.C. and Ramasamy, T.S., Role of Sirtuin1-p53 regulatory axis in aging, cancer and cellular reprogramming, Ageing Res. Rev., 2018, vol. 43, pp. 64–80. https://doi.org/10.1016/j.arr.2018.02.004

    Article  CAS  PubMed  Google Scholar 

  19. He, S. and Sharpless, N.E., Senescence in health and disease, Cell, 2017, vol. 169, no. 6, pp. 1000–1011. https://doi.org/10.1016/j.cell.2017.05.015

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

The study was funded by the Medical Scientific and Educational Center of the Moscow State University.

Author information

Authors and Affiliations

  1. Medical Scientific and Educational Center of Moscow State University, Moscow, Russia

    A. A. Akopyan, I. D. Strazhesko & I. A. Orlova

  2. Russian Gerontology Research and Clinical Center, Pirogov Russian National Research Medical University, Moscow, Russia

    I. D. Strazhesko & A. A. Moskalev

Authors
  1. A. A. Akopyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. I. D. Strazhesko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. A. Moskalev
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. I. A. Orlova
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Each author’s contribution to the research and preparation of the article is equal. All authors approved the final version of the article before publication.

Corresponding authors

Correspondence to A. A. Akopyan or I. D. Strazhesko.

Ethics declarations

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

The study was approved by the local ethics committee of Medical Scientific and Educational Center of the Moscow State University (protocol No. 5 as of September 10, 2018).

Informed consent was obtained from all individual participants involved in the study.

CONFLICT OF INTEREST

The authors of the work declare that they have no conflicts of interest.

Additional information

Translated by L. Solovyova

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Akopyan, A.A., Strazhesko, I.D., Moskalev, A.A. et al. The Rate of Aging and Its Association with Risk Factors of Cardiovascular Diseases. Adv Gerontol 13, 148–155 (2023). https://doi.org/10.1134/S2079057024600228

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S2079057024600228

Keywords:

Search

Navigation