Method for determining the biological age of arteries
Determining the biological age of the human arteries is relevant for timely stratification of the risk of developing diseases, prevention, control of individual ageing rate, and geroprotective therapy. To study age-related changes in the echocardiographic examination of the arteries and to develop a formula for estimating the biological age of the human arteries.
Echocardiographic examinations of the heart were performed on 188 practically healthy people aged 30 to 79 years (73 men and 115 women), who signed informed consent and had no clinically significant diseases in the anamnesis or at the moment. The study of the carotid and vertebral arteries of the neck was performed on the Xario SSA-660A device from Toshiba (Japan) according to the standard method using a PLT-704SBT 7.5 MHz probe.
Based on the data of the study by the method of step-by-step multiple linear regressions, a formula for estimating the biological age of the human arteries was obtained. The multiple correlation coefficient after error correction was a fairly high value of R=0.894 (p˂0.00001). The mean absolute error of age calculation (M±Ϭ) is 5.11±3.51 years.
The proposed formula for determining the biological age of the arteries can be used for the early diagnosis of accelerated ageing.
Buljan, K.; Butkovic-Soldo, B.; Janculjak, D., et al. Relationship between age and thickness of carotid arteries in a population without risk factors for atherosclerosis. Coll Antr 2015, 39, 3, 779-784. URL: https://hrcak.srce.hr/166380
Cermakova, P.; Ding, J.; Meirelles, O.; Reis, J.; et al. Carotid Intima–Media Thickness and Markers of Brain Health in a Biracial Middle-Aged Cohort: CARDIA Brain MRI Sub-study. The Journals of Gerontology 2020, 75, 2, 380–386. https://doi.org/10.1093/gerona/glz039
Chirinos, J. A. Ventricular–arterial coupling: invasive and non-invasive assessment. Artery research 2013, 7, 2-14. https://doi.org/10.1016/j.artres.2012.12.0021
Danmei, He; Lan, Gao; Ying, Yang; Jia, Jia; Yimeng, et al. Brachial‐ankle pulse wave velocity as a measurement for increased carotid intima‐media thickness: A comparison with carotid‐femoral pulse wave velocity in a Chinese community‐based cohort. The Journal of Clinical Hypertension 2022, 24, 4, 409-417. https://doi.org/10.1111/jch.14448
Hamczyk, M; Nevado, R; Barettino, A., et al. Biological Versus Chronological Aging. J Am Coll Cardiol 2020, 75, 8, 919–930. https//doi.org/10.1016/j.jacc.2019.11.062
Jia, L.; Zhang, W.; Chen, X. Common methods of biological age estimation. Clin Interv Aging 2017, 12, 759–772. https://doi.org/10.2147/CIA.S134921
Maillard, P.; Mitchell, G.F.; Himali, J.J., et al. Effects of arterial stiffness on brain integrity in young adults from the Framingham. Heart study. Stroke 2016, 47, 1030–1036. https://doi:10.1161/strokeaha.116.012949
Mamoshina, P.; Kochetov, K.; Putin, E.; Cortese, F.; Aliper, A.; Lee, W.S. et al. Population-specific biomarkers of human ageing: a big data study using South Korean, Canadian and Eastern European patient populations. J Gerontol Ser A 2018, 1, 1–9. https://doi.org/10.1093/gerona/gly005
Murabito, J.M.; Zhao, Q.; Larson, M.G.; Rong, J.; Lin, H.; Benjamin, E.J. et al. Measures of biologic age in a community sample predict mortality and age-related disease: the Framingham offspring study. J Gerontol Ser A Biol Sci Med Sci 2018, 73, 757–762. https://doi.org/10.1093/gerona/glx144
Na, Wu; Haibin, Lv. Observation of the Clinical Correlation between Carotid Artery Intima-Media Thickness and Cardiovascular Risk Factors in Hypertensive Patients under Microscope Images. Journal of Sensors 2021, 1-14. https://doi.org/10.1155/2021/8919824
Nilsson, P.; Boutouyrie, P.; Laurent, S. Vascular aging a tale of EVA and ADAM in cardiovascular risk assessment and prevention. Hypertension 2009, 54, 3-10. https://doi:10.1161/hypertensionaha. 109.129114
Nilsson, P. M. Early vascular aging (EVA): consequences and prevention. Vasc Health Risk Manag 2008 ,4, 547-52. https://doi.org/10.2147/VHRM.S1094
Nilsson P.M. Early vascular ageing - a concept in development. European Endocrinology. 2015, 11, 1, 26-31. https://doi:10.17925/EE.2015.1 1.01.26
Sebastiani, P.; Thyagarajan, B.; Sun, F.; Schupf, N.; Newman, A.B.; Montano, M. et al. Biomarker signatures of aging. Aging Cell 2017, 16, 329–338. https://doi.org/10.1111/acel.12557
Pisaruk, A.V. A simple method for correction of the systematic error in calculating biological age by the multiple regression equation. Ageing and longevity 2021, 2, 11-16. https://doi.org/10.47855/jal9020-2021-1-2