Research Paper Volume 9, Issue 4 pp 1280—1292
Markers of arterial health could serve as accurate non-invasive predictors of human biological and chronological age
- 1 Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow 119991, Russia
- 2 The Russian Clinical Research Center for Gerontology, Moscow 192226, Russia
- 3 Lomonosov Moscow State University Medical Center, National Center for Preventive Medicine, Moscow 119234, Russia
- 4 Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141700, Russia
- 5 School of Systems Biology, George Mason University (GMU), Fairfax, VA 22030, USA
- 6 Federal State Budgetary Institution “Research Centre for Medical Genetics”, Moscow 115478, Russia
- 7 Atlas Biomed Group, Moscow 121069, Russia
- 8 Institute of Biology, Komi Science Center of RAS, Syktyvkar 167982, Russia
received: February 21, 2017 ; accepted: April 17, 2017 ; published: April 28, 2017 ;https://doi.org/10.18632/aging.101227
How to Cite
The decline in functional capacity is unavoidable consequence of the process of aging. While many anti-aging interventions have been proposed, clinical investigations into anti-aging medicine are limited by lack of reliable techniques for evaluating the rate of ageing. Here we present simple, accurate and cost-efficient techniques for estimation of human biological age, Male and Female Arterial Indices. We started with developing a model which accurately predicts chronological age. Using machine learning, we arrived on a set of four predictors, all of which reflect the functioning of the cardiovascular system. In Arterial Indices models, results of carotid artery duplex scan that show the thickness of the intima media complex and quantitatively describe the degree of stenosis are combined with pulse wave velocity and augmentation index measurements performed by applanation tonometry. In our cohort, the age of men was determined with MAE = 6.91 years (adjusted R-squared = 0.55), and the age of women with MAE = 5.87 years (adjusted R2 = 0.69). The Epsilon-accuracies of age-predicting models were at 86.5% and 80% for women and men, respectively. Substantially higher differences between the predicted age and the calendar age were noted for patients with Type 2 Diabetes Mellitus (T2D) as compared to non-T2D controls, indicating that the model could serve as a good approximation for an elusive biological age. Notably, in females with chronological and biological ages mismatching by 5 or more years, significant increases in in Framingham CVD scores and lower levels of IGF-1 were observed.
Proposed Male and Female Arterial Indices derive biological age from the results of functional tests which do not require specialized laboratory equipment and, therefore, could be performed in hospitals and community health clinics.