Express diagnostics of accelerated human aging using the questionnaire
Abstract
Abstract. An express method of diagnosing accelerated aging of a person has been developed with the help of a questionnaire, which includes 15 indications of somatic aging, 12 indications of psychological aging and 10 objective indicators. The Bayesian method is used for the calculation of biological age. The accuracy of the definition for the biological age was 8.3 years. The method developed is notable for its simplicity, ease and accessibility for use in the outpatient and inpatient conditions. This method can be used for pre-selection of the patients with the risk of accelerated aging for the further in-depth studies.
References
Crowson, C.S.; Therneau, T.M.; Davis J.M.; Roger V.; Matteson, E.; Gabriel, Sh. Brief report: accelerated aging influences cardiovascular disease risk in rheumatoid arthritis. Arthritis Rheum 2013, 65, 10, 2562-2566. doi: 10.1002/art.38071
Lakatta, E.G. So! What's aging? Is cardiovascular aging a disease? J Mol Cell Cardiol 2015, 83. 1–7. doi: 10.1016%2Fj.yjmcc.2015.04.005
Salthouse, T.A. Aging and measures of processing speed. Biol Psychol 2000, 54, 35–54. doi: 10.1016/s0301-0511(00)00052-1
Steffener, J.; Habeck, C.; O'Shea, D; Razlighi, Q.; Bherer, L.; Stern, Ya. Differences between chronological and brain age are related to education and self-reported physical activity. Neurobiology of Aging 2016, 40. doi: 10.1016/j.neurobiolaging.2016.01.014
Cevenini, E.; Invidia, L.; Lescai, F.S.; Salvioli, S.; Tieri, P. et al. Human models of aging and longevity. Expert Opinion on Biological Therapy 2015, 8, 9, 1393–1405. doi: 10.1517/14712598.8.9.1393
Cardoso, A.L.; Fernandes, A.; Aguilar-Pimentel, J.A.; de Angelis, M.H.; J. R. Guedes et al. Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases // Ageing Res Rev. 2018. Nov. 47. 214-277. doi:10.1016/j.arr.2018.07.004
Belsky, D.W.; Caspic, A.; Houtsc, R.; Cohen, H.J.; Corcoran, D.L. et al. Quantification of biological aging in young adults. PNAS 2015, 27. doi: 10.1073/pnas.1506264112
Burkle, A.; Moreno-Villanueva, M.; Bernhard, J.; Blasco, M.; Zondag, G. et al. MARK-AGE biomarkers of ageing. Mechanisms Ageing Dev 2015. doi: 10.1016/j.mad.2015.03.006
Xia, X.; Chen, W.; McDermott, J.; Han, J.-D.J. Molecular and phenotypic biomarkers of aging: Version 1. F1000Res 2017, 6. doi: 10.12688%2Ff1000research.10692.1
Sebastiani, P.; Bae, H.; Sun, F.X.; Andersen, S.L.; Daw, E.W., et al. Metaanalysis of genetic variants associated with human exceptional longevity. Aging (Albany NY) 2013, 5, 9, 653–659. doi: 10.18632/aging.100594
Caballero, F.F.; Soulis, G.; Engchuan, W.; Sanchez-Niubo, A.; Arndt, H. et al. Advanced analytical methodologies for measuring healthy ageing and its determinants, using factor analysis and machine learning techniques: the ATHLOS project. Sci Rep 2017, 7, 43955. doi: 10.1038/srep43955.
Moreno-Villanueva, M.; Capri, M.; Breusingc, N.; Siepelmeyer, A.; Sevini, F. et al. MARK-AGE standard operating procedures (SOPs): A successful effort. Mech. Ageing Dev. 2015. doi: 10.1016/j.mad.2015.03.007