System diagnostics of socio-economic processes
System analysis in medicine and biology
V.I. Dontsov, V.N. Krut`ko A systems analysis of biomarkers of aging for definition of biological age
Methods and models of system analysis
Dynamic systems
V.I. Dontsov, V.N. Krut`ko A systems analysis of biomarkers of aging for definition of biological age

Abstract.

Biological age (BA) is a quantitative measure of aging that reflects the decline in the body's vitality with age. The viability of the whole (organism) consists of the viability of parts (organs and systems of the body), which corresponds to their functional resource. Indicators of such resource - biomarkers (BM) of aging. BM of aging are any indicators that decrease significantly with age and have little variation between individuals. To BM of aging, quantitatively characterizing the BA, can be imposed a number of quality requirements. Optimal is the set of 6-15 "orthogonal" – minimally cross-correlated BM, characterizing the state of various vital body systems (especially cardiovascular and respiratory), in particular reflecting: age physiology, features of aging the most important organs and systems, physical and mental performance, limits of adaptation and functional reserves, agerelated chronic pathology, self-reported health conditions. The most important requirements for BM are: accuracy; information content; low individual variability and resistance to external influences, diseases and training; not too high complexity and cost; availability of equipment; taking into account specific tasks and capabilities of the researcher. Taking into account these requirements, perspective biomarkers of aging of which various diagnostic panels for BA assessment for the different purposes and tasks of users can be formed are selected.

Keywords:

systems analysis, aging, biomarkers of aging, biological age, personalized medicine.

PP. 32-41.

DOI: 10.14357/20790279180404

References

1. Krut’ko V.N. 2014. Demograficheskie problemy Rossii: setevoj proekt reshenija [Demographic problems: network the draft decision]. Rossija i sovremennyj mir [Russia and the modern world] 2(83):81-92.
2. Dontsov V.I. and V.N. Krutko. 2015. Biological age as a method for systematic assessment of ontogenetic changes in the state of an organism. Russian Journal of Developmental Biology. 46(5):246-253.
3. Krut’ko V.N., V.I. Dontsov V.I., O.V. Zahar’jashheva, I.A. Kuznetsov, O.A. Mamikonova, V.V. Pyrvu, T.M. Smirnova and L.A. Sokolova. 2014. Biologicheskij vozrast kak pokazatel’ urovnja zdorov’ja, starenija i jekologicheskogo blagopoluchija cheloveka. [Biological age as an indicator of the level of health, aging and environmental well-being of man]. Aviakosmicheskaja i jekologicheskaja medicina [Aerospace and environmental medicine] 48(3):12-19.
4. Dotscov V.I. and V.N. Krut’ko. 2014. Biologicheskij vozrast kak sistemnyj metod ocenki starenija [Biological age as a systematic method of assessing aging]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah [System analysis and management in biomedical systems]. 13(3):526-534.
5. Krut’ko V.N., V.I. Dontsov, O.A. Mamikonova, V.V. Pyrvu and S.I. Rozenblit. 2017. Diagnostika starenija i biologicheskij vozrast v medicine antistarenija [Diagnostics of aging and biological age-aging medicine]. Mezhdunarodnye obzory: klinicheskaja praktika i zdorov’e [International reviews of clinical practice and health] 3(26):82-99.
6. Peto M.V., C. De la Guardia, K. Winslow, A. Ho, K. Fortney and E. Morgen. 2017. Mortality Predictors. org: a manually-curated database of published biomarkers of human all-cause mortality. Aging (Albany NY). 9(8):1916-1925.
7. Sprott R.L. 2010. Biomarkers of aging and disease: Introduction and definitions. Exp. Gerontol. 45:2-4.
8. Cheremushnikova I.I., N.O. Davydova, N.V. Grivko and E.S. Barasheva. 2012. Monitoring biologicheskogo vozrasta studentov kak pokazatel’ adaptacii v VUZe [Monitoring the biological age of students as an indicator of adaptation in higher education]. Vrach-aspirant [Doctor-graduate student] 53(4):285-292.
9. Karasik D., S. Demissie, A. Cupples and D. Kie. 2005. Disentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measures. J. Gerontol. A Biol Sci Med Sci. 60:574-587.
10. Mather K.A., A.F. Jorm, R.A. Parslow and H. Christensen. 2011. Is telomere length a biomarker of aging? A review. Journals Gerontol. Ser. A Biol. Sci. Med. Sci. 66:202-213.
11. Gudkova L.K. 2010. Problema celostnosti v fiziologicheskoj antropologii [The problem of the integrity of physiological anthropology]. Vestnik Moskovskogo universiteta. Serija 23: Antropologija [Bulletin of Moscow University. Series 23: Anthropology] 3:16-24.
12. Galimov Je.M. 2006. Fenomen zhizni: mezhdu ravnovesiem i nelinejnost’ju [The Phenomenon of life: between equilibrium and nonlinearity]. Proishozhdenie i principy jevoljucii [Origin and principles of evolution] Moscow: Editorial URSS, 256 p.
13. Dontsov V.I. and V.I. Krut’ko. 2017. Starenie: sistemnyj podhod [Aging: a systematic approach]. Trudy ISA RAN [Proceedings of ISA RAS] 67(1):104-112.
14. Krut’ko V.N., V.I .Dontsov, O.A. Mamikonova O.A., V.V. Pyrvu and S.I. Rozenblit. 2017. Diagnostika starenija i biologicheskij vozrast v medicine antistarenija [Diagnostics of aging and biological age-aging medicine]. Mezhdunarodnye obzory: klinicheskaja praktika i zdorov’e [International reviews of clinical practice and health] 2(26):82-99.
15. Dontsov V.I. and V.I. Krut’ko. 2017. Biologicheskij vozrast kak metod sistemnoj ocenki vozrastnyh izmenenij sostojanija organizma [Biological age as a method of systematic assessment of agerelated changes in the state of the organism]. Trudy XI Mezhdunarodnoj nauchnoj conferencii «Sistemnyj analiz v medicine» (SAM 2017) [Proceedings of the XI International scientific conference “System analysis in medicine” (SAM 2017)], Blagoveshhensk, 23–27.
16. Krut’ko V.N., V.I. Dontsov and O.V. Zahar’jashheva. 2009. Sistemnaja teorija starenija: metodologicheskie osnovy, glavnye polozhenija i prilozhenija [System theory of aging: methodological foundations, main provisions and applications]. Aviakosmicheskaja i jekologicheskaja medicina [The Aerospace and environmental medicine] 43(1):12 –19.
17. Laz’ko A.E., M.V. Laz’ko, A.P. Jaroshinskaja, O.A. Ovsjannikova, M.D. Osipenko and D.V. Karpeeva. 2012. Ispol’zovanie strukturno-sistemnogo analiza v biologii [Use of structurally-system analysis in biology]. Astrahanskij medicinskij zhurnal [Astrakhan medical journal] 7(4):163-165.
18. Krut’ko V.N., T.M. Smirnova, V.I. Dontsov and S.E. Borisov. 2011. Diagnostika starenija. Soobshhenie I. Problema nadezhnosti linejnyh regressionnyh modelej biologicheskogo vozrasta [Diagnosis of aging. I. the problem of reliability of linear regression models of biological age]. Fiziologija cheloveka [Human physiology] 27(6):88-94.
19. Dontsov V.I., V.N. Krut’ko, O.A. Mamikonova and S.I. Rozenblit. 2014. Specializirovannye medicinskie informacionnye sistemy: metodicheskie podhody i komp’juternaja programma dlja ocenki biologicheskogo vozrasta v profilakticheskoj medicine [Medical information systems: a methodological approach and computer program for estimation of biological age in preventive medicine]. Informacionno-izmeritel’nye i upravljajushhie sistemy [Information-measuring and control system] 12(10):94-98.
20. Dontsov V.I., V.N. Krut’ko, N.S. Potemkina and O.A. Mamikonova. 2016. Komp’juternye sistemy v diagnostike starenija: ocenka biologicheskogo vozrasta, raciona pitanija, fizicheskogo zdorov’ja i psihicheskih rezervov [Computer system in the diagnostics of aging: evaluation of biological age, diet, physical health and mental reserves]. Trudy ISA RAN [Proceedings of ISA RAS] 67(2):44-53.
21. Dontsov V.I. and V.N. Krut’ko. 2016. Bioage: kolichestvennaja diagnostika starenija i riskov smertnosti. Svidetel’stvo o registracii komp’juternoj programmy Bioage: quantitative diagnosis of aging and risk of mortality. The certificate of registration of computer software № 2016663535.
22. Garinis G.A., G.T. van der Horst, J. Vijg and J.H. Hoeijmakers. 2008. DNA damage and ageing: new-age ideas for an age-old problem. Nat Cell Biol. 10:1241-1247.
23. Song Z., F.G. Von, Y. Liu, J.M. Kraus, C. Torrice, P. Dillon, M. Rudolph-Watabe, Z. Ju, H.A. Kestler, H. Sanoff, R.K. Lenhard. 2010. Lifestyle impacts on the aging-associated expression of biomarkers of DNA damage and telomere dysfunction in human blood. Aging Cell. 9:607-615.
24. Blasco M.A. 2005. Telomeres and human disease: ageing, cancer and beyond. Nat Rev Genet. 6:611-622.
25. Cortopassi G.A., D. Shibata, N.W. Soong and N. Arnheim. 1992. A pattern of accumulation of a somatic deletion of mitochondrial DNA in aging human tissues. Proc Natl Acad Sci USA. 89:7370-7374.
26. Zubakov D., F. Liu, M.C. van Zelm, J. Vermeulen, B.A. Oostra, C.M. van Duijn, G.J. Driessen, J.J. van Dongen, M. Kayser and A.W. Langerak. 2010. Estimating human age from T-cell DNA rearrangements. Curr Biol. 20:R970-R971.
27. Helfman P.M. and J.L. Bada. 1976. Aspartic acid racemisation in dentine as a measure of ageing. Nature.262:279-281.
28. Odetti P., S. Rossi, F. Monacell, A. Poggi, M. Cirnigliaro, M. Federici and A. Federici. 2005. Advanced glycation end products and bone loss during aging. Ann N Y Acad Sci. 1043:710-717.
29. Meissner C. and S. Ritz-Timme. 2010. Molecular pathology and age estimation. Forensic Sci Int. 203:34-43.
30. Weidner C.I., Q. Lin, C.M. Koch et al. 2014. Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biology. 15:R24.
31. Fraga M.F. and M. Esteller. 2007. Epigenetics and aging: the targets and the marks. Trends Genet. 23:413-418.
 

2024-74-1
2023-73-4
2023-73-3
2023-73-2

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".