

Genetic markers of longevity and survival in physiological and pathological aging
https://doi.org/10.25557/2073-7998.2025.07.132-134
Abstract
Increased life expectancy during physiological aging and in age-related pathologies development is due to specific adaptive mechanisms, including individual genetic profile. With the aim to investigate the molecular-genetic bases of longevity, the sample of 3265 unrelated individuals aged 18–114 years from of the Republic of Bashkortostan, the survival under pathologies conditions and in healthy aging was analyzed. Polymorphic variants of thirty genes of cellular homeostasis were selected as the predictors. Markers of survival and agerelated adaptation to cardiovascular diseases (PON1 rs662, NFE2L2 rs6721961, AKT1 rs3803304, HIF1A rs11549465, TEAD1 Ya5ac2013), cerebrovascular pathologies (PON1 rs662, SEMA6A Yb8NBC597, GPX1 rs1050450), cancer (MTHFR rs1801133, SOD1 rs2070424, CAT rs1001179), diabetes mellitus and multimorbidity (SIRT1 rs3758391, LAMA2 Ya5-MLS19) were identified. The genetic predictors of survival in physiological aging were NFE2L2 rs6721961, KEAP1 rs1048290, and AKT1 rs3803304. Thus, genes involved in redox regulation, antioxidant protection of lipids, cell proliferation and activity, autophagy and apoptosis are associated with survival and longevity.
About the Authors
V. V. ErdmanRussian Federation
71, October prospect, Ufa, 450054;
3, Lenina st., Ufa, 450008
I. A. Tuktarova
Russian Federation
71, October prospect, Ufa, 450054
A. A. Petintseva
Russian Federation
71, October prospect, Ufa, 450054
Y. R. Timasheva
Russian Federation
71, October prospect, Ufa, 450054;
3, Lenina st., Ufa, 450008
T. R. Nasibullin
Russian Federation
71, October prospect, Ufa, 450054
References
1. Naghavi M., Ong K.., Aali A, et al. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet (London, England). 2024;403(10440):2100-32.
2. Smulders L., Deelen J. Genetics of human longevity: From variants to genes to pathways. Journal of internal medicine. 2024;295(4):416-35.
3. Favorov A.V., Andreewski T.V., Sudomoina M.A., et al. A Markov chain Monte Carlo technique for identification of combinations of allelic variants underlying complex diseases in humans. Genetics. 2005;171(4):2113-21.
4. González J.R., Armengol L., Solé X., et al. SNPassoc: an R package to perform whole genome association studies. Bioinformatics (Oxford, England). 2007;23(5):644-5.
5. Shliapina V.L., Yurtaeva S.V., Rubtsova M.P., Dontsova O.A. At the Crossroads: Mechanisms of Apoptosis and Autophagy in Cell Life and Death. Acta naturae. 2021;13(2):106-15.
6. Xiao J.L., Liu H.Y., Sun C.C., Tang C.F. Regulation of Keap1-Nrf2 signaling in health and diseases. Molecular biology reports. 2024;51(1):809.
7. Supuran C.T. Paraoxonases. Metalloenzymes: Elsevier; 2024. p. 93-9.
8. Kalinina E.V., Chernov N.N., Novichkova M.D. Role of glutathione, glutathione transferase, and glutaredoxin in regulation of redox-dependent processes. Biochemistry (Moscow). 2014;79(13):299-348.
9. Fard D., Tamagnone L. Semaphorins in health and disease. Cytokine & Growth Factor Reviews. 2021;57:1562-1583.
10. Rogina B., Tissenbaum H.A. SIRT1, resveratrol and aging. Front Genet. 2024;15:1393181.
11. Yurchenco P.D., Kulczyk A.W. Polymerizing laminins in development, health, and disease. The Journal of biological chemistry. 2024;300(7):107429.
12. Taguchi K., Yamamoto M. The KEAP1-NRF2 System in Cancer. Frontiers in oncology. 2017;7:85.
Review
For citations:
Erdman V.V., Tuktarova I.A., Petintseva A.A., Timasheva Y.R., Nasibullin T.R. Genetic markers of longevity and survival in physiological and pathological aging. Medical Genetics. 2025;24(7):132-134. (In Russ.) https://doi.org/10.25557/2073-7998.2025.07.132-134