Abbas I. (2016) Modeling and simulation in clinical trials. Proceedings of the Modeling and Simulation in Medicine Symposium (MSM '16). Society for Computer Simulation International, San Diego, CA, USA, 1: 1–6.
Aggarwal M., Madhukar M. (2017) IBM's Watson Analytics for Health Care: A Miracle Made True. In Bhatt C., Peddoju S. (Ed.) Cloud Computing Systems and Applications in Healthcare (pp. 117–134). IGI Global.
Arroyo J.D. et al. (2011) Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc. Natl. Acad. Sci. USA 108 (12): 5003–5008.
Bartel D.P. (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 116 (2): 281–297.
Battaglia R. et al. (2016) MicroRNAs are stored in human MII oocyte and their expression profile changes in reproductive aging. Biol. Reprod. 95 (6): 131.
Belsky D. W., Moffitt T. E., Cohen A. A., et al. (2017) Eleven telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: Do they measure the same thing? Am. J. Epidemiol. 2017; kwx346.
Benayoun B.A., Pollina E.A., Brunet A. (2015) Epigenetic regulation of aging: linking environmental inputs to genomic stability. Nat. Rev. Mol. Cell. Biol. 16 (10): 593–610.
Bottou L., Bousquet O. (2012) The Tradeoffs of Large Scale Learning. Sra, Suvrit; Nowozin, Sebastian; Wright, Stephen J. (eds.). Optimization for Machine Learning. Cambridge: MIT Press. pp. 351–368.
Branda R. F., Moore A. L., Mathews L., McCormack J. J., Zon G. (1993) Immune stimulation by an antisense oligomer complementary to the rev gene of HIV-1. Biochem. Pharmacol. 45 (10): 2037–2043.
Breiman L. (2001) Random Forests. Machine Learning 45: 5–32.
Butler R.N. et al. (2004) Biomarkers of aging: from primitive organisms to humans. J. Gerontol. A Biol. Sci. Med. Sci. 59: B560.
Cheng L. et al. (2014) Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell-free blood. J. Extracell. Vesicles 26: 3.
Claesson M.J. et al. (2012) Gut microbiota composition correlates with diet and health in the elderly. Nature 488 (7410): 178–184.
Colcombe S.J. et al. (2003) Aerobic fitness reduces brain tissue loss in aging humans. J Gerontol. A Biol. Sci. Med. Sci. 58 (2): 176–180.
Contrepois K. et al. (2017) Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression. Nat. Commun. 8: 14995.
Craig T. et al. (2015) The Digital Aging Atlas: integrating the diversity of age-related changes into a unified resource. Nucleic. Acids. Res. 43: D873.
Deaton A.M., Bird A. (2011) CpG islands and the regulation of transcription. Genes Dev. 25 (10): 1010–1022.
Driscoll I. et al. (2009) Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology 72 (22): 1906–1913.
Drummond M.J. et al. (2011) Aging and microRNA expression in human skeletal muscle: a microarray and bioinformatics analysis. Physiol. Genomics. 43 (10): 595–603.
Ewald C.Y., Marfil V., Li C. (2016) Alzheimer-related protein APL-1 modulates lifespan through heterochronic gene regulation in Caenorhabditis elegans. Aging Cell 15 (6): 1051–1062.
Fedintsev A. et al. (2017) Markers of arterial health could serve as accurate non-invasive predictors of human biological and chronological age. Aging 9: 1280.
Fitzenberger E. et al. (2014) The polyphenol quercetin protects the mev-1 mutant of Caenorhabditis elegans from glucose-induced reduction of survival under heat-stress depending on SIR-2.1, DAF-12, and proteasomal activity. Mol. Nutr. Food Res. 58 (5): 984–994.
Fraga M.F., Esteller M. (2007) Epigenetics and aging: the targets and the marks. Trends. Genet. 23 (8): 413–418.
Gunn D.A. et al. (2008) Perceived age as a biomarker of aging: a clinical methodology. Biogerontology 9 (5): 357–364.
Hastie T., Tibshirani R., Friedman J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition. Springer Series in Statistics.
He L. et al. (2007) A microRNA component of the p53 tumor suppressor network. Nature 447 (7148): 1130–1134.
Helgeson J., Rammage M., Urman A., Roebuck C.M., Coverdill S., Pomerleau K., Dankwa-Mullan I., Liu L.-I., Sweetman R.W., Chau Q., Williamson P.M., Vinegra M., Haddad T.C., Goetz M.P. (2018) Clinical performance pilot using cognitive computing for clinical trial matching at Mayo Clinic. Journal of Clinical Oncology 36(15): e18598-e18598.
Holford N. H. G., Kimko H. C., Monteleone J. P. R., Peck C. C. (2000) Simulation of Clinical Trials. Annual Review of Pharmacology and Toxicology 40 (1): 209–234.
Horvath S., Raj K. (2018) DNA methylation-based biomarkers and the epigenetic clock theory of aging. Nat. Rev. Genet. 19 (6): 371–384.
Hoy A.M., Buck A.H. (2012) Extracellular small RNAs: what, where, why? Biochem. Soc. Trans. 40 (4): 886–890.
Huang X. et al. (2013) Characterization of human plasma-derived exosomal RNAs by deep sequencing. BMC Genom. 14: 319.
Hunter M.P. et al. (2008) Detection of microRNA expression in human peripheral blood microvesicles. PLoS ONE 3 (11): 3694.
Inukai S. et al. (2012) Novel microRNAs differentially expressed during aging in the mouse brain. PLoS ONE 7 (7): 40028.
Kato M. et al. (2009) The mir-34 microRNA is required for the DNA damage response in vivo in C. elegans and in vitro in human breast cancer cells. Oncogene 28 (25): 2419–2424.
Kato M. et al. (2011) Age-associated changes in expression of small, noncoding RNAs, including microRNAs in C. elegans. RNA 17 (10): 1804–1820.
Ke G., Meng Q., Finley, T., Wang, T., Chen, W., Ma, W., Ye, Q., & Liu, T. (2017). LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS.
Kingma D.P., Ba, J. (2015). Adam: A Method for Stochastic Optimization. CoRR, abs / 1412.6980.
Kupryushin A.S., Markova A.A., Kupryushina N.V., Vishnyakova Z.S., Latynova I.V., Semina M.N. THE STRUCTURE OF THE CAUSES OF DEATH OF THE ELDERLY AND OLD PATIENTS, DEATH AT HOME // Modern problems of science and education. – 2016. - No. 3.
Larson K. et al. (2012) Heterochromatin formation promotes longevity and represses ribosomal RNA synthesis. PLoS Genet 8 (1): e1002473.
Lehmann S.M. et al. (2012) An unconventional role for miRNA: let-7 activates Toll-like receptor 7 and causes neurodegeneration. Nat. Neurosci. 15 (6): 827–835.
Levine M.E. et al. (2018) An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY) 10 (4): 573–591.
Liu F. et al. (2016) The MC1R gene and youthful looks. Curr. Biol. 26 (9): 1213–1220.
Liu Z., Kuo P.-L., Horvath S., Crimmins E., Ferrucci L., Levine M. (2018). Phenotypic age: a novel signature of mortality and morbidity risk. bioRxiv363291 [Preprint].
Loseva P. (2020) Counterclockwise / Alpina Digital, 2020 - (Primus).
Machida T. et al. (2015) MicroRNAs in salivary exosomes as potential biomarkers of aging. Int. J. Mol. Sci. 16 (9): 21294–21309.
Mamoshina P., Kochetov K., Putin E., Cortese F., Aliper A., Lee WS, Ahn SM, Uhn L., Skjodt N., Kovalchuk O., Scheibye-Knudsen M., Zhavoronkov A. (2018) Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations. J. Gerontol. A Biol. Sci. Med. Sci. 73 (11): 1482–1490.
Mamoshina P., Vieira A., Putin E., Zhavoronkov A. (2016) Applications of deep learning in biomedicine. Mol. Pharm. 13: 1445–1454.
Mangiola F. et al (2018) Gut microbiota and aging. Eur. Rev. Med. Pharmacol. Sci. 22 (21): 7404–7413.
Mitnitski A., Rockwood K. (2015) Aging as a process of deficit accumulation: its utility and origin. Interdiscip. Top. Gerontol. 40: 85–98.
Mitnitski A., Song X., Skoog I., Broe G.A., Cox J.L., Grunfeld E., Rockwood K. (2005) Relative fitness and frailty of elderly men and women in developed countries and their relationship with mortality. J. Am. Geriatr. Soc. 53 (12): 2184–2189.
Mitnitski A., Rockwood K. (2019) The Problem of Integrating of Biological and Clinical Markers of Aging. In: Moskalev A. (eds) Biomarkers of Human Aging. Healthy Aging and Longevity, vol 10. Springer, Cham.
Mitnitski A.B., Mogilner A.J., Rockwood K. (2001) Accumulation of deficits as a proxy measure of aging. Sci. World J. 1: 323–336.
Miyawaki S. et al. (2016) Facial pigmentation as a biomarker of carotid atherosclerosis in middle aged to elderly healthy Japanese subjects. Skin. Res. Technol. 22 (1): 20–24.
Moskalev A., editor. Biomarkers of Human Aging. Springer International Publishing; 2019.
Moskalev A. (2019) Introduction. In: Moskalev A. (eds) Biomarkers of Human Aging. Healthy Aging and Longevity, vol 10. Springer, Cham.
Neri F. et al. (2017) Intragenic DNA methylation prevents spurious transcription initiation. Nature 543 (7643): 72–77.
Nevalainen T. et al. (2017) Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals. Clin. Epigenetics 9:20.
O'Sullivan R.J. et al. (2010) Reduced histone biosynthesis and chromatin changes arising from a damage signal at telomeres. Nat. Struct. Mol. Biol. 17 (10): 1218–1225.
Olivieri F. et al. (2017) Circulating miRNAs and miRNA shuttles as biomarkers: perspective trajectories of healthy and unhealthy aging. Mech. Aging Dev. 165 (Pt B): 162–170.
Peleg S. et al. (2010) Altered histone acetylation is associated with age-dependent memory impairment in mice. Science 328 (5979): 753–756.
Piazzesi A. et al. (2016) Replication-independent histone variant H3.3 controls animal lifespan through the regulation of pro-longevity transcriptional programs. Cell. Rep. 17 (4): 987–996.
Putin E., Mamoshina P., Aliper A., Korzinkin M., Moskalev A., Kolosov A., Ostrovskiy A., Cantor C., Vijg J., Zhavoronkov A. (2016) Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging (Albany NY). 8 (5): 1021–33.
Pyrkov T.V., Fedichev P.O. (2019) Biological Age is a Universal Marker of Aging, Stress, and Frailty. In: Moskalev A. (eds) Biomarkers of Human Aging. Healthy Aging and Longevity, vol 10. Springer, Cham.
Rockwood K., Song X., Mitnitski A. (2011) Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. CMAJ 183 (8): E487 – E494.
Scaffidi P., Misteli T. (2006) Lamin A-dependent nuclear defects in human aging. Science 312 (5776): 1059–1063.
Schubeler D. (2015) Function and information content of DNA methylation. Nature 517 (7534): 321–326.
Shumaker D.K. et al. (2006) Mutant nuclear lamin A leads to progressive alterations of epigenetic control in premature aging. Proc. Natl. Acad. Sci. USA 103 (23): 8703–8708.
Singh J. et al. (2016) Aging-associated changes in microRNA expression profile of internal anal sphincter smooth muscle: role of microRNA-133a. Am. J. Physiol. Gastrointest. Liver. Physiol. 311 (5): G964 – G973.
Smith-Vikos T. et al. (2016) Aserum miRNA profile of human longevity: findings from the Baltimore longitudinal study of aging (BLSA). Aging (Albany NY) 8 (11): 2971–2987.
Tatar M., Bartke A., Antebi A. (2003) The endocrine regulation of aging by insulin-like signals. Science 299 (5611): 1346–1351.
Tazawa H. et al. (2007) Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells. Proc. Natl. Acad. Sci. USA. 104 (39): 15472–15477.
Tian Y. et al. (2016) Mitochondrial stress induces chromatin reorganization to promote longevity and UPR (mt). Cell 165 (5): 1197–1208.
Vasilkov V.G., Safronov A.I. (2017) CRITICAL MEDICINE: INTENSIVE DIAGNOSTICS. TOPICAL ISSUES IN DIAGNOSIS, TREATMENT AND REHABILITATION OF PATIENTS Materials of the 19th anniversary interregional scientific-practical conference dedicated to the 40th anniversary of the ISPU - a branch of the FSBEI DPO RMANPO of the Ministry of Health of Russia.
Veytsman B., Cui T., Baranova A. (2019) Practical Detection of Biological Age: Why It Is not a Trivial Task. In: Moskalev A. (eds) Biomarkers of Human Aging. Healthy Aging and Longevity, vol 10. Springer, Cham.
Vickers K. C., et al. (2011) MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat. Cell. Biol. 13 (4): 423–433.
Wagner W. (2017) Epigenetic aging clocks in mice and men. Genome. Biol. 18 (1): 107.
Weber J. A., et al. (2010) The microRNA spectrum in 12 body fluids. Clin. Chem. 56 (11): 1733–1741.
Woo M. (2019) An AI boost for clinical trials. Nature 573: 100–102.
Wood J. G., et al. (2010) Chromatin remodeling in the aging genome of Drosophila. Aging Cell 9 (6): 971–978.
Yang X., et al. (2014) Gene body methylation can alter gene expression and is a therapeutic target in cancer. Cancer Cell 26 (4): 577–590.
Zhang W., et al. (2015) Aging stem cells. A Werner syndrome stem cell model unveils heterochromatin alterations as a driver of human aging. Science 348 (6239): 1160–1163.
Zhao Q., et al. (2016) Dissecting the precise role of H3K9 methylation in crosstalk with DNA maintenance methylation in mammals. Nat. Commun. 7: 12464.