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Contract number
074-02-2018-330, 075-15-2019-871 (1), 075-15-2021-639
Time span of the project
2018-2022

As of 30.01.2020

61
Number of staff members
47
scientific publications
6
Objects of intellectual property
General information

Name of the project: Digital personalized aging medicine: network analysis of Big multi-omic data for the search of new diagnostics, forecasting and therapeutics.

Goals and objectives
Research directions: Clinical medicine, geriatrics and gerontology

Project objective: Search for new medical strategies for ensuring healthy aging, increasing life expectancy of the population and, as a result, increasing quality of live.

The practical value of the study
  • We have proposed and have been developing an integrative approach to solving this problem that accounts all the listed factors. The conclusion concerning the decisive role of the interaction between the three main types of genome present in the human organism – nuclear, mitochondrial, and microbiotic - is especially.
  • The Laboratory has been developing a concept of aging as an inflammatory process related to increase of the number of old cells in tissues and propagation of weak inflammatory reaction. This universal process spans like an axis through the whole organism from the intestines to the brain and it is «carried» by active molecules of the so-called «aging phenotype» that cause immune response and provoke aging of cells.
  • Education and career development: We have organized internships at the University of Bologna (Italy) for 2 students, 2 postgraduates, and 3 young scientists.

    Organizational and structural changes:

    On the grounds of the Laboratory an interdisciplinary scientific and practical center of healthy aging and active longevity has been created. It incorporates departments of bioinformatics, aging biology and sociology.

    Collaborations:

    University of Bologna (Italy), University College London (United Kingdom), Rey Juan Carlos University Madrid (Spain): joint research.

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    Yusipov I., Bacalini M.G., Kalyakulina A., Krivonosov M., Pirazzini C., Gensous N., Ravaioli F., Milazzo M, Giuliani C, Vedunova M., Fiorito G., Gagliardi A., Polidoro S, Garagnani P, Ivanchenko M., Franceschi C.
    Age-related DNA methylation changes are sex-specific: a comprehensive assessment. Aging (Albany NY), 2020, July, (Vol. 12, no. 23, pp. 24057).
    Yusipov, I., Kondakova, E., Kalyakulina, A., Krivonosov, M., Lobanova, N., Bacalini, M. G., Franceschi C., Vedunova M., & Ivanchenko, M.
    Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease. GeroScience, 2022, Apr., (Vol. 44, no. 2, pp. 817-834).
    Franceschi, C., Zaikin, A., Gordleeva, S., Ivanchenko, M., Bonifazi, F., Storci, G., & Bonafè, M.
    Inflammaging 2018: an update and a model. In Seminars in immunology, 2018, Dec., (Vol. 40, pp. 1-5).
    Kalyakulina, A., Iannuzzi, V., Sazzini, M., Garagnani, P., Jalan, S., Franceschi, C., Ivanchenko M. & Giuliani, C.
    Investigating mitonuclear genetic interactions through machine learning: A case study on cold adaptation genes in human populations from different european climate regions. Frontiers in physiology, 2020, Nov., (Vol. 11, pp. 1664-042Х)
    Whitwell, H. J., Bacalini, M. G., Blyuss, O., Chen, S., Garagnani, P., Gordleeva, S. Y., Jalan S., Ivanchenko M., Kanakov O., KustikovaV., Mariño I.P., Meyerov I., Ullner E., Franceschi C. & Zaikin, A.
    The human body as a super network: Digital methods to analyze the propagation of aging. Frontiers in aging neuroscience, 2020, May, (Vol. 12, pp. 136).
    Kalyakulina, A. I., Yusipov, I. I., Moskalenko, V. A., Nikolskiy, A. V., Kosonogov, K. A., Osipov, G. V., Zolotykh N.Yu. & Ivanchenko, M. V.
    Ludb: a new open-access validation tool for electrocardiogram delineation algorithms. IEEE Access, 2020, Jan., (Vol. 8, pp. 186181-186190).
    Pellegrini, C., Pirazzini, C., Sala, C., Sambati, L., Yusipov, I., Kalyakulina, A., Ravaioli F., Kwiatkowska K. M., Durso D. F., Ivanchenko M., Monti D., Lodi R., Franceschi C., Cortelli P., Garagnani P. & Bacalini, M. G.
    A meta-analysis of brain DNA methylation across sex, age, and Alzheimer's disease points for accelerated epigenetic aging in neurodegeneration. Frontiers in Aging Neuroscience, 2021, Mar, (Vol. 13, pp. 639428)
    Vershinina, O., Bacalini, M. G., Zaikin, A., Franceschi, C., & Ivanchenko, M.
    Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear. Scientific reports, 2021, Apr., (Vol. 11, no. 1, pp. 1-12).
    Novozhilova, M., Mishchenko, T., Kondakova, E., Lavrova, T., Gavrish, M., Aferova, S., Franceschi C., & Vedunova, M.
    Features of age-related response to sleep deprivation: in vivo experimental studies. Aging (Albany NY), 2021, Jul, (Vo. 13, no. 15, pp. 19108).
    Krivonosov, M. I., Kondakova, E. V., Bulanov, N. A., Polevaya, S. A., Franceschi, C., Ivanchenko, M. V., & Vedunova, M. V.
    A new cognitive clock matching phenotypic and epigenetic ages. Translational psychiatry, 2022, Sep., (Vol. 12, no. 1, pp. 1-9).
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