PERSONALIZED MEDICINE: FROM IDEA TO IMPLEMENTATION IN PRACTICAL HEALTH CARE

DOI: https://doi.org/10.29296/24999490-2018-03-02

N.N. Belushkina(1), A.S. Chemezov(2), M.A. Paltsev(1, 2) 1-N. M. Emanuel Institute of Biochemical Physics, 4, Kosygina str., Moscow, 119334, Russian Federation 2-Moscow State University. M.V. Lomonosov Moscow, 119991, Russian Federation, Moscow, Leninskie gory, 1 E-mail: [email protected]

The review considers the main trends of the new concept of individual health medicine, called the predictive preventive personalized participative medicine – P4 Medicine. Medico-biological and medico-social prerequisites for the development of personalized medicine, the main tasks and approaches to the implementation of P4 Medicine are considered. Personalized medicine is based on scientific and technological and methodological achievements in the field of genomics, transcriptomics, proteomics, metabolomics, and bioinformatics. The review presents modern molecular methods and technologies actively used in P4 Medicine, including blockchain technologies and artificial intelligence. The solution of problems of personalized medicine is considered on the example of oncological and autoimmune diseases, the algorithms of therapy at preclinical and clinical stages of diseases are shown to take into account the individual genetic and pathogenetic status of the patient. The main tasks of promoting the concept of personalized medicine into practical health care and the main constraints of introducing the principles of personalized medicine into clinical practice are considered. P4 Medicine, as a new direction of medicine, focused on individual health, is potent both of really stabilizing the incidence rates and reducingthe disability rate of the able-bodied population, significantly decline traditionally high costs of treating ill people.
Keywords: 
personalized medicine, P4 Medicine, blockchain technologies, omics-technologies, artificial intelligence

Список литературы: 
  1. Dedov I.I., Tyul`pakov A.N., Chehonin V.P., Baklaushev V.P., Archakov A.I., Moshkovskiy S.A. Personalizirovannaya medicina: sovremennoe sostoyanie i perspektivy. Vestnik RAMN. 2012; 12: 4–12 [Dedov I.I., Tyul’pakov A.N., Chekhonin V.P., Baklaushev V.P., Archakov A.I., Moshkovskij S.A. Personalizirovannaya medicina: sovremennoe sostoyanie i perspektivy. Vestnik RAMN. 2012; 12: 4–12 (in Russian)]
  2. Hood L. Systems biology and p4 medicine: past, present, and future. Rambam Maimonides Med. J. 2013; 4 (2): e0012. DOI: 10.5041/RMMJ.10112.
  3. Pal`cev M.A., Belushkina N.N., Chaban. 4P-medicina kak novaya model` zdravoohraneniya v Rossiyskoy Federacii. Orgzdrav. 2015; 2: 52–8. [Pal’cev M.A., Belushkina N.N., Chaban. 4P-medicina kak novaya model’ zdravoohraneniya v Rossijskoj Federacii. Orgzdrav. 2015; 2: 52–8 (in Russian)]
  4. Jain K.K. Personalized Medicine. Decision Resources Inc. Waltham, MA, USA. 1998.
  5. Cheng T.T., Zhan X.Q. Pattern recognition for predictive, preventive, and personalized medicine in cancer. EPMA J. 2017; 8 (1): 51–60. DOI: 10.1007/s13167-017-0083-9.
  6. Leroy Hood, Qiang Tian Systems Approaches to Biology and Disease Enable Translational Systems Medicine. Genomics Proteomics Bioinformatics. 2012; 10: 181–5.
  7. Jung K.H., Lee K.H. Molecular Imaging in the Era of Personalized Medicine. Journal of pathology and translational medicine. 2015; 49 (1): 5–12. DOI: 10.4132/jptm.2014.10.24.
  8. Novikova E.I., Snigireva G.P. Sekvenirovanie «novogo pokoleniya» (NGS): primenenie dlya molekulyarno-geneticheskih issledovaniy v onkologii. Vestnik Rossiyskogo nauchnogo centra rentgenoradiologii Minzdrava Rossii. 2016; 16 (1): 6–8. [Novikova E.I., Snigireva G.P. Sekvenirovanie «novogo pokoleniya» (NGS): primenenie dlya molekulyarno-geneticheskih issledovanij v onkologii. Vestnik Rossijskogo nauchnogo centra rentgenoradiologii Minzdrava Rossii. 2016; 16 (1): 6–8 (in Russian)]
  9. Gonzalez-Garay M.L. The road from next-generation sequencing to personalized medicine. Personalized medicine. 2014; 11 (5): 523–44. DOI: 10.2217/PME.14.34.
  10. Sychev D.A., Shuev G.N., Torbenkov E.S., Adriyanova M.A. Personalizirovannaya medicina: vzglyad klinicheskogo farmakologa. Consilium Medicum. 2017; 19 (1): 61–8. [Sychev D.A., SHuev G.N., Torbenkov E.S., Adriyanova M.A. Personalizirovannaya medicina: vzglyad klinicheskogo farmakologa. Consilium Medicum. 2017; 19 (1): 61–8 (in Russian)]
  11. Bush W.S., Moore J.H. Chapter 11: Genome-wide association studies. Public Library of Science for Computational Biology. 2012; 8 (12): e1002822. DOI:10.1371/journal.pcbi.1002822.
  12. Nielsen J. Systems Biology of Metabolism: A Driver for Developing Personalized and Precision Medicine. Cell metabolism. 2017; 25 (3): 572–9. DOI: 10.1016/j.cmet.2017.02.002.
  13. Zakim D., Schwab M. Data collection as a barrier to personalized medicine. Trends in pharmacological sciences. 2014; 36 (2): 68-71. DOI: 10.1016/j.tips.2014.11.002.
  14. Nemcova M.V., Kushlinskiy N.E. Molekulyarno-biologicheskie markery v prakticheskoy onkologii Laboratornaya sluzhba. 2014; (1): 14–22. [Nemcova M. V., Kushlinskij N. E. Molekulyarno-biologicheskie markery v prakticheskoj onkologii Laboratornaya sluzhba. 2014; (1): 14–22 (in Russian)]
  15. Pavlovic S., Zukic B., Petrovic M.S. Molecular genetic markers as a basis for personalized medicine. J. of medical biochemistry. 2014; 33 (1): 8–21. DOI: 10.2478/jomb-2013-0035.
  16. Bodrova T.A., Kostyushev D.S., Antonova E.N., Gnatenko D.A., Bocharova M.O., Lopuhin Yu.M., Pal`cev M.A., Suchkov S.V. Vvedenie v prediktivno-preventivnuyu medicinu: opyt proshlogo i realii dnya zavtrashnego. Vestnik Rossiyskoy akademii medicinskih nauk. 2013; 1: 58–64. [Bodrova T.A., Kostyushev D.S., Antonova E.N., Gnatenko D.A., Bocharova M.O., Lopuhin YU.M., Pal’cev M.A., Suchkov S.V. Vvedenie v prediktivno-preventivnuyu medicinu: opyt proshlogo i realii dnya zavtrashnego. Vestnik Rossijskoj akademii medicinskih nauk. 2013; 1: 58–64 (in Russian)]
  17. Volm M., Efferth T. Prediction of Cancer Drug Resistance and implications for Personalized Medicine. Frontiers in oncology. 2015; 5: 282. DOI: 10.3389/fonc.2015.00282.
  18. Jackson S.E., Chester J.D. Personalised cancer medicine. International J. of canceR. 2015; 137 (2): 262–6. DOI: 10.1002/ijc.28940.
  19. Shujun L. Epigenetics Advancing Personalized Nanomedicine in Cancer Therapy. Adv Drug Deliv Rev. 2012; 64 (13): 1532–43. doi:10.1016/j.addr.2012.08.004.
  20. Morse B.L., Kim R.B. Is personalized medicine a dream or a reality? Critical reviews in clinical laboratory sciences. 2015; 52 (1): 1–11. DOI: 10.3109/10408363.2014.950407.
  21. Svon M. Blokcheyn. Shema novoy e`konomiki. Izdatel`stvo «Olimp-Biznes», M., 2018; 234. [Svon M. Blokchejn. Skhema novoj ehkonomiki. Izdatel’stvo «Olimp-Biznes», M., 2018; 234 (in Russian)]
  22. Golubnitschaja O., Baban B., Boniolo G., W., Bubnov R., Kapalla M., Krapfenbaue K., Mozaffari M. S., Costigliola V. Medicine in the early twenty-first century: paradigm and anticipation. The EPMA J. 2016; 7: 23. DOI: 10.1186/s13167-016-0072-4.
  23. Di Sanzo M., Cipolloni L., Borro M., La Russa R., Santurro A., Scopetti M. Simmaco M., Frati P. Clinical Applications of Personalized Medicine: A New Paradigm and Challenge. Current pharmaceutical biotechnology. 2017; 18 (3): 194–203. DOI: 10.2174/1389201018666170224105600.
  24. Alyass A., Turcotte M., Meyre D. From big data analysis to personalized medicine for all: challenges and opportunities. BMC Medical genomics. 2015; 8: 33. DOI: 10.1186/s12920-015-0108-y.
  25. Tursz T., Bernards R. Hurdles on the road to personalized medicine. Molecular oncology. 2015; 9 (5): 935–9. DOI: 10.1016/j.molonc.2014.08.009
  26. Zakim D., Schwab M. Data collection as a barrier to personalized medicine. Trends in pharmacological sciences. 2015; 36 (2): 68–71. DOI: 10.1016/j.tips.2014.11.002.
  27. Marie K., Jiri P., Jan S., Ondrej T. A road toward better education in personalized medicine at universities and beyond. Personalized medicine. 2015; 12 (3): 259–67. DOI: 10.2217/PME.14.84.