<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Problems of Social Hygiene, Public Health and History of Medicine</journal-id><journal-title-group><journal-title>Problems of Social Hygiene, Public Health and History of Medicine</journal-title></journal-title-group><issn publication-format="print">0869-866X</issn><issn publication-format="electronic">2412-2106</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1093</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2022-30-6-1211-1219</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>The evolution of personalized medicine: publications review</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Rykov</surname><given-names>M. Yu.</given-names></name><bio></bio><email>wordex2006@rambler.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">N. A. Semashko National Research Institute of Public Health</aff><pub-date date-type="epub" iso-8601-date="2022-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2022</year></pub-date><volume>30</volume><issue>6</issue><fpage>1211</fpage><lpage>1219</lpage><history><pub-date date-type="received" iso-8601-date="2022-12-21"><day>21</day><month>12</month><year>2022</year></pub-date></history><permissions><copyright-statement>Copyright © 2022,</copyright-statement><copyright-year>2022</copyright-year></permissions><abstract>The personalized medicine is based on suggestion that each person has unique characteristics at molecular, physiological, ecological and behavioral levels. In case of development of disease one is to be treated considering these unique characteristics. This belief was to some extent confirmed by application of such newest technologies as DNA sequencing, proteomics, imaging protocols and application of wireless health monitoring devices which established large inter-individual differences.The purpose of the study was to summarize and systematize the results of publications on personalized medicine and its development.The search for scientific articles was carried out, including the published in peer-reviewed journals indexed in Pubmed, WoS, Scopus and RSCI. The review covers 49 articles considering new technologies that make possible the personalized medicine possible, new experience, modes of verification and application of individualized medications as well as potential means of treating people with fertility problems and infertility.The individualization of medical practice in particular cases is probably inevitable all the more the individual approach to patient becomes more effective and cost-effective. The accessibility of modern biomedical technologies, emergence of wireless monitoring devices allows to implement “personalized” approach to early, subclinical diagnostic, individualization of treatment in order to obtain maximal efficiency and minimal toxicity of therapy, prevention of relapse of disease and its prevention. The technology of cell avatars will permit to prognose development of diseases and, possibly, life expectancy too. The personalized approach in reproductology based on genetic research will permit to eliminate a number of hereditary, orphan diseases in XXI century the same way as studies in immunology and development of vaccines made it possible to eliminate black smallpox in XX century.Conclusion. The future challenges consist not only in looking for new manifold modes of characterizing patient, but also in personalization of therapy, development of individual medication and disease prevention schemes. It is presumably that applying more relevant models based on human cell cultures will allow not only to study pharmacodynamics of medications, but also to implement personalized selection of medication therapy, considering nature of disease and comorbid background of patient.</abstract><kwd-group xml:lang="en"><kwd>personalized medicine</kwd><kwd>review</kwd><kwd>biomarkers</kwd><kwd>patient</kwd><kwd>monitoring</kwd><kwd>genomics</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>персонифицированная медицина</kwd><kwd>обзор</kwd><kwd>биомаркеры</kwd><kwd>мониторинг пациентов</kwd><kwd>геномик</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Schork N. J. Time for one-person trials. Personal. Med. 2015;520(7549):609-11.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Lillie E. O., Patay B., Diamant J., Issell B., Topol E. J., Schork N. J. The n-of-1 clinical trial: the ultimate strategy for individualizing medicine? Personal. Med. 2011;8(2):161-73.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Duan N., Kravitz R. L., Schmid C. H. Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research. J. Clin. Epidemiol. 2013;66(8 Suppl):S21-8.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Scuffham P. A., Nikles J., Mitchell G. K., Yelland M. J., Vine N., Poulos C. J., Pillans P. I., Bashford G., del Mar C., Schluter P. J., Glasziou P. Using N-of-1 trials to improve patient management and save costs. J. Gen.Intern. Med. 2010;25(9):906-13.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Daza E. J. Causal analysis of self-tracked time series data using a counterfactual framework for N-of-1 trials. Methods Inf. Med. 2018;57(1):e10-e21.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Swan M. The quantified self: fundamental disruption in big data science and biological discovery. Big Data. 2018;1(2):85-99.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Biankin A. V., Piantadosi S., Hollingsworth S. J. Patient-centric trials for therapeutic development in precision oncology. Nature. 2015;526(7573):361-70.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Simon R., Roychowdhury S. Implementing personalized cancer genomics in clinical trials. Nat. Rev. Drug Discov. 2013;12(5):358-69.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Chen Y., Elenee Argentinis J. D., Weber G. IBM Watson: How cognitive computing can be applied to big data challenges in life sciences research. Clin. Ther. 2016;38(4):688-701.</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Klasnja P., Hekler E. B., Shiffman S., Boruvka A., Almirall D., Tewari A., Murphy S. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015;34S:1220-8.</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Laber E. B., Lizotte D. J., Qian M., Pelham W. E., Murphy S. A. Dynamic treatment regimens: technical challenges and applications. Electron. J. Stat. 2014;8(1):1225-72.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Chakraborty B., Murphy S. A. Dynamic Treatment Regimes. Ann. Rev. Stat. Appl. 2014;1:447-64.</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Takahashi K., Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell. 2006;126(4):663-76.</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Beltrao-Braga P. C., Pignatari G. C., Russo F. B., Fernandes I. R., Muotri A. R. In-a-dish: induced pluripotent stem cells as a novel model for human diseases. Part A. J.Int. Soc. Analyt. Cytol. 2013;83(1):11-7.</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Sayed N., Liu C., Wu J. C. Translation of human-induced pluripotent stem cells: from clinical trial in a dish to precision medicine. J. Am. Coll. Cardiol. 2016;67(18):2161-76.</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Wu J., Izpisua Belmonte J. C. Stem Cells: A renaissance in human biology research. Cell. 2016;165(7):1572-85.</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Uppada V., Gokara M., Rasineni G. K. Diagnosis and therapy with CRISPR advanced CRISPR based tools for point of care diagnostics and early therapies. Gene. 2018 May 20;656:22-9.</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Ho B. X., Pek N. M. Q., Soh B. S. Disease modeling using 3D organoids derived from human induced pluripotent stem cells.Int. J. Mol. Sci. 2018 Mar 21;19(4):936.</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Aboulkheyr Es. H., Montazeri L., Aref A. R., Vosough M., Baharvand H. Personalized cancer medicine: an organoid approach. Trends Biotechnol. 2018;36(4):358-71.</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Crystal A. S., Shaw A. T., Sequist L. V., Friboulet L., Niederst M. J., Lockerman E. L., Frias R. L., Gainor J. F., Amzallag A., Greninger P., Lee D., Kalsy A., Gomez-Garaballo M., Elamine L., Howe E., Hur W., Lifshits E., Robinson H. E., Katayama R., Faber A. C., Award M. M., Ramaswamy S., Mino-Kenudson M., Iafrate A. J., Benes C. H., Engelman J. A. Patient-derived models of acquired resistance can identify effective drug combinations for cancer. Science. 2014;346(6216):1480-6.</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Jonas O., Landry H. M., Fuller J. E., Santini J. T. Jr, Baselga J., Tepper R. I. An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors. Sci. Transl. Med. 2015;7(284):284ra57.</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Klinghoffer R. A., Bahrami S. B., Hatton B. A., Frazier J. P., Moreno-Gonzalez A., Strand A. D., Kerwin W. S., Casalini J. R., Thirstrup D. J., You S., Morris S. M., Watts K. L., Veiseh M., Grenley M. O., Trtyak I., Dey J., Carleton M., Beirne E., Pedro K. D., Ditzler S. H., Girard E. J., Deckwerth T. L., Bertout J. A., Meleo K. A., Filvaroff E. H., Chopra R., Press O. W., Olson J. M. A technology platform to assess multiple cancer agents simultaneously within a patient's tumor. Sci. Transl. Med. 2015;7(284):284ra58.</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Robinton D. A., Daley G. Q. The promise of induced pluripotent stem cells in research and therapy. Nature. 2012;481(7381):295-30.</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Appelboom G., Camacho E., Abraham M. E., Bruce S. S., Dumont E. L., Zacharia B. E. Smart wearable body sensors for patient self-assessment and monitoring. Arch. Pub. Health. 2014;72(1):28.</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Swan M. The quantified self: fundamental disruption in big data science and biological discovery. Big Data. 2013;1(2):85-99.</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Schork N. J., Nazor K.Integrated genomic medicine: a paradigm for rare diseases and beyond. Adv. Genet. 2017;97:81-113.</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Worthey E. A., Mayer A. N., Syverson G. D., Helbling D., Bonacci B. B., Decker B., Serpe J. M. Making a definitive diagnosis: successful clinical application of whole exome sequencing in a child with intractable inflammatory bowel disease. J. Med. Genet. 2011;13(3):255-62.</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Bainbridge M. N., Wiszniewski W., Murdock D. R., Friedman J., Gonzaga-Jauregui C., Newsham I. Whole-genome sequencing for optimized patient management. Sci. Transl. Med. 2011;3(87):87re3.</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>O’Rawe J. A., Fang H., Rynearson S., Robison R., Kiruluta E. S., Higgins G.Integrating precision medicine in the study and clinical treatment of a severely mentally ill person. Peer J. 2013;1:e177.</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Chen Y. Z., Friedman J. R., Chen D. H., Chan G. C., Bloss C. S., Hisama F. M. Gain-of-function ADCY5 mutations in familial dyskinesia with facial myokymia. Ann. Neurol. 2014;75(4):542-9.</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Wartman L. D. A case of me: clinical cancer sequencing and the future of precision medicine. Cold Spring Harbour Mol. Case Stud. 2015;1(1): a000349.</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Chen R., Mias G. I., Li-Pook-Than J., Jiang L., Lam H. Y., Chen R., Miriami E. Personal omics profiling reveals dynamic molecular and medical phenotypes. Ann. Neurol. 2012;148(6):1293-307.</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Smarr L. Quantifying your body: a how-to guide from a systems biology perspective. J. Biotechnol. 2012;7(8):980-91.</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>David L. A., Materna A. C., Friedman J., Campos-Baptista M. I., Blackburn M. C., Perrotta A., Erdman S. E., Alm E. J. Host lifestyle affects human microbiota on daily timescales. Genome Biol. 2014;15(7):R89.</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Forsdyke D. R. Summertime dosage-dependent hypersensitivity to an angiotensin II receptor blocker. Biomed Res. 2015;8:227. doi: 10.7287/peerj.preprints.144v2</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Trammell S. A., Schmidt M. S., Weidemann B. J., Redpath P., Jaksch F., Dellinger R. W. Nicotinamide riboside is uniquely and orally bioavailable in mice and humans. Nat.Commun. 2016;7:12948.</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Schork N. J. Genetic parts to a preventive medicine whole. Genome Med. 2013;5(6):54.</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation>Patel C. J., Sivadas A., Tabassum R., Preeprem T., Zhao J., Arafat D. Whole genome sequencing in support of wellness and health maintenance. Genome Med. 2013;5(6):58.</mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>Sverdlov O., van Dam J., Hannesdottir K., Thornton-Wells T. Digital Therapeutics: An Integral Component of Digital Innovation in Drug Development. Clin. Pharmacol. Ther. 2018 Jul;104(1):72-80.</mixed-citation></ref><ref id="B40"><label>40.</label><mixed-citation>Kaner E. F., Beyer F. R., Garnett C., Crane D., Brown J., Muirhead C. Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations. Cochrane Database Syst. Rev. 2017 Sep 25;9(9):CD011479.</mixed-citation></ref><ref id="B41"><label>41.</label><mixed-citation>Iacoviello B. M., Steinerman J. R., Klein D. B., Silver T. L., Berger A. G., Luo S. X. Clickotine, A Personalized Smartphone App for Smoking Cessation: Initial Evaluation. J. Med.Internet Res. 2017;5(4):e56.</mixed-citation></ref><ref id="B42"><label>42.</label><mixed-citation>Jungheim E. S., Carson K. R. Leveraging real-world data to move toward more personalized fertility treatment. Fertil. Steril. 2018;109(4):608-9.</mixed-citation></ref><ref id="B43"><label>43.</label><mixed-citation>Van Dijk M. R., Koster M. P. H., Willemsen S. P., Huijgen N. A., Laven J. S. E., Steegers-Theunissen R. P. M. Healthy preconception nutrition and lifestyle using personalized mobile health coaching is associated with enhanced pregnancy chance. Reproduct. Biomed. 2017;35(4):453-60.</mixed-citation></ref><ref id="B44"><label>44.</label><mixed-citation>Yurttas Beim P., Parfitt D. E., Tan L., Sugarman E. A., Hu-Seliger T., Clementi C. At the dawn of personalized reproductive medicine: opportunities and challenges with incorporating multigene panel testing into fertility care. J. Assist. Reproduct. Genet. 2017;34(12):1573-6.</mixed-citation></ref><ref id="B45"><label>45.</label><mixed-citation>DeAngelis A. M., Roy-O’Reilly M., Rodriguez A. Genetic alterations affecting cholesterol metabolism and human fertility. Biol. Reproduct. 2014;91(5):117.</mixed-citation></ref><ref id="B46"><label>46.</label><mixed-citation>Jungheim E. S., Meyer M. F., Broughton D. E. Best practices for controlled ovarian stimulation in in vitro fertilization. Semin. Reproduct. Med. 2015;33(2):77-82.</mixed-citation></ref><ref id="B47"><label>47.</label><mixed-citation>Tao T., Del Valle A. Human oocyte and ovarian tissue cryopreservation and its application. J. Assist. Reproduct. Genet. 2008;25(7):287-96.</mixed-citation></ref><ref id="B48"><label>48.</label><mixed-citation>Geel T. M., Ruiters M. H. J, Cool R. H., Halby L., Voshart D. C., Andrade Ruiz L. The past and presence of gene targeting: from chemicals and DNA via proteins to RNA. Philos. Transact. Royal Soc. B: Biol. Sci. 2018;373(1748):20170077.</mixed-citation></ref><ref id="B49"><label>49.</label><mixed-citation>Nagamatsu G., Hayashi K. Stem cells, in vitro gametogenesis and male fertility. Reproduction. 2017;154(6):F79-F91.</mixed-citation></ref></ref-list></back></article>
