<?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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Russian Clinical Laboratory Diagnostics</journal-id><journal-title-group><journal-title xml:lang="en">Russian Clinical Laboratory Diagnostics</journal-title><trans-title-group xml:lang="ru"><trans-title>Клиническая лабораторная диагностика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-2084</issn><issn publication-format="electronic">2412-1320</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">653968</article-id><article-id pub-id-type="doi">10.17816/cld653968</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Reviews</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Обзоры</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">High-tech biotechnologies in clinical laboratory diagnostics</article-title><trans-title-group xml:lang="ru"><trans-title>Наукоёмкие биотехнологии в клинической лабораторной диагностике</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-1761-1518</contrib-id><name-alternatives><name xml:lang="en"><surname>Yarovaya</surname><given-names>Galina A.</given-names></name><name xml:lang="ru"><surname>Яровая</surname><given-names>Галина Алексеевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Dr. Sci. (Biology), Professor</p></bio><bio xml:lang="ru"><p>д-р биол. наук, профессор</p></bio><email>galina.yarovaya.31@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8665-9129</contrib-id><contrib-id contrib-id-type="spin">4547-5317</contrib-id><name-alternatives><name xml:lang="en"><surname>Metelskaya</surname><given-names>Victoria A.</given-names></name><name xml:lang="ru"><surname>Метельская</surname><given-names>Виктория Алексеевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Dr. Sci. (Biology), Professor</p></bio><bio xml:lang="ru"><p>д-р биол. наук, профессор</p></bio><email>vmetelskaya@gnicpm.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Russian Medical Academy of Continuous Professional Education</institution></aff><aff><institution xml:lang="ru">Российская медицинская академия непрерывного профессионального образования</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">National Medical Research Center for Therapy and Preventive Medicine</institution></aff><aff><institution xml:lang="ru">Национальный медицинский исследовательский центр терапии и профилактической медицины</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-02-28" publication-format="electronic"><day>28</day><month>02</month><year>2025</year></pub-date><volume>69</volume><issue>10</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>266</fpage><lpage>275</lpage><history><date date-type="received" iso-8601-date="2025-02-05"><day>05</day><month>02</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-02-07"><day>07</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Yarovaya G.A., Metelskaya V.A.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Яровая Г.А., Метельская В.А.</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Yarovaya G.A., Metelskaya V.A.</copyright-holder><copyright-holder xml:lang="ru">Яровая Г.А., Метельская В.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2028-02-28"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://kld-journal.fedlab.ru/0869-2084/article/view/653968">https://kld-journal.fedlab.ru/0869-2084/article/view/653968</self-uri><abstract xml:lang="en"><p>This review presents an analysis of the current literature on the achievements in the development of the latest high-tech biomedical technologies and the prospects for their implementation in the practice of clinical diagnostic laboratories. The publications were searched in the MEDLINE, PubMed, Scopus, Cochrane Library and Google Scholar databases. The advent of high-tech research methods has revolutionized biomedical research. Many of the most promising technologies of personalized medicine are combined within the framework of omix technologies: genomics, transcriptomics, proteomics, metabolomics, lipidomics, etc. The main methods used in clinical diagnostic laboratories for the diagnosis of circulating biomarkers of various diseases are considered. The introduction of high-tech technologies in the activities of clinical diagnostic laboratories will change the approach to medical diagnostics, making it more accurate, faster and personalized. These technologies represent a synthesis of scientific discoveries, engineering solutions and high standards of analytical chemistry. They open up new opportunities for doctors and researchers, offering innovative approaches to the study of biological processes, which leads to an understanding of the molecular and cellular foundations of pathology.</p></abstract><trans-abstract xml:lang="ru"><p>В настоящем обзоре представлен анализ современной литературы, посвящённой достижениям в разработке новейших наукоёмких биомедицинских технологий и перспективам их внедрения в практику работы клинико-диагностических лабораторий. Поиск публикаций проводился в базах данных MEDLINE, PubMed, Scopus, Cochrane Library и Google Scholar. Появление высокотехнологичных методов исследования произвело революцию в медико-биологических исследованиях. Многие наиболее перспективные технологии персонализированной медицины объединяются в рамках омиксных технологий: геномики, транскриптомики, протеомики, метаболомики, липидомики и др. Рассмотрены основные методы, которые используются в клинико-диагностических лабораториях для диагностики циркулирующих биомаркеров различных заболеваний. Внедрение наукоёмких технологий в деятельность клинико-диагностических лабораторий изменит подход к медицинской диагностике, сделает её более точной, быстрой и персонализированной. Эти технологии представляют собой синтез научных открытий, инженерных решений и высоких стандартов аналитической химии. Они открывают новые возможности для врачей и исследователей, предлагая инновационные подходы к изучению биологических процессов, что ведёт к пониманию молекулярных и клеточных основ патологии.</p></trans-abstract><kwd-group xml:lang="en"><kwd>biotechnologies</kwd><kwd>biomedicine</kwd><kwd>clinical laboratory diagnostics</kwd><kwd>omix technologies</kwd><kwd>biobanking</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>биотехнологии</kwd><kwd>биомедицина</kwd><kwd>клиническая лабораторная диагностика</kwd><kwd>омикс-технологии</kwd><kwd>биобанкирование</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Uhlén M, Karlsson MJ, Hober A, et al. The human secretome. Sci Signal. 2019;12(609):eaaz0274. doi: 10.1126/scisignal.aaz0274</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Suhre K, McCarthy MI, Schwenk JM. Genetics meets proteomics: perspectives for large population-based studies. Nat Rev Genet. 2021;22:19–37. doi: 10.1038/s41576-020-0268-2</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Ridker PM. Proteomics for the prediction and prevention of atherosclerotic disease. Eur Heart J. 2022;43(16):1578–1581. doi: 10.1093/eurheartj/ehac036</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Nurk S, Koren S, Rhie A, et al. The complete sequence of a human genome. Science. 2022;376(6588):44–53. doi: 10.1126/science.abj6987</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Green ED, Gunter C, Biesecker LG, et al. Strategic vision for improving human health at The Forefront of Genomics. Nature. 2020;586:683–692. doi: 10.1038/s41586-020-2817-4</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Manolio TA, Rowley R, Williams MS, et al. Opportunities, resources, and techniques for implementing genomics in clinical care. The Lancet. 2019;394(10197):511–520. doi: 10.1016/S0140-6736(19)31140-7</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Mullis KB. The Unusual Origin of the Polymerase Chain Reaction. Sci Am. 1990;262(4):56–61. doi: 10.1038/scientificamerican0490-56</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Markoulatos P, Siafakas N, Moncany M. Multiplex polymerase chain reaction: A practical approach. J. Clin. Lab. Anal. 2002;16:47–51. doi: 10.1002/jcla.2058</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Dar MA, Arafah A, Bhat KA, et al. Multiomics technologies: role in disease biomarker discoveries and therapeutics. Briefings in Functional Genomics. 2023;22(2):76–96. doi: 10.1093/bfgp/elac017</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Cong Y, Endo T. A Quadruple Revolution: Deciphering Biological Complexity with Artificial Intelligence, Multiomics, Precision Medicine, and Planetary Health. OMICS: A Journal of Integrative Biology. 2024;28(6):257–260. doi: 10.1089/omi.2024.0110</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Kruglova NA, Filatov AV. RNA-SEQ in immunology research. Immunologiya. 2017;38(2):112–117. doi: 10.18821/0206-4952-2017-38-2-112-117</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Reuther J, Roy A, Monzon FA. Transcriptome Sequencing (RNA - Seq). Netto G, Kaul K, editors. Genomic Applications in Pathology. Springer, Cham. doi: 10.1007/978-3-319-96830-8_4</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Weber JA, Baxter DH, Zhang S, et al. The MicroRNA Spectrum in 12 Body Fluids. Clinical Chemistry. 2010;56(11):1733–1741. doi: 10.1373/clinchem.2010.147405</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Solayman MHM, Langaee T, Patel A, et al. Identification of Suitable Endogenous Normalizers for qRT-PCR Analysis of Plasma microRNA Expression in Essential Hypertension. Mol Biotechnol. 2016;58:179–187. doi: 10.1007/s12033-015-9912-z</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Mironova OI, Berdysheva MV, Elfimova EM. MicroRNA: a clinician’s view of the state of the problem. Part 2. MicroRNA as a biomarker. Eurasian Heart Journal. 2023;(2):64–71. doi: 10.38109/2225-1685-2023-2-64-71</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Lam MPY, Venkatraman V, Xing Y, et al. Data-Driven Approach to Determine Popular Proteins for Targeted Proteomics Translation of Six Organ Systems. Journal of Proteome Research. 2016;15(11):4126–34. doi: 10.1021/acs.jproteome.6b00095</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Archakov A, Aseev A, Bykov V, et al. Gene-centric view on the human proteome project: the example of the Russian roadmap for chromosome 18. Proteomics. 2011;11(10):1853–1856. doi: 10.1002/pmic.201000540</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Adhikari S, Nice EC, Deutsch EW, et al. A high-stringency blueprint of the human proteome. Nat Commun. 2020;11:5301. doi: 10.1038/s41467-020-19045-9</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Liotta LA, Kohn EC, Petricoin EF. Clinical Proteomics: Personalized Molecular Medicine. JAMA. 2001;286(18):2211–2214. doi: 10.1001/jama.286.18.2211</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Clish CB. Metabolomics: an emerging but powerful tool for precision medicine. Cold Spring Harb Mol Case Stud. 2015;1(1):a000588. doi: 10.1101/mcs.a000588</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Pietzner M, Wheeler E, Carrasco-Zanini J, et al. Synergistic insights into human health from aptamer- and antibody-based proteomic profiling. Nat Commun. 2021;12(1):6822. doi: 10.1038/s41467-021-27164-0</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Ryazantsev DYu, Voronina DV, Zavriev SK. Immuno-PCR: Achievements and Perspectives. Biochemistry (Moscow). 2016;81(13):1754–1770. doi: 10.1134/S0006297916130113</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Gong H, Holcomb I, Ooi A, et al. Simple Method To Prepare Oligonucleotide-Conjugated Antibodies and Its Application in Multiplex Protein Detection in Single Cells. Bioconjugate Chem. 2016;27(1):217–225. doi: 10.1021/acs.bioconjchem.5b00613</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Cui M, Cheng C, Zhang L. High-throughput proteomics: a methodological mini-review. Lab Invest. 2022;102(11):1170–1181. doi: 10.1038/s41374-022-00830-7</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Metelskaya VA. Serum proteomic analysis: role in the search for biomarkers of atherosclerosis. Russian Journal of Preventive Medicine. 2022;25(12):135–143. doi: 10.17116/profmed202225121135</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Omenn GS, Lane L, Overall CM, et al. The 2023 Report on the Proteome from the HUPO Human Proteome Project. J Proteome Res. 2024;23(2):532–549. doi: 10.1021/acs.jproteome.3c00591</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Wang BH, Reisman S, Bailey M, et al. Peptidomic profiles of post myocardial infarction rats affinity depleted plasma using matrix-assisted laser desorption/ionization time of flight (MALDI-ToF) mass spectrometry. Clin Transl Med. 2012;1(1):11. doi. 10.1186/2001-1326-1-11</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Wilhelm M, Schlegl J, Hahne H, et al. Mass-spectrometry-based draft of the human proteome. Nature. 2014;509:582–587. doi: 10.1038/nature13319</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Gupta S, Manubhai KP, Kulkarni V, Srivastava S. An overview of innovations and industrial solutions in Protein Microarray Technology. Proteomics. 2016;16(8):1297–1308. doi: 10.1002/pmic.201500429</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Gryadunov D, Shaskolsky B, Nasedkina T, et al. The EIMB Hydrogel Microarray Technology: Thirty Years Later. Acta Naturae. 2018;10(4):4–18. (In Russ.) EDN: SVXDEU</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Krassowski M, Das V, Sahu SK, Misra BB. State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing. Front Genet. 2020;1:610798. doi: 10.3389/fgene.2020.610798</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Kozlakidis Z, Seiler C, Simeon-Dubach D. ISBER Best Practices Fourth Edition: A Success Story. Biopreserv Biobank. 2018;16(3):242–243. doi: 10.1089/bio.2018.29040.zjk</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Meshkov AN, Glotov AS, Anisimov SV, editors. Biobanking. National Guide. Triumph Publishing House; 2022. (In Russ.)</mixed-citation></ref></ref-list></back></article>
