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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">clinmed</journal-id><journal-title-group><journal-title xml:lang="ru">Клиническая медицина</journal-title><trans-title-group xml:lang="en"><trans-title>Clinical Medicine (Russian Journal)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0023-2149</issn><issn pub-type="epub">2412-1339</issn><publisher><publisher-name>ООО «Медицинское информационное агентство»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30629/0023-2149-2024-102-9-10-754-759</article-id><article-id custom-type="elpub" pub-id-type="custom">clinmed-954</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL INVESTIGATIONS</subject></subj-group></article-categories><title-group><article-title>Микро-РНК и толщина эпикардиальной жировой ткани у больных ишемической болезнью сердца со стенозами коронарных артерий</article-title><trans-title-group xml:lang="en"><trans-title>Micro-RNA and the epicardial fat thickness in patients with coronary artery disease with coronary artery stenosis</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4810-4795</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Останина</surname><given-names>Ю. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Ostanina</surname><given-names>Yu. O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Останина Юлия Олеговна — канд. мед. наук, доцент</p><p>Новосибирск</p></bio><bio xml:lang="en"><p>Yuliya O. Ostanina — Candidate of Medical Sciences, Associate Professor</p><p>Novosibirsk</p></bio><email xlink:type="simple">julia679@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4735-5178</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Яхонтов</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Yakhontov</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Яхонтов Давыд Александрович — д-р мед. наук, профессор</p><p>Новосибирск</p></bio><bio xml:lang="en"><p>Davyd A. Yakhontov — Doctor of Medical Sciences, Professor</p><p>Novosibirsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3411-508X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лукинов</surname><given-names>В. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Lukinov</surname><given-names>V. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лукинов Виталий Леонидович — канд. физ.-мат. наук, старший научный сотрудник, зав. лаборатории численного анализа стохастических дифференциальных уравнений</p><p>Новосибирск</p></bio><bio xml:lang="en"><p>Vitaliy L. Lukinov — Candidate of  Sciences (Physics and Mathematics), Senior Researcher, Head of the laboratories for Numerical Analysis of Stochastic Differential Equations</p><p>Novosibirsk</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Новосибирский государственный медицинский университет» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Novosibirsk State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБУН Институт вычислительной математики и математической геофизики Сибирского отделения &#13;
Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>06</day><month>02</month><year>2025</year></pub-date><volume>102</volume><issue>9-10</issue><fpage>754</fpage><lpage>759</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Останина Ю.О., Яхонтов Д.А., Лукинов В.Л., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Останина Ю.О., Яхонтов Д.А., Лукинов В.Л.</copyright-holder><copyright-holder xml:lang="en">Ostanina Y.O., Yakhontov D.A., Lukinov V.L.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.clinmedjournal.com/jour/article/view/954">https://www.clinmedjournal.com/jour/article/view/954</self-uri><abstract><sec><title>Цель</title><p>Цель. Оценить уровень микроРНК (миР) и толщину эпикардиальной жировой ткани (тЭЖТ) у больных ишемической болезнью сердца (ИБС) с пограничными стенозами коронарных артерий (КА).</p></sec><sec><title>Материал и методы</title><p>Материал и методы.  В исследовании участвовал 201 больной стабильной ИБС 1–3 функциональный класс (ФК) с пограничными (50–70%) стенозами КА. Первую группу составили 57 (28,4%) больных с повышенной тЭЖТ, вторую — 144 (71,6%) больных без увеличения тЭЖТ. Проводилась оценка уровня концевого фрагмента предшественника мозгового натрийуретического пептида (NTproBNP)) и уровней миР 21m2, 133a, 208, 499a. Методом ультразвукового исследования сердца определялась тЭЖТ. Всем пациентам проводили коронароангиографию.</p></sec><sec><title>Результаты</title><p>Результаты. Средняя толщина ЭЖТ в 1-й группе составила 6,00 [5,00; 6,50] мм, во 2-й группе — 3,00 [2,30; 4,00] мм (р &lt; 0,001). У больных 1-й группы в более молодом возрасте диагностировали артериальную гипертензию (р &lt; 0,001), ИБС (р &lt; 0.001) в целом и инфаркт миокарда (р = 0,003) в частности. В обеих группах значимо не различались частота ожирения, сахарного диабета 2-го типа, ФК стенокардии, а также частота приема представителей всех четырех основных групп антиишемических препаратов. Выявлен более высокий уровень миР-208 (р = 0,001) и большая частота повышения уровня NTproBNP (р = 0,002) у больных с повышенной тЭЖТ.</p></sec><sec><title>Заключение</title><p>Заключение. Повышенный уровень миР-208, высокая частота повышения NTproBNP и молодой возраст развития сердечно-сосудистых заболеваний у больных стабильной ИБС с пограничными стенозами КА на фоне увеличенной тЭЖТ может быть связан с более тяжелым прогнозом, поскольку отражает активность сердечного ремоделирования.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>Objective: To assess the levels of microRNAs (miRs) and the thickness of epicardial adipose tissue (EAT) in patients with ischemic heart disease (IHD) and borderline coronary artery stenosis (CAS).</p></sec><sec><title>Material and methods</title><p>Material and methods. The study involved 201 patients with stable IHD of functional class (FC) 1–3, having borderline (50–70%) stenoses of the coronary arteries. The first group consisted of 57 (28.4%) patients with increased EAT thickness, while the second group included 144 (71.6%) patients without increased EAT thickness. The levels of the C-terminal fragment of pro-brain natriuretic peptide (NTproBNP) and miR levels (21m2, 133a, 208, 499a) were evaluated. EAT thickness was determined using echocardiography. All patients underwent coronary angiography.</p></sec><sec><title>Results</title><p>Results. The average EAT thickness in the first group was 6.00 [5.00; 6.50] mm, while in the second group it was 3.00 [2.30; 4.00] mm (p &lt; 0.001). Patients in the first group developed arterial hypertension (p &lt; 0.001), IHD (p &lt; 0.001) in general, and myocardial infarction (p = 0.003) at a younger age. There were no significant differences between the groups regarding the prevalence of obesity, type 2 diabetes, angina FC, or the frequency of use of all four main groups of anti-ischemic drugs. A higher level of miR-208 (p = 0.001) and a greater frequency of increased NTproBNP levels (p = 0.002) were found in patients with increased EAT thickness.</p></sec><sec><title>Conclusion</title><p>Conclusion. An elevated level of miR-208, a high frequency of increased NTproBNP, and a younger age at which cardiovascular diseases develop in patients with stable IHD and borderline CAS associated with increased EAT thickness may indicate a poorer prognosis, as they reflect the activity of cardiac remodeling.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>ишемическая болезнь сердца</kwd><kwd>пограничные стенозы коронарных артерий</kwd><kwd>эпикардиальная жировая ткань</kwd><kwd>микроРНК</kwd></kwd-group><kwd-group xml:lang="en"><kwd>ischemic heart disease</kwd><kwd>borderline coronary artery stenosis</kwd><kwd>epicardial adipose tissue</kwd><kwd>microRNA</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou S .S., Jin J.P., Wang J.Q., Zhang Z.G., Freedman J.H., Zheng Y., Cai L. miRNAS in cardiovascular diseases: potential biomarkers, therapeutic targets and challenges. 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