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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">nogr</journal-id><journal-title-group><journal-title xml:lang="ru">Экспериментальная и клиническая гастроэнтерология</journal-title><trans-title-group xml:lang="en"><trans-title>Experimental and Clinical Gastroenterology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1682-8658</issn><publisher><publisher-name>«Global Media Technologies»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31146/1682-8658-ecg-220-12-68-76</article-id><article-id custom-type="elpub" pub-id-type="custom">nogr-2653</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>МИКРОБИОТА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MICROBIOTA</subject></subj-group></article-categories><title-group><article-title>Хемомикробиомное исследование преобиотических и антибиотических свойств биофлавоноидов и полифенолов, перспективных для лечения COVID-19 и других вирусных инфекций</article-title><trans-title-group xml:lang="en"><trans-title>Chemomicrobiome study of preobiotic and antibiotic properties of bioflavonoids and polyphenols, promising for the treatment of COVID-19 and other viral infections</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7663-710X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Громова</surname><given-names>О. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gromova</surname><given-names>O. A.</given-names></name></name-alternatives><email xlink:type="simple">unesco.gromova@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2659-7998</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Торшин</surname><given-names>И. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Torshin</surname><given-names>I. Yu.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.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/0000-0002-5070-5450</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чучалин</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Chuchalin</surname><given-names>A. G.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный исследовательский центр «Информатика и управление» Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>FRC “Computer Science and Control” RAS</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский национальный исследовательский медицинский университет им. Н. И. Пирогова» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>FGAOU HE Russian National Research Medical University named after N.N. N. I. Pirogov» of the Ministry of Health of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>18</day><month>12</month><year>2023</year></pub-date><volume>0</volume><issue>12</issue><fpage>68</fpage><lpage>76</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Громова О.А., Торшин И.Ю., Чучалин А.Г., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Громова О.А., Торшин И.Ю., Чучалин А.Г.</copyright-holder><copyright-holder xml:lang="en">Gromova O.A., Torshin I.Y., Chuchalin A.G.</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.nogr.org/jour/article/view/2653">https://www.nogr.org/jour/article/view/2653</self-uri><abstract><p>При исследовании молекул перспективных лекарств для терапии COVID-19 важно оценивать их пребиотические и антибиотические свойства, т. е. воздействие на рост полезной и патогенной микробиоты. В настоящем исследовании получены результаты хемомикробиомного анализа 5 биофлаваноидов (гесперидин, лейкодельфинидин, рутин, кверцетин, байкалин), 2 полифенолов (куркумин, эпигаллокатехина галлат) и синергидных им веществ (сапонина глицирризина и алкалоида пиперина) для 38 бактерий-комменсалов человека и для 152 штаммов патогенных микроорганизмов. Исследованные молекулы существенно поддерживали рост полезной микробиоты: для каждой из молекул значения AUC составили 0.67..0.79 у. е. (в среднем по выборке 38 комменсалов) и отличались хорошими оценками безопасности. Наибольший вклад в поддержку полезной микробиоты вносили рутин и глицирризин (AUC 0.78±0.14 у. е.), наименьший - байкалин (AUC 0.66±0.24 у. е.). Установлено синергидное взаимодействие между исследованными веществами: при совместном применении 9 веществ среднее значение AUC может возрастать до 0.84±0.06 у. е. Нормобиотой наиболее активно перерабатывается глицирризин (19.2±12.1%), наименее активно - пиперин (6.0±5.9%). Наиболее активными метаболизаторами исследованных веществ являлись бактерии рода Bacteroides (более 30%), наименее активными - бактерии рода Collinsella (&lt;1%). Результаты хемомикробиомного анализа исследованных молекул у добровольцев с различными профилями микробиома подтвердили, что исследованные вещества не способствуют росту патогенной флоры. Исследованные вещества могут тормозить рост патогенных Acinetobacter baumannii, Candida albicans, Candida glabrata, Cryptococcus neoformans, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphlococcus aureus, Staphylococcus epidermidis, Streptococcus pneumoniae, Streptococcus pyogenes (значения MIC порядка 10-25 мкг/мл).</p></abstract><trans-abstract xml:lang="en"><p>When studying molecules of promising drugs for COVID-19 therapy, it is important to evaluate their prebiotic and antibiotic properties, i. e. impact on the growth of beneficial and pathogenic microbiota. In the present study, the results of chemomicrobiome analysis of 5 bioflavonoids (hesperidin, leukodelphinidin, rutin, quercetin, baicalin), 2 polyphenols (curcumin, epigallocatechin gallate) and their synergistic substances (glycyrrhizin saponin and piperine alkaloid) were obtained for 38 human commensal bacteria and 152 strains. pathogenic microorganisms. The studied molecules significantly supported the growth of beneficial microbiota: for each of the molecules, the AUC values were 0.67..0.79 c. u. (average for a sample of 38 commensals) and had good safety ratings. The greatest contribution to the support of beneficial microbiota was made by rutin and glycyrrhizin (AUC 0.78±0.14 a. u.), the smallest contribution was made by baicalin (AUC 0.66±0.24 a. u.). A synergistic interaction between the studied substances was established: with the combined use of 9 substances, the average AUC value can increase up to 0.84±0.06 c. u. Normobiota most actively processes glycyrrhizin (19.2±12.1%), the least actively - piperine (6.0±5.9%). The most active metabolizers of the studied substances were bacteria of the genus Bacteroides (more than 30%), the least active were bacteria of the genus Collinsella (&lt;1%). The results of chemomicrobiome analysis of the studied molecules in volunteers with different microbiome profiles confirmed that the studied substances do not contribute to the growth of pathogenic flora. The studied substances can inhibit the growth of pathogenic Acinetobacter baumannii, Candida albicans, Candida glabrata, Cryptococcus neoformans, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphlococcus aureus, Staphylococcus epidermidis, Streptococcus pneumoniae, Streptococcus pyogenes (MIC values of about 10-25 µg/ml).</p></trans-abstract><kwd-group xml:lang="ru"><kwd>биофлаваноиды</kwd><kwd>полифенолы</kwd><kwd>коронавирусы</kwd><kwd>Валеоникс</kwd><kwd>микробиота человека</kwd><kwd>площадь под кривой роста</kwd><kwd>хемоинформатика</kwd><kwd>интеллектуальный анализ данных</kwd></kwd-group><kwd-group xml:lang="en"><kwd>bioflavonoids</kwd><kwd>polyphenols</kwd><kwd>coronaviruses</kwd><kwd>Valeonix</kwd><kwd>human microbiota</kwd><kwd>area under the growth curve</kwd><kwd>chemoinformatics</kwd><kwd>data mining</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">Torshin I. 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