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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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">farmaec</journal-id><journal-title-group><journal-title xml:lang="en">FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology</journal-title><trans-title-group xml:lang="ru"><trans-title>ФАРМАКОЭКОНОМИКА. Современная фармакоэкономика и фармакоэпидемиология</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2070-4909</issn><issn pub-type="epub">2070-4933</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17749/2070-4909/farmakoekonomika.2020.049</article-id><article-id custom-type="elpub" pub-id-type="custom">farmaec-420</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="en"><subject>ORIGINAL ARTICLES</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ ПУБЛИКАЦИИ</subject></subj-group></article-categories><title-group><article-title>Chemomicrobiomic analysis of glucosamine sulfate, prebiotics and non-steroidal anti-inflammatory drugs</article-title><trans-title-group xml:lang="ru"><trans-title>Хемомикробиомный анализ глюкозамина сульфата, пребиотиков и нестероидных противовоспалительных препаратов</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><bio xml:lang="ru"><p>Громова Ольга Алексеевна – д.м.н., профессор, в.н.с., научный руководитель Института фармакоинформатики; в.н.с., Author ID: 94901, Scopus Author ID: 7003589812, WoS ResearcherID: J-4946-2017, РИНЦ SPIN-код: 6317-9833, ул. Вавилова, д. 44, корп. 2, Москва 119333, Россия; Ленинские горы, д. 1, Москва 119991, Россия</p></bio><bio xml:lang="en"><p>Olga A. Gromova – MD, Dr Sci Med, Professor, Senior Researcher, Scientific Director of the Federal Research Center “Informatics and Management”, Russian Academy of Sciences; Leading Researcher, Center for Big Data Analysis, Author ID: 94901, Scopus Author ID: 7003589812, WoS ResearcherID: J-4946-2017, RSCI SPIN-code: 6317-9833, 34A Kashirskoye Shosse, Moscow 115522, Russia; 1 Leninskie gory, Moscow 119991, Russia</p></bio><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><bio xml:lang="ru"><p>Торшин Иван Юрьевич – к.ф-м.н., к.х.н., с.н.с., Институт фармакоинформатики, Scopus Author ID: 7003300274, Author ID: 54104; WoS ResearcherID: C-7683-2018, РИНЦ SPIN-код: 1375-1114, ул. Вавилова, д. 44, корп. 2, Москва 119333, Россия;  Ленинские горы, д. 1, Москва 119991, Россия</p></bio><bio xml:lang="en"><p>Ivan Yu. Torshin – MD, PhD, Senior Researcher, Federal Research Center “Informatics and Management”, Russian Academy of Sciences; Big Data Storage and Analysis Center, Scopus Author ID: 7003300274, Author ID: 54104, WoS ResearcherID: C-7683-2018, RSCI SPIN-code: 1375-1114, 34A Kashirskoye Shosse, Moscow 115522, Russia; 1 Leninskie gory, Moscow 119991, Russia</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/0000-0002-6253-621X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Наумов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Naumov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Наумов Антон Вячеславович – д.м.н., профессор, зав. лабораторией заболеваний костно-мышечной системы, AuthorID 393279, РИНЦ SPIN-код 4763-9738, ул. Островитянова, д. 1, Москва 117997, Россия</p></bio><bio xml:lang="en"><p>Anton V. Naumov – MD, Dr Sci Med, Professor, head of the laboratory of diseases of the musculoskeletal system of the Russian gerontological scientific clinical center, AuthorID 393279, RSCI SPIN-code: 4763-9738, 1 Ostrovityanova Str., Moscow 117997, Russia</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Максимов</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Maksimov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Максимов Валерий Алексеевич – д.м.н., профессор, заслуженный деятель науки Российской Федерации, заслуженный врач Российской Федерации, вице-президент научного общества гастроэнтерологов России, профессор кафедры диетологии и нутрициологии, ул. Баррикадная, д. 2, стр. 1, Москва 123995, Россия</p></bio><bio xml:lang="en"><p>Valery A. Maksimov – MD, Dr Sci Med, Professor, Honored Scientist of the Russian Federation, Honored Doctor of the Russian Federation, Vice President of the Scientific Society of Gastroenterologists of Russia, Professor of the Department of Dietetics and Nutrition, 2-1 Barrikadnaya Str., Moscow 123995, Russia</p></bio><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Федеральный исследовательский центр «Информатика и управление» РАН (ФИЦ ИУ РАН); Центр хранения и анализа больших данных, Федеральное государственное бюджетное образовательное учреждение высшего образования «Московский государственный университет имени М.В. Ломоносова»<country>Россия</country></aff><aff xml:lang="en">V.A. Nasonov Research Institute of Rheumatology; Moscow State University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Федеральное государственное автономное образовательное учреждение высшего образования «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Министерства здравоохранения Российской Федерации<country>Россия</country></aff><aff xml:lang="en">Pirogov Russian National Research Medical University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Федеральное государственное бюджетное образовательное учреждение дополнительного профессионального образования «Российская медицинская академия непрерывного профессионального образования»<country>Россия</country></aff><aff xml:lang="en">Russian Medical Academy of Postgraduate Education<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>17</day><month>11</month><year>2020</year></pub-date><volume>13</volume><issue>3</issue><fpage>270</fpage><lpage>282</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Gromova O.A., Torshin I.Y., Naumov A.V., Maksimov V.A., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Громова О.А., Торшин И.Ю., Наумов А.В., Максимов В.А.</copyright-holder><copyright-holder xml:lang="en">Gromova O.A., Torshin I.Y., Naumov A.V., Maksimov V.A.</copyright-holder><license 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.pharmacoeconomics.ru/jour/article/view/420">https://www.pharmacoeconomics.ru/jour/article/view/420</self-uri><abstract><sec><title>Introduction</title><p>Introduction. The pharmaceutical drugs used in the treatment of osteoarthritis (OA) differ not only in the mechanisms of anti-inflammatory action but also in the effects on the human microbiome.</p></sec><sec><title>Purpose</title><p>Purpose. Evaluation of the influence of some drugs used in the therapy of OA on the human microbiome by the method of chemoinformation analysis.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. Сomparative chemomicrobiome analysis of glucosamine sulfate (GS), diclofenac, acetylsalicylic acid (ASA), and three prebiotics (lactose, lactulose, fructose) as molecules of comparison. For each substance, estimates of the area under the curve (AUC) were obtained for a representative sampling of human microbiota (38 commensal bacteria). The minimum inhibitory concentrations (MIC) were established for more than 120 pathogenic bacteria.</p></sec><sec><title>Results</title><p>Results. On average, according to a representative sampling of microbiota, the profile of the action of GS on the microbiome was almost identical to the profile of the action of lactose (AUC=0.23±0.18). The most effective growth of the microbiome was provided by fructose and lactulose (AUC=0.58±0.21). The effects of diclofenac and ASA on the commensals of microbiome were comparable to the effects of GS (AUC=0.27±0.22). However, the analysis of the obtained MIC values for pathogenic bacteria showed that diclofenac supported the growth of the pathogenic flora (MIC=35±1.4 μg/ml) to a greater extent than GS (MIC=16±1.5 μg/ml) and ASA (MIC=23±2.2 μg/ml).</p></sec><sec><title>Conclusion</title><p>Conclusion. The effects of GS on the microbiome are comparable to the effects of the prebiotic lactose whereas the inhibitory effect of GS and ASA on pathogenic bacteria is more pronounced than that of diclofenac. The inhibition of pathogenic bacteria by the GS helps to reduce inflammation. </p></sec></abstract><trans-abstract xml:lang="ru"><sec><title>Введение</title><p>Введение. Фармацевтические препараты, используемые в терапии остеоартрита (ОА), отличаются не только по механизмам противовоспалительного действия, но и различным воздействием на микробиом человека.</p></sec><sec><title>Цель</title><p>Цель. Оценка воздействия на микробиом ряда препаратов, используемых в терапии ОА методом хемоинформационного анализа.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Сравнительный хемомикробиомный анализ глюкозамина сульфата (ГС), диклофенака, ацетилсалициловой кислоты (АСК) и трех пребиотиков как молекул сравнения (лактозы, лактулозы, фруктозы). Для каждого из веществ получены оценки значений площади под кривой роста (AUC) для репрезентативной выборки микробиоты человека (38 бактерий-комменсалов). Также выполнено определение их минимальных ингибирующих концентраций (MIC) для более чем 120 болезнетворных бактерий.</p></sec><sec><title>Результаты</title><p>Результаты. В среднем по репрезентативной выборке микробиоты профиль действия ГС на микробиом был практически идентичен профилю действия лактозы (AUC=0,23±0,18). Наиболее эффективно рост микробиома поддерживался фруктозой и лактулозой (AUC=0,58±0,21). Эффекты диклофенака и АСК на микробиом были сопоставимы с эффектами ГС (AUC=0,27±0,22). Однако анализ полученных значений MIC для болезнетворных микроорганизмов показал, что диклофенак в большей степени поддерживал рост патогенной флоры (MIC=35±1,4 мкг/мл), чем ГС (MIC=16±1,5 мкг/мл) и АСК (MIC=23±2,2 мкг/мл).</p></sec><sec><title>Заключение</title><p>Заключение. Эффекты ГС на микробиом сравнимы с эффектами пребиотика лактозы, а ингибирующее воздействие ГС и АСК на болезнетворные бактерии более выражено, чем у диклофенака. Ингибирование болезнетворных бактерий микробиома молекулой ГС способствует снижению воспаления. </p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>пребиотические эффекты</kwd><kwd>микробиом человека</kwd><kwd>площадь под кривой роста</kwd><kwd>хемоинформатика</kwd><kwd>анализа ≪больших данных≫</kwd><kwd>глюкозамина сульфат</kwd><kwd>Сустагард Артро</kwd></kwd-group><kwd-group xml:lang="en"><kwd>prebiotic effects</kwd><kwd>human microbiome</kwd><kwd>area under the growth curve</kwd><kwd>chemoinformatics</kwd><kwd>big data analysis</kwd><kwd>glucosamine sulfate</kwd><kwd>Sustagard Arthro</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Работа выполнена при поддержке гранта РФФИ 18-07-00929.</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The study was supported by the grant provided by the Russian Foundation for Basic Research 18-07-00929.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Liu J., Lahousse L., Nivard M.G., Bot M., Chen L., van Klinken J.B., Thesing C.S., Beekman M., van den Akker E.B., Slieker R.C., Waterham E., van der Kallen C.J.H., de Boer I., Li-Gao R., Vojinovic D., Amin N., Radjabzadeh D., Kraaij R., Alferink L.J.M., Murad S.D., Uitterlinden A.G., Willemsen G., Pool R., Milaneschi Y., van Heemst D., Suchiman H.E.D., Rutters F., Elders P.J.M., Beulens J.W.J., van der Heijden A.A.W.A., van Greevenbroek M.M.J., Arts I.C.W., Onderwater G.L.J., van den Maagdenberg A.M.J.M., Mook-Kanamori D.O., Hankemeier T., Terwindt G.M., Stehouwer C.D.A., Geleijnse J.M., 't Hart L.M., Slagboom P.E., van Dijk K.W., Zhernakova A., Fu J., Penninx B.W.J.H., Boomsma D.I., Demirkan A., Stricker B.H.C., van Duijn C.M. 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