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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">ilvm</journal-id><journal-title-group><journal-title xml:lang="ru">Нормативно-правовое регулирование в ветеринарии</journal-title><trans-title-group xml:lang="en"><trans-title>Legal regulation in veterinary medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-6252</issn><publisher><publisher-name>SpbGUVM Publishing House</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.52419/issn2782-6252.2022.1.64</article-id><article-id custom-type="elpub" pub-id-type="custom">ilvm-316</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>ФАРМАКОЛОГИЯ, ТОКСИКОЛОГИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PHARMACOLOGY, TOXICOLOGY</subject></subj-group></article-categories><title-group><article-title>Возможности прогностической токсикологии в оценке потенциальной гапатотоксичности лекарственных веществ</article-title><trans-title-group xml:lang="en"><trans-title>Possibilities of predictive toxicology in assessing the potential hepatotoxicity of medicinal substances</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6852-3110</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Понамарёв</surname><given-names>В. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Ponamarev</surname><given-names>V. S.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4480-9488</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лунегов</surname><given-names>А. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Lunegov</surname><given-names>A. M.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Санкт-Петербургский государственный университет ветеринарной медицины»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>St. Petersburg State University of Veterinary Medicine</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>18</day><month>04</month><year>2022</year></pub-date><volume>0</volume><issue>1</issue><fpage>64</fpage><lpage>67</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Понамарёв В.С., Лунегов А.М., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Понамарёв В.С., Лунегов А.М.</copyright-holder><copyright-holder xml:lang="en">Ponamarev V.S., Lunegov A.M.</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://ilvm.elpub.ru/jour/article/view/316">https://ilvm.elpub.ru/jour/article/view/316</self-uri><abstract><p>В настоящее время одним из «золотых» стандартов определения потенциальной токсичности лекарственных препаратов является высокоинформативный превентивный скрининг (HCS). Данный метод стал мощным инструментом для оценки молекулярной, клеточной и тканевой токсичности, особенно в области прогностической токсикологии, направленный на прогнозирование нежелательных, связанных с применением лекарственных веществ. Для фармацевтической промышленности крайне важно выявлять и впоследствии снижать потенциальные риски для безопасности на ранних стадиях процесса НИОКР и, таким образом, снижать токсичность и связанное с безопасностью сокращение программ разработки лекарств.В данной статье мы рассмотрим некоторые из наиболее распространенных использовали анализы HCS для прогностической токсикологии в фармацевтической промышленности.Был проведён поиск оригинальных исследований в научных базах PubMed, Elsevier Science (Scopus) и Clarivate Analytics (Web of Science) для определения отличительных признаков методологии HCS.Гепатотоксичность является одной из наиболее частых причин снижения количества потенциальных лекарств, связанных с безопасностью и токсичностью, в фармацевтической промышленности, а также изъятия из продажи лекарств.Гепатотоксические вещества связаны с ксенобиотиками, лекарствами, веществами природного происхождения и химическими агентами, составляющими важную причину гепатического действия. Единая классификация, основанная на механизмах токсичности, позволяет различать внутреннюю гепатотоксичность (предварительная и дозозависимая) и идиосинкразическую гепатотоксичность (невидимую, не опосредованную иммунные реакции и метаболические реакции).Анализы HCS не предназначены для замены испытаний на животных, поскольку они не могут охватить всю сложность организма. Тем не менее, они могут сократить количество испытаний на животных за счет раннего выявления опасностей и служить дополнением к испытаниям на животных. Благодаря раннему выявлению рисков безопасности и оптимизации химических рядов по соответствующим конечным точкам безопасности анализы HCS для прогностической токсикологии обещают повысить успешный выбор новых лекарств-кандидатов с удовлетворительными токсикологическими свойствами.</p></abstract><trans-abstract xml:lang="en"><p>Currently, one of the "gold" standards for determining the potential toxicity of drugs is highly informative preventive screening (HCS). This method has become a powerful tool for the evaluation of molecular, cellular and tissue toxicity, especially in the field of predictive toxicology, aimed at predicting unwanted drug-related substances. It is critical for the pharmaceutical industry to identify and subsequently mitigate potential safety risks early in the R&amp;D process and thus reduce toxicity and the safety-related shrinkage of drug development programs. In this article, we review some of the most common used HCS assays for predictive toxicology in the pharmaceutical industry. PubMed, Elsevier Science (Scopus), and Clarivate Analytics (Web of Science) research databases were searched for original research to identify the hallmarks of the HCS methodology. Hepatotoxicity is one of the most common causes of safety and toxicity related downsizing of potential drugs in the pharmaceutical industry, as well as drug withdrawals. Hepatotoxic substances are associated with xenobiotics, drugs, substances of natural origin and chemical agents that constitute an important cause of hepatic action. A single classification based on the mechanisms of toxicity makes it possible to distinguish between intrinsic hepatotoxicity (preliminary and dose-dependent) and idiosyncratic hepatotoxicity (invisible, non-mediated immune and metabolic reactions). HCS analyzes are not intended to replace animal testing because they cannot capture the full complexity of an organism. However, they can reduce the amount of animal testing by early detection of hazards and complement animal testing. Through early identification of safety risks and optimization of chemistry series across relevant safety endpoints, HCS assays for predictive toxicology hold the promise of enhancing the successful selection of new drug candidates with satisfactory toxicological properties.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>токсикология</kwd><kwd>HCS</kwd><kwd>потенциальные риски гепатотоксичности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>toxicology</kwd><kwd>HCS</kwd><kwd>potential risks of hepatotoxicity</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">An in silico model for predicting drug-induced hepatotoxicity / S. He, T. Ye, R. 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Музалевская, В. А. Николаевский, Ю. Н. Чернов; заявитель федеральное государственное бюджетное учреждение высшего профессионального образования "Воронежский государственный университет" (ФГБУ ВПО ВГУ).</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
