farmaecFARMAKOEKONOMIKA. Modern Pharmacoeconomics and PharmacoepidemiologyФАРМАКОЭКОНОМИКА. Современная фармакоэкономика и фармакоэпидемиология2070-49092070-4933IRBIS LLC10.17749/2070-4909/farmakoekonomika.2023.186farmaec-826Research ArticleREVIEW ARTICLESОБЗОРНЫЕ ПУБЛИКАЦИИMolecular pharmacology of coenzyme Q10 in the context of treatment of hyperlipidemic conditionsМолекулярная фармакология коэнзима Q10 в контексте лечения гиперлипидемических состоянийhttps://orcid.org/0000-0002-7663-710XГромоваО. А.GromovaO. A.

Громова Ольга Алексеевна – д.м.н., профессор, ведущий научный сотрудник

ул. Вавилова, д. 4, Москва 211933

WoS ResearcherID: J-4946-2017

Scopus Author ID: 7003589812

Olga A. Gromova – Dr. Med. Sc., Professor, Leading Researcher

4 Vavilov Str., Moscow 211933

WoS ResearcherID: J-4946-2017

Scopus Author ID: 7003589812

unesco.gromova@gmail.comhttps://orcid.org/0000-0002-2659-7998ТоршинИ. Ю.TorshinI. Yu.

Торшин Иван Юрьевич – к.ф-м.н., к.х.н., старший научный сотрудник

ул. Вавилова, д. 4, Москва 211933

WoS ResearcherID: C-7683-2018

Scopus Author ID: 7003300274

Ivan Yu. Torshin – PhD (Phys. Math.), PhD (Chem.), Senior Researcher

4 Vavilov Str., Moscow 211933

WoS ResearcherID: C-7683-2018

Scopus Author ID: 7003300274

Федеральный исследовательский центр «Информатика и управление» Российской академии наукРоссияFederal Research Center “Computer Science and Control”, Russian Academy of SciencesRussian Federation202319072023162345357Copyright © Gromova O.A., Torshin I.Y., 20232023Громова О.А., Торшин И.Ю.Gromova O.A., Torshin I.Y.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.pharmacoeconomics.ru/jour/article/view/826Background

Background. Therapy of hyperlipidemia with synthetic statin drugs is characterized by a number of side effects. In particular, statin-dependent myopathy occurs as a result of statin inhibition of biosynthesis of cofactor coenzyme Q10 (CoQ10), which plays a central role in the electron transport chains during adenosine triphosphate (ATP) synthesis in mitochondria.

Objective

Objective: systematic analysis of scientific publications on CoQ10 pharmacology with an emphasis on its effect on the lipid profile.

Material and methods

Material and methods. The analysis included 16,788 articles found by “coenzyme Q10 OR ubiquinone" query in the PubMed/MEDLINE biomedical publications database. Topological and metric big data analysis methods were used developed in the scientific school of Academician of the Russian Academy of Sciences Yu.I. Zhuravlev.

Results

Results. A much wider range of CoQ10 pharmacological effects was established than simply supporting ATP biosynthesis. Coenzyme Q10 exhibits pronounced lipid-lowering, anti-asthenic, and anti-inflammatory effects and can be successfully used in the treatment of asthenic conditions, cardiovascular pathology (including hyperlipidemia and statin-induced myopathy), carbohydrate metabolism disorders (insulin resistance), and diverse neurological diseases. CoQ10 supplements reduce mortality by 50% in patients with cardiovascular diseases, improve glycemic control in insulin resistance, kidney function, and are useful in the treatment of migraine and neurodegenerative pathologies (Parkinson's disease, etc.).

Conclusion

Conclusion. Experimental data and evidence base indicate the potential of using CoQ10 in patients with hyperlipidemia and other cardiovascular system diseases.

Актуальность

Актуальность. Терапия гиперлипидемии посредством синтетических статиновых препаратов характеризуется рядом побочных эффектов. В частности, статин-зависимая миопатия возникает в результате ингибирования статинами процессов биосинтеза кофактора коэнзим Q10 (англ. coenzyme Q10, CoQ10), играющего центральную роль в цепях переноса электронов при синтезе аденозинтрифосфата (АТФ) в митохондриях.

Цель

Цель: систематический анализ научной литературы по фармакологии коэнзима Q10 с акцентом на его воздействие на липидный профиль.

Материал и методы

Материал и методы. В анализ включено 16 788 статей, найденных по запросу “coenzyme Q10 OR ubiquinone” в базе данных биомедицинских публикаций PubMed/MEDLINE. Использованы методы топологического и метрического анализа больших данных, разрабатываемые в научной школе академика РАН Ю.И. Журавлева.

Результаты

Результаты. Установлен гораздо более широкий диапазон фармакологических эффектов CoQ10, чем просто поддержка биосинтеза АТФ. Коэнзим Q10 оказывает выраженное липидоснижающее, антиастеническое, противовоспалительное действие и может успешно использоваться в терапии астенических состояний, сердечно-сосудистой патологии (в т.ч. гиперлипидемии и миопатии, вызванной статинами), нарушений углеводного обмена (инсулинорезистентность) и множества неврологических заболеваний. Дотации CoQ10 на 50% снижают смертность у пациентов с сердечно-сосудистыми заболеваниями, улучшают гликемический контроль при инсулинорезистентности, функцию почек, полезны в терапии мигрени и нейродегенеративных патологий (болезнь Паркинсона и др.).

Заключение

Заключение. Экспериментальные данные и доказательная база указывают на перспективность использования CoQ10 у пациентов с гиперлипидемией и другими заболеваниями сердечно-сосудистой системы.

гиперлипидемиясердечно-сосудистые заболеваниястатиныкоэнзим Q10CoQ10убихинонсистемная биологияфармакоинформатикаЛактофлорене Холестеролhyperlipidemiacardiovascular diseasesstatinscoenzyme Q10CoQ10ubiquinonesystems biologypharmacoinformaticsLactoflorene CholesterolРасчеты выполнены по государственному заданию № 0063-2019-0003 «Математические методы анализа данных и прогнозирования» с использованием инфраструктуры Центра коллективного пользования «Высокопроизводительные вычисления и большие данные» ФИЦ «Информатика и управление» РАН. В части анализа структур молекул коэнзимов и витаминов работа выполнена по гранту Российского научного фонда № 20-12-00175-п.The calculations were carried out according to the state task No. 0063-2019-0003 “Mathematical methods of data analysis and prognosis” using the infrastructure of the Center for Collective Use “High-Performance Computing and Big Data”, Federal Research Center “Computer Science and Control”, Russian Academy of Sciences. 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The authors declare that there are no conflicts of interest present.