References

nogr

Экспериментальная и клиническая гастроэнтерология

Experimental and Clinical Gastroenterology

1682-8658

«Global Media Technologies»

10.31146/1682-8658-ecg-225-5-12-25

nogr-2666

Research Article

КЛИНИЧЕСКАЯ ГАСТРОЭНТЕРОЛОГИЯ

CLINICAL GASTROENTEROLOGY

Методы машинного обучения и анализа больших данных для установления молекулярных механизмов воздействия рацетамов на метаболизм жировой ткани

Methods of machine learning and big data analysis to establish the molecular mechanisms of the effects of racetams on the metabolism of adipose tissue

https://orcid.org/0000-0002-2659-7998

Торшин

И. Ю.

Torshin

I. Yu.

noemail@neicon.ru

https://orcid.org/0000-0002-7663-710X

Громова

О. А.

Gromova

O. A.

unesco.gromova@gmail.com

https://orcid.org/0000-0001-8736-5851

Лазебник

Л. Б.

Lazebnik

L. B.

noemail@neicon.ru

Федеральный исследовательский центр «Информатика и управление» Российской академии наукРоссияFederal Research Center “Informatics and Management” of the Russian Academy of SciencesRussian Federation

Федеральное государственное бюджетное образовательное учреждение высшего образования «Московский государственный медико-стоматологический университет имени А. И. Евдокимова» Министерства здравоохранения Российской ФедерацииРоссияMoscow State University of Medicine and Density n. a. A. I. EvdokimovRussian Federation

2024

18052024

051225

2024

Торшин И.Ю., Громова О.А., Лазебник Л.Б.

Torshin I.Y., Gromova O.A., Lazebnik L.B.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://www.nogr.org/jour/article/view/2666

Рацетамы проявляют не только ноотропные эффекты, но и влияют на обмен жиров и углеводов. Экспериментальные исследования указали на возможность применения 4-фенилпирацетама (син. фантурацетам) в терапии ожирения, хотя молекулярные механизмы этого фармакологического эффекта неизвестны. В работе представлены результаты нового подхода к т. н. искусственному интеллекту (машинному обучению): сравнительного хемореактомного анализа 4-фенилпирацетама, пирацетама, анирацетама, прамирацетама и леветирацетама. Анализ позволил сравнить нейропротекторные эффекты молекул на нейроны в культуре. Несмотря на схожесть профилей протеомных взаимодействий исследованных молекул, дифференциальный анализ позволил установить молекулярные механизмы воздействия 4-фенилпирацетама на снижение массы тела. 4-фенилпирацетам может активировать β3-адреноцепторы, рецепторы аденозина, глюкагоноподобного пептида, сфингозинфосфата и пролифераторов пероксисом (PPARG); специфически ингибировать каннабиоидные, опиоидные, гистаминовые, глутаматные, ноцицептиновые, нейропептида Y и орексиновые рецепторы, что важно для нормализации аппетита и оздоровления метаболизма жировой ткани. Фармакоинформационный анализ указал на целесообразность совместного приема 4-фенилпирацетама с витаминами С, D и группы В.

Racetams exhibit not only nootropic effects, but also affect the metabolism of fats and carbohydrates. Experimental studies have indicated the possibility of using phenylpiracetam in the treatment of obesity. At the same time, the molecular mechanisms of this pharmacological effect of phenylpiracetam are practically unknown. The paper presents the results of a new artificial intelligence (AI) method for comparative chemoreactome analysis of fonturacetam, piracetam, aniracetam, pramiracetam and levetiracetam. Another AI method, chemoneurocytological analysis, made it possible to compare the neuroprotective effects of molecules on neurons in culture. Despite the similarity of the proteomic interaction profiles of the studied molecules, differential analysis made it possible to establish the molecular mechanisms of the effect of phenylpiracetam on weight loss. Phenylpiracetam can activate β3-adrenoceptors, adenosine, glucagon-like peptide, sphingosine phosphate, and peroxisome proliferator receptors (PPARG); specifically inhibit cannabinoid, opioid, histamine, glutamate, nociceptin, neuropeptide Y and orexin receptors, which is important for normalizing appetite and improving the metabolism of adipose tissue. The synthetic AI method - pharmacoinformatic analysis indicated the advisability of taking phenylpiracetam together with vitamins C, D and group B.

ожирениеноотропы4-фенилпирацетамфармакоинформатика

obesitynootropicsphenylpiracetampharmacoinformatics

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The authors declare that there are no conflicts of interest present.