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Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods

Bemethyl is an actoprotector, an antihypoxant, and a moderate psychostimulant. Even though the therapeutic effectiveness of bemethyl is well documented, there is a gap in knowledge regarding its metabolic products and their quantitative and qualitative characteristics. Since 2018, bemethyl is includ...

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Autores principales: Belinskaia, Daria A., Savelieva, Elena I., Karakashev, Georgy V., Orlova, Olga I., Leninskii, Mikhail A., Khlebnikova, Nataliia S., Shestakova, Natalia N., Kiskina, Alexandra R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396642/
https://www.ncbi.nlm.nih.gov/pubmed/34445727
http://dx.doi.org/10.3390/ijms22169021
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author Belinskaia, Daria A.
Savelieva, Elena I.
Karakashev, Georgy V.
Orlova, Olga I.
Leninskii, Mikhail A.
Khlebnikova, Nataliia S.
Shestakova, Natalia N.
Kiskina, Alexandra R.
author_facet Belinskaia, Daria A.
Savelieva, Elena I.
Karakashev, Georgy V.
Orlova, Olga I.
Leninskii, Mikhail A.
Khlebnikova, Nataliia S.
Shestakova, Natalia N.
Kiskina, Alexandra R.
author_sort Belinskaia, Daria A.
collection PubMed
description Bemethyl is an actoprotector, an antihypoxant, and a moderate psychostimulant. Even though the therapeutic effectiveness of bemethyl is well documented, there is a gap in knowledge regarding its metabolic products and their quantitative and qualitative characteristics. Since 2018, bemethyl is included to the Monitoring Program of the World Anti-Doping Agency, which highlights the challenge of identifying its urinary metabolites. The objective of the study was to investigate the biotransformation pathways of bemethyl using a combination of liquid chromatography-high-resolution mass spectrometry and in silico studies. Metabolites were analyzed in a 24 h rat urine collected after oral administration of bemethyl at a single dose of 330 mg/kg. The urine samples were prepared for analysis by a procedure developed in the present work and analyzed by high performance liquid chromatography–tandem mass spectrometry. For the first time, nine metabolites of bemethyl with six molecular formulas were identified in rat urine. The most abundant metabolite was a benzimidazole–acetylcysteine conjugate; this biotransformation pathway is associated with the detoxification of xenobiotics. The BioTransformer and GLORY computational tools were used to predict bemethyl metabolites in silico. The molecular docking of bemethyl and its derivatives to the binding site of glutathione S-transferase has revealed the mechanism of bemethyl conjugation with glutathione. The findings will help to understand the pharmacokinetics and pharmacodynamics of actoprotectors and to improve antihypoxant and adaptogenic therapy.
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spelling pubmed-83966422021-08-28 Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods Belinskaia, Daria A. Savelieva, Elena I. Karakashev, Georgy V. Orlova, Olga I. Leninskii, Mikhail A. Khlebnikova, Nataliia S. Shestakova, Natalia N. Kiskina, Alexandra R. Int J Mol Sci Article Bemethyl is an actoprotector, an antihypoxant, and a moderate psychostimulant. Even though the therapeutic effectiveness of bemethyl is well documented, there is a gap in knowledge regarding its metabolic products and their quantitative and qualitative characteristics. Since 2018, bemethyl is included to the Monitoring Program of the World Anti-Doping Agency, which highlights the challenge of identifying its urinary metabolites. The objective of the study was to investigate the biotransformation pathways of bemethyl using a combination of liquid chromatography-high-resolution mass spectrometry and in silico studies. Metabolites were analyzed in a 24 h rat urine collected after oral administration of bemethyl at a single dose of 330 mg/kg. The urine samples were prepared for analysis by a procedure developed in the present work and analyzed by high performance liquid chromatography–tandem mass spectrometry. For the first time, nine metabolites of bemethyl with six molecular formulas were identified in rat urine. The most abundant metabolite was a benzimidazole–acetylcysteine conjugate; this biotransformation pathway is associated with the detoxification of xenobiotics. The BioTransformer and GLORY computational tools were used to predict bemethyl metabolites in silico. The molecular docking of bemethyl and its derivatives to the binding site of glutathione S-transferase has revealed the mechanism of bemethyl conjugation with glutathione. The findings will help to understand the pharmacokinetics and pharmacodynamics of actoprotectors and to improve antihypoxant and adaptogenic therapy. MDPI 2021-08-21 /pmc/articles/PMC8396642/ /pubmed/34445727 http://dx.doi.org/10.3390/ijms22169021 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Belinskaia, Daria A.
Savelieva, Elena I.
Karakashev, Georgy V.
Orlova, Olga I.
Leninskii, Mikhail A.
Khlebnikova, Nataliia S.
Shestakova, Natalia N.
Kiskina, Alexandra R.
Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title_full Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title_fullStr Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title_full_unstemmed Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title_short Investigation of Bemethyl Biotransformation Pathways by Combination of LC–MS/HRMS and In Silico Methods
title_sort investigation of bemethyl biotransformation pathways by combination of lc–ms/hrms and in silico methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396642/
https://www.ncbi.nlm.nih.gov/pubmed/34445727
http://dx.doi.org/10.3390/ijms22169021
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