Evidence map›Paper›PMID 34445727›Full record

ArticleInternational journal of molecular sciences2021

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

Daria A Belinskaia, Elena I Savelieva, Georgy V Karakashev, Olga I Orlova, Mikhail A Leninskii, Nataliia S Khlebnikova, Natalia N Shestakova, Alexandra R Kiskina

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Daria A BelinskaiaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Elena I SavelievaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.ORCID 0000-0002-3115-9626
Georgy V KarakashevSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Olga I OrlovaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Mikhail A LeninskiiSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.ORCID 0000-0002-2240-9400
Nataliia S KhlebnikovaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Natalia N ShestakovaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Alexandra R KiskinaSechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, Pr. Torez 44, 194223 St. Petersburg, Russia.
Institute of Evolutionary Physiology and Biochemistry · RU

Funding

State assignment AAAA-A18-118012290142-9
6 · The paper itself

Abstract

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.

Indexed as

AnimalsBenzimidazolesBiotransformationChromatography, LiquidComputer SimulationMass SpectrometryMolecular Docking SimulationRatsbemethylBenzimidazoles2-(ethylthio)benzimidazoleactoprotectorbemethyldopingglutathione S-transferasein silico metabolism predictionLC–MS/HRMSmetabolitemolecular dockingrat urine

Identifiers

PMID34445727
PMCPMC8396642
OpenAlexW3196075805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.