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Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study

The identification of drug metabolites formed with different in vitro systems by HPLC-MS is a standard step in preclinical research. In vitro systems allow modeling of real metabolic pathways of a drug candidate. Despite the emergence of various software and databases, identification of compounds is...

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Autores principales: Tupertsev, Boris, Osipenko, Sergey, Kireev, Albert, Nikolaev, Eugene, Kostyukevich, Yury
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002766/
https://www.ncbi.nlm.nih.gov/pubmed/36902002
http://dx.doi.org/10.3390/ijms24054569
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author Tupertsev, Boris
Osipenko, Sergey
Kireev, Albert
Nikolaev, Eugene
Kostyukevich, Yury
author_facet Tupertsev, Boris
Osipenko, Sergey
Kireev, Albert
Nikolaev, Eugene
Kostyukevich, Yury
author_sort Tupertsev, Boris
collection PubMed
description The identification of drug metabolites formed with different in vitro systems by HPLC-MS is a standard step in preclinical research. In vitro systems allow modeling of real metabolic pathways of a drug candidate. Despite the emergence of various software and databases, identification of compounds is still a complex task. Measurement of the accurate mass, correlation of chromatographic retention times and fragmentation spectra are often insufficient for identification of compounds especially in the absence of reference materials. Metabolites can “slip under the nose”, since it is often not possible to reliably confirm that a signal belongs to a metabolite and not to other compounds in complex systems. Isotope labeling has proved to be a tool that aids in small molecule identification. The introduction of heavy isotopes is done with isotope exchange reactions or with complicated synthetic schemes. Here, we present an approach based on the biocatalytic insertion of oxygen-18 isotope under the action of liver microsomes enzymes in the presence of (18)O(2). Using the local anesthetic bupivacaine as an example, more than 20 previously unknown metabolites were reliably discovered and annotated in the absence of the reference materials. In combination with high-resolution mass spectrometry and modern methods of mass spectrometric metabolism data processing, we demonstrated the ability of the proposed approach to increase the degree of confidence in interpretating metabolism data.
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spelling pubmed-100027662023-03-11 Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study Tupertsev, Boris Osipenko, Sergey Kireev, Albert Nikolaev, Eugene Kostyukevich, Yury Int J Mol Sci Article The identification of drug metabolites formed with different in vitro systems by HPLC-MS is a standard step in preclinical research. In vitro systems allow modeling of real metabolic pathways of a drug candidate. Despite the emergence of various software and databases, identification of compounds is still a complex task. Measurement of the accurate mass, correlation of chromatographic retention times and fragmentation spectra are often insufficient for identification of compounds especially in the absence of reference materials. Metabolites can “slip under the nose”, since it is often not possible to reliably confirm that a signal belongs to a metabolite and not to other compounds in complex systems. Isotope labeling has proved to be a tool that aids in small molecule identification. The introduction of heavy isotopes is done with isotope exchange reactions or with complicated synthetic schemes. Here, we present an approach based on the biocatalytic insertion of oxygen-18 isotope under the action of liver microsomes enzymes in the presence of (18)O(2). Using the local anesthetic bupivacaine as an example, more than 20 previously unknown metabolites were reliably discovered and annotated in the absence of the reference materials. In combination with high-resolution mass spectrometry and modern methods of mass spectrometric metabolism data processing, we demonstrated the ability of the proposed approach to increase the degree of confidence in interpretating metabolism data. MDPI 2023-02-26 /pmc/articles/PMC10002766/ /pubmed/36902002 http://dx.doi.org/10.3390/ijms24054569 Text en © 2023 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
Tupertsev, Boris
Osipenko, Sergey
Kireev, Albert
Nikolaev, Eugene
Kostyukevich, Yury
Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title_full Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title_fullStr Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title_full_unstemmed Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title_short Simple In Vitro (18)O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study
title_sort simple in vitro (18)o labeling for improved mass spectrometry-based drug metabolites identification: deep drug metabolism study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002766/
https://www.ncbi.nlm.nih.gov/pubmed/36902002
http://dx.doi.org/10.3390/ijms24054569
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