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Oxygen Isotope Exchange Reaction for Untargeted LC–MS Analysis

  • Sergey Osipenko
    Sergey Osipenko
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
  • Alexander Zherebker
    Alexander Zherebker
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
  • Lidiia Rumiantseva
    Lidiia Rumiantseva
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
  • Oxana Kovaleva
    Oxana Kovaleva
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
  • Evgeny N. Nikolaev*
    Evgeny N. Nikolaev
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
    *Email: [email protected]
  • , and 
  • Yury Kostyukevich*
    Yury Kostyukevich
    Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Nobel Str., 3, 121205 Moscow, Russia
    *Email: [email protected]
Cite this: J. Am. Soc. Mass Spectrom. 2022, 33, 2, 390–398
Publication Date (Web):January 25, 2022
https://doi.org/10.1021/jasms.1c00383
Copyright © 2022 American Society for Mass Spectrometry. Published by American Chemical Society. All rights reserved.

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    Abstract

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    LC–MS is a key technique for the identification of small molecules in complex samples. Accurate mass, retention time, and fragmentation spectra from LC–MS experiments are compared to reference values for pure chemical standards. However, this information is often unavailable or insufficient, leading to an assignment to a list of candidates instead of a single hit; therefore, additional features are desired to filter candidates. One such promising feature is the number of specific functional groups of a molecule that can be counted via derivatization or isotope-exchange techniques. Hydrogen/deuterium exchange (HDX) is the most widespread implementation of isotope exchange for mass spectrometry, while oxygen 16O/18O exchange is not applied as frequently as HDX. Nevertheless, it is known that some functional groups may be selectively exchanged in 18O enriched media. Here, we propose an implementation of 16O/18O isotope exchange to highlight various functional groups. We evaluated the possibility of using the number of exchanged oxygen atoms as a descriptor to filter database candidates in untargeted LC–MS-based workflows. It was shown that 16O/18O exchange provides 62% (median, n = 45) search space reduction for a panel of drug molecules. Additionally, it was demonstrated that studying the fragmentation spectra after 16O/18O can aid in eliminating false positives and, in some cases, help to annotate fragments formed with water traces in the collisional cell.

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jasms.1c00383.

    • 16O/18O exchange of a set of chemical compounds at various conditions and examples of using the web application (PDF)

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    Cited By

    This article is cited by 4 publications.

    1. Yury Kostyukevich, Sergey Sosnin, Sergey Osipenko, Oxana Kovaleva, Lidiia Rumiantseva, Albert Kireev, Alexander Zherebker, Maxim Fedorov, Evgeny N. Nikolaev. PyFragMS─A Web Tool for the Investigation of the Collision-Induced Fragmentation Pathways. ACS Omega 2022, 7 (11) , 9710-9719. https://doi.org/10.1021/acsomega.1c07272
    2. Kong Ling-Fei, Chen Yu-Nan, Yan Pan, Qin Tuo, Wang Xin-Tang, Li Rui-Qi, Rong Xiao-Juan, Tie Cai. 16O/18O- exchange internal standard preparation enhancing reliability of bio-sample natural bioactive compounds absolute quantitation. Journal of Chromatography B 2023, 1219 , 123651. https://doi.org/10.1016/j.jchromb.2023.123651
    3. Boris Tupertsev, Sergey Osipenko, Albert Kireev, Eugene Nikolaev, Yury Kostyukevich. Simple In Vitro 18O Labeling for Improved Mass Spectrometry-Based Drug Metabolites Identification: Deep Drug Metabolism Study. International Journal of Molecular Sciences 2023, 24 (5) , 4569. https://doi.org/10.3390/ijms24054569
    4. Lidiia Rumiantseva, Sergey Osipenko, Artem Zharikov, Albert Kireev, Evgeny N. Nikolaev, Yury Kostyukevich. Analysis of 16O/18O and H/D Exchange Reactions between Carbohydrates and Heavy Water Using High-Resolution Mass Spectrometry. International Journal of Molecular Sciences 2022, 23 (7) , 3585. https://doi.org/10.3390/ijms23073585

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