For the analysis of xenobiotic metabolism, metabolites are commonly qualified by high-resolution mass spectrometry such as orbitrap or time-of-flight mass spectrometers, and quantified by triple-quadrupole (QQQ) mass spectrometer based multiple reaction monitoring. While this workflow shows drawback in the difficulty for instrumental parameters transfer, and QQQ provides less specificity. In this work, we constructed a high-resolution MS/MS (HR-MS/MS) based strategy to improve the discovery and quantification of unknown xenobiotic metabolites by metabolic pathway extension (MPE) searching combined with parallel reaction monitoring (PRM). Taking the flavonoid metabolism in diabetes wound S9 incubates as a test case. Firstly, MPE approach was used to screen all potential metabolites. In this step, an m/z value library of all theoretic flavonoid metabolites were constructed based on predefined flavonoid structures through 21 common xenobiotic metabolic reactions, and this library was matched with all features extracted from raw data (MS1 scan) of flavonoid-S9 co-incubate, then the matched features were exported into target list for MS2 fragmentation for structure validation. Secondly, the metabolites were relatively quantified by PRM mode based on their characteristic product ions. As a result, 131 metabolites of 9 different kinds of flavonoids in the skin and muscle were identified. To our best knowledge, this is the first report on the metabolism of flavonoids in the skin or muscle tissue. The results also validated the proposed HR-MS/MS-based strategy provided high specificity throughout both discovery and quantitation process of unknown xenobiotic metabolites without need of instrumental parameter transfer.
Keywords: Flavonoid; High-resolution MS/MS; Metabolomic pathway extension; Parallel reaction monitoring; Xenobiotic metabolites.
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