4.7 Article

Stepwise solid phase extraction integrated with chemical derivatization for all-in-one injection LC-MS/MS analysis of metabolome and lipidome

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ANALYTICA CHIMICA ACTA
卷 1241, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.aca.2023.340807

关键词

Chemical derivatization; Solid-phase extraction; Liquid chromatography-tandem mass spec-trometry; Metabolome; Lipidome; Dansyl labeling

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This article introduces a novel method for all-in-one injection LC-MS/MS analysis of serum metabolome and lipidome using stepwise solid-phase extraction and dansyl chemical derivatization. The method significantly improves chromatographic separation, enhances the MS response, and overcomes the matrix effect of co-eluting lipids. A total of 256 lipids and 212 metabolites can be simultaneously measured using this method.
The metabolome and lipidome are critical components in illustrating biological processes and pathological mecha-nisms. Generally, two or more independent methods are required to analyze the two compound panels due to their distinct chemical properties and polarity differences. Here, a novel strategy integrating stepwise solid-phase extraction (SPE) and dansyl chemical derivatization was proposed for all-in-one injection LC-MS/MS analysis of serum metabolome and lipidome. In this workflow, a stepwise elution procedure was firstly optimized to separate the metabolome and lipidome fractions using an Ostro plate. Dansyl chemical derivatization was then applied to label amine/phenol, carboxyl, and carbonyl-containing sub-metabolomes. Our results demonstrated that the dansyl la-beling could significantly improve chromatographic separation, enhance the MS response, and overcome the matrix effect of co-eluting lipids. Ultimately, an all-in-one injection LC-MS/MS method measuring 256 lipids (covering 20 subclasses) and 212 metabolites (including amino acids, bile acids, fatty acids, acylcarnitines, indole derivatives, ketones and aldehydes, nucleic acid metabolism, polyamines, etc.) was established. This method was applied to investigate the metabolic changes in cisplatin-induced nephrotoxicity in rats and the results were compared with previous untargeted metabolomics. The presented strategy could predominantly improve the analytical coverage and throughput and can be of great use in discovering reliable potential biomarkers in various applications.

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