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Chemoselective Metabolomics via a Modular Reactivity-Encoding Platform

Journal 2026 · IF 14.1 · 发表于 2026 年 7 月 17 日
作者: Xin Tao,Cang-Man Zhang,Ru-Jie Yang,Min Ren,Zhuo-Ling Zhong,Kang-Hui Wang,Rui-Xue Hu,Jia-Yue Liu,Jun-Yi Zhou,Hou-Kai Li,Jian-Bo Wan
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摘要

Understanding disease-associated metabolic reprogramming requires comprehensive interrogation of the chemically diverse metabolome. However, conventional liquid chromatography-mass spectrometry (LC-MS) workflows analyze metabolites in a largely non-discriminatory manner, resulting in systematic underrepresentation of specific functional and reactivity classes due to heterogeneous ionization efficiencies and matrix interference. Here, we report a chemoselective metabolomics strategy based on a modular reactivity-encoding platform (MREP) that enables functional group-resolved stratification of complex metabolomes. Four orthogonally designed alkyne-tagged probes selectively derivatize carboxyl, carbonyl, amine, and thiol functionalities under compatible conditions. The encoded metabolites are subsequently immobilized via azide-alkyne cycloaddition onto a unified solid-phase capture resin, which simultaneously removes matrix components and installs a diagnostic reporter module. This integrated encoding-capture architecture achieves high reaction orthogonality, near-quantitative conversion, and robust quantitative performance across structurally diverse metabolites. The resulting triazole derivatives exhibit markedly enhanced ionization efficiencies and generate a universal reporter-ion, enabling confident submetabolome classification and reconstruction. Application to serum and liver tissues from mice substantially expands the detectable chemical space, yielding 7 208 features and 1 573 annotated metabolites across four functional group-defined layers. Collectively, this work establishes the MREP framework as a versatile platform for reactivity-resolved interrogation of complex small-molecule systems.

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