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Fundamental insights into Brønsted acid-induced adduction improve small metabolite profiling in mass spectrometry

  • Wanshan Liu
  • , Wei Chen
  • , Yanyan Li
  • , Shouzhi Yang
  • , Jing Cao
  • , Jiao Wu
  • , Yida Huang
  • , Ruimin Wang
  • , Xiaonan Chen
  • , Lin Huang
  • , Jiayi Wang
  • , Kun Qian*
  • , Jingjing Wan
  • *此作品的通讯作者
  • Shanghai Jiao Tong University
  • East China Normal University

科研成果: 期刊稿件文章同行评审

摘要

Mass spectrometry (MS) is the primary tool to detect small metabolite ions for profiling bio-systems. However, small metabolite profiling in MS still needs to be improved and calls for new rules in ionization. Herein, we studied the Brønsted acid-induced multiple alkali metal cation adductions (BAI-mAMCA) in laser desorption/ionization MS, with annotation of BAI-mAMCA in complex bio-samples and improved profiling of small metabolites. Firstly, we engineered the enhanced mAMCA (relative intensities increased from 0.1–4.6 % to 76.1–89.9 %, p < 0.05) of small metabolites with desirable reproducibility via a nanoparticle-enhanced approach. Subsequently, we revealed the rule of BAI-mAMCA according to the proton dissociation ability of small metabolites qualitatively and quantitatively (|r| = 0.824–0.857), with validation using density functional theory calculation. Finally, we integrated a computational workflow of mAMCA-identity networking to annotate BAI-mAMCA in complex bio-samples and demonstrated excellent diagnostic performance (AUCs = 0.963–0.977) when applied to 300 serum samples from lung adenocarcinoma patients and healthy controls. We also achieved improved label-free quantitation (r2 = 0.989–0.997, p < 0.05) and direct analysis of specific isomers based on the established BAI-mAMCA rules. This work provides both fundamental mechanisms and practical engineering strategies for advancing small metabolite profiling in MS, offering potential for integration into clinical diagnostic platforms.

源语言英语
文章编号163558
期刊Chemical Engineering Journal
515
DOI
出版状态已出版 - 1 7月 2025

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