Comprehensive Profiling of Amine-Containing Metabolite Isomers with Chiral Phosphorus Reagents

化学 代谢物 代谢组学 胺气处理 杂环胺 试剂 结构异构体 氨基酸 对映体 质谱法 组合化学 立体化学 色谱法 生物化学 有机化学
作者
Xingxing Liu,Yifan Wu,Lei Guo,Xiaoyu Wang,Changkai Shan,Yaru Liu,Han‐Xiang An,Xinmei Kang,Rong Ding,Zongwei Cai,Jiyang Dong,Yufen Zhao,Xiang Gao
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (46): 16830-16839 被引量:3
标识
DOI:10.1021/acs.analchem.3c02325
摘要

Metabolite isomers play diverse and crucial roles in various metabolic processes. However, in untargeted metabolomics analysis, it remains a great challenge to distinguish between the constitutional isomers and enantiomers of amine-containing metabolites due to their similar chemical structures and physicochemical properties. In this work, the triplex stable isotope N-phosphoryl amino acids labeling (SIPAL) is developed to identify and relatively quantify the amine-containing metabolites and their isomers by using chiral phosphorus reagents coupled with high-resolution tandem mass spectroscopy. The constitutional isomers could be effectively distinguished with stereo isomers by using the diagnosis ions in MS/MS spectra. The in-house software MS-Isomerism has been parallelly developed for high-throughput screening and quantification. The proposed strategy enables the unbiased detection and relative quantification of isomers of amine-containing metabolites. Based on the characteristic triplet peaks with SIPAL tags, a total of 854 feature peaks with 154 isomer groups are successfully recognized as amine-containing metabolites in liver cells, in which 37 amine-containing metabolites, including amino acids, polyamines, and small peptides, are found to be significantly different between liver cancer cells and normal cells. Notably, it is the first time to identify S-acetyl-glutathione as an endogenous metabolite in liver cells. The SIPAL strategy could provide spectacular insight into the chemical structures and biological functions of the fascinating amine-containing metabolite isomers. The feasibility of SIPAL in isomeric metabolomics analysis may reach a deeper understanding of the mirror-chemistry in life and further advance the discovery of novel biomarkers for disease diagnosis.
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