Comprehensive metabolite quantitative assay based on alternate metabolomics and lipidomics analyses

化学 代谢组学 色谱法 代谢组 脂质体 代谢物 脂类学 选择性反应监测 液相色谱-质谱法中的离子抑制 分析物 质谱法 液相色谱-质谱法 生物化学 串联质谱法
作者
Wangjie Lv,Zhongda Zeng,Yuqing Zhang,Qingqing Wang,Lichao Wang,Zhaoxuan Zhang,Xianzhe Shi,Xinjie Zhao,Guowang Xu
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1215: 339979-339979 被引量:13
标识
DOI:10.1016/j.aca.2022.339979
摘要

Metabolomics-based precision medicine is facing several obstacles including cross-platform data comparison issue and the lack of metabolome benchmark values of healthy population, one of main reasons is the shortage of comprehensive metabolome quantitation methods. Here, we developed an alternate reversed-phase liquid chromatography-mass spectrometry (RPLC-MS) method to quantitatively determine metabolites and lipids. Assisted by a wide set of reference standards and real samples, up to 397 multiple reaction monitoring (MRM) transitions (239 for positive and 158 for negative ion modes) and 1080 MRM transitions (607 for positive and 473 for negative ion modes) were defined respectively in the metabolomic and lipidomic analyses with more than 1000 metabolites and lipids being quantified. Among them, 144 analytes including amines, amino acids, benzenoids, peptides, nucleobases and related, bile acids, carboxylic acids, fatty acids, hormones, indoles and others were absolutely quantified, while carnitines, lyso-phosphatidylcholines, lyso-phosphatidylethanolamines, free fatty acids, sphingomyelins, phosphatidylcholines (PCs), alkyl and alkenyl substituted PCs, phosphatidylethanolamines (PEs), alkyl and alkenyl substituted PEs and triacylglycerols were semiquantified. The developed method was validated to have good analytical characteristics. Analytical results of standard reference material 1950 human plasma had a good agreement with literature data. As a proof of application, this method was used to study serum metabolic pattern changes of patients with hyperuricemia and nonalcoholic fatty liver. This alternate RPLC-MS method for quantitative metabolites and lipids analysis can further be used to provide technology and large-scale data support for precision medicine and life sciences.
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