分析化学2025，Vol.53Issue(8)：1311-1319,中插23-中插87,74.DOI:10.19756/j.issn.0253-3820.251137
基于质谱的定量代谢组学分析揭示心肌梗死大鼠的代谢特征
Mass Spectrometry-based Quantitative Metabolomics Analysis for Uncovering Metabolic Features in Myocardial Infarction Rats
摘要
Abstract
A quantitative analytical method was established for 275 kinds of metabolites in plasma based on ultra-high performance liquid chromatography-triple quadrupole mass spectrometry/multiple reaction monitoring-selected ion monitoring(UHPLC-QQQ-MS/MRM-SIM)technique.Based on UHPLC-high resolution(HRMS)/full MS-parallel reaction monitoring(PRM)technique,165 kinds of lipid metabolites in plasma were qualitatively identified and quantitatively detected to address the analytical challenges of lipid isomers.This quantitative metabolomics approach was successfully applied to a rat myocardial infarction study,identifying and quantifying 372 kinds of metabolites in total.Comparative analysis with the sham-operated group revealed significant alterations in 59 kinds of plasma metabolites in myocardial infarction rats.Key metabolic pathways,which included amino acid metabolism(alanine,aspartate,and glutamate metabolism;glycine,serine,and threonine metabolism,etc.),one-carbon unit metabolism,and tricarboxylic acid cycle,were significantly disrupted.关键词
超高效液相色谱-质谱联用技术/代谢组学/脂质组学/心肌梗死Key words
Ultra-high performance liquid chromatography-mass spectrometry/Metabolomics/Lipidomics/Myocardial infarction引用本文复制引用
余丹阳,夏子淋,王娜,吴昊,易伦朝..基于质谱的定量代谢组学分析揭示心肌梗死大鼠的代谢特征[J].分析化学,2025,53(8):1311-1319,中插23-中插87,74.基金项目
国家自然科学基金项目(No.22174057)和云南省高层次科技人才和创新团队专项项目(No.202405AS350005)资助. Supported by the National Natural Science Foundation of China(No.22174057)and the Yunnan High-level Science and Technology Talent and Innovation Team Project(No.202405AS350005). （No.22174057）
