Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China.
Department of Cardiology, Yunnan First People's Hospital, Kunming 650032, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2021 Apr 15;1169:122603. doi: 10.1016/j.jchromb.2021.122603. Epub 2021 Feb 23.
Coronary heart disease (CHD) has a high mortality worldwide. This study aimed to screen lipid metabolism biomarkers in patients with coronary heart disease via ultra-performance liquid chromatography-high resolution mass spectrometry. Extraction and reconstitution solvents, liquid chromatographic and mass spectrometry conditions were optimized to detect more plasma lipid metabolites. In this study, the chromatographic and mass spectra characteristics of lipid metabolites were summarized. A total of 316 lipid metabolites were annotated via diagnostic fragment ion filtration, nitrogen rule filtration, and neutral loss filtration. Glycerophospholipid metabolism and sphingolipid metabolism were revealed as the main lipid disorders of CHD. This study provides a novel insight for high-throughput detection of lipid metabolites in plasma and provides a further understanding of the occurrence of CHD, which can provide valuable suggestions for the prevention of CHD.
冠心病(CHD)在全球范围内死亡率较高。本研究旨在通过超高效液相色谱-高分辨率质谱筛选冠心病患者的脂质代谢生物标志物。通过优化提取和重溶溶剂、液相色谱和质谱条件,以检测更多的血浆脂质代谢物。在本研究中,总结了脂质代谢物的色谱和质谱特征。通过诊断片段离子过滤、氮规则过滤和中性丢失过滤,注释了 316 种脂质代谢物。甘油磷脂代谢和鞘脂代谢被揭示为 CHD 的主要脂质代谢紊乱。本研究为血浆中脂质代谢物的高通量检测提供了新的视角,并进一步了解 CHD 的发生,为 CHD 的预防提供了有价值的建议。