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Comprehensive lipidomic profiles of CVD patients studied by UHPLC/MS and MALDI-MS
Autoři: Červená Blanka | Cífková Eva | Lísa Miroslav | Chagovets Vitaliy Viktorovich | Holčapek Michal | Vostálová Jitka | Galuszka Jan | Hill Martin
Rok: 2014
Druh publikace: ostatní - přednáška nebo poster
Strana od-do: nestránkováno
Tituly:
Jazyk Název Abstrakt Klíčová slova
eng Comprehensive lipidomic profiles of CVD patients studied by UHPLC/MS and MALDI-MS Lipids play a key role in the metabolism of human organism and their dysregulation could lead to onset of cardiovascular diseases (CVD), which are one of the most common causes of mortality in the world. Main risk factors are age, gender, hypertension, smoking, physical inactivity, diabetes, hyperhomocysteinemia, obesity, atherosclerosis and high level of circulating lipids. Polar lipids (phosphatidylcholines, phosphatidylethanolamines, sphingomyelines and lysophosphatidylcholines) were measured using hydrophilic interaction liquid chromatography in ultrahigh-performance liquid chromatography (UHPLC) setup coupled with electrospray ionization mass spectrometry. Normal-phase UHPLC coupled with atmospheric pressure chemical ionization mass spectrometry was used for the identification of nonpolar lipids (cholesteryl esters, cholesterol, triacylglycerols, diacylglycerols and monoacylglycerols). Lipid classes were quantified using methods with a single internal standard and response factors (sphingosyl phosphatidylethanolmine d17:1/12:0 for polar lipids and 1,2-dioleoyl ethylene glycol for nonpolar lipids) [1]. Matrix-assisted laser desorption/ionization mass spectrometry was used for the fast analysis of total lipid extracts of plasma and erythrocytes. No statistically significant differences were observed in the quantity of polar and nonpolar lipid classes probably due to their large biological variability. The orthogonal 2 projection to latent structure (O2PLS) method was used for the determination of 5 groups (healthy, obese and 3 types of CVD). O2PLS was used for the separation of the healthy volunteers group vs. CVD patients group and statistically important compounds were identified. The main aim of our study is to highlight dynamic changes of lipids in CVD and differences between patients and healthy volunteers. Our findings could be useful in future search of lipid biomarkers of CVD and contribute to earlier diagnostic or treatment of CVD. Lipids, cardiovascular diseases