Univerzita PardubiceFakulta chemicko- technologická

Univerzita Pardubice

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Publikace detail

Comprehensive analysis of lipids in samples of CVD patients

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 analysis of lipids in samples of CVD patients	Lipids include diverse range of compounds like fatty acids and their derivatives, cholesterol, bile acids etc. Generally, lipids are divided according their polarity on polar and nonpolar lipids. Lipids play a key role in human metabolism. They serve as source of energy, building blocks of cell membrane, hormones etc. Due to their important role in human organism their dysregulation or unbalance could be reason of origin or development of some pathological state like cardiovascular diseases (CVD), cancer and Alzheimer disease. CVD are the one of the leading cause of mortality in developing world. They include heart disease, strokes, rheumatic heart disease, cardiomyopathy and other heart disease. The clinical manifestations of CVD are heart attack, strokes and gangrene of extremities. The major risk factors that have a high prevalence are age, gender, hypertension, smoking, physical inactivity, diabetes and high level of circulating lipids. Through the key role of lipids in human metabolism, fast method for lipid analysis is crucial. Lipids were analysed using HILIC-UHPLC/ESI-MS, NP-UHPLC/APCI-MS, MALDI-MS and GC/FID. The comprehensive lipidomic profiles of CVD patients and healthy volunteers were obtained and evaluated using statistical software Simca. The most important lipid molecules, which contribute to separation healthy group vs. group of CVD patients in score plot graph, were identified. The main goal of our study is find potential differences between CVD patients and healthy volunteers and contribute to earlier diagnostic or treatment of CVD. Acknowledgement This work was supported by the grant project No. 206/11/0022 (Czech Science Foundation).