Univerzita Pardubice Fakulta chemicko- technologická

Univerzita Pardubice

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Publikace detail

Lipidomic comparison of exosomes and human plasma by mass spectrometry

Autoři: Peterka Ondřej | Chocholoušková Michaela | Jirásko Robert | Wolrab Denise | Hájek Roman | Kuchař Ladislav | Holčapek Michal

Rok: 2019

Druh publikace: ostatní - přednáška nebo poster

Strana od-do: nestránkováno

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
eng	Lipidomic comparison of exosomes and human plasma by mass spectrometry	Exosomes are nano-particles including mainly DNA, RNA, lipids, and proteins and can be isolated from biofluids or other biological samples. Lipidomics is a subgroup of metabolomics aimed at the analysis of lipid species. Lipids play important roles in cells and have various biological functions as energy storage or precursors for metabolic processes. Mass spectrometry (MS) is a main technique for the lipid analysis and connection with separation methods enable the identification and quantification of large number of lipids from various lipid categories. Ultrahigh-performance supercritical fluid chromatography (UPHSFC) and ultrahigh-performance liquid chromatography (UHPLC) with sub-2 µm particles columns enable high separation efficiency and short analysis time. Matrix-assisted laser desorption/ionization (MALDI) Orbitrap-MS used the high mass accuracy, high resolution, and MS/MS spectra allow the identification of overlapping lipids. Exosomes were isolated from human plasma by commercial kit (Invitrogen), and the total lipid extracts were prepared by modified Folch procedure. Human plasma and exosomes of healthy volunteers were used for the lipidomic comparison. We quantified more than 100 lipid species by UHPSFC/MS and UHPLC/MS and more than 50 lipid species by MALDI-MS. The main differences of exosomes and plasma composition were observed for triacylglycerols, phosphatidylcholines, and lysophosphatidylcholines. The software Simca 13.0.3 (Umetrics) was used for the multivariate data analysis. Statistical projection methods, e.g., PCA, OPLS-DA, S-plot, and box plots, were used for the visualization of results.