Abstract
Many human diseases, including obesity, diabetes and atherosclerosis, are accompanied by chronic inflammation and closely connected to oxidative stress (OS). OS can oxidize virtually all biomolecules of which lipids represent one of the most prominent targets. Lipid peroxidation products (LPPs) are chemically diverse group of biomolecules with a variety of functional activities. Many LPPs were shown to play an important role in the onset and development of OS-related diseases and can serve as diagnostic and prognostic biomarkers. To address the variety of LPPs in biological samples we developed LC-MS based oxLipidomics analytical platform which allows us to target up to six different LPP classes (oxidized, nitrated fatty acids, oxysterols, electrophilic aldehydes, head group modified and oxidized PLs). To facilitate high-throughput workflows several software tools were developed for lipid (LipidHunter) and LPP (LPPtiger) identification. Finally, experimental and publicly available information on oxidized lipids is integrated via knowledge-based database LPPdb. oxLipidomics platform was cross-validated using cellular models of oxidative stress (e.g. primary cardiomyocytes) and clinical samples (blood plasma and adipose tissue) from patients with obesity and type II diabetes.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call