Analytical and computational workflow for in-depth analysis of oxidized complex lipids in blood plasma

Oxidized lipids are prominent bioactive agents, and yet their molecular repertoire remains largely unknown. Here, the authors apply bioinformatics and LC-MS/MS to uncover the diversity and specificity of modified lipids in human blood plasma of lean and obese individuals. Lipids are a structurally diverse class of biomolecules which can undergo a variety of chemical modifications. Among them, lipid (per)oxidation attracts most of the attention due to its significance in the regulation of inflammation, cell proliferation and death programs. Despite their apparent regulatory significance, the molecular repertoire of oxidized lipids remains largely elusive as accurate annotation of lipid modifications is complicated by their low abundance and often unknown, biological context-dependent structural diversity. Here, we provide a workflow based on the combination of bioinformatics and LC-MS/MS technologies to support identification and relative quantification of oxidized complex lipids in a modification type- and position-specific manner. The developed methodology is used to identify epilipidomics signatures of lean and obese individuals with and without type 2 diabetes. The characteristic signature of lipid modifications in lean individuals, dominated by the presence of modified octadecanoid acyl chains in phospho- and neutral lipids, is drastically shifted towards lipid peroxidation-driven accumulation of oxidized eicosanoids, suggesting significant alteration of endocrine signalling by oxidized lipids in metabolic disorders.

Automated summary

This study utilizes bioinformatics and LC-MS/MS technologies to uncover the diversity and specificity of modified lipids in human blood plasma of lean and obese individuals, revealing the significant alteration of endocrine signaling by oxidized lipids in metabolic disorders.