Lipids play a role in a variety of metabolic disorders, inflammatory processes, and signaling pathways that are deemed important to human health. High-throughput screening assays which can be set-up with minimal effort is the goal of the non-lipid expert. However, a major challenge in lipid analysis is the many isobaric interferences present in highly complex samples that confound identification and accurate quantitation. This problem, coupled with complicated sample preparation techniques and data analysis, highlights the need for a complete solution that addresses these difficulties and provides a simplified method for analysis.
A novel lipidomics platform was developed that includes simplified sample preparation, automated methods, and streamlined data processing techniques that enable facile, quantitative lipid analysis and allows targeted profiling of over 1100 lipid molecular species from 13 different lipid classes across complex lipid metabolism. Herein, serum samples were analyzed quantitatively using a unique internal standard labeling protocol, a novel selectivity tool (differential mobility spectrometry; DMS) and novel lipid data analysis software.
In this presentation, I discuss understanding complex lipid metabolism through quantitative lipidomics.