Abstract

AbstractBackgroundLipid dyshomeostasis is associated with various disorders including Alzheimer’s disease (AD). The work from our laboratory (Su et al, JEV 2021), and others, suggests that extracellular vesicles (EVs) contain lipid biomarkers that could aid in the diagnosis of AD and diseases associated with impaired lipid metabolism.Knowing the lipid content of EVs is a key first step to discovering EV‐based lipid biomarkers in blood. Some studies have reported the lipid content of ‘’EVs’’ in blood. However, used EV isolation techniques that are known to co‐isolate free lipid and lipoproteins.Here we: 1) demonstrate the importance of size exclusion resin size to isolating highly enriched EVs for lipidomic analysis, 2) have developed a reference EV plasma lipidome for the research community and 3) determining if plasma EVs report on lipid dyshomeostasis in Alzheimer’s disease.MethodHuman plasma EVs were isolated using an assortment of commercially available kits or by density fractionation and size exclusion chromatography and characterised by western blot, transmission electron microscopy, and quantitative mass spectrometry based proteomic and lipidome analysis.ResultOf the high‐throughput EV isolation kits tested, the majority were unable to separate lipoproteins from EVs for the purposes of EV lipidomics. We then relied on comparing labor intensive methods (density gradient and size exclusion) to identify a combination of techniques that isolate the analytes of interest, EV proteins and lipids. Quantitative proteome and lipidome analysis strategies are being applied to highly enriched EVs with the goal of providing the reference lipidome of EVs in plasma and in Alzheimer’s disease.ConclusionTo enhance the confidence of EV lipid identification and reveal the lipidome of EVs in plasma, our study compared and identified techniques to enrich EVs and deplete non‐EV associated lipid and protein from human plasma. These findings serve as a reference resource and the foundation for research investigating plasma EV lipids as Alzheimer’s disease biomarkers.

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