Evaluation and optimization of common lipid extraction methods in cerebrospinal fluid samples

摘要

A typical lipidomics approach aims at the simultaneous analysis of a multitude of lipid species from different lipid classes with highest possible sensitivity for all target lipids. Efficient extraction of lipids from the biological matrix is a crucial step in the analytical workflow. Whereas numerous applications of classical and more recently published extraction methods have been reported for blood serum or plasma samples, very little is known about the applicability of these methods for cerebrospinal fluid (CSF). CSF though represents a highly interesting biofluid for the investigation of neurological disorders, such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis, or brain cancer. Since CSF comprises substantially lower endogenous lipid concentrations compared to serum or plasma, the use of highly efficient extraction methods is of utmost importance. In addition, literature on lipid extraction methods is often inconsistent in terms of methodological parameters like temperature, mixing times, or the number of repeated extraction cycles.