Metabolic profiling of body fluids and multivariate data analysis

Abstract

Metabolome analyses of body fluids are challenging due pre-analytical variations, such as pre-processing delay and temperature, and constant dynamical changes of biochemical processes within the samples. Therefore, proper sample handling starting from the time of collection up to the analysis is crucial to obtain high quality samples and reproducible results. A metabolomics analysis is divided into 4 main steps: 1) Sample collection, 2) Metabolite extraction, 3) Data acquisition and 4) Data analysis. Here, we describe a protocol for gas chromatography coupled to mass spectrometry (GC–MS) based metabolic analysis for biological matrices, especially body fluids. This protocol can be applied on blood serum/plasma, saliva and cerebrospinal fluid (CSF) samples of humans and other vertebrates. It covers sample collection, sample pre-processing, metabolite extraction, GC–MS measurement and guidelines for the subsequent data analysis. Advantages of this protocol include: • Robust and reproducible metabolomics results, taking into account pre-analytical variations that may occur during the sampling process • Small sample volume required • Rapid and cost-effective processing of biological samples • Logistic regression based determination of biomarker signatures for in-depth data analysis

Keywords

• Metabolic profiling of body fluids and multivariate data analysis