Abstract

ABSTRACTComprehensive metabolomic and lipidomic mass spectrometry methods are in increasing demand; for instance, in research related to nutrition and aging. The nematode Caenorhabditis elegans is a key model organism in these fields, owing to the large repository of available C. elegans mutants and their convenient natural lifespan. Here, we describe a robust and sensitive analytical method for the semi-quantitative analysis of >100 polar (metabolomics) and >1000 apolar (lipidomics) metabolites in C. elegans, using a single-sample preparation. Our method is capable of reliably detecting a wide variety of biologically relevant metabolic aberrations in, for example, glycolysis and the tricarboxylic acid cycle, pyrimidine metabolism and complex lipid biosynthesis. In conclusion, we provide a powerful analytical tool that maximizes metabolic data yield from a single sample.This article has an associated First Person interview with the joint first authors of the paper.

Highlights

  • Considerable advances in high-performance liquid chromatography (HPLC), mass spectrometry (MS), nuclear magnetic resonance (NMR) make it possible to reliably detect tens of thousands of compounds[1]

  • We demonstrate that metabolomic and lipidomic analysis can be performed on a single sample using a single extraction protocol, reducing sample preparation and throughput time without compromising metabolite identification

  • Applying these internal standards for the data normalization led to even better linearity of for pyruvate, cytidine monophosphate (CMP), adenosine triphosphate (ATP), and NAD+ (Figure 1J-M, Table S2)

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Summary

Introduction

Considerable advances in high-performance liquid chromatography (HPLC), mass spectrometry (MS), nuclear magnetic resonance (NMR) make it possible to reliably detect tens of thousands of compounds[1]. Metabolomic analysis has seen a surge in popularity over the last decades and the importance and intricacies of metabolism in health and disease are becoming increasingly evident[2]. This has prompted increased demand for reliable and robust metabolomic methods for polar and apolar metabolite analyses in model organisms and human tissues[3]. Metabolic network models for C. elegans were recently constructed[10,11] and a curated consensus is currently being assembled in a European-led consortium[12] The success of such endeavors relies heavily on accurate and robust metabolomics methods[13]

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