Abstract

Nuclear magnetic resonance (NMR)-based metabolomics can be used directly to identify a variety of metabolites in biological fluids and tissues. Metabolite analysis is an important part of life science and metabolomics research. However, the identification of some metabolites using NMR spectroscopy remains a big challenge owing to low abundance or signal overlap. It is important to develop a method to measure these compounds accurately. Two-dimensional NMR spectroscopy, metabolite prediction software packages, and spike-in experiments with authentic standards are often used to solve these problems, but they are costly and time-consuming. In this study, methods were developed to identify metabolites in complex biological mixtures using both high-performance liquid chromatography (HPLC) and off-line microprobe NMR spectroscopy. With use of these methods, 83 and 73 metabolites were identified in Sprague Dawley rat urine and feces, respectively. Among them, 40 and 45 metabolites, respectively, could not be identified with traditional NMR methods. Our research revealed that the combination of HPLC and NMR techniques could significantly improve the accuracy of trace and overlapped metabolite identification, while offering an effective and convenient approach to identify potential biomarkers in complex biological systems.Electronic supplementary materialThe online version of this article (doi:10.1007/s00216-015-8556-y) contains supplementary material, which is available to authorized users.

Highlights

  • Metabolomics is used to determine the metabolic profile of biological samples, identify specific biomarkers, and explore possible metabolic pathways

  • For Nuclear magnetic resonance (NMR)-based metabolomics research, the identification of some metabolites remains a big challenge owing to low abundance or strong signal overlaps

  • NMR spectroscopy combined with highperformance liquid chromatography (HPLC) was applied to identify metabolites in complex biological mixtures

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Summary

Introduction

Metabolomics is used to determine the metabolic profile of biological samples, identify specific biomarkers, and explore possible metabolic pathways. It has been used during drug development [1], and in clinical disease research [2, 3], pathology [4], toxicology [5] and nutrition studies [6]. Each analytical technique has its own advantages and shortcomings; none of them can be used individually to systematically and accurately identify metabolites in complex biological matrices. 1H NMR spectroscopy is often used for metabolomics research. The limited spectroscopic dispersion of 1H NMR, about 12 ppm, results in a high degree of overlap of metabolite signals. Since some metabolites with low concentrations are indicative of certain disease states [10], it is important to measure these metabolites with certainty

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