Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage

  • Panagiotis A. Vorkas
  • M. R. Abellona U
  • Jia V. Li
Part of the Methods in Molecular Biology book series (MIMB, volume 1738)


The use of tissue as a matrix to elucidate disease pathology or explore intervention comes with several advantages. It allows investigation of the target alteration directly at the focal location and facilitates the detection of molecules that could become elusive after secretion into biofluids. However, tissue metabolomics/metabonomics comes with challenges not encountered in biofluid analyses. Furthermore, tissue heterogeneity does not allow for tissue aliquoting. Here we describe a multiplatform, multi-method workflow which enables metabolic profiling analysis of tissue samples, while it can deliver enhanced metabolome coverage. After applying a dual consecutive extraction (organic followed by aqueous), tissue extracts are analyzed by reversed-phase (RP-) and hydrophilic interaction liquid chromatography (HILIC-) ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS) and nuclear magnetic resonance (NMR) spectroscopy. This pipeline incorporates the required quality control features, enhances versatility, allows provisional aliquoting of tissue extracts for future guided analyses, expands the range of metabolites robustly detected, and supports data integration. It has been successfully employed for the analysis of a wide range of tissue types.

Key words

Metabolomics Metabonomics Metabolic profiling Metabolic phenotyping Lipidomics Tissue Extraction Metabolome Lipidome Coverage Multiplatform NMR UPLC-MS MSE HILIC 



This research was supported by the Royal Society of Chemistry and National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) based at Imperial College Healthcare NHS Trust and Imperial College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. MRAU is funded by the Imperial College President’s PhD Scholarship and the Stratified Medicine Graduate Training Programme in Systems Medicine and Spectroscopic Profiling (STRATiGRAD).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Panagiotis A. Vorkas
    • 1
  • M. R. Abellona U
    • 1
  • Jia V. Li
    • 1
    • 2
  1. 1.Section of Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of MedicineImperial College LondonLondonUK
  2. 2.Centre for Digestive and Gut Health, Institute of Global Health InnovationImperial College LondonLondonUK

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