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. 2017 Apr;6(4):387-395.
doi: 10.3892/br.2017.868. Epub 2017 Mar 3.

Nuclear magnetic resonance metabolomics and human liver diseases: The principles and evidence associated with protein and carbohydrate metabolism

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Nuclear magnetic resonance metabolomics and human liver diseases: The principles and evidence associated with protein and carbohydrate metabolism

Laurence Le Moyec et al. Biomed Rep. 2017 Apr.

Abstract

During the last decade, metabolomics has become widely used in the field of human diseases. Numerous studies have demonstrated that this is a powerful technique for improving the understanding, diagnosis and management of various types of liver disease, such as acute and chronic liver diseases, and liver transplantation. Nuclear magnetic resonance (NMR) spectroscopy is one of the two most commonly applied methods for metabolomics. The aim of the present review was to investigate the results from recent key publications focusing on aspects of protein and carbohydrate metabolism. The review includes existing procedures, which are currently used for NMR data acquisition and statistical analysis. In addition, notable results obtained by these studies on protein and carbohydrate metabolism concerning human liver diseases are presented.

Keywords: chronic and acute liver disease; metabolomics; nuclear magnetic resonance.

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References

    1. Kumar R Shalimar, Sharma H, Goyal R, Kumar A, Khanal S, Prakash S, Gupta SD, Panda SK, Acharya SK. Prospective derivation and validation of early dynamic model for predicting outcome in patients with acute liver failure. Gut. 2012;61:1068–1075. doi: 10.1136/gutjnl-2011-301762. - DOI - PubMed
    1. Gowda S, Desai PB, Hull VV, Math AA, Vernekar SN, Kulkarni SS. A review on laboratory liver function tests. Pan Afr Med J. 2009;3:17. - PMC - PubMed
    1. Nie W, Yan L, Lee YH, Guha C, Kurland IJ, Lu H. Advanced mass spectrometry-based multi-omics technologies for exploring the pathogenesis of hepatocellular carcinoma. Mass Spectrom Rev. 2016;35:331–349. doi: 10.1002/mas.21439. - DOI - PubMed
    1. Chaiteerakij R, Addissie BD, Roberts LR. Update on biomarkers of hepatocellular carcinoma. Clin Gastroenterol Hepatol. 2015;13:237–245. doi: 10.1016/j.cgh.2013.10.038. - DOI - PMC - PubMed
    1. Smolinska A, Blanchet L, Buydens LM, Wijmenga SS. NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review. Anal Chim Acta. 2012;750:82–97. doi: 10.1016/j.aca.2012.05.049. - DOI - PubMed