Metabolomic studies of lipid storage disorders, with special reference to Niemann-Pick type C disease: a critical review with future perspectives

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Percival, BC ORCID: https://orcid.org/0000-0002-8769-8979, Gibson, M, Wilson, PB ORCID: https://orcid.org/0000-0003-0207-2246, Platt, FM and Grootveld, M, 2020. Metabolomic studies of lipid storage disorders, with special reference to Niemann-Pick type C disease: a critical review with future perspectives. International Journal of Molecular Sciences, 21 (7): 2533. ISSN 1661-6596

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Official URL: https://doi.org/10.3390/ijms21072533

Abstract

Lysosomal storage disorders (LSDs) are predominantly very rare recessive autosomal neurodegenerative diseases.Sphingolipidoses, a sub-group of LSDs, result from defects in lysosomal enzymes involved in sphingolipid catabolism, and feature disrupted storage systems which trigger complex pathogenic cascades with other organelles collaterally affected. This process leads to cell dysfunction and death, particularly in the central nervous system. One valuable approach to gaining insights into the global impact of lysosomal dysfunction is through metabolomics, which represents a discovery tool for investigating disease-induced modifications in the patterns of large numbers of simultaneously-analysed metabolites, which also features the identification of biomarkers Here, the scope and applications of metabolomics strategies to the investigation of sphingolipidoses is explored in order to facilitate our understanding of the biomolecular basis of these conditions. This review therefore surveys the benefits of applying ’state-of-the-art’ metabolomics strategies, both univariate and multivariate, to sphingolipidoses, particularly Niemann-Pick type C disease. Relevant limitations of these techniques are also discussed, along with the latest advances and developments. We conclude that metabolomics strategies are highly valuable, distinctive bioanalytical techniques for probing LSDs, most especially for the detection and validation of potential biomarkers. They also show much promise for monitoring disease progression and the evaluation of therapeutic strategies and targets.

Item Type:	Journal article
Publication Title:	International Journal of Molecular Sciences
Creators:	Percival, B.C., Gibson, M., Wilson, P.B., Platt, F.M. and Grootveld, M.
Publisher:	MDPI
Date:	5 April 2020
Volume:	21
Number:	7
ISSN:	1661-6596
Identifiers:	Number Type 10.3390/ijms21072533 DOI 1314368 Other
Rights:	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Animal, Rural and Environmental Sciences
Record created by:	Jonathan Gallacher
Date Added:	17 Jun 2020 10:32
Last Modified:	17 Mar 2022 15:27
URI:	https://irep.ntu.ac.uk/id/eprint/40021