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Abstract
Parkinson’s disease (PD) is a progressive neurodegenerative disorder, which is characterised by degeneration of distinct neuronal populations, including dopaminergic neurons of the substantia nigra. Here, we use a metabolomics profiling approach to identify changes to lipids in PD observed in sebum, a non-invasively available biofluid. We used liquid chromatography-mass spectrometry (LC-MS) to analyse 274 samples from participants (80 drug naïve PD, 138 medicated PD and 56 well matched control subjects) and detected metabolites that could predict PD phenotype. Pathway enrichment analysis shows alterations in lipid metabolism related to the carnitine shuttle, sphingolipid metabolism, arachidonic acid metabolism and fatty acid biosynthesis. This study shows sebum can be used to identify potential biomarkers for PD.
Studies of metabolites in neurodegeneration have not yet used sebum as a source fluid. Here the authors demonstrate the potential of metabolomics of sebum samples from individuals with Parkinson’s disease and controls.
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1 The University of Manchester, Manchester Institute of Biotechnology, School of Chemistry, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407)
2 The University of Edinburgh, Institute for Stem Cell Research, School of Biological Sciences, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
3 Vrije Universiteit Amsterdam, Division of BioAnalytical Chemistry, AIMMS Amsterdam Institute of Molecular and Life Sciences, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)
4 University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands (GRID:grid.7177.6) (ISNI:0000000084992262)
5 University of Liverpool, Institute of Systems, Molecular and Integrative Biology, Department of Biochemistry and Systems Biology, Liverpool, UK (GRID:grid.10025.36) (ISNI:0000 0004 1936 8470)
6 University of Manchester, Department of Neurology, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407)