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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.
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Eleanor Sinclair
University of Manchester
Drupad K. Trivedi
University of Liverpool
Depanjan Sarkar
Indian Institute of Technology Madras
Nature Communications
SHILAP Revista de lepidopterología
University of Edinburgh
University of Manchester
University of Amsterdam
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Sinclair et al. (Thu,) studied this question.
synapsesocial.com/papers/69d74d1adf21310ab048f39d — DOI: https://doi.org/10.1038/s41467-021-21669-4