Metabolomics

Dataset Information

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Metabolomics of sebum reveals lipid dysregulation in Parkinson's disease


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.

INSTRUMENT(S): Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Drupad Trivedi 

PROVIDER: MTBLS2266 | MetaboLights | 2020-12-21

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS2266 Other
FILES Other
a_MTBLS2266_LC-MS_positive_reverse-phase_metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS2266_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv Tabular
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Publications


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 s  ...[more]

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