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Metabolomic investigations in cerebrospinal fluid of Parkinson's disease.

PLoS ONE 13, e0208752 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
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The underlying mechanisms of Parkinson's disease are not completely revealed. Especially, early diagnostic biomarkers are lacking. To characterize early pathophysiological events, research is focusing on metabolomics. In this case-control study we investigated the metabolic profile of 31 Parkinson's disease-patients in comparison to 95 neurologically healthy controls. The investigation of metabolites in CSF was performed by a 12 Tesla SolariX Fourier transform-ion cyclotron resonance-mass spectrometer (FT-ICR-MS). Multivariate statistical analysis sorted the most important biomarkers in relation to their ability to differentiate Parkinson versus control. The affected metabolites, their connection and their conversion pathways are described by means of network analysis. The metabolic profiling by FT-ICR-MS in CSF yielded in a good group separation, giving insights into the disease mechanisms. A total number of 243 metabolites showed an affected intensity in Parkinson's disease, whereas 15 of these metabolites seem to be the main biological contributors. The network analysis showed a connection to the tricarboxylic cycle (TCA cycle) and therefore to mitochondrial dysfunction and increased oxidative stress within mitochondria. The metabolomic analysis of CSF in Parkinson's disease showed an association to pathways which are involved in lipid/ fatty acid metabolism, energy metabolism, glutathione metabolism and mitochondrial dysfunction.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Polyunsaturated Fatty-acids; Arachidonic-acid; Brain; Glutathione; Biomarkers; Plasma; Mitochondrial; Gender; Metabolites; Dysfunction
Language english
Publication Year 2018
HGF-reported in Year 2018
ISSN (print) / ISBN 1932-6203
Journal PLoS ONE
Quellenangaben Volume: 13, Issue: 12, Pages: e0208752 Article Number: , Supplement: ,
Publisher Public Library of Science (PLoS)
Publishing Place Lawrence, Kan.
Reviewing status Peer reviewed
POF-Topic(s) 30202 - Environmental Health
90000 - German Center for Diabetes Research
Research field(s) Environmental Sciences
PSP Element(s) G-504800-002
G-504800-001
G-501900-482
Scopus ID 85058225427
PubMed ID 30532185
Erfassungsdatum 2018-12-13