LC MS-Based Urinary Metabolite Signatures in Idiopathic Parkinson's Disease
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AbstractIncreasing evidence has shown that abnormal metabolic phenotypes in body fluids reflect the pathogenesis and pathophysiology of Parkinson's disease (PD). These body fluids include urine; however, the relationship between, specifically, urinary metabolic phenotypes and PD is not fully understood. In this study, urinary metabolites from a total of 401 clinical urine samples collected from 106 idiopathic PD patients and 104 normal control subjects were profiled by using high-performance liquid chromatography coupled to high-resolution mass spectrometry. Our study revealed significant correlation between clinical phenotype and urinary metabolite profile. Metabolic profiles of idiopathic PD patients differed significantly and consistently from normal controls, with related metabolic pathway variations observed in steroidogenesis, fatty acid beta-oxidation, histidine metabolism, phenylalanine metabolism, tryptophan metabolism, nucleotide metabolism, and tyrosine metabolism. In the fruit fly Drosophila melanogaster, the alteration of the kynurenine pathway in tryptophan metabolism corresponded with pathogenic changes in the alpha-synuclein overexpressed Drosophila model of PD. The results suggest that LC-MS-based urinary metabolomic profiling can reveal the metabolite signatures and related variations in metabolic pathways that characterize PD. Consistent PD-related changes across species may provide the basis for understanding metabolic regulation of PD at the molecular level.
All Author(s) ListLuan HM, Liu LF, Meng N, Tang Z, Chua KK, Chen LL, Song JX, Mok VCT, Xie LX, Li M, Cai ZW
Journal nameJournal of Proteome Research
Year2015
Month1
Day1
Volume Number14
Issue Number1
PublisherAMER CHEMICAL SOC
Pages467 - 478
ISSN1535-3893
eISSN1535-3907
LanguagesEnglish-United Kingdom
Keywordsdrosophila; idiopathic Parkinson's disease; metabolic phenotype; metabolite signature; urinary metabolomics
Web of Science Subject CategoriesBiochemical Research Methods; Biochemistry & Molecular Biology

Last updated on 2021-09-01 at 00:53