Identification of novel biomarkers for Parkinson's disease by metabolomic technologies

T Hatano, S Saiki, A Okuzumi, RP Mohney… - Journal of Neurology …, 2016 - jnnp.bmj.com
T Hatano, S Saiki, A Okuzumi, RP Mohney, N Hattori
Journal of Neurology, Neurosurgery & Psychiatry, 2016jnnp.bmj.com
Objective The pathogenesis of Parkinson's disease (PD) involves complex interactions
between environmental and genetic factors. Metabolomics can shed light on alterations in
metabolic pathways in many diseases, including neurodegenerative diseases. In the
present study, we attempted to elucidate the candidate metabolic pathway (s) associated
with PD. Methods Serum samples were collected from 35 individuals with idiopathic PD
without dementia and 15 healthy age-matched control participants without PD. This analysis …
Objective
The pathogenesis of Parkinson's disease (PD) involves complex interactions between environmental and genetic factors. Metabolomics can shed light on alterations in metabolic pathways in many diseases, including neurodegenerative diseases. In the present study, we attempted to elucidate the candidate metabolic pathway(s) associated with PD.
Methods
Serum samples were collected from 35 individuals with idiopathic PD without dementia and 15 healthy age-matched control participants without PD. This analysis used a combination of three independent platforms: ultrahigh-performance liquid chromatography/tandem mass spectrometry (UPLC/MS/MS) optimised for basic species, UPLC/MS/MS optimised for acidic species and gas chromatography/MS (GC/MS).
Results
The metabolomic profiles of PD were clearly different from normal controls. PD profiles had significantly lower levels of tryptophan, caffeine and its metabolites, bilirubin and ergothioneine, and significantly higher levels of levodopa metabolites and biliverdin than those of normal controls. Alterations in the bilirubin/biliverdin ratio and ergothioneine can indicate oxidative stress intensity and may suggest elevated oxidative stress and/or insufficient ability for scavenging free radicals, which could contribute to PD pathogenesis. Decreased serum tryptophan level is associated with psychiatric problems in PD. A decrease in serum caffeine levels is consistent with an inverse association of caffeine consumption with development of PD based on past epidemiological studies.
Conclusions
Metabolomic analysis detected biomarkers associated with PD pathogenesis and disease progression. Since critical metabolic biomarkers need to be identified in PD, future studies should include assay validation and replication in independent cohorts.
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