Plasma metabolite biomarkers for multiple system atrophy and progressive supranuclear palsy.
Akio MoriKei-Ichi IshikawaShinji SaikiTaku HatanoYutaka OjiAyami OkuzumiMotoki FujimakiTakahiro KoinumaShin-Ichi UenoYoko ImamichiNobutaka HattoriPublished in: PloS one (2019)
Radiological biomarkers have been reported for multiple system atrophy and progressive supranuclear palsy, but serum/plasma biomarkers for each disorder have not been established. In this context, we performed a pilot study to identify disease-specific plasma biomarkers for multiple system atrophy and progressive supranuclear palsy. Plasma samples collected from 20 progressive supranuclear palsy patients, 16 multiple system atrophy patients and 20 controls were investigated by comprehensive metabolome analysis using capillary electrophoresis mass spectrometry and liquid chromatography mass spectrometry. Medication data were obtained from patients with multiple system atrophy and progressive supranuclear palsy, and correlations with associated metabolites were examined. Receiver operating characteristics curve analyses were used to investigate diagnostic values for each disorder. The levels of 15 and eight metabolites were significantly changed in multiple system atrophy and progressive supranuclear palsy, respectively. Multiple system atrophy was mainly characterized by elevation of long-chain fatty acids and neurosteroids, whereas progressive supranuclear palsy was characterized by changes in the level of oxidative stress-associated metabolites. Receiver operating characteristic curve analyses revealed that patients with multiple system atrophy or progressive supranuclear palsy were effectively differentiated from controls by 15 or 7 metabolites, respectively. Disease-specific metabolic changes of multiple system atrophy and progressive supranuclear palsy were identified. These biomarker sets should be replicated in a larger sample.
Keyphrases
- multiple sclerosis
- mass spectrometry
- liquid chromatography
- capillary electrophoresis
- oxidative stress
- end stage renal disease
- ms ms
- newly diagnosed
- ejection fraction
- healthcare
- chronic kidney disease
- fatty acid
- dna damage
- single cell
- electronic health record
- gas chromatography
- atomic force microscopy
- tandem mass spectrometry
- deep learning
- peritoneal dialysis