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Updated: Mar 24, 2026

Sequential Extraction of Soluble and Insoluble Alpha-Synuclein from Parkinsonian Brains
Published on: January 5, 2016
Subgroup differences in 'brain-type' transferrin and α-synuclein in Parkinson's disease and multiple system atrophy
Akioh Yoshihara1, Masahiko Fukatsu2, Kyoka Hoshi3
1Departments of Neurology;
The transferrin (Tf) index, a measure of cerebrospinal fluid (CSF) glycan-isoforms, was similar in Alzheimer's disease patients and controls. However, Parkinson's disease and multiple system atrophy patients showed higher Tf indices, suggesting distinct metabolic subgroups.
Area of Science:
- Neuroscience
- Biochemistry
- Metabolomics
Background:
- Two transferrin (Tf) glycan-isoforms, Tf-1 (choroid plexus origin) and Tf-2 (serum origin), exist in cerebrospinal fluid (CSF).
- The ratio of these isoforms (Tf-2/Tf-1) defines the Tf index, reflecting metabolic differences.
Purpose of the Study:
- To investigate metabolic differences in CSF transferrin isoforms across neurological disorders.
- To determine if the Tf index can differentiate between tauopathies, Parkinson's disease (PD), multiple system atrophy (MSA), and controls.
Main Methods:
- Calculation of the Tf index (Tf-2/Tf-1 ratio) in CSF samples.
- Comparison of Tf indices between patient groups (Alzheimer's disease, PD, MSA) and neurological controls.
- Analysis of CSF alpha-synuclein levels in PD patients and subgroup identification using quantile-quantile plots.
Main Results:
- Tf indices were similar in Alzheimer's disease patients and controls (P = 0.147).
- PD and MSA patients exhibited significantly higher Tf indices compared to controls (P < 0.001 and P = 0.024, respectively).
- A subgroup within PD and MSA showed elevated Tf indices, with PD subgroups also displaying higher CSF alpha-synuclein levels (P = 0.012).
Conclusions:
- The Tf index may help distinguish PD and MSA from tauopathies and controls.
- PD and MSA appear to comprise distinct subgroups with differing CSF transferrin and alpha-synuclein metabolism.
- These findings suggest potential for novel diagnostic or prognostic biomarkers in neurodegenerative diseases.
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