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Updated: May 10, 2025

Sequential Extraction of Soluble and Insoluble Alpha-Synuclein from Parkinsonian Brains
Published on: January 5, 2016
Potential separation of multiple system atrophy and Parkinson's disease by susceptibility-derived components
Su Yan1, Jun Lu2, Bingfang Duan1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
Background:
Substantial evidence emphasizes the dysregulation of iron homeostasis, demyelination and oxidative stress in the neurodegenerative process of multiple system atrophy (MSA) and Parkinson's disease (PD), although its clinical implications remain unclear. Recent MRI post-processing techniques leveraging magnetic susceptibility properties provide a noninvasive means to characterize iron, myelin content and oxygen metabolism alterations. This study aims to investigate subcortical alterations of susceptibility-derived metrics in these two synucleinopathies.
Methods:
A cohort comprising 180 patients (122 with PD and 58 with MSA) and 77 healthy controls (HCs) underwent clinical evaluation and multi-echo gradient echo MRI scans. Susceptibility source separation, susceptibility-based oxygen extraction fraction (OEF) mapping and semiautomatic subcortical nuclei segmentation were utilized to derive parametric values of deep gray matter in all subjects.
Results:
MSA patients showed markedly elevated paramagnetic susceptibility values in the putamen, globus pallidus (GP) and thalamus; increased diamagnetic susceptibility values in the putamen and dentate nucleus; and reduced OEF values across all nuclei compared with PD patients and HCs. Whereas PD exhibited increased positive susceptibility values in the substantia nigra and enhancing negative values in the GP, similar to MSA. Notably, age-related reductions in OEF were evident in HCs, which was altered by the MSA pathology. Paramagnetic susceptibility was correlated with disease severity. Moreover, the susceptibility-derived metrics of striatum and midbrain nuclei proved to be effective predictors to distinguish PD from MSA (AUC = 0.833).
Conclusion:
Susceptibility-derived metrics could detect pathological involvement distinct to each disease, offering significant potential for differentiating between MSA and PD in clinical settings.
Insights
Magnetic susceptibility MRI metrics reveal distinct pathological changes in multiple system atrophy (MSA) and Parkinson's disease (PD). These markers can differentiate between MSA and PD, aiding clinical diagnosis.
Area of Science:
- Neuroimaging
- Neurodegenerative diseases
- Biomarkers
Background:
- Multiple system atrophy (MSA) and Parkinson's disease (PD) involve iron dysregulation, demyelination, and oxidative stress.
- Magnetic susceptibility MRI offers noninvasive insights into these alterations.
- Clinical implications of these neurodegenerative processes remain unclear.
Purpose of the Study:
- Investigate subcortical alterations using susceptibility-derived MRI metrics in MSA and PD.
- Characterize differences in iron, myelin, and oxygen metabolism between these synucleinopathies.
- Assess the potential of these metrics for clinical differentiation.
Main Methods:
- 180 patients (122 PD, 58 MSA) and 77 healthy controls (HCs) underwent MRI.
- Multi-echo gradient echo MRI scans were acquired.
- Susceptibility source separation, oxygen extraction fraction (OEF) mapping, and subcortical nuclei segmentation were used.
Main Results:
- MSA showed elevated paramagnetic and diamagnetic susceptibility in specific nuclei and reduced OEF compared to PD and HCs.
- PD exhibited distinct susceptibility changes in the substantia nigra and globus pallidus.
- Susceptibility metrics effectively distinguished PD from MSA (AUC=0.833) and correlated with disease severity.
Conclusions:
- Susceptibility-derived MRI metrics can detect distinct pathological involvement in MSA and PD.
- These noninvasive markers hold significant potential for differentiating between MSA and PD in clinical practice.
- Further research can leverage these findings for improved diagnostic strategies.
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