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Updated: May 22, 2026

Sequential Extraction of Soluble and Insoluble Alpha-Synuclein from Parkinsonian Brains
Published on: January 5, 2016
Postmortem Interval Influences α-Synuclein Expression in Parkinson Disease Brain.
Alexandra Dumitriu1, Carlee Moser, Tiffany C Hadzi
1Department of Neurology, Boston University School of Medicine, Boston, MA 02119, USA.
Alpha-synuclein (SNCA) gene duplications increase Parkinson's disease (PD) risk. SNCA expression in PD brains varies with postmortem interval, unlike in controls.
Area of Science:
- Neuroscience
- Genetics
- Molecular Biology
Background:
- Duplications of the alpha-synuclein (SNCA) gene are linked to increased Parkinson's disease (PD) risk.
- Previous studies on SNCA gene expression in brain tissue have yielded inconsistent findings.
Purpose of the Study:
- To investigate SNCA gene and transcript expression levels in Parkinson's disease (PD) frontal cortex.
- To examine the relationship between SNCA single nucleotide polymorphisms (SNPs) and gene expression.
- To analyze the influence of postmortem interval (PMI) on SNCA expression in PD and control brains.
Main Methods:
- Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure full-length SNCA transcript and total SNCA mRNA levels.
- Analysis included 165 frontal cortex samples (101 PD, 64 control).
- Eight SNPs in the 5' and 3' regions of SNCA were evaluated for their association with gene expression.
Main Results:
- SNCA expression showed a differential association with postmortem interval (PMI) between PD and control groups.
- In PD cases, SNCA expression decreased with increasing PMI, while it remained relatively constant in controls.
- SNCA expression was higher in PD samples than controls for short PMI, but lower for long PMI.
Conclusions:
- Postmortem interval significantly influences SNCA expression measurements in Parkinson's disease brain tissue.
- The observed PMI-dependent expression patterns may explain previous inconsistencies in SNCA expression studies.
- These findings highlight the importance of considering PMI in neurodegenerative disease research involving gene expression analysis.
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