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A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Proteomic analysis of multiple sclerosis cerebrospinal fluid
B N Hammack1, K Y C Fung, S W Hunsucker
1Department of Neurology, University of Colorado Health Sciences Center, Denver, CO 80262, USA. barbara.hammack@ushsc.edu
Summary
Researchers identified 61 proteins in multiple sclerosis (MS) cerebrospinal fluid (CSF), including four novel proteins not typically found in normal CSF. Further research is needed to determine if these proteins are linked to MS pathogenesis.
Area of Science:
- Neuroscience
- Biochemistry
- Proteomics
Background:
- Multiple sclerosis (MS) is a chronic inflammatory disease affecting the central nervous system (CNS).
- Cerebrospinal fluid (CSF) proteome analysis offers insights into CNS disease biomarkers.
- Identifying novel proteins in MS CSF may elucidate disease mechanisms.
Purpose of the Study:
- To compare the proteome of CSF from MS patients with that of patients with non-MS inflammatory CNS disorders.
- To identify potential protein biomarkers associated with multiple sclerosis.
Main Methods:
- Two-dimensional gel electrophoresis (2D-PAGE) was employed for protein separation.
- Peptide mass fingerprinting (PMF) was utilized for protein identification.
- CSF samples were pooled from MS patients and controls with inflammatory CNS disorders.
Main Results:
- A total of 61 distinct proteins were identified in the MS CSF proteome across 430 protein spots.
- 103 protein spots unique to MS CSF were detected compared to control samples.
- Four proteins—CRTAC-IB, tetranectin, SPARC-like protein, and autotaxin t—were identified in MS CSF but not in controls.
Conclusions:
- The study identified several proteins in MS CSF, including four potentially novel candidates.
- The significance of these four unique proteins in the cause and pathogenesis of MS requires further investigation.
- Proteomic analysis of CSF can reveal differences between MS and other inflammatory CNS conditions.
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