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Updated: Feb 11, 2026

Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry
Published on: July 31, 2011
Targeted Mass Spectrometry-Based Assays for Relative Quantification of 30 Brain-Related Proteins and Their Clinical
Ilijana Begcevic1,2, Davor Brinc1,2,3, Lora Dukic4
1Department of Laboratory Medicine and Pathobiology , University of Toronto , Toronto , Ontario M5S 1A8 , Canada.
Researchers developed a mass spectrometry assay to measure 30 brain proteins in cerebrospinal fluid (CSF). This assay shows promise for identifying biomarkers for neurological disorders like multiple sclerosis.
Area of Science:
- Neuroscience
- Biochemistry
- Clinical Chemistry
Background:
- Cerebrospinal fluid (CSF) offers a direct link to brain tissue, making it a valuable source for identifying neurological disease biomarkers.
- Currently, there is a lack of specific diagnostic or prognostic biomarkers for multiple sclerosis (MS) in clinical practice.
Purpose of the Study:
- To develop a targeted mass spectrometry assay for quantifying 30 brain-related proteins in CSF.
- To evaluate the feasibility of this assay in clinical samples from patients with multiple sclerosis.
Main Methods:
- A multiplex selected reaction monitoring (SRM) assay was developed for simultaneous quantification of 30 target proteins.
- The assay's dynamic range and reproducibility were assessed.
- CSF samples from healthy individuals, patients with clinically isolated syndrome, and early MS patients were analyzed.
Main Results:
- The developed multiplex SRM assay demonstrated a wide dynamic range (median fold range = 8.16 × 10^3) and high reproducibility (median CV = 4%).
- The assay successfully quantified candidate biomarkers in CSF samples from all patient groups.
Conclusions:
- The developed targeted mass spectrometry assay is a feasible tool for quantifying multiple brain-related proteins in CSF.
- This assay holds potential for the discovery of novel biomarkers for early detection and monitoring of neurological disorders, particularly multiple sclerosis.
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