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Updated: Jan 24, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Proteomic Approaches to Decipher Mechanisms Underlying Pathogenesis in Multiple Sclerosis Patients
Vaibhav Singh1, Ajai Tripathi1, Ranjan Dutta1
1Department of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.
Proteomics offers a powerful approach to identify biomarkers for multiple sclerosis (MS), a central nervous system (CNS) disease. This review explores how proteomic analysis of CNS tissues and biofluids advances understanding of MS pathogenesis and aids therapeutic development.
Area of Science:
- Neuroimmunology
- Proteomics
- Biomarker Discovery
Background:
- Multiple sclerosis (MS) is a chronic, progressive CNS disease with unknown etiology.
- Current therapies do not halt neurological disability, necessitating better understanding of pathogenesis.
- Biomarkers are crucial for identifying MS pathophysiology and monitoring disease progression.
Purpose of the Study:
- To review the application of proteomic technologies in multiple sclerosis research.
- To highlight proteomic insights into MS pathogenesis, particularly during disease progression.
- To discuss current challenges and future directions for proteomic approaches in MS.
Main Methods:
- Proteomic analysis of central nervous system (CNS) tissues from MS patients.
- Proteomic analysis of biofluids (e.g., cerebrospinal fluid, blood) from MS patients.
- Review of existing literature on proteomic findings in MS.
Main Results:
- Proteomics has provided significant clues into the complex pathogenesis of MS.
- Identification of potential biomarkers for MS pathophysiology and progression.
- Demonstration of proteomics as a key tool for accelerating biomarker discovery.
Conclusions:
- Proteomic strategies are vital for unraveling MS pathogenesis and developing effective therapies.
- Further research using advanced proteomic techniques is needed to fully understand MS.
- Biomarker discovery through proteomics holds promise for improved MS management.
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