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Updated: Jan 22, 2026
11:35
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
58.7K
Using biomarkers to predict clinical outcomes in multiple sclerosis.
Daniel Castle1,2, Ray Wynford-Thomas1,2, Sam Loveless1,2
1Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.
Practical Neurology
|June 28, 2019
Summary
Identifying reliable biomarkers is crucial for predicting long-term multiple sclerosis (MS) outcomes and personalizing treatment. Combining multiple biomarkers may improve prediction accuracy for this complex neurodegenerative disease.
Area of Science:
- Neuroimmunology
- Biomarker Discovery
- Clinical Neurology
Background:
- Multiple sclerosis (MS) exhibits variable long-term outcomes, and disease-modifying therapies pose risks.
- Individualized treatment decisions for MS require predictive biomarkers.
- Current candidate biomarkers for inflammation, neurodegeneration, and glial pathology show promise but need further validation.
Purpose of the Study:
- To highlight the need for validated tissue biomarkers in multiple sclerosis (MS).
- To emphasize the potential of combining multiple biomarkers for improved outcome prediction.
- To discuss the challenges in validating biomarkers against established predictors.
Main Methods:
- Review of candidate biomarkers reflecting inflammation, neurodegeneration, and glial pathophysiology in MS.
- Discussion of the necessity for long-term cohort validation.
- Exploration of multi-biomarker panel approaches.
Main Results:
- Several candidate biomarkers show promise for predicting MS outcomes.
- Validation in long-term follow-up cohorts and adjustment for known predictors are critical.
- Heterogeneous biomarker panels may offer enhanced predictive power.
Conclusions:
- Validated biomarkers are essential for personalized MS treatment strategies.
- Combining biomarkers targeting diverse pathological aspects (neurodegeneration, glial, immune) may improve prediction.
- Further research is needed to validate multi-biomarker panels for MS outcome prediction.
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