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Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
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Is there a link between inflammation and fatigue in multiple sclerosis?
Moussa A Chalah1,2, Samar S Ayache1,2,3
1EA 4391, Excitabilité Nerveuse et Thérapeutique, Université Paris-Est-Créteil, Créteil, France.
Journal of Inflammation Research
|June 21, 2018
Summary
Researchers explored links between multiple sclerosis (MS) fatigue and immune markers. Some serum proinflammatory cytokines, like IL6, TNFα, and IFNγ, appear associated with MS fatigue, offering potential biomarkers.
Area of Science:
- Neuroimmunology
- Central Nervous System Disorders
Background:
- Multiple sclerosis (MS) is an autoimmune CNS disease causing demyelination, synaptopathy, and neurodegeneration.
- Fatigue affects up to 90% of MS patients, significantly impacting quality of life.
- Current MS fatigue assessment relies on subjective scales, with limited therapeutic options.
Purpose of the Study:
- To investigate the relationship between multiple sclerosis (MS) fatigue and inflammatory or immunomediated markers.
- To identify potential objective biomarkers for MS fatigue assessment and management.
Main Methods:
- A systematic literature review adhering to PRISMA guidelines was performed.
- Databases (PubMed/Medline, Scopus) were searched for studies on inflammation and MS fatigue until February 2018.
- Included studies were published in English or French.
Main Results:
- Twenty-seven studies met the inclusion criteria.
- Inconsistent associations were found with the orexin A system, HPA axis, and CSF inflammatory markers.
- Serum proinflammatory cytokines (IL6, TNFα, IFNγ) showed a potential association with MS fatigue, despite limited data.
- No significant link was observed between MS fatigue and T-cell populations or other peripheral inflammatory markers (CRP, ESR, sICAM1).
Conclusions:
- Objective biomarkers for MS fatigue are needed due to the subjective nature of current assessment scales.
- Future research should compare immune measures and fatigue across different MS phenotypes and treatment statuses.
- Identifying reliable biomarkers could optimize MS fatigue evaluation and treatment strategies.
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