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Characterization of Immune Cell-derived Extracellular Vesicles and Studying Functional Impact on Cell Environment
Published on: June 2, 2020
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Extracellular Vesicles in Multiple Sclerosis: What are They Telling Us?
Matías Sáenz-Cuesta1, Iñaki Osorio-Querejeta1, David Otaegui1
1Multiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute , San Sebastián , Spain ; Spanish Network on Multiple Sclerosis , Madrid , Spain.
Frontiers in Cellular Neuroscience
|April 16, 2014
Summary
Extracellular vesicles (EVs) are key in cell communication and are increasingly found in autoimmune diseases like multiple sclerosis (MS). This review explores the pathological role of EVs in MS development and progression.
Area of Science:
- Cell Biology
- Neuroimmunology
- Biochemistry
Background:
- Extracellular vesicles (EVs) are cell-secreted particles involved in intercellular communication.
- EVs carry proteins, lipids, and genetic material, influencing physiological and pathological processes.
- Elevated EV concentrations are observed in autoimmune diseases, including multiple sclerosis (MS).
Purpose of the Study:
- To review the pathological role of EVs in multiple sclerosis (MS).
- To examine the relationship between EVs and MS clinical characteristics, therapy, and biomarkers.
Main Methods:
- Literature review of studies on EVs and MS.
- Analysis of EV biogenesis, classification, and function.
- Correlation of EV concentrations with MS pathology and clinical data.
Main Results:
- EVs play a significant role in cell-to-cell communication relevant to MS pathogenesis.
- Interactions involving endothelial cells, leukocytes, monocytes, and CNS cells are crucial in MS, with EVs mediating these interactions.
- EVs are linked to MS clinical features, treatment responses, and potential biomarker applications.
Conclusions:
- EVs are implicated in the pathological mechanisms of multiple sclerosis.
- Understanding EV involvement can offer insights into MS progression and therapeutic strategies.
- EVs hold potential as biomarkers for MS diagnosis and monitoring.
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