Extracellular Vesicles as Therapeutics for Brain Injury and Disease

Dinesh Upadhya, Ashok K. Shetty

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Extracellular vesicles (EVs) are gaining tremendous importance in comprehending central nervous system (CNS) function and treating neurological disorders because of their role in intercellular communication and reparative processes, and suitability as drug delivery vehicles. Since EVs have lipid membranes, they cross the blood-brain barrier easily and communicate with target neurons and glia even deep inside the brain. EVs from various sources have been isolated, characterized, and tailored for promoting beneficial effects in conditions, such as brain injury and disease. Particularly, EVs isolated from mesenchymal stem cells and neural stem cells have shown promise for alleviating brain dysfunction after injury or disease. Such properties of stem cell-derived EVs have great importance for clinical applications, as EV therapy can avoid several concerns typically associated with cell therapy. This minireview confers the competence of EVs for improving brain function by modulating CNS injury and disease.

Original languageEnglish
Pages (from-to)3500-3505
Number of pages6
JournalCurrent Pharmaceutical Design
Volume25
Issue number33
DOIs
Publication statusPublished - 01-01-2019

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Brain Diseases
Brain Injuries
Therapeutics
Brain
Nervous System Trauma
Neural Stem Cells
Central Nervous System Diseases
Membrane Lipids
Cell- and Tissue-Based Therapy
Extracellular Vesicles
Nervous System Diseases
Blood-Brain Barrier
Mesenchymal Stromal Cells
Neuroglia
Mental Competency
Stem Cells
Central Nervous System
Neurons
Wounds and Injuries
Pharmaceutical Preparations

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Drug Discovery

Cite this

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Extracellular Vesicles as Therapeutics for Brain Injury and Disease. / Upadhya, Dinesh; Shetty, Ashok K.

In: Current Pharmaceutical Design, Vol. 25, No. 33, 01.01.2019, p. 3500-3505.

Research output: Contribution to journalArticle

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