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Neural Regeneration Research
Article . 2023 . Peer-reviewed
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Biofabrication of nanovesicles for brain diseases

Authors: Pasquale Picone; Domenico Nuzzo;

Biofabrication of nanovesicles for brain diseases

Abstract

Nanotechnologies promise to improve disease diagnosis and treatment, overcoming the limitations of conventional administrations. In particular, extracellular vesicles (EVs) and artificial vesicles (AVs) are strongly emerging tools in nanomedicine (Leggio et al., 2020). EVs are cell-derived membrane structures secreted after the fusion of endosomes with the plasma membrane (exosomes) or shed from the plasma membrane (microvesicles). EVs are released by different brain cells (neurons, oligodendrocytes, astrocytes, and microglia) and constitute a physiological intercellular communication system. Indeed, EVs can deliver different types of molecules (nucleic acids and proteins), which often influence the phenotype of the recipient cells. They play a physiological role in the central nervous system (CNS), such as development, myelination, regeneration, and synaptic activity (Lai et al., 2012). Due to their content, EVs could therefore constitute an important biomarker for neurodegenerative diseases, represent candidates for therapeutic use, enclosing regulatory molecules, or be considered as vectors for brain drug delivery (Croese et al.,2018)

Country
Italy
Keywords

nanovesicles, Nanotechnologies, Perspective, Neurology. Diseases of the nervous system, RC346-429, brain disease

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold