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International Journal of Molecular Sciences
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Conference object . 2019
Data sources: PubMed Central
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Biology and Role of Extracellular Vesicles (EVs) in the Pathogenesis of Thrombosis

Authors: Marta Zarà; Gianni Francesco Guidetti; Marina Camera; Ilaria Canobbio; Patrizia Amadio; Mauro Torti; Elena Tremoli; +1 Authors

Biology and Role of Extracellular Vesicles (EVs) in the Pathogenesis of Thrombosis

Abstract

Extracellular vesicles (EVs) are well-established mediators of cell-to-cell communication. EVs can be released by every cell type and they can be classified into three major groups according to their biogenesis, dimension, density, and predominant protein markers: exosomes, microvesicles, and apoptotic bodies. During their formation, EVs associate with specific cargo from their parental cell that can include RNAs, free fatty acids, surface receptors, and proteins. The biological function of EVs is to maintain cellular and tissue homeostasis by transferring critical biological cargos to distal or neighboring recipient cells. On the other hand, their role in intercellular communication may also contribute to the pathogenesis of several diseases, including thrombosis. More recently, their physiological and biochemical properties have suggested their use as a therapeutic tool in tissue regeneration as well as a novel option for drug delivery. In this review, we will summarize the impact of EVs released from blood and vascular cells in arterial and venous thrombosis, describing the mechanisms by which EVs affect thrombosis and their potential clinical applications.

Country
Italy
Keywords

Animal, Arterial thrombosi, Thrombosis, Biomarker, Review, Venous thrombosi, Exosomes, Exosome, Extracellular Vesicles, Drug Delivery Systems, Microvesicle, Animals, Humans, Extracellular vesicle, Drug Delivery System, Biomarkers, Human

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    151
    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 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
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!
151
Top 1%
Top 10%
Top 1%
Green
gold