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Trends in Biotechnology
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The tremendous biomedical potential of bacterial extracellular vesicles

Authors: Junhua Xie; Qiqiong Li; Freddy Haesebrouck; Lien Van Hoecke; Roosmarijn E. Vandenbroucke;

The tremendous biomedical potential of bacterial extracellular vesicles

Abstract

Bacterial extracellular vesicles (bEVs) are nano-sized, lipid membrane-delimited particles filled with bacteria-derived components. They have important roles in the physiology and pathogenesis of bacteria, and in bacteria-bacteria and bacteria-host interactions. Interestingly, recent advances in biotechnology have made it possible to engineer the bEV surface and decorate it with diverse biomolecules and nanoparticles (NPs). bEVs have been the focus of significant interest in a range of biomedical fields and are being evaluated as vaccines, cancer immunotherapy agents, and drug delivery vehicles. However, significant hurdles in terms of their safety, efficacy, and mass production need to be addressed to enable their full clinical potential. Here, we review recent advances and remaining obstacles regarding the use of bEVs in different biomedical applications and discuss paths toward clinical translation.

Country
Belgium
Keywords

EXOSOMES, Bacteria, Host Microbial Interactions, IMMUNE-RESPONSES, OUTER-MEMBRANE VESICLES, INFLUENZA VACCINE, NANOVESICLES, Biology and Life Sciences, Bioengineering, CHILDREN, IMMUNOGENICITY, EFFICACY, Cancer Vaccines, Lipids, DELIVERY, Extracellular Vesicles, INFECTION, Biotechnology

  • 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).
    171
    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 0.1%
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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!
171
Top 1%
Top 10%
Top 0.1%
Green