Evidence map›Paper›PMID 34829963›Full record

ReviewBiomedicines2021

Special delEVery: Extracellular Vesicles as Promising Delivery Platform to the Brain.

Marie J Pauwels, Charysse Vandendriessche, Roosmarijn E Vandenbroucke

Abstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Engineered EVs designed to target diseases of the CNS.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Review
  10. Extracellular Vesicles as Therapeutic Resources in the Clinical Environment.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marie J PauwelsVIB Center for Inflammation Research, 9052 Ghent, Belgium.
Charysse VandendriesscheVIB Center for Inflammation Research, 9052 Ghent, Belgium.ORCID 0000-0002-8645-6396
Roosmarijn E VandenbrouckeVIB Center for Inflammation Research, 9052 Ghent, Belgium.ORCID 0000-0002-8327-620X

Funding

Baillet Latour NAFoundation for Alzheimer's Research Project 2019-0028Ghent University Special Research Fund NAVIB NA
6 · The paper itself

Abstract

The treatment of central nervous system (CNS) pathologies is severely hampered by the presence of tightly regulated CNS barriers that restrict drug delivery to the brain. An increasing amount of data suggests that extracellular vesicles (EVs), i.e., membrane derived vesicles that inherently protect and transfer biological cargoes between cells, naturally cross the CNS barriers. Moreover, EVs can be engineered with targeting ligands to obtain enriched tissue targeting and delivery capacities. In this review, we provide a detailed overview of the literature describing a natural and engineered CNS targeting and therapeutic efficiency of different cell type derived EVs. Hereby, we specifically focus on peripheral administration routes in a broad range of CNS diseases. Furthermore, we underline the potential of research aimed at elucidating the vesicular transport mechanisms across the different CNS barriers. Finally, we elaborate on the practical considerations towards the application of EVs as a brain drug delivery system.

Indexed as

brain barriersbrain targetingdrug deliveryextracellular vesiclesneurological disorders

Identifiers

PMID34829963
PMCPMC8615927

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.