Evidence map›Paper›PMID 32939863›Full record

ArticleThe European journal of neuroscience2021

Heparan sulfate proteoglycan-mediated dynamin-dependent transport of neural stem cell exosomes in an in vitro blood-brain barrier model.

Bhagyashree S Joshi, Inge S Zuhorn

Open access · hybridAbstract read
In one paragraph

Article in The European journal of neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

58 citing papers in PubMed, 83 citations in OpenAlex.

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  13. Hydrogel-based neural engineering for skin wound healing.Frontiers in cell and developmental biology · 2026
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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

2 authors at 1 institution in 1 country.

Bhagyashree S JoshiDepartment of Biomedical Engineering, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-9551-8640
Inge S ZuhornDepartment of Biomedical Engineering, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-7695-915X
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug delivery to the brain is greatly hampered by the presence of the blood-brain barrier (BBB) which tightly regulates the passage of molecules from blood to brain and vice versa. Nanocarriers, in which drugs can be encapsulated, can move across the blood-brain barrier (BBB) via the process of transcytosis, thus showing promise to improve drug delivery to the brain. Here, we demonstrate the use of natural nanovesicles, that is, exosomes, derived from C17.2 neural stem cells (NSCs) to efficiently carry a protein cargo across an in vitro BBB model consisting of human brain microvascular endothelial cells. We show that the exosomes are primarily taken up in brain endothelial cells via endocytosis, while heparan sulfate proteoglycans (HSPGs) act as receptors. Taken together, our data support the view that NSC exosomes may act as biological nanocarriers for efficient passage across the BBB. Nanomedicines that target HSPGs may improve their binding to brain endothelial cells and, possibly, show subsequent transcytosis across the BBB.

Indexed as

ExosomesNeural Stem CellsBiological TransportBlood-Brain BarrierDynaminsEndothelial CellsHeparan Sulfate ProteoglycansHumansDynaminsHeparan Sulfate Proteoglycansblood-brain barriercargoendothelial cellexosomesextracellular vesiclesheparan sulfate proteoglycansnanocarrierstranscytosis

Identifiers

PMID32939863
PMCPMC7891616
OpenAlexW3087365499

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.