Evidence map›Paper›PMID 36766845›Full record

ArticleCells2023

Targeting Human Endothelial Cells with Glutathione and Alanine Increases the Crossing of a Polypeptide Nanocarrier through a Blood-Brain Barrier Model and Entry to Human Brain Organoids.

Mária Mészáros, Thi Ha My Phan, Judit P Vigh, Gergő Porkoláb, Anna Kocsis, Emese K Páli, Tamás F Polgár, Fruzsina R Walter, Silvia Bolognin, Jens C Schwamborn and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Mária MészárosInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.ORCID 0000-0002-4847-9618
Thi Ha My PhanDepartment of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
Judit P VighInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.
Gergő PorkolábInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.ORCID 0000-0002-2495-0479
Anna KocsisInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.
Emese K PáliInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.
Tamás F PolgárInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.
Fruzsina R WalterInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.ORCID 0000-0001-8145-2823
Silvia BologninLuxembourg Centre for Systems Biomedicine (LCSB), Developmental and Cellular Biology, University of Luxembourg, 4365 Belvaux, Luxembourg.ORCID 0000-0002-1399-2999
Jens C SchwambornLuxembourg Centre for Systems Biomedicine (LCSB), Developmental and Cellular Biology, University of Luxembourg, 4365 Belvaux, Luxembourg.
Jeng-Shiung JanDepartment of Chemical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-8379-404X
Mária A DeliInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.ORCID 0000-0001-6084-6524
Szilvia VeszelkaInstitute of Biophysics, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary.ORCID 0000-0001-8864-1184
HUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of Szeged · HUNational Cheng Kung University · TWUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles (NPs) are the focus of research efforts that aim to develop successful drug delivery systems for the brain. Polypeptide nanocarriers are versatile platforms and combine high functionality with good biocompatibility and biodegradability. The key to the efficient brain delivery of NPs is the specific targeting of cerebral endothelial cells that form the blood-brain barrier (BBB). We have previously discovered that the combination of two different ligands of BBB nutrient transporters, alanine and glutathione, increases the permeability of vesicular NPs across the BBB. Our aim here was to investigate whether the combination of these molecules can also promote the efficient transfer of 3-armed poly(l-glutamic acid) NPs across a human endothelial cell and brain pericyte BBB co-culture model. Alanine and glutathione dual-targeted polypeptide NPs showed good cytocompatibility and elevated cellular uptake in a time-dependent and active manner. Targeted NPs had a higher permeability across the BBB model and could subsequently enter midbrain-like organoids derived from healthy and Parkinson's disease patient-specific stem cells. These results indicate that poly(l-glutamic acid) NPs can be used as nanocarriers for nervous system application and that the right combination of molecules that target cerebral endothelial cells, in this case alanine and glutathione, can facilitate drug delivery to the brain.

Indexed as

Blood-Brain BarrierEndothelial CellsAlanineBrainGlutamic AcidGlutathioneHumansOrganoidsPeptidesAlanineGlutamic AcidGlutathionePeptides3-armed polypeptidesalanineblood–brain barrierbrain endothelial cellsbrain organoiddual-targetingglutathionepeptide nanocarriers

Identifiers

PMID36766845
PMCPMC9914642
OpenAlexW4319080885

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.