Evidence map›Paper›PMID 34948054›Full record

ArticleInternational journal of molecular sciences2021

In Vitro Comparative Study of Solid Lipid and PLGA Nanoparticles Designed to Facilitate Nose-to-Brain Delivery of Insulin.

Hussein Akel, Ildikó Csóka, Rita Ambrus, Alexandra Bocsik, Ilona Gróf, Mária Mészáros, Anikó Szecskó, Gábor Kozma, Szilvia Veszelka, Mária A Deli and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 54 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

12 authors at 2 institutions in 1 country.

Hussein AkelFaculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, H-6720 Szeged, Hungary.ORCID 0000-0003-4453-9545
Ildikó CsókaFaculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, H-6720 Szeged, Hungary.ORCID 0000-0003-0807-2781
Rita AmbrusFaculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, H-6720 Szeged, Hungary.ORCID 0000-0001-5496-1710
Alexandra BocsikBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.
Ilona GrófBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.
Mária MészárosBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.
Anikó SzecskóBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.
Gábor KozmaDepartment of Applied & Environmental Chemistry, Faculty of Science and Informatics, Rerrich Béla Sqr. 1, H-6720 Szeged, Hungary.ORCID 0000-0003-2033-0720
Szilvia VeszelkaBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.ORCID 0000-0001-8864-1184
Mária A DeliBiological Research Centre, Institute of Biophysics, Temesvári Blvd. 62, H-6726 Szeged, Hungary.ORCID 0000-0001-6084-6524
Zoltán KónyaDepartment of Applied & Environmental Chemistry, Faculty of Science and Informatics, Rerrich Béla Sqr. 1, H-6720 Szeged, Hungary.ORCID 0000-0002-9406-8596
Gábor KatonaFaculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Eötvös Str. 6, H-6720 Szeged, Hungary.ORCID 0000-0003-1564-4813
HUN-REN Szegedi Biológiai Kutatóközpont · HUUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain insulin metabolism alteration has been addressed as a pathophysiological factor underlying Alzheimer's disease (AD). Insulin can be beneficial in AD, but its macro-polypeptide nature negatively influences the chances of reaching the brain. The intranasal (IN) administration of therapeutics in AD suggests improved brain-targeting. Solid lipid nanoparticles (SLNs) and poly(lactic-co-glycolic acid) nanoparticles (PLGA NPs) are promising carriers to deliver the IN-administered insulin to the brain due to the enhancement of the drug permeability, which can even be improved by chitosan-coating. In the present study, uncoated and chitosan-coated insulin-loaded SLNs and PLGA NPs were formulated and characterized. The obtained NPs showed desirable physicochemical properties supporting IN applicability. The in vitro investigations revealed increased mucoadhesion, nasal diffusion, and drug release rate of both insulin-loaded nanocarriers over native insulin with the superiority of chitosan-coated SLNs. Cell-line studies on human nasal epithelial and brain endothelial cells proved the safety IN applicability of nanoparticles. Insulin-loaded nanoparticles showed improved insulin permeability through the nasal mucosa, which was promoted by chitosan-coating. However, native insulin exceeded the blood-brain barrier (BBB) permeation compared with nanoparticulate formulations. Encapsulating insulin into chitosan-coated NPs can be beneficial for ensuring structural stability, enhancing nasal absorption, followed by sustained drug release.

Indexed as

BrainCell LineChitosanDrug LiberationEndothelial CellsInsulinLiposomesNanoparticlesNoseParticle SizePolyglycolic AcidChitosanInsulinLipid NanoparticlesLiposomesPolyglycolic Acidblood-brain barrier permeabilitychitosan-coatinginsulinmucoadhesionnasal mucosa permeabilitynose-to-brain deliveryPLGA nanoparticlessolid lipid nanoparticles

Identifiers

PMID34948054
PMCPMC8703723
OpenAlexW4200461960

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.