Evidence map›Paper›PMID 35314997›Full record

ArticlePharmaceutical research2022

Effect of Particle Size and Surface Charge on Nanoparticles Diffusion in the Brain White Matter.

Tian Yuan, Ling Gao, Wenbo Zhan, Daniele Dini

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
22.2field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 90 citations in OpenAlex.

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  19. Numerical simulation study of nanoparticle diffusion in gray matter.Computational and structural biotechnology journal · 2024
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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

4 authors at 3 institutions in 1 country.

Tian YuanDepartment of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK. t.yuan19@imperial.ac.uk.ORCID http://orcid.org/0000-0002-6785-0566
Ling GaoSchool of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas Hospital, London, SE1 7EH, UK.
Wenbo ZhanSchool of Engineering, King's College, University of Aberdeen, Aberdeen, AB24 3UE, UK.
Daniele DiniDepartment of Mechanical Engineering, Imperial College London, London, SW7 2AZ, UK.
Imperial College London · GBSt Thomas' Hospital · GBUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBrain disorders have become a serious problem for healthcare worldwide. Nanoparticle-based drugs are one of the emerging therapies and have shown great promise to treat brain diseases. Modifications on particle size and surface charge are two efficient ways to increase the transport efficiency of nanoparticles through brain-blood barrier; however, partly due to the high complexity of brain microstructure and limited visibility of Nanoparticles (NPs), our understanding of how these two modifications can affect the transport of NPs in the brain is insufficient.

methodsIn this study, a framework, which contains a stochastic geometric model of brain white matter (WM) and a mathematical particle tracing model, was developed to investigate the relationship between particle size/surface charge of the NPs and their effective diffusion coefficients (D) in WM.

resultsThe predictive capabilities of this method have been validated using published experimental tests. For negatively charged NPs, both particle size and surface charge are positively correlated with D before reaching a size threshold. When Zeta potential (Zp) is less negative than -10 mV, the difference between NPs' D in WM and pure interstitial fluid (IF) is limited.

conclusionA deeper understanding on the relationships between particle size/surface charge of NPs and their D in WM has been obtained. The results from this study and the developed modelling framework provide important tools for the development of nano-drugs and nano-carriers to cure brain diseases.

Indexed as

Brain DiseasesNanoparticlesWhite MatterDrug CarriersHumansParticle SizeSurface PropertiesDrug CarriersBrain diseasesBrain tissueDiffusion coefficientExtracellular spaceNanoparticles

Identifiers

PMID35314997
PMCPMC9090877
OpenAlexW4220827767

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.