Evidence map›Paper›PMID 29271927›Full record

ArticleNanomaterials (Basel, Switzerland)2017

A Novel Magnetic Actuation Scheme to Disaggregate Nanoparticles and Enhance Passage across the Blood-Brain Barrier.

Ali Kafash Hoshiar, Tuan-Anh Le, Faiz Ul Amin, Myeong Ok Kim, Jungwon Yoon

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Ali Kafash HoshiarFaculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin 34199-15195, Iran. Hoshiar@Qiau.ac.ir.ORCID 0000-0002-0561-5018
Tuan-Anh LeSchool of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea. tuananhtbbk@gmail.com.
Faiz Ul AminDepartment of Biology and Applied Life Science, Gyeongsang National University, Jinju 660-701, Korea. faizgnu@gmail.com.
Myeong Ok KimDepartment of Biology and Applied Life Science, Gyeongsang National University, Jinju 660-701, Korea. mokim@gnu.ac.kr.
Jungwon YoonSchool of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea. jyoon@gist.ac.kr.ORCID 0000-0003-1350-5334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The blood-brain barrier (BBB) hinders drug delivery to the brain. Despite various efforts to develop preprogramed actuation schemes for magnetic drug delivery, the unmodeled aggregation phenomenon limits drug delivery performance. This paper proposes a novel scheme with an aggregation model for a feed-forward magnetic actuation design. A simulation platform for aggregated particle delivery is developed and an actuation scheme is proposed to deliver aggregated magnetic nanoparticles (MNPs) using a discontinuous asymmetrical magnetic actuation. The experimental results with a Y-shaped channel indicated the success of the proposed scheme in steering and disaggregation. The delivery performance of the developed scheme was examined using a realistic, three-dimensional (3D) vessel simulation. Furthermore, the proposed scheme enhanced the transport and uptake of MNPs across the BBB in mice. The scheme presented here facilitates the passage of particles across the BBB to the brain using an electromagnetic actuation scheme.

Indexed as

aggregationasymmetrical discontinuous field functionblood–brain barrier (BBB)magnetic drug deliverymagnetic nanoparticles

Identifiers

PMID29271927
PMCPMC5791090

What OpenQuestion holds

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Registered trials

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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.