Evidence map›Paper›PMID 30892348›Full record

ArticleNanoscale2019

Dynamic magnetic characterization and magnetic particle imaging enhancement of magnetic-gold core-shell nanoparticles.

Asahi Tomitaka, Satoshi Ota, Kizuku Nishimoto, Hamed Arami, Yasushi Takemura, Madhavan Nair

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
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  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Magnetism of Dendrimer-Coated Gold Nanoparticles: A Size and Functionalization Study.The journal of physical chemistry. C, Nanomaterials and interfaces · 2021
    Article
  15. Magnetic systems for cancer immunotherapy.Acta pharmaceutica Sinica. B · 2021
    Review
  16. Article
  17. Article
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 4 countries.

Asahi TomitakaDepartment of Immunology and Nano-Medicine, Institute of NeuroImmune Pharmacology, Centre for Personalized Nanomedicine, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida 33199, USA. nairm@fiu.edu.
Satoshi Ota
Kizuku Nishimoto
Hamed Arami
Yasushi Takemura
Madhavan Nair
Florida International University · USYokohama National University · JPClark Art Institute · USShizuoka University · JP

Funding

University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALLAN E RODRIGUEZ · 2007 to 2026
$33.8M
STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
Nanotechnology Based Gene Editing to Eradicate HIV Brain Reservoir in Drug AbusersR01DA042706 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI KHALILI, KAMEL, NAIR, MADHAVAN P. · 2016 to 2020
$3.2M
To evaluate the role of cannabinoid signaling during the comorbidity of HIV and Alzheimer¿s disease in the context of HIV-associated cognitive disordersR01DA040537 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2015 to 2019
$3.0M
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging BiomarkersU01CA187947 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., RUBIN, DANIEL L · 2015 to 2019
$2.9M
Cocaine in the Neuropathogenesis of HIV infection: Role of HDAC2R01DA034547 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2013 to 2018
$1.8M
Multifunctional Nanocarrier to Eradicate HIV from latently infected CNS cells andR01DA037838 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI NAIR, MADHAVAN P. · 2014 to 2018
$1.8M
NCI NIH HHS T32 CA009695NIAID NIH HHS P30 AI073961NIDA NIH HHS R01 DA034547NIDA NIH HHS R01 DA037838NIDA NIH HHS R01 DA040537NIDA NIH HHS R01 DA042706
6 · The paper itself

Abstract

Multifunctional nanoparticles with a magnetic core and gold shell structures are emerging multi-modal imaging probes for disease diagnosis, image-guided therapy, and theranostic applications. Owing to their multi-functional magnetic and plasmonic properties, these nanoparticles can be used as contrast agents in multiple complementary imaging modalities. Magnetic particle imaging (MPI) is a new pre-clinical imaging system that enables real-time imaging with high sensitivity and spatial resolution by detecting the dynamic responses of nanoparticle tracers. In this study, we evaluated the dynamic magnetic properties and MPI imaging performances of core-shell nanoparticles with a magnetic core coated with a gold shell. A change in AC hysteresis loops was detected before and after the formation of the gold shell on magnetic core nanoparticles, suggesting the influence of the core-shell interfacial effect on their dynamic magnetic properties. This alteration in the dynamic responses resulted in an enhancement of the MPI imaging capacity of magnetic nanoparticles. The gold shell coating also enabled a simple and effective functionalization of the nanoparticles with a brain glioma targeting ligand. The enhanced MPI imaging capacity and effective functionality suggest the potential application of the magnetic-gold core-shell nanoparticles for MPI disease diagnostics.

Indexed as

Cell Line, TumorCell SurvivalChloridesContrast MediaFerric CompoundsGoldHumansMagnetite NanoparticlesMicroscopy, Electron, TransmissionSulfhydryl CompoundsChloridesContrast Mediaferric chlorideFerric CompoundsGoldMagnetite NanoparticlesSulfhydryl Compounds

Identifiers

PMID30892348
PMCPMC6464385
OpenAlexW2915171664

What OpenQuestion holds

Textmetadata
LicenceTDM
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.