Evidence map›Paper›PMID 37051321›Full record

ArticleFrontiers in molecular biosciences2023

Gold-iron oxide (Au/Fe

Elizabeth C H T Lau, Michelle Åhlén, Ocean Cheung, Alexey Y Ganin, David G E Smith, Humphrey H P Yiu

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

6 authors.

Elizabeth C H T LauInstitute of Chemical Science, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
Michelle ÅhlénDivision of Nanotechnology and Functional Materials, Department of Material Sciences and Engineering, Uppsala University, Uppsala, Sweden.
Ocean CheungDivision of Nanotechnology and Functional Materials, Department of Material Sciences and Engineering, Uppsala University, Uppsala, Sweden.
Alexey Y GaninSchool of Chemistry, University of Glasgow, Glasgow, United Kingdom.
David G E SmithInstitute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
Humphrey H P YiuInstitute of Chemical Science, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomedicine plays a crucial role in the development of next-generation therapies. The use of nanoparticles as drug delivery platforms has become a major area of research in nanotechnology. To be effective, these nanoparticles must interact with desired drug molecules and release them at targeted sites. The design of these "nanoplatforms" typically includes a functional core, an organic coating with functional groups for drug binding, and the drugs or bioactive molecules themselves. However, by exploiting the coordination chemistry between organic molecules and transition metal centers, the self-assembly of drugs onto the nanoplatform surfaces can bypass the need for an organic coating, simplifying the materials synthesis process. In this perspective, we use gold-iron oxide nanoplatforms as examples and outline the prospects and challenges of using self-assembly to prepare drug-nanoparticle constructs. Through a case study on the binding of insulin on Au-dotted Fe

Indexed as

Cys-tagcysteinedopaminedrug deliverygoldinsuliniron oxidemagnetite nanoparticle

Identifiers

PMID37051321
PMCPMC10083301

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.