Evidence map›Paper›PMID 38860682›Full record

ArticleACS applied materials & interfaces2024

Magnetic Particle Imaging Reveals that Iron-Labeled Extracellular Vesicles Accumulate in Brains of Mice with Metastases.

Victoria A Toomajian, Anthony Tundo, Evran E Ural, Emily M Greeson, Christopher H Contag, Ashley V Makela

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Exosome tracking by magnetic resonance imaging.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  12. Article
  13. Review
  14. Review
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.

Victoria A ToomajianInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.
Anthony TundoInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.
Evran E UralInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.
Emily M GreesonInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0002-8053-9916
Christopher H ContagInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0002-1011-8278
Ashley V MakelaInstitute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0002-2048-6832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of breast cancer remains high worldwide and is associated with a significant risk of metastasis to the brain that can be fatal; this is due, in part, to the inability of therapeutics to cross the blood-brain barrier (BBB). Extracellular vesicles (EVs) have been found to cross the BBB and further have been used to deliver drugs to tumors. EVs from different cell types appear to have different patterns of accumulation and retention as well as the efficiency of bioactive cargo delivery to recipient cells in the body. Engineering EVs as delivery tools to treat brain metastases, therefore, will require an understanding of the timing of EV accumulation and their localization relative to metastatic sites. Magnetic particle imaging (MPI) is a sensitive and quantitative imaging method that directly detects superparamagnetic iron. Here, we demonstrate MPI as a novel tool to characterize EV biodistribution in metastatic disease after labeling EVs with superparamagnetic iron oxide (SPIO) nanoparticles. Iron-labeled EVs (FeEVs) were collected from iron-labeled parental primary 4T1 tumor cells and brain-seeking 4T1BR5 cells, followed by injection into the mice with orthotopic tumors or brain metastases. MPI quantification revealed that FeEVs were retained for longer in orthotopic mammary carcinomas compared to SPIOs. MPI signal due to iron could only be detected in brains of mice bearing brain metastases after injection of FeEVs, but not SPIOs, or FeEVs when mice did not have brain metastases. These findings indicate the potential use of EVs as a therapeutic delivery tool in primary and metastatic tumors.

Indexed as

Brain NeoplasmsExtracellular VesiclesAnimalsBrainBreast NeoplasmsCell Line, TumorFemaleHumansIronMagnetic Iron Oxide NanoparticlesMagnetite NanoparticlesMiceMice, Inbred BALB CIronMagnetite Nanoparticlesbrain metastasisbreast cancerexosomeextracellular vesiclesmagnetic particle imaging

Identifiers

PMID38860682
PMCPMC11194773

What Socratic 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 Socratic graph.