Evidence map›Paper›PMID 36528614›Full record

ArticleJournal of nanobiotechnology2022

Influence of magnetic nanoparticle biotransformation on contrasting efficiency and iron metabolism.

Alexey V Yaremenko, Ivan V Zelepukin, Ilya N Ivanov, Roman O Melikov, Nadezhda A Pechnikova, Dzhuliia Sh Dzhalilova, Aziz B Mirkasymov, Vera A Bragina, Maxim P Nikitin, Sergey M Deyev and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. How Key in vivo Models Can Advance Anticancer Nanotherapeutics.International journal of nanomedicine · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. 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

11 authors at 9 institutions in 2 countries.

Alexey V Yaremenko *Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. aleksei.iaremenko@fulbrightmail.org.
Ivan V Zelepukin *Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997, Moscow, Russia.
Ilya N IvanovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997, Moscow, Russia.
Roman O MelikovEngelhardt Institute of Molecular Biology of Russian Academy of Sciences, 119991, Moscow, Russia.
Nadezhda A PechnikovaSaint Petersburg State University, 199034, Saint Petersburg, Russia.
Dzhuliia Sh DzhalilovaAvtsyn Research Institute of Human Morphology of Federal State Budgetary Scientific Institution, Petrovsky National Research Centre of Surgery, 117418, Moscow, Russia.
Aziz B MirkasymovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997, Moscow, Russia.
Vera A BraginaProkhorov General Physics Institute of the Russian Academy of Sciences, 119991, Moscow, Russia.
Maxim P NikitinSirius University of Science and Technology, 354340, Sirius, Russia.
Sergey M DeyevShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997, Moscow, Russia.
Petr I NikitinNational Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409, Moscow, Russia. nikitin@kapella.gpi.ru.
Moscow Engineering Physics Institute · RUEngelhardt Institute of Molecular Biology · RUHarvard University · USInstitute of Bioorganic Chemistry · RUPirogov Russian National Research Medical University · RUProkhorov General Physics Institute · RUResearch Institute of Human Morphology · RUSirius University of Science and Technology · RUSt Petersburg University · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2022-315
6 · The paper itself

Abstract

Magnetic nanoparticles are widely used in biomedicine for MRI imaging and anemia treatment. The aging of these nanomaterials in vivo may lead to gradual diminishing of their contrast properties and inducing toxicity. Here, we describe observation of the full lifecycle of 40-nm magnetic particles from their injection to the complete degradation in vivo and associated impact on the organism. We found that in 2 h the nanoparticles were eliminated from the bloodstream, but their initial biodistribution changed over time. In 1 week, a major part of the nanoparticles was transferred to the liver and spleen, where they degraded with a half-life of 21 days. MRI and a magnetic spectral approach revealed preservation of contrast in these organs for more than 1 month. The particle degradation led to the increased number of red blood cells and blood hemoglobin level due to released iron without causing any toxicity in tissues. We also observed an increase in gene expression level of Fe-associated proteins such as transferrin, DMT1, and ferroportin in the liver in response to the iron particle degradation. A deeper understanding of the organism response to the particle degradation can bring new directions to the field of MRI contrast agent design.

Indexed as

Magnetite NanoparticlesBiotransformationContrast MediaIronMagnetic Resonance ImagingMagneticsTissue DistributionContrast MediaIronMagnetite NanoparticlesBiodistributionIron gene expressionMagnetic nanoparticlesMononuclear phagocyte systemNanoparticle degradationPharmacokineticsToxicity

Identifiers

PMID36528614
PMCPMC9758463
OpenAlexW4312066290

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.