Evidence map›Paper›PMID 28214127›Full record

ArticleCytotherapy2017

Functionalized superparamagnetic iron oxide nanoparticles provide highly efficient iron-labeling in macrophages for magnetic resonance-based detection in vivo.

Jack Sharkey, Philip J Starkey Lewis, Michael Barrow, Salamah M Alwahsh, June Noble, Eilidh Livingstone, Ross J Lennen, Maurits A Jansen, Jaime Garcia Carrion, Neill Liptrott and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Cytotherapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Effect of clinically relevant iron oxide nanoparticles on macrophage polarization, tumor growth and tumor microenvironment modulation.Journal of controlled release : official journal of the Controlled Release Society · 2026
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  11. Imaging Constructs: The Rise of Iron Oxide Nanoparticles.Molecules (Basel, Switzerland) · 2021
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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

18 authors at 5 institutions in 1 country.

Jack SharkeyDepartment of Cellular and Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; UK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom.
Philip J Starkey LewisUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; MRC Centre for Regenerative Medicine, Little France Drive, University of Edinburgh, Edinburgh, United Kingdom.
Michael BarrowUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; Department of Chemistry, University of Liverpool, Liverpool, United Kingdom.
Salamah M AlwahshMRC Centre for Regenerative Medicine, Little France Drive, University of Edinburgh, Edinburgh, United Kingdom.
June NobleCardiovascular Sciences, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Eilidh LivingstoneMRC Centre for Regenerative Medicine, Little France Drive, University of Edinburgh, Edinburgh, United Kingdom.
Ross J LennenEdinburgh Preclinical Imaging, University of Edinburgh, Edinburgh, United Kingdom.
Maurits A JansenEdinburgh Preclinical Imaging, University of Edinburgh, Edinburgh, United Kingdom.
Jaime Garcia CarrionDepartment of Chemistry, University of Liverpool, Liverpool, United Kingdom.
Neill LiptrottMRC Centre for Drug Safety Science, Ashton Street, University of Liverpool, Liverpool, United Kingdom; European Nanomedicine Characterisation Laboratory (EU-NCL), Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom.
Shareen ForbesCardiovascular Sciences, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Dave J AdamsUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; Department of Chemistry, University of Liverpool, Liverpool, United Kingdom.
Amy E ChadwickUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; MRC Centre for Drug Safety Science, Ashton Street, University of Liverpool, Liverpool, United Kingdom.
Stuart J ForbesUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; MRC Centre for Regenerative Medicine, Little France Drive, University of Edinburgh, Edinburgh, United Kingdom.
Patricia MurrayDepartment of Cellular and Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom; UK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom.
Matthew J RosseinskyUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; Department of Chemistry, University of Liverpool, Liverpool, United Kingdom.
Christopher E GoldringUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; MRC Centre for Drug Safety Science, Ashton Street, University of Liverpool, Liverpool, United Kingdom. Electronic address: chrissy@liverpool.ac.uk.
B Kevin ParkUK Regenerative Medicine Platform Safety and Efficacy Hub, United Kingdom; MRC Centre for Drug Safety Science, Ashton Street, University of Liverpool, Liverpool, United Kingdom.
UK Regenerative Medicine PlatformUniversity of Liverpool · GBMRC Centre for Regenerative Medicine · GBThe Queen's Medical Research Institute · GBUniversity of Edinburgh · GB

Funding

Medical Research Council MR/K017047/1Medical Research Council MR/K026739/1Medical Research Council MR/L012707/1
6 · The paper itself

Abstract

BACKGROUND

aimsTracking cells during regenerative cytotherapy is crucial for monitoring their safety and efficacy. Macrophages are an emerging cell-based regenerative therapy for liver disease and can be readily labeled for medical imaging. A reliable, clinically applicable cell-tracking agent would be a powerful tool to study cell biodistribution.

methodsUsing a recently described chemical design, we set out to functionalize, optimize and characterize a new set of superparamagnetic iron oxide nanoparticles (SPIONs) to efficiently label macrophages for magnetic resonance imaging-based cell tracking in vivo.

resultsA series of cell health and iron uptake assays determined that positively charged SPIONs (+16.8 mV) could safely label macrophages more efficiently than the formerly approved ferumoxide (-6.7 mV; Endorem) and at least 10 times more efficiently than the clinically approved SPION ferumoxytol (-24.2 mV; Rienso). An optimal labeling time of 4 h at 25 µg/mL was demonstrated to label macrophages of mouse and human origin without any adverse effects on cell viability whilst providing substantial iron uptake (>5 pg Fe/cell) that was retained for 7 days in vitro. SPION labeling caused no significant reduction in phagocytic activity and a shift toward a reversible M1-like phenotype in bone marrow-derived macrophages (BMDMs). Finally, we show that SPION-labeled BMDMs delivered via the hepatic portal vein to mice are localized in the hepatic parenchyma resulting in a 50% drop in T2* in the liver. Engraftment of exogenous cells was confirmed via immunohistochemistry up to 3 weeks posttransplantation. DISCUSSION: A positively charged dextran-coated SPION is a promising tool to noninvasively track hepatic macrophage localization for therapeutic monitoring.

Indexed as

AnimalsBone Marrow CellsBone Marrow TransplantationCells, CulturedCell SurvivalCell TrackingDextransFerrosoferric OxideHumansIronLiver CirrhosisMacrophagesMagnetic Resonance ImagingMagnetite NanoparticlesMaleMiceDextransFerrosoferric OxideferumoxidesIronMagnetite Nanoparticlescell therapycell trackingliver fibrosismacrophageMRI

Identifiers

PMID28214127
PMCPMC5357746
OpenAlexW2588687901

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.