Evidence map›Paper›PMID 33303866›Full record

ArticleScientific reports2020

MRI-based molecular imaging of epicardium-derived stromal cells (EpiSC) by peptide-mediated active targeting.

Tamara Straub, Julia Nave, Pascal Bouvain, Mohammad Akbarzadeh, Siva Sai Krishna Dasa, Julia Kistner, Zhaoping Ding, Aseel Marzoq, Stefanie Stepanow, Katrin Becker and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Imaging of Thromboinflammation by MultispectralInternational journal of molecular sciences · 2025
    Review
  3. Article
  4. Review
  5. 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

17 authors.

Tamara StraubDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Julia NaveDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Pascal BouvainDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Mohammad AkbarzadehDepartment of Biochemistry and Molecular Biology II, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Siva Sai Krishna DasaRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA.
Julia KistnerDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Zhaoping DingDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Aseel MarzoqDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Stefanie StepanowBiological and Medical Research Center (BMFZ), Genomics and Transcriptomics Laboratory, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Katrin BeckerDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Julia HesseDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Karl KöhrerBiological and Medical Research Center (BMFZ), Genomics and Transcriptomics Laboratory, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Ulrich FlögelDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Mohammad R AhmadianDepartment of Biochemistry and Molecular Biology II, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Brent A FrenchDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Jürgen SchraderDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany.
Sebastian TemmeDepartment of Molecular Cardiology, Heinrich Heine University Düsseldorf, Düsseldorf, NRW, Germany. sebastian.temme@uni-duesseldorf.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After myocardial infarction (MI), epicardial cells reactivate their embryonic program, proliferate and migrate into the damaged tissue to differentiate into fibroblasts, endothelial cells and, if adequately stimulated, to cardiomyocytes. Targeting epicardium-derived stromal cells (EpiSC) by specific ligands might enable the direct imaging of EpiSCs after MI to better understand their biology, but also may permit the cell-specific delivery of small molecules to improve the post-MI healing process. Therefore, the aim of this study was to identify specific peptides by phage display screening to enable EpiSC specific cargo delivery by active targeting. To this end, we utilized a sequential panning of a phage library on cultured rat EpiSCs and then subtracted phage that nonspecifically bound blood immune cells. EpiSC specific phage were analyzed by deep sequencing and bioinformatics analysis to identify a total of 78 300 ± 31 900 different, EpiSC-specific, peptide insertion sequences. Flow cytometry of the five most highly abundant peptides (EP1, -2, -3, -7 or EP9) showed strong binding to EpiSCs but not to blood immune cells. The best binding properties were found for EP9 which was further studied by surface plasmon resonance (SPR). SPR revealed rapid and stable association of EpiSCs with EP9. As a negative control, THP-1 monocytes did not associate with EP9. Coupling of EP9 to perfluorocarbon nanoemulsions (PFCs) resulted in the efficient delivery of

Indexed as

Stromal CellsAnimalsCells, CulturedFluorocarbonsHumansMagnetic Resonance ImagingMolecular ImagingMyocardial InfarctionPeptidesPericardiumRatsSurface Plasmon ResonanceTHP-1 CellsFluorocarbonsPeptides

Identifiers

PMID33303866
PMCPMC7728754

What OpenQuestion holds

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Registered trials

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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.