Evidence map›Paper›PMID 23714179›Full record

ArticleBMC biology2013

Bacteria tracking by in vivo magnetic resonance imaging.

Verena Hoerr, Lorena Tuchscherr, Jana Hüve, Nadine Nippe, Karin Loser, Nataliya Glyvuk, Yaroslav Tsytsyura, Michael Holtkamp, Cord Sunderkötter, Uwe Karst and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.3field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 67 citations in OpenAlex.

  1. Metabolic Gadolinium Labeling ofBiomaterials research · 2026
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  3. Article
  4. Review
  5. Superparamagnetic Iron Oxide-LabeledJournal of parasitology research · 2023
    Article
  6. MicrobiotaHeliyon · 2022
    Review
  7. Review
  8. Multimodal Tracking of ControlledACS infectious diseases · 2019
    Article
  9. Review
  10. Review
  11. Article
  12. Advances in Imaging Specific Mediators of Inflammatory Bowel Disease.International journal of molecular sciences · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

14 authors at 2 institutions in 1 country.

Verena HoerrDepartment of Clinical Radiology, University Hospital Münster, Münster 48149, Germany.
Lorena Tuchscherr
Jana Hüve
Nadine Nippe
Karin Loser
Nataliya Glyvuk
Yaroslav Tsytsyura
Michael Holtkamp
Cord Sunderkötter
Uwe Karst
Jürgen Klingauf
Georg Peters
Bettina Löffler
Cornelius Faber
University Hospital Münster · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent non-invasive real-time imaging techniques have been developed over the last decades to study bacterial pathogenic mechanisms in mouse models by following infections over a time course. In vivo investigations of bacterial infections previously relied mostly on bioluminescence imaging (BLI), which is able to localize metabolically active bacteria, but provides no data on the status of the involved organs in the infected host organism. In this study we established an in vivo imaging platform by magnetic resonance imaging (MRI) for tracking bacteria in mouse models of infection to study infection biology of clinically relevant bacteria.

resultsWe have developed a method to label Gram-positive and Gram-negative bacteria with iron oxide nano particles and detected and pursued these with MRI. The key step for successful labeling was to manipulate the bacterial surface charge by producing electro-competent cells enabling charge interactions between the iron particles and the cell wall. Different particle sizes and coatings were tested for their ability to attach to the cell wall and possible labeling mechanisms were elaborated by comparing Gram-positive and -negative bacterial characteristics. With 5-nm citrate-coated particles an iron load of 0.015 ± 0.002 pg Fe/bacterial cell was achieved for Staphylococcus aureus. In both a subcutaneous and a systemic infection model induced by iron-labeled S. aureus bacteria, high resolution MR images allowed for bacterial tracking and provided information on the morphology of organs and the inflammatory response.

conclusionLabeled with iron oxide particles, in vivo detection of small S. aureus colonies in infection models is feasible by MRI and provides a versatile tool to follow bacterial infections in vivo. The established cell labeling strategy can easily be transferred to other bacterial species and thus provides a conceptual advance in the field of molecular MRI.

Indexed as

Magnetic Resonance ImagingAnimalsDisease Models, AnimalEscherichia coliFerric CompoundsHumansHuman Umbilical Vein Endothelial CellsIronMacrophagesMiceMicroscopy, FluorescenceNanoparticlesPhagocytosisReproducibility of ResultsStaining and LabelingStaphylococcal InfectionsFerric Compoundsferric oxideIron

Identifiers

PMID23714179
PMCPMC3686665
OpenAlexW2097557044

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.