Evidence map›Paper›PMID 23371306›Full record

ArticleRadiology2013

Molecular imaging of inflammation in inflammatory bowel disease with a clinically translatable dual-selectin-targeted US contrast agent: comparison with FDG PET/CT in a mouse model.

Huaijun Wang, Steven Machtaler, Thierry Bettinger, Amelie M Lutz, Richard Luong, Philippe Bussat, Sanjiv S Gambhir, François Tranquart, Lu Tian, Jürgen K Willmann

Abstract readComparative Study
In one paragraph

Article in Radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Molecular Ultrasound Imaging.Nanomaterials (Basel, Switzerland) · 2020
    Review
  7. Toward Molecular Imaging of Intestinal Pathology.Inflammatory bowel diseases · 2020
    Review
  8. Role of GdOncology letters · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A novel dual-targeted ultrasound contrast agent provides improvement of gene delivery efficiency in vitro.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. Diagnostic imaging advances in murine models of colitis.World journal of gastroenterology · 2016
    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

10 authors.

Huaijun WangDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, 300 Pasteur Dr, Room H1307; Stanford, CA 94305-5621, USA.
Steven Machtaler
Thierry Bettinger
Amelie M Lutz
Richard Luong
Philippe Bussat
Sanjiv S Gambhir
François Tranquart
Lu Tian
Jürgen K Willmann

Funding

Proteomics/GenomicsP30DK056339 · NIDDK · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2001 to 2010
$10.4M
Quantification and monitoring inflammation in IBD with Molecular UltrasoundR01DK092509 · NIDDK · STANFORD UNIVERSITY · PI HARGREAVES, BRIAN ANDREW · 2012 to 2016
$2.4M
NIDDK NIH HHS DK56339NIDDK NIH HHS P30 DK056339NIDDK NIH HHS R01 DK092509NIDDK NIH HHS R01DK092509-01A1
6 · The paper itself

Abstract

purposeTo develop and test a molecular imaging approach that uses ultrasonography (US) and a clinically translatable dual-targeted (P- and E-selectin) contrast agent (MBSelectin) in the quantification of inflammation at the molecular level and to quantitatively correlate selectin-targeted US with fluorodeoxyglucose (FDG) combined positron emission tomography (PET) and computed tomography (CT) in terms of visualization and quantification of different levels of inflammation in a murine acute colitis model. MATERIALS AND

methodsAnimal studies were approved by the Institutional Administrative Panel on Laboratory Animal Care at Stanford University. MBSelectin was developed by covalently binding an analog of the naturally occurring binding ligand P-selectin glycoprotein ligand 1 fused to a human fragment crystallizable(or Fc) domain onto the lipid shell of perfluorobutane and nitrogen-containing MBs. Binding specificity of MBSelectin was assessed in vitro with a flow chamber assay and in vivo with a chemically induced acute colitis murine model. US signal was quantitatively correlated with FDG uptake at PET/CT and histologic grade. Statistical analysis was performed with the Student t test, analysis of variance, and Pearson correlation analysis.

resultsMBSelectin showed strong attachment to both human and mouse P- and E-selectin compared with MBControl in vitro (P ≤ .002). In vivo, US signal was significantly increased (P < .001) in mice with acute colitis (173.8 arbitrary units [au] ± 134.8 [standard deviation]) compared with control mice (5.0 au ± 4.5). US imaging signal strongly correlated with FDG uptake on PET/CT images (ρ = 0.89, P < .001). Ex vivo analysis enabled confirmation of inflammation in mice with acute colitis and high expression levels of P- and E-selectin in mucosal capillaries (P = .014).

conclusionUS with MBSelectin specifically enables detection and quantification of inflammation in a murine acute colitis model, leveraging the natural pathway of leukocyte recruitment in inflammatory tissue. US imaging with MBSelectin correlates well with FDG uptake at PET/CT imaging.

Indexed as

Contrast MediaE-SelectinMultimodal ImagingPositron-Emission TomographyP-SelectinTomography, X-Ray ComputedAnalysis of VarianceAnimalsDisease Models, AnimalFluorodeoxyglucose F18Immunoglobulin GInflammatory Bowel DiseasesMiceMice, Inbred BALB CMolecular ImagingRadiopharmaceuticalsContrast MediaE-SelectinFluorodeoxyglucose F18Immunoglobulin GP-SelectinRadiopharmaceuticals

Identifiers

PMID23371306
PMCPMC3662899

What OpenQuestion holds

Textmetadata
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.