Evidence map›Paper›PMID 26448434›Full record

ArticlePloS one2015

Identification of High-Risk Plaques by MRI and Fluorescence Imaging in a Rabbit Model of Atherothrombosis.

Ning Hua, Fred Baik, Tuan Pham, Alkystis Phinikaridou, Nick Giordano, Beth Friedman, Michael Whitney, Quyen T Nguyen, Roger Y Tsien, James A Hamilton

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Protease-Sensitive Nanomaterials for Cancer Therapeutics and Imaging.Industrial & engineering chemistry research · 2017
    Review
  8. Article
  9. Review
  10. Observational
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.

Ning HuaDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Fred BaikDivision of Head and Neck Surgery, University of California at San Diego, La Jolla, California, United States of America.
Tuan PhamDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
Alkystis PhinikaridouDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Nick GiordanoDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Beth FriedmanDepartment of Pharmacology, University of California at San Diego, La Jolla, California, United States of America.
Michael WhitneyDepartment of Pharmacology, University of California at San Diego, La Jolla, California, United States of America.
Quyen T NguyenDivision of Head and Neck Surgery, University of California at San Diego, La Jolla, California, United States of America.
Roger Y TsienDepartment of Pharmacology, University of California at San Diego, La Jolla, California, United States of America; Howard Hughes Medical Institute, University of California at San Diego, La Jolla, CA, United States of America.
James A HamiltonDepartment of Physiology and Biophysics, Boston University School of Medicine, Boston, Massachusetts, United States of America.

Funding

Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
Injectable reporters to image tumors and guide resectionR01CA158448 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NGUYEN, QUYEN · 2011 to 2015
$3.1M
Howard Hughes Medical InstituteNCI NIH HHS CA158448NCI NIH HHS R01 CA158448NIA NIH HHS P30 AG013846
6 · The paper itself

Abstract

introductionThe detection of atherosclerotic plaques at risk for disruption will be greatly enhanced by molecular probes that target vessel wall biomarkers. Here, we test if fluorescently-labeled Activatable Cell Penetrating Peptides (ACPPs) could differentiate stable plaques from vulnerable plaques that disrupt, forming a luminal thrombus. Additionally, we test the efficacy of a combined ACPP and MRI technique for identifying plaques at high risk of rupture. METHODS AND

resultsIn an atherothrombotic rabbit model, disrupted plaques were identified with in vivo MRI and co-registered in the same rabbit aorta with the in vivo uptake of ACPPs, cleaved by matrix metalloproteinases (MMPs) or thrombin. ACPP uptake, mapped ex vivo in whole aortas, was higher in disrupted compared to non-disrupted plaques. Specifically, disrupted plaques demonstrated a 4.5~5.0 fold increase in fluorescence enhancement, while non-disrupted plaques showed only a 2.2~2.5 fold signal increase. Receiver operating characteristic (ROC) analysis indicates that both ACPPs (MMP and thrombin) show high specificity (84.2% and 83.2%) and sensitivity (80.0% and 85.7%) in detecting disrupted plaques. The detection power of ACPPs was improved when combined with the MRI derived measure, outward remodeling ratio.

conclusionsOur targeted fluorescence ACPP probes distinguished disrupted plaques from stable plaques with high sensitivity and specificity. The combination of anatomic, MRI-derived predictors for disruption and ACPP uptake can further improve the power for identification of high-risk plaques and suggests future development of ACPPs with molecular MRI as a readout.

Indexed as

Magnetic Resonance ImagingOptical ImagingPlaque, AtheroscleroticAnimalsAortaAtherosclerosisCell-Penetrating PeptidesDiet, High-FatDisease Models, AnimalFluorescent DyesMaleMatrix MetalloproteinasesRabbitsRadiographyROC CurveThrombinCell-Penetrating PeptidesFluorescent DyesMatrix MetalloproteinasesThrombin

Identifiers

PMID26448434
PMCPMC4598148

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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.