Evidence map›Paper›PMID 25973795›Full record

ArticlePloS one2015

Identifying Vulnerable Atherosclerotic Plaque in Rabbits Using DMSA-USPIO Enhanced Magnetic Resonance Imaging to Investigate the Effect of Atorvastatin.

Chunmei Qi, Liangrong Deng, Dongye Li, Weiheng Wu, Lei Gong, Yong Li, Qingdui Zhang, Tao Zhang, Chao Zhang, Yu Zhang

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Molecular Imaging of Vulnerable Atherosclerotic Plaques in Animal Models.International journal of molecular sciences · 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 at 4 institutions in 1 country.

Chunmei QiGeneral Hospital of Nanjing Military Region, Xuzhou, China; Department of Cardiology, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Liangrong DengInstitute of Cardiovascular Disease, Xuzhou Medical College, Xuzhou, China.
Dongye LiGeneral Hospital of Nanjing Military Region, Xuzhou, China; Institute of Cardiovascular Disease, Xuzhou Medical College, Xuzhou, China.
Weiheng WuDepartment of Cardiology, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Lei GongDepartment of Cardiology, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Yong LiDepartment of Cardiology, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Qingdui ZhangDepartment of Cardiology, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Tao ZhangDepartment of magnetic resonance imaging, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Chao ZhangDepartment of magnetic resonance imaging, Second Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Yu ZhangLaboratory of Molecular and Boimolecular Electronics, Southeast University, Nanjing, China.
Second Affiliated Hospital of Xuzhou Medical College · CNXuzhou Medical College · CNNanjing General Hospital of Nanjing Military Command · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRupture of an atherosclerotic plaque is the primary cause of acute cardiovascular and cerebrovascular syndromes. Early and non-invasive detection of vulnerable atherosclerotic plaques (VP) would be significant in preventing some aspects of these syndromes. As a new contrast agent, dimercaptosuccinic acid (DMSA) modified ultra-small super paramagnetic iron oxide (USPIO) was synthesized and used to identify VP and rupture plaque by magnetic resonance imaging (MRI).

methodsAtherosclerosis was induced in male New Zealand White rabbits by feeding a high cholesterol diet (n = 30). Group A with atherosclerosis plaque (n = 10) were controls. VP was established in groups B (n = 10) and C (n = 10) using balloon-induced endothelial injury of the abdominal aorta. Adenovirus-carrying p53 genes were injected into the aortic segments rich in plaques after 8 weeks. Group C was treated with atorvastatin for 8 weeks. Sixteen weeks later, all rabbits underwent pharmacological triggering, and imaging were taken daily for 5 d after DMSA-USPIO infusion. At the first day and before being killed, serum MMP-9, sCD40L, and other lipid indicators were measured.

resultsDMSA-USPIO particles accumulated in VP and rupture plaques. Rupture plaques appeared as areas of hyper-intensity on DMSA-USPIO enhanced MRI, especially T2*-weighted sequences, with a signal strength peaking at 96 h. The group given atorvastatin showed few DMSA-USPIO particles and had lower levels of serum indicators. MMP-9 and sCD40L levels in group B were significantly higher than in the other 2 groups (P <0.05).

conclusionAfter successfully establishing a VP model in rabbits, DMSA-USPIO was used to enhance MRI for clear identification of plaque inflammation and rupture. Rupture plaques were detectable in this way probably due to an activating inflammatory process. Atorvastatin reduced the inflammatory response and stabilizing VP possibly by decreasing MMP-9 and sCD40L levels.

Indexed as

AnimalsAnticholesteremic AgentsAorta, AbdominalAtherosclerosisAtorvastatinCD40 LigandCholesterolContrast MediaDextransDiet, High-FatDisease Models, AnimalGene ExpressionHypercholesterolemiaMagnetic Resonance ImagingMagnetite NanoparticlesMaleAnticholesteremic AgentsAtorvastatinCD40 LigandCholesterolContrast MediaDextransferumoxtran-10Magnetite NanoparticlesMatrix Metalloproteinase 9SuccimerTumor Suppressor Protein p53

Identifiers

PMID25973795
PMCPMC4431872
OpenAlexW271332048

What OpenQuestion holds

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LicenceCC BY
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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.