Evidence map›Paper›PMID 26616677›Full record

ArticleScientific reports2015

Targeted gold-coated iron oxide nanoparticles for CD163 detection in atherosclerosis by MRI.

Carlos Tarin, Monica Carril, Jose Luis Martin-Ventura, Irati Markuerkiaga, Daniel Padro, Patricia Llamas-Granda, Juan Antonio Moreno, Isabel García, Nuria Genicio, Sandra Plaza-Garcia and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 75 citations in OpenAlex.

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  9. Anti-atherosclerotic therapies: Milestones, challenges, and emerging innovations.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
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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

13 authors at 3 institutions in 1 country.

Carlos TarinLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
Monica CarrilLaboratorio de Gliconanotecnología. Biofunctional Nanomaterials Unit. CIC biomaGUNE. Paseo Miramón, 182, 20009, San Sebastián, Spain.
Jose Luis Martin-VenturaLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
Irati MarkuerkiagaMolecular Imaging Unit, CIC biomaGUNE, PaseoMiramón 182, 20009, San Sebastián, Spain.
Daniel PadroMolecular Imaging Unit, CIC biomaGUNE, PaseoMiramón 182, 20009, San Sebastián, Spain.
Patricia Llamas-GrandaLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
Juan Antonio MorenoLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
Isabel GarcíaLaboratorio de Gliconanotecnología. Biofunctional Nanomaterials Unit. CIC biomaGUNE. Paseo Miramón, 182, 20009, San Sebastián, Spain.
Nuria GenicioLaboratorio de Gliconanotecnología. Biofunctional Nanomaterials Unit. CIC biomaGUNE. Paseo Miramón, 182, 20009, San Sebastián, Spain.
Sandra Plaza-GarciaMolecular Imaging Unit, CIC biomaGUNE, PaseoMiramón 182, 20009, San Sebastián, Spain.
Luis Miguel Blanco-ColioLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
Soledad PenadesLaboratorio de Gliconanotecnología. Biofunctional Nanomaterials Unit. CIC biomaGUNE. Paseo Miramón, 182, 20009, San Sebastián, Spain.
Jesus EgidoLaboratorio de Patología Vascular y Renal. IIS Fundación Jiménez Díaz, Universidad Autónoma. Av. Reyes Católicos 2, 28040, Madrid, Spain.
CIC biomaGUNE · ESUniversidad Autónoma de Madrid · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD163 is a membrane receptor expressed by macrophage lineage. Studies performed in atherosclerosis have shown that CD163 expression is increased at inflammatory sites, pointing at the presence of intraplaque hemorrhagic sites or asymptomatic plaques. Hence, imaging of CD163 expressing macrophages is an interesting strategy in order to detect atherosclerotic plaques. We have prepared a targeted probe based on gold-coated iron oxide nanoparticles vectorized with an anti-CD163 antibody for the specific detection of CD163 by MRI. Firstly, the specificity of the targeted probe was validated in vitro by incubation of the probe with CD163(+) or (-) macrophages. The probe was able to selectively detect CD163(+) macrophages both in human and murine cells. Subsequently, the targeted probe was injected in 16 weeks old apoE deficient mice developing atherosclerotic lesions and the pararenal abdominal aorta was imaged by MRI. The accumulation of probe in the site of interest increased over time and the signal intensity decreased significantly 48 hours after the injection. Hence, we have developed a highly sensitive targeted probe capable of detecting CD163-expressing macrophages that could provide useful information about the state of the atheromatous lesions.

Indexed as

Ferrous CompoundsGoldMagnetite NanoparticlesAnimalsAntigens, CDAntigens, Differentiation, MyelomonocyticAtherosclerosisCD163 AntigenCell LineDisease Models, AnimalMacrophagesMagnetic Resonance ImagingMiceMice, KnockoutPlaque, AtheroscleroticReceptors, Cell SurfaceAntigens, CDAntigens, Differentiation, MyelomonocyticCD163 AntigenFerrous Compoundsferrous oxideGoldMagnetite NanoparticlesReceptors, Cell Surface

Identifiers

PMID26616677
PMCPMC4663748
OpenAlexW2396818508

What OpenQuestion holds

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LicenceCC BY
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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.