Evidence map›Paper›PMID 21028895›Full record

ArticleMolecular pharmaceutics2010

Multimodal clinical imaging to longitudinally assess a nanomedical anti-inflammatory treatment in experimental atherosclerosis.

Mark E Lobatto, Zahi A Fayad, Stephane Silvera, Esad Vucic, Claudia Calcagno, Venkatesh Mani, Stephen D Dickson, Klaas Nicolay, Manuela Banciu, Raymond M Schiffelers and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01418313 (In Vivo Molecular Imaging), which is not on this map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
6.3field-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.

NCT01418313 completednot on this mapstarted 2011, after this paper: background citation

In Vivo Molecular Imaging (MRI) of Atherothrombotic Lesions

TypeobservationalSponsorIcahn School of Medicine at Mount SinaiRan2011 to 2020Enrolled886ConditionsAtherosclerosis
3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 168 citations in OpenAlex.

  1. Trial
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  13. Nanomedicine for Diagnosis and Treatment of Atherosclerosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  14. Nanomedicines for cardiovascular disease.Nature cardiovascular research · 2023
    Review
  15. Review
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  20. Review

14 more citing papers are in PubMed but not listed here.

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

19 authors at 1 institution in 1 country.

Mark E LobattoTranslational and Molecular Imaging Institute and Imaging Science Laboratories, Mount Sinai School of Medicine, One Gustave L Levy Place, New York, New York 10029, United States.
Zahi A Fayad
Stephane Silvera
Esad Vucic
Claudia Calcagno
Venkatesh Mani
Stephen D Dickson
Klaas Nicolay
Manuela Banciu
Raymond M Schiffelers
Josbert M Metselaar
Louis van Bloois
Hai-Shan Wu
John T Fallon
James H Rudd
Valentin Fuster
Edward A Fisher
Gert Storm
Willem J M Mulder
Pharmo Institute · NL

Funding

MR/PET Imaging of coronary atherosclerosisR01HL071021 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FAYAD, ZAHI A. · 2002 to 2019
$7.8M
Theranostic HDL nanoparticles for inflammatory macrophages in atherosclerosisR01EB009638 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FAYAD, ZAHI A. · 2009 to 2016
$4.6M
Nanoparticles for Molecular MRI of AtherosclerosisR01HL078667 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FAYAD, ZAHI A. · 2004 to 2008
$2.5M
Advanced Microscopy Shared Resource FacilityR24CA095823 · NCI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FRIEDRICH, VICTOR LOUIS · 2002 to 2006
$1.3M
CONFOCAL MICROSCOPE FACILITYS10RR009145 · NCRR · MOUNT SINAI SCHOOL OF MEDICINE OF CUNY · PI MASUR, SANDRA K · 1994 to 1994
–
British Heart Foundation PG/09/083/27667NCI NIH HHS 5R24CA095823-04NCI NIH HHS R24 CA095823NCRR NIH HHS 1 S10 RR0 9145-01NHLBI NIH HHS R01 HL071021NHLBI NIH HHS R01 HL078667NHLBI NIH HHS R01 HL71021NHLBI NIH HHS R01 HL78667NIBIB NIH HHS R01 EB009638
6 · The paper itself

Abstract

Atherosclerosis is an inflammatory disease causing great morbidity and mortality in the Western world. To increase the anti-inflammatory action and decrease adverse effects of glucocorticoids (PLP), a nanomedicinal liposomal formulation of this drug (L-PLP) was developed and intravenously applied at a dose of 15 mg/kg PLP to a rabbit model of atherosclerosis. Since atherosclerosis is a systemic disease, emerging imaging modalities for assessing atherosclerotic plaque are being developed. (18)F-Fluoro-deoxy-glucose positron emission tomography and dynamic contrast enhanced magnetic resonance imaging, methods commonly used in oncology, were applied to longitudinally assess therapeutic efficacy. Significant anti-inflammatory effects were observed as early as 2 days that lasted up to at least 7 days after administration of a single dose of L-PLP. No significant changes were found for the free PLP treated animals. These findings were corroborated by immunohistochemical analysis of macrophage density in the vessel wall. In conclusion, this study evaluates a powerful two-pronged strategy for efficient treatment of atherosclerosis that includes nanomedical therapy of atherosclerotic plaques and the application of noninvasive and clinically approved imaging techniques to monitor delivery and therapeutic responses. Importantly, we demonstrate unprecedented rapid anti-inflammatory effects in atherosclerotic lesions after the nanomedical therapy.

Indexed as

NanomedicineAnimalsAnti-Inflammatory Agents, Non-SteroidalArteriosclerosisDisease Models, AnimalDrug Delivery SystemsGlucocorticoidsLiposomesLongitudinal StudiesMagnetic Resonance ImagingMalePositron-Emission TomographyRabbitsAnti-Inflammatory Agents, Non-SteroidalGlucocorticoidsLiposomes

Identifiers

PMID21028895
PMCPMC3345199
OpenAlexW2080041249

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.