Evidence map›Paper›PMID 33963045›Full record

ReviewJournal of nuclear medicine : official publication, Society of Nuclear Medicine2021

Imaging Immunometabolism in Atherosclerosis.

Philip Z Mannes, Sina Tavakoli

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2021. 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
3.5field-weighted citation impact, top 6% 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, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular imaging of chemokine-like receptor 1 (CMKLR1) in experimental acute lung injury.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Molecular imaging
    Article
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

2 authors at 2 institutions in 1 country.

Philip Z MannesDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Sina TavakoliDepartment of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania; sit23@pitt.edu.
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

A Molecular Imaging Approach to Immuno-Metabolic Characterization of Vessel Wall MacrophagesK08HL144911 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAVAKOLI, SINA · 2019 to 2023
$813k
Novel Protease-Activatable Tracers for Targeted Imaging of Chemerin Receptor in InflammationR21EB027871 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAVAKOLI, SINA · 2020 to 2022
$626k
NHLBI NIH HHS K08 HL144911NIBIB NIH HHS R21 EB027871
6 · The paper itself

Abstract

Over the past decade, there has been a growing recognition of the links between intracellular metabolism and immune cell activation, that is, immunometabolism, and its consequences in atherogenesis. However, most immunometabolic investigations have been conducted in cultured cells through pharmacologic or genetic manipulations of selected immunologic or metabolic pathways, limiting their extrapolation to the complex microenvironment of plaques. In vivo metabolic imaging is ideally situated to address this gap and to determine the clinical implications of immunometabolic alterations for diagnosis and management of patients. Indeed,

Indexed as

AtherosclerosisAnimalsFluorodeoxyglucose F18HumansMacrophagesMolecular ImagingPositron-Emission TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsatherosclerosisimmunometabolisminflammationmacrophagemetabolic imagingmolecular imaging

Identifiers

PMID33963045
PMCPMC8882876
OpenAlexW3158790642

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.