Evidence map›Paper›PMID 26483608›Full record

ArticleMagnetic resonance insights2015

The Interface Between Iron Metabolism and Gene-Based Iron Contrast for MRI.

Donna E Goldhawk, Neil Gelman, Anindita Sengupta, Frank S Prato

Abstract read
In one paragraph

Article in Magnetic resonance insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Hybrid PET/MR imaging in myocardial inflammation post-myocardial infarction.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  3. Article
  4. Article
  5. Article
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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

4 authors at 1 institution in 1 country.

Donna E GoldhawkImaging Program, Lawson Health Research Institute, London, Canada. ; Medical Biophysics, Western University, London, Canada. ; Collaborative Graduate Program in Molecular Imaging, Western University, London, Canada.
Neil GelmanImaging Program, Lawson Health Research Institute, London, Canada. ; Medical Biophysics, Western University, London, Canada.
Anindita SenguptaImaging Program, Lawson Health Research Institute, London, Canada. ; Medical Biophysics, Western University, London, Canada. ; Collaborative Graduate Program in Molecular Imaging, Western University, London, Canada.
Frank S PratoImaging Program, Lawson Health Research Institute, London, Canada. ; Medical Biophysics, Western University, London, Canada.
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a gene-based approach to track cellular and molecular activity with magnetic resonance imaging (MRI) has many advantages. The strong correlation between transverse relaxation rates and total cellular iron content provides a basis for developing sensitive and quantitative detection of MRI reporter gene expression. In addition to biophysical concepts, general features of mammalian iron regulation add valuable context for interpreting molecular MRI predicated on gene-based iron labeling. With particular reference to the potential of magnetotactic bacterial gene expression as a magnetic resonance (MR) contrast agent for mammalian cell tracking, studies in different cell culture models highlight the influence of intrinsic iron regulation on the MRI signal. The interplay between dynamic regulation of mammalian iron metabolism and expression systems designed to sequester iron biominerals for MRI is presented from the perspective of their potential influence on MR image interpretation.

Indexed as

cell contrastiron regulationMagA expressionmagnetic resonance imagingmolecular imagingtransverse relaxation rates

Identifiers

PMID26483608
PMCPMC4597585
OpenAlexW2136054697

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.