Evidence map›Paper›PMID 15912272›Full record

ReviewMolecular imaging and biology

Noninvasive imaging of cardiac gene expression and its future implications for molecular therapy.

Frank M Bengel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. PET and SPECT in heart failure.Current cardiology reports · 2013
    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

1 author at 1 institution in 1 country.

Frank M BengelNuklearmedizinische Klinik und Poliklinik, Technische Universität München, Klinikum rechts der Isar, Ismaninger Str. 22, 81675, Munich, Germany. frank.bengel@lrz.tu-muenchen.de
Nuklearmedizinische Klinik des Klinikums rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative approaches for cardiovascular molecular therapy are rapidly evolving, and translational efforts from experimental to clinical application are increasing. Gene and cell therapy hold promise for treatment of heart disease, but despite progress, some basic principles are still under development. Open issues are, e.g., related to the optimal method for delivery, to therapeutic efficacy, to time course and magnitude of gene expression, and to the fate of transplanted cells in target and remote areas. The use of reporter genes and labeled reporter probes for noninvasive imaging provides the methodology to address these questions by assessment of location, magnitude, and persistence of transgene expression in the heart and the whole body. Coexpression of a reporter gene allows for indirect imaging of the expression of a therapeutic gene of choice. Furthermore, reporter genes can be transferred to stem cells prior to transplantation for serial monitoring of cell viability using gene product imaging. Additionally, functional effects of therapy on the tissue level can be identified using established imaging approaches to determine blood flow, metabolism, innervation, or cell death. Measures of transgene expression can then be linked to physiologic effects and will refine the understanding of basic therapeutic mechanisms. Noninvasive gene-targeted imaging will thus enhance the determination of therapeutic effects in cardiovascular molecular therapy in the future.

Indexed as

Genetic TherapyMolecular Probe TechniquesAnimalsGene Expression RegulationGenes, ReporterHeart DiseasesHumans

Identifiers

PMID15912272
OpenAlexW1992624752

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.