Evidence map›Paper›PMID 15877048›Full record

ArticleGene therapy2005

In vivo NMR imaging evaluation of efficiency and toxicity of gene electrotransfer in rat muscle.

A Leroy-Willig, M F Bureau, D Scherman, P G Carlier

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Gene therapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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 3 institutions in 1 country.

A Leroy-WilligNMR Unit (AFM-CEA), Institute of Myology, IFR14, Pitié-Salpêtrière University Hospital, Paris, France.
M F Bureau
D Scherman
P G Carlier
Centre National de la Recherche Scientifique · FRInstitut de Myologie · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vivo gene electrotransfer (ET) is a simple method of gene delivery in various tissues relying on the injection of plasmid DNA followed by application of electric pulses. Noninvasive tools are needed to evaluate the ET efficiency and the resulting tissue damages. In this study, we performed ET of rat tibialis muscle after injection of either a plasmid coding for luciferase or a contrast agent (CA) detected by using magnetic resonance imaging (MRI). Plasmid expression and CA intracellular trapped quantity were compared throughout the electric field intensity range 0-300 V/cm. Although the CA trapped quantity reflects only the electropermeabilization step, both measurements were correlated. MRI measurements gave easy access to tridimensional visualization of the labelled zones where the CA has been injected and the applied electric field had a value allowing permeabilization. We also performed MRI measurements of the water transverse relaxation time T2 as an indicator of tissue modification, and tested whether another CA specific for necrosis could be used to detect muscle necrosis at high electric field intensity. In conclusion, MRI measurements may bring multiparametric information upon the efficiency and tissue toxicity of an ET protocol by using a simple and safe CA.

Indexed as

Magnetic Resonance ImagingAnimalsContrast MediaElectroporationGene ExpressionGenetic TherapyHeterocyclic CompoundsInjections, IntramuscularLuciferasesMaleMuscle, SkeletalOrganometallic CompoundsPlasmidsRatsRats, WistarContrast Mediagadolinium 1,4,7,10-tetraazacyclododecane-N,N',N'',N'''-tetraacetateHeterocyclic CompoundsLuciferasesOrganometallic Compounds

Identifiers

PMID15877048
OpenAlexW2090608134

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.