Evidence map›Paper›PMID 21600027›Full record

ArticleBMC biotechnology2011

A visible, targeted high-efficiency gene delivery and transfection strategy.

Qiao-Ying Yuan, Jing Huang, Bao-Cheng Chu, Xing-Sheng Li, Liang-Yi Si

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2011. 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
1.1field-weighted citation impact, top 22% 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, 11 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

5 authors at 4 institutions in 2 countries.

Qiao-Ying YuanDepartment of Geriatrics, Southwest Hospital, the Third Military Medical University, Chongqing 400038, China.
Jing Huang
Bao-Cheng Chu
Xing-Sheng Li
Liang-Yi Si
Chongqing University · CNArmy Medical University · CNSouthwest Hospital · CNUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo enhance myocardial angiogenic gene expression, a novel gene delivery strategy was tested. Direct intramyocardial injection of an angiogenic gene with microbubbles and insonation were applied in a dog animal model. Dogs received one of the four different treatments in conjunction with either the enhanced green fluorescence protein (EGFP) gene or the hepatocyte growth factor (HGF) gene: gene with microbubbles (MB) and ultrasound (US); gene with US; gene with MB; or the gene alone.

resultsDistribution of MB and the gene in the myocardium was visualized during the experiment. Compared with the EGFP gene group, an average 14.7-fold enhancement in gene expression was achieved in the EGFP+MB/US group (P < 0.01). Compared with the HGF gene group, an average 10.7-fold enhancement in gene expression was achieved in the HGF+MB/US group (P < 0.01). In addition, capillary density increased from 20.8 ± 3.4/mm2 in the HGF gene group to 146.7 ± 31.4/mm2 in HGF+MB/US group (P < 0.01).

conclusionsThus, direct intramyocardial injection of an angiogenic gene in conjunction with microbubbles plus insonation synergistically enhances angiogenesis. This method offers an observable gene delivery procedure with enhanced expression efficiency of the delivered gene.

Indexed as

MicrobubblesAngiogenesis Inducing AgentsAnimalsCreatine KinaseDisease Models, AnimalDogsGreen Fluorescent ProteinsHepatocyte Growth FactorMaleMyocardial InfarctionMyocardiumNeovascularization, PhysiologicTransfectionUltrasonicsAngiogenesis Inducing AgentsCreatine Kinaseenhanced green fluorescent proteinGreen Fluorescent ProteinsHepatocyte Growth Factor

Identifiers

PMID21600027
PMCPMC3112414
OpenAlexW2092403801

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.