Evidence map›Paper›PMID 19523454›Full record

ArticleBiochemical and biophysical research communications2009

Low-amplitude ultrasound enhances hydrodynamic-based gene delivery to rat kidney.

Yifei Xing, Eric C Pua, Xiaochun Lu, Pei Zhong

Abstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2009. 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
1.1field-weighted citation impact, top 21% 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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Improving Molecular Therapy in the Kidney.Molecular diagnosis & therapy · 2020
    Review
  4. Article
  5. Review
  6. 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

4 authors at 2 institutions in 2 countries.

Yifei XingDepartment of Mechanical Engineering and Materials Sciences, Pratt School of Engineering, Duke University, Durham, NC 27708, USA.
Eric C Pua
Xiaochun Lu
Pei Zhong
Duke University · USHuazhong University of Science and Technology · CN

Funding

Targeted gene delivery and activation by ultrasoundR01EB002682 · NIBIB · DUKE UNIVERSITY · PI ZHONG, PEI · 2003 to 2007
$1.7M
NIBIB NIH HHS R01 EB002682NIBIB NIH HHS R01-EB002682
6 · The paper itself

Abstract

The synergistic combination of hydrodynamic-based gene delivery and ultrasound was investigated to achieve improved gene transfer to the kidney. Plasmids encoding firefly luciferase and Erythropoietin (EPO) gene were delivered into the left kidney of rats by single or combinative application of renal vein hydrodynamic injection and ultrasound treatment with or without the addition of ultrasound contrast agents (UCA). Ultrasound exposure was found to enhance the efficiency of hydrodynamic-based gene delivery for both luciferase and EPO expression. An ultrasound exposure intensity of 2 W/cm2 at 10% duty cycle for 15 min, produced a maximal gene expression 4.5 times higher than hydrodynamic delivery alone. Duration, location, and tissue-specificity of gene expression were not changed by ultrasound exposure. Application of UCA reduced the intensity and exposure duration of ultrasound treatment needed for optimal expression. Appropriate application of ultrasound and UCA did not alter histological structure or impair physiological function of the treated kidney.

Indexed as

Gene Transfer TechniquesUltrasonicsAnimalsContrast MediaErythropoietinGenetic TherapyGenetic VectorsInjections, IntravenousKidneyLuciferasesMalePlasmidsRatsRats, WistarContrast MediaErythropoietinLuciferases

Identifiers

PMID19523454
PMCPMC2744214
OpenAlexW2084786675

What OpenQuestion holds

Textmetadata
LicenceTDM
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.