Purpose The purpose of this study was to investigate whether ultrasound-targeted cationic microbubble destruction could effectively deliver endostatin-green fluorescent protein (ES-GFP) plasmids to human retinal vascular endothelial cells (HRECs). Methods Cationic microbubbles (CMBs) were prepared and then compared with neutral microbubbles (NMBs) and liposomes. First, the two types of microbubbles were characterized in terms of size and zeta potential. The cell viability of the HRECs was measured using the 3-(4,5-dimthylthiazol-2-yl)-2,5 diphenyl-tetrazolium bromide (MTT) assay. The transcription and expression of endostatin, VEGF, Bcl-2, and Bcl-xl were measured via quantitative real-time PCR (qPCR) and western blotting, respectively. Results CMBs differed significantly from NMBs in terms of the zeta potential, but no differences in size were detected. Following ultrasound-targeted microbubble destruction (UTMD)-mediated gene therapy, the transcription and expression of endostatin were highest in the CMB group (p<0.05), while the transcription and expression of VEGF, Bcl-2, and Bcl-xl were lowest compared with the other groups. Moreover, the inhibition of HREC growth was enhanced following treatment with CMBs compared with NMBs or liposomes in vitro (p<0.01). Conclusions This study demonstrated that ultrasound-mediated cationic microbubbles could enhance the transfection efficiency of ES-GFP, which had obvious impacts on the inhibition of the growth process of HRECs in vitro. These results suggest that the combination of UTMD and ES-GFP compounds might be a useful tool for gene therapy targeting retinal neovascularization.
Experimental endostatin-GFP gene transfection into human retinal vascular endothelial cells using ultrasound-targeted cationic microbubble destruction
Yan Xu,Zongyuan Xie,Yu Zhou,Xiyuan Zhou,Pan Li,Zhigang Wang,Qunxia Zhang
Published 2015 in Molecular Vision
ABSTRACT
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- Publication year
2015
- Venue
Molecular Vision
- Publication date
2015-08-25
- Fields of study
Biology, Medicine, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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