Literature DB >> 23206465

Endostatin gene therapy for endometriosis in rats.

T T Zhang1, X L Fang, J Gang.   

Abstract

OBJECTIVE: Endostatin gene therapy for endometriosis was studied in an experimental autotransplantation model in rats.
METHODS: Endometriotic lesions were transfected by intralesional injection of the plasmid lipofectamine-endostatin-pBud (group 1), lipofectamine-pBud (empty vector; group 2) or phosphate-buffered saline (group 3). Endostatin mRNA and protein levels in lesions were evaluated by quantitative real-time reverse transcription-polymerase chain reaction and Western blot analysis. Endostatin and vascular endothelial growth factor (VEGF) protein levels in serum, and microvessel density (MVD) and matrix metalloproteinase (MMP)-2 protein levels in endometriotic lesions, were also determined.
RESULTS: Lipofectamine-endostatin-pBud injection increased endostatin mRNA and protein levels in lesions. Lesions were significantly smaller, and serum VEGF levels significantly lower, in group 1 versus controls. Serum VEGF was significantly and negatively correlated with serum endostatin. In group 1, MMP-2 levels and MVD were significantly lower versus controls. MMP-2 level was negatively correlated with endostatin.
CONCLUSIONS: Gene therapy with endostatin appears to be an effective treatment for endometriosis. Restoration of endostatin gene expression by gene transfer in vivo might be a potential gene therapy approach for human endometriosis.

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Year:  2012        PMID: 23206465     DOI: 10.1177/030006051204000522

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  2 in total

Review 1.  Endostatin's emerging roles in angiogenesis, lymphangiogenesis, disease, and clinical applications.

Authors:  Amit Walia; Jessica F Yang; Yu-Hui Huang; Mark I Rosenblatt; Jin-Hong Chang; Dimitri T Azar
Journal:  Biochim Biophys Acta       Date:  2015-09-12

Review 2.  Efficacy of Anti-VEGF/VEGFR Agents on Animal Models of Endometriosis: A Systematic Review and Meta-Analysis.

Authors:  Shuangge Liu; Xiaoyan Xin; Teng Hua; Rui Shi; Shuqi Chi; Zhishan Jin; Hongbo Wang
Journal:  PLoS One       Date:  2016-11-17       Impact factor: 3.240

  2 in total

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