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Treatment of Mouse Limb Ischemia with an Integrative Hypoxia-Responsive Vector Expressing the Vascular Endothelial Growth Factor Gene

Overview of attention for article published in PLOS ONE, March 2012
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Title
Treatment of Mouse Limb Ischemia with an Integrative Hypoxia-Responsive Vector Expressing the Vascular Endothelial Growth Factor Gene
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033944
Pubmed ID
Authors

Eduardo Gallatti Yasumura, Roberta Sessa Stilhano, Vívian Yochiko Samoto, Priscila Keiko Matsumoto, Leonardo Pinto de Carvalho, Valderez Bastos Valero Lapchik, Sang Won Han

Abstract

Constitutive vascular endothelial growth factor (VEGF) gene expression systems have been extensively used to treat peripheral arterial diseases, but most of the results have not been satisfactory. In this study, we designed a plasmid vector with a hypoxia-responsive element sequence incorporated into it with the phiC31 integrative system (pVHAVI) to allow long-term VEGF gene expression and to be activated under hypoxia. Repeated activations of VEGF gene expression under hypoxia were confirmed in HEK293 and C2C12 cells transfected with pVHAVI. In limb ischemic mice, the local administration of pVHAVI promoted gastrocnemius mass and force recovery and ameliorated limb necrosis much better than the group treated with hypoxia-insensitive vector, even this last group had produced more VEGF in muscle. Histological analyses carried out after four weeks of gene therapy showed increased capillary density and matured vessels, and reduced number of necrotic cells and fibrosis in pVHAVI treated group. By our study, we demonstrate that the presence of high concentration of VEGF in ischemic tissue is not beneficial or is less beneficial than maintaining a lower but sufficient and long-term concentration of VEGF locally.

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Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Researcher 7 17%
Student > Bachelor 7 17%
Student > Ph. D. Student 7 17%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 34%
Agricultural and Biological Sciences 7 17%
Medicine and Dentistry 6 15%
Psychology 2 5%
Business, Management and Accounting 2 5%
Other 7 17%
Unknown 3 7%