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American Journal Of Pathology
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Vascular Endothelial Growth Factor-C Accelerates Diabetic Wound Healing

Authors: Anne, Saaristo; Tuomas, Tammela; Anniina, Farkkilā; Marika, Kärkkäinen; Erkki, Suominen; Seppo, Yla-Herttuala; Kari, Alitalo;

Vascular Endothelial Growth Factor-C Accelerates Diabetic Wound Healing

Abstract

Diabetes impairs numerous aspects of tissue repair. Failure of wound angiogenesis is known to delay diabetic wound healing, whereas the importance of lymphangiogenesis for wound healing is unclear. We have examined whether overexpression of vascular endothelial growth factor (VEGF)-C via an adenoviral vector could improve the healing of full-thickness punch biopsy wounds in genetically diabetic (db/db) mice. We found that VEGF-C enhanced angiogenesis and lymphangiogenesis in the wound and significantly accelerated wound healing in comparison to the control wounds. VEGF-C also recruited inflammatory cells, some of which expressed VEGFR-3. On the other hand, when the function of endogenous VEGF-C/VEGF-D was blocked with a specific inhibitor, wound closure was delayed even further. These results suggest a function for VEGF-C in wound healing and demonstrate the therapeutic potential of VEGF-C in the treatment of diabetic wounds.

Keywords

Wound Healing, Vascular Endothelial Growth Factor C, Vascular Endothelial Growth Factor D, Gene Expression, Neovascularization, Physiologic, Mice, Transgenic, Genetic Therapy, Vascular Endothelial Growth Factor Receptor-3, Diabetes Complications, Mice, Animals, Humans, Wounds and Injuries

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    216
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
216
Top 1%
Top 1%
Top 1%
bronze