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Circulation
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Circulation
Article . 2011
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Circulation
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Growth Factor Therapy and Autologous Lymph Node Transfer in Lymphedema

Authors: Anne Saaristo; Kari Alitalo; Krista Honkonen; Ivana Kholová; Erkki Suominen; Tuomas Tammela; Johanna Lähteenvuo; +3 Authors

Growth Factor Therapy and Autologous Lymph Node Transfer in Lymphedema

Abstract

Background— Lymphedema after surgery, infection, or radiation therapy is a common and often incurable problem. Application of lymphangiogenic growth factors has been shown to induce lymphangiogenesis and to reduce tissue edema. The therapeutic effect of autologous lymph node transfer combined with adenoviral growth factor expression was evaluated in a newly established porcine model of limb lymphedema. Methods and Results— The lymphatic vasculature was destroyed within a 3-cm radius around an inguinal lymph node. Lymph node grafts and adenovirally (Ad) delivered vascular endothelial growth factor (VEGF)-C (n=5) or VEGF-D (n=9) were used to reconstruct the lymphatic network in the inguinal area; AdLacZ (β-galactosidase; n=5) served as a control. Both growth factors induced robust growth of new lymphatic vessels in the defect area, and postoperative lymphatic drainage was significantly improved in the VEGF-C/D–treated pigs compared with controls. The structure of the transferred lymph nodes was best preserved in the VEGF-C–treated pigs. Interestingly, VEGF-D transiently increased accumulation of seroma fluid in the operated inguinal region postoperatively, whereas VEGF-C did not have this side effect. Conclusions— These results show that growth factor gene therapy coupled with lymph node transfer can be used to repair damaged lymphatic networks in a large animal model and provide a basis for future clinical trials of the treatment of lymphedema.

Keywords

ta3126, Swine, Adenoviruses, Human, Genetic Vectors, Vascular Endothelial Growth Factor C, Vascular Endothelial Growth Factor D, Genetic Therapy, beta-Galactosidase, Disease Models, Animal, Seroma, Animals, Lymph Nodes, Lymphedema, ta999

  • BIP!
    Impact byBIP!
    citations
    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).
    165
    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 10%
    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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citations
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!
165
Top 1%
Top 10%
Top 1%
bronze