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Journal of Tissue Engineering and Regenerative Medicine
Article
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Journal of Tissue Engineering and Regenerative Medicine
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Endothelialization mechanisms in vascular grafts

Authors: Paolo F. Sánchez; Eric M. Brey; Juan Carlos Briceño;

Endothelialization mechanisms in vascular grafts

Abstract

Despite the wide variety of tissue-engineered vascular grafts that are currently being developed, autologous vessels, such as the saphenous vein, are still the gold standard grafts for surgical treatment of vascular disease. Recently developed technologies have shown promising results in preclinical studies, but they still do not overcome the issues that native vessels present, and only a few have made the transition into clinical use. The endothelial lining is a key aspect for the success or failure of the grafts, especially on smaller diameter grafts (<5 mm). However, during the design and evaluation of the grafts, the mechanisms for the formation of this layer are not commonly examined. Therefore, a significant amount of established research might not be relevant to the clinical context, due to important differences that exist between the vascular regeneration mechanisms found in animal models and humans. This article reviews current knowledge about endothelialization mechanisms that have been so far identified: in vitro seeding, transanastomotic growth, transmural infiltration, and fallout endothelialization. Emphasis is placed on the models used for study of theses mechanisms and their effects on the development of tissue-engineering vascular conduits.

Keywords

Models, Animal, Animals, Endothelial Cells, Humans, Neovascularization, Physiologic, Endothelium, Vascular, Vascular Diseases, Vascular Remodeling, Blood Vessel Prosthesis

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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!
131
Top 1%
Top 10%
Top 1%
hybrid