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Engineered Vascular Beds Provide Key Signals to Pancreatic Hormone-Producing Cells

Overview of attention for article published in PLOS ONE, July 2012
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Title
Engineered Vascular Beds Provide Key Signals to Pancreatic Hormone-Producing Cells
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040741
Pubmed ID
Authors

Keren Kaufman-Francis, Jacob Koffler, Noa Weinberg, Yuval Dor, Shulamit Levenberg

Abstract

The mechanisms underlying early islet graft failure are not entirely clear, but are thought to involve ischemic injury due to delayed vascularization. We hypothesize that blood vessels play an active role in cell-cell communications supporting islet survival and engraftment. To test this hypothesis and to uncouple endothelial cell (EC)-generated signaling stimuli from their nutritional and gas exchange functions, we developed three dimensional (3D) endothelial vessel networks in engineered pancreatic tissues prepared from islets, fibroblasts and ECs. The tri-culture setup, seeded on highly porous biocompatible polymeric scaffolds closely mimics the natural anatomical context of pancreatic vasculature. Enhanced islet survival correlating with formation of functional tube-like endothelial vessels was demonstrated. Addition of foreskin fibroblasts to islet-endothelial cultures promoted tube-like structure formation, which further supported islet survival as well as insulin secretion. Gene expression profiles of EC growth factors, extracellular matrix (ECM), morphogenes and differentiation markers were significantly different in 2D versus 3D culture systems and were further modified upon addition of fibroblasts. Implantation of prevascularized islets into diabetic mice promoted survival, integration and function of the engrafted engineered tissue, supporting the suggested role of ECs in islet survival. These findings present potential strategies for preparation of transplantable islets with increased survival prospects.

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The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Australia 2 2%
Unknown 90 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 33%
Researcher 15 16%
Student > Master 11 12%
Student > Bachelor 7 7%
Professor 6 6%
Other 12 13%
Unknown 12 13%
Readers by discipline Count As %
Engineering 19 20%
Biochemistry, Genetics and Molecular Biology 17 18%
Agricultural and Biological Sciences 16 17%
Medicine and Dentistry 16 17%
Materials Science 4 4%
Other 5 5%
Unknown 17 18%