Glucose-sensitive self-healing hydrogel as sacrificial materials to fabricate vascularized constructs

Link:
Autor/in:
Erscheinungsjahr:
2017
Medientyp:
Text
Schlagworte:
  • Bioprinting
  • Tissue engineering
  • Cell printing
  • Cells
  • Neoplasms
  • Hydrogels
  • Bioprinting
  • Tissue engineering
  • Cell printing
  • Cells
  • Neoplasms
  • Hydrogels
Beschreibung:
  • A major challenge in tissue engineering is the lack of proper vascularization. Although various approaches have been used to build vascular network in a tissue engineering construct, there remain some drawbacks. Herein, a glucose-sensitive self-healing hydrogel are employed as sacrificial materials to fabricate branched tubular channels within a construct. The hydrogel composes of mainly reversibly crosslinked poly(ethylene glycol) diacrylate and dithiothreitol with borax as the glucose-sensitive motif. The hydrogel is injectable and mechanically strong after injection. Moreover, it can be rapidly removed by immersion in the cell culture medium. To show the feasibility in building a vascularized tissue construct, the designed branching vascular patterns of the glucose-sensitive hydrogel are extruded and embedded in a non glucose-sensitive hydrogel containing neural stem cells. Vascular endothelial cells seeded in the lumen of the channels by perfusion can line the channel wall and migrate into the non-sacrificial hydrogel after 3 days. In long-term (similar to 14 days), the endothelial cells form capillary-like structure (vascular network) while neural stem cells form neurosphere-like structure (neural development) in the construct, revealing the morphology of ``a vascularized neural tissue{''}. The novel sacrificial materials can create complicated but easily removable structure for building a vascularized tissue construct particularly a neurovascular unit. (C) 2017 Elsevier Ltd. All rights reserved.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH

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oai:www.edit.fis.uni-hamburg.de:publications/e5d77da4-1a48-45bd-b90a-335ff2f2f637