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The Foundation for Engineering a Pancreatic Islet Niche.
Patel, Smit N; Mathews, Clayton E; Chandler, Rachel; Stabler, Cherie L.
Affiliation
  • Patel SN; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.
  • Mathews CE; Department of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, United States.
  • Chandler R; Diabetes Institute, University of Florida, Gainesville, FL, United States.
  • Stabler CL; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.
Front Endocrinol (Lausanne) ; 13: 881525, 2022.
Article in En | MEDLINE | ID: mdl-35600597
ABSTRACT
Progress in diabetes research is hindered, in part, by deficiencies in current experimental systems to accurately model human pathophysiology and/or predict clinical outcomes. Engineering human-centric platforms that more closely mimic in vivo physiology, however, requires thoughtful and informed design. Summarizing our contemporary understanding of the unique and critical features of the pancreatic islet can inform engineering design criteria. Furthermore, a broad understanding of conventional experimental practices and their current advantages and limitations ensures that new models address key gaps. Improving beyond traditional cell culture, emerging platforms are combining diabetes-relevant cells within three-dimensional niches containing dynamic matrices and controlled fluidic flow. While highly promising, islet-on-a-chip prototypes must evolve their utility, adaptability, and adoptability to ensure broad and reproducible use. Here we propose a roadmap for engineers to craft biorelevant and accessible diabetes models. Concurrently, we seek to inspire biologists to leverage such tools to ask complex and nuanced questions. The progenies of such diabetes models should ultimately enable investigators to translate ambitious research expeditions from benchtop to the clinic.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Islets of Langerhans Type of study: Prognostic_studies Limits: Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Islets of Langerhans Type of study: Prognostic_studies Limits: Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2022 Document type: Article Affiliation country:
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