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Fluorescence lifetime metabolic mapping of hypoxia-induced damage in pancreatic pseudo-islets

  • Aline Zbinden
  • , Daniel A. Carvajal Berrio
  • , Max Urbanczyk
  • , Shannon L. Layland
  • , Mariella Bosch
  • , Sandro Fliri
  • , Chuan en Lu
  • , Abiramy Jeyagaran
  • , Peter Loskill
  • , Garry P. Duffy
  • , Katja Schenke-Layland
  • University of Tübingen
  • Fraunhofer Institute for Interfacial Engineering and Biotechnology (IGB)
  • The Natural and Medical Sciences Institute (NMI) at the University of Tübingen
  • McGill University

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

12 Citations (Scopus)

Abstract

Pancreatic islet isolation from donor pancreases is an essential step for the transplantation of insulin-secreting β-cells as a therapy to treat type 1 diabetes mellitus. This process however damages islet basement membranes, which can lead to islet dysfunction or death. Posttransplantation, islets are further stressed by a hypoxic environment and immune reactions that cause poor engraftment and graft failure. The current standards to assess islet quality before transplantation are destructive procedures, performed on a small islet population that does not reflect the heterogeneity of large isolated islet batches. In this study, we incorporated fluorescence lifetime imaging microscopy (FLIM) into a pancreas-on-chip system to establish a protocol to noninvasively assess the viability and functionality of pancreatic β-cells in a three-dimensional in vitro model (= pseudo-islets). We demonstrate how (pre-) hypoxic β-cell-composed pseudo-islets can be discriminated from healthy functional pseudo-islets according to their FLIM-based metabolic profiles. The use of FLIM during the pretransplantation pancreatic islet selection process has the potential to improve the outcome of β-cell islet transplantation.

Original languageEnglish
Article numbere202000375
JournalJournal of Biophotonics
Volume13
Issue number12
DOIs
Publication statusPublished - Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • FLIM
  • hypoxia
  • insulin
  • pancreatic islet
  • type 1 diabetes

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