In vitro beta-cell killing models using immune cells and human pluripotent stem cell-derived islets: Challenges and opportunities
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Published:2023-01-16
Issue:
Volume:13
Page:
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ISSN:1664-2392
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Container-title:Frontiers in Endocrinology
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language:
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Short-container-title:Front. Endocrinol.
Author:
Halliez Clémentine,Ibrahim Hazem,Otonkoski Timo,Mallone Roberto
Abstract
Type 1 diabetes (T1D) is a disease of both autoimmunity and β-cells. The β-cells play an active role in their own demise by mounting defense mechanisms that are insufficient at best, and that can become even deleterious in the long term. This complex crosstalk is important to understanding the physiological defense mechanisms at play in healthy conditions, their alterations in the T1D setting, and therapeutic agents that may boost such mechanisms. Robust protocols to develop stem-cell-derived islets (SC-islets) from human pluripotent stem cells (hPSCs), and islet-reactive cytotoxic CD8+ T-cells from peripheral blood mononuclear cells offer unprecedented opportunities to study this crosstalk. Challenges to develop in vitro β-cell killing models include the cluster morphology of SC-islets, the relatively weak cytotoxicity of most autoimmune T-cells and the variable behavior of in vitro expanded CD8+ T-cells. These challenges may however be highly rewarding in light of the opportunities offered by such models. Herein, we discuss these opportunities including: the β-cell/immune crosstalk in an islet microenvironment; the features that make β-cells more sensitive to autoimmunity; therapeutic agents that may modulate β-cell vulnerability; and the possibility to perform analyses in an autologous setting, i.e., by generating T-cell effectors and SC-islets from the same donor.
Funder
Academy of Finland
Novo Nordisk Fonden
Sigrid Juséliuksen Säätiö
Leona M. and Harry B. Helmsley Charitable Trust
Agence Nationale de la Recherche
Fondation pour la Recherche Médicale
Innovative Medicines Initiative
Publisher
Frontiers Media SA
Subject
Endocrinology, Diabetes and Metabolism
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