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  • Cell identity dynamics and insight into insulin secretagogues when employing stem cell-derived islets for disease modeling.

Cell identity dynamics and insight into insulin secretagogues when employing stem cell-derived islets for disease modeling.

Frontiers in bioengineering and biotechnology (2024-06-27)
Chencheng Wang, Shadab Abadpour, Aleksandra Aizenshtadt, Andrea Dalmao-Fernandez, Merete Høyem, Ingrid Wilhelmsen, Justyna Stokowiec, Petter Angell Olsen, Stefan Krauss, Simona Chera, Luiza Ghila, Helge Ræder, Hanne Scholz
ABSTRACT

Stem cell-derived islets (SC-islets) are not only an unlimited source for cell-based therapy of type 1 diabetes but have also emerged as an attractive material for modeling diabetes and conducting screening for treatment options. Prior to SC-islets becoming the established standard for disease modeling and drug development, it is essential to understand their response to various nutrient sources in vitro. This study demonstrates an enhanced efficiency of pancreatic endocrine cell differentiation through the incorporation of WNT signaling inhibition following the definitive endoderm stage. We have identified a tri-hormonal cell population within SC-islets, which undergoes reduction concurrent with the emergence of elevated numbers of glucagon-positive cells during extended in vitro culture. Over a 6-week period of in vitro culture, the SC-islets consistently demonstrated robust insulin secretion in response to glucose stimulation. Moreover, they manifested diverse reactivity patterns when exposed to distinct nutrient sources and exhibited deviant glycolytic metabolic characteristics in comparison to human primary islets. Although the SC-islets demonstrated an aberrant glucose metabolism trafficking, the evaluation of a potential antidiabetic drug, pyruvate kinase agonist known as TEPP46, significantly improved in vitro insulin secretion of SC-islets. Overall, this study provided cell identity dynamics investigation of SC-islets during prolonged culturing in vitro, and insights into insulin secretagogues. Associated advantages and limitations were discussed when employing SC-islets for disease modeling.

MATERIALS
Product Number
Brand
Product Description

Sigma-Aldrich
Carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone, ≥98% (HPLC), powder
Sigma-Aldrich
Antimycin A from Streptomyces sp.
Sigma-Aldrich
γ-Secretase Inhibitor XX, This γ-secretase inhibitor, CAS 209984-56-5, is a cell-permeable dibenzazepine compound that lowers both brain and plasma Aβ40 levels by ~72% in Tg2576 mutant APP transgenic mouse model.