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Individual islet respirometry reveals functional diversity within the islet population of mice and human donors.

Citation
Taddeo, E. P., et al. “Individual Islet Respirometry Reveals Functional Diversity Within The Islet Population Of Mice And Human Donors.”. Molecular Metabolism, pp. 150-159.
Center UCSD-UCLA
Author Evan P Taddeo, Linsey Stiles, Samuel Sereda, Eleni Ritou, Dane M Wolf, Muhamad Abdullah, Zachary Swanson, Josh Wilhelm, Melena Bellin, Patrick McDonald, Kacey Caradonna, Andrew Neilson, Marc Liesa, Orian S Shirihai
Keywords glucose, islets, mitochondria, Respirometry
Abstract

OBJECTIVE: Islets from the same pancreas show remarkable variability in glucose sensitivity. While mitochondrial respiration is essential for glucose-stimulated insulin secretion, little is known regarding heterogeneity in mitochondrial function at the individual islet level. This is due in part to a lack of high-throughput and non-invasive methods for detecting single islet function.

METHODS: We have developed a novel non-invasive, high-throughput methodology capable of assessing mitochondrial respiration in large-sized individual islets using the XF96 analyzer (Agilent Technologies).

RESULTS: By increasing measurement sensitivity, we have reduced the minimal size of mouse and human islets needed to assess mitochondrial respiration to single large islets of >35,000 μm area (∼210 μm diameter). In addition, we have measured heterogeneous glucose-stimulated mitochondrial respiration among individual human and mouse islets from the same pancreas, allowing population analyses of islet mitochondrial function for the first time.

CONCLUSIONS: We have developed a novel methodology capable of analyzing mitochondrial function in large-sized individual islets. By highlighting islet functional heterogeneity, we hope this methodology can significantly advance islet research.

Year of Publication
2018
Journal
Molecular metabolism
Volume
16
Number of Pages
150-159
Date Published
12/2018
ISSN Number
2212-8778
DOI
10.1016/j.molmet.2018.07.003
Alternate Journal
Mol Metab
PMID
30098928
PMCID
PMC6157638
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