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Proteomic pathways to metabolic disease and type 2 diabetes in the pancreatic islet

Authors :
Gregory J. Cooney
Alexis Diaz-Vegas
Dillon Jevon
Sheyda Naghiloo
Kyle L. Hoehn
Sing-Young Chen
Belinda Yau
Melkam A. Kebede
Austin V Carr
Amanda E. Brandon
Elise J. Needham
Lloyd M. Smith
Mark P. Keller
David E. James
Michael R. Shortreed
Mark Larance
Sean J. Humphrey
Julian Van Gerwen
Laurance Macia
Peter Thorn
Source :
iScience, Vol 24, Iss 10, Pp 103099-(2021), iScience
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Summary Pancreatic islets are essential for maintaining physiological blood glucose levels, and declining islet function is a hallmark of type 2 diabetes. We employ mass spectrometry-based proteomics to systematically analyze islets from 9 genetic or diet-induced mouse models representing a broad cross-section of metabolic health. Quantifying the islet proteome to a depth of >11,500 proteins, this study represents the most detailed analysis of mouse islet proteins to date. Our data highlight that the majority of islet proteins are expressed in all strains and diets, but more than half of the proteins vary in expression levels, principally due to genetics. Associating these varied protein expression levels on an individual animal basis with individual phenotypic measures reveals islet mitochondrial function as a major positive indicator of metabolic health regardless of strain. This compendium of strain-specific and dietary changes to mouse islet proteomes represents a comprehensive resource for basic and translational islet cell biology.<br />Graphical abstract<br />Highlights • Most comprehensive mouse islet proteome library generated to date • Quantification of islet proteomic changes across 6 strains of mice on 2 diets • Islet mitochondrial function revealed as strain-independent regulator of metabolic health<br />Animal physiology; Diabetology; Proteomics.

Details

Language :
English
ISSN :
25890042
Volume :
24
Issue :
10
Database :
OpenAIRE
Journal :
iScience
Accession number :
edsair.doi.dedup.....861a2463e166ef839b12146ca1d75be3