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A decade of experience with genetically tailored pig models for diabetes and metabolic research

Authors :
Helmut Blum
Valeri Zakhartchenko
Mattias Backman
Rüdiger Wanke
Arne Hinrichs
Barbara Keßler
Eckhard Wolf
Georg J. Arnold
Ana Sofia Martins
Evamaria O. Riedel
Elisabeth Kemter
Christina Braun-Reichhart
Mayuko Kurome
Thomas Fröhlich
Simone Renner
Nikolai Klymiuk
Christiane Mueller
Florian Flenkenthaler
Elisabeth Streckel
Andreas Blutke
Silja Zettler
Source :
Animal Reproduction, Animal Reproduction, Volume: 17, Issue: 3, Article number: e20200064, Published: 02 SEP 2020
Publication Year :
2020
Publisher :
FapUNIFESP (SciELO), 2020.

Abstract

The global prevalence of diabetes mellitus and other metabolic diseases is rapidly increasing. Animal models play pivotal roles in unravelling disease mechanisms and developing and testing therapeutic strategies. Rodents are the most widely used animal models but may have limitations in their resemblance to human disease mechanisms and phenotypes. Findings in rodent models are consequently often difficult to extrapolate to human clinical trials. To overcome this ‘translational gap’, we and other groups are developing porcine disease models. Pigs share many anatomical and physiological traits with humans and thus hold great promise as translational animal models. Importantly, the toolbox for genetic engineering of pigs is rapidly expanding. Human disease mechanisms and targets can therefore be reproduced in pigs on a molecular level, resulting in precise and predictive porcine (PPP) models. In this short review, we summarize our work on the development of genetically (pre)diabetic pig models and how they have been used to study disease mechanisms and test therapeutic strategies. This includes the generation of reporter pigs for studying beta-cell maturation and physiology. Furthermore, genetically engineered pigs are promising donors of pancreatic islets for xenotransplantation. In summary, genetically tailored pig models have become an important link in the chain of translational diabetes and metabolic research.

Details

ISSN :
19843143 and 18069614
Volume :
17
Database :
OpenAIRE
Journal :
Animal Reproduction
Accession number :
edsair.doi.dedup.....9d812b6f3ba424fa5f322f7baedc19d3
Full Text :
https://doi.org/10.1590/1984-3143-ar2020-0064