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

Silja ZettlerSimone RennerElisabeth KemterArne HinrichsNikolai KlymiukMattias BackmanEvamaria Olga RiedelChristiane MuellerElisabeth StreckelChristina Braun-ReichhartAna Sofia MartinsMayuko KuromeBarbara KeßlerValeri ZakhartchenkoFlorian FlenkenthalerGeorg Josef ArnoldThomas FröhlichHelmut BlumAndreas BlutkeRüdiger WankeEckhard Wolf
Published in: Animal reproduction (2020)
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.
Keyphrases
  • endothelial cells
  • type diabetes
  • clinical trial
  • cardiovascular disease
  • stem cells
  • pluripotent stem cells
  • smoking cessation
  • adipose tissue
  • single cell
  • artificial intelligence
  • bone marrow
  • copy number
  • deep learning