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Zettler, S.* ; Renner, S.* ; Kemter, E.* ; Hinrichs, A.* ; Klymiuk, N.* ; Backman, M.* ; Riedel, E.O.* ; Mueller, C.* ; Streckel, E.* ; Braun-Reichhart, C.* ; Martins, A.S.* ; Kurome, M.* ; Keßler, B.* ; Zakhartchenko, V.* ; Flenkenthaler, F.* ; Arnold, G.J.* ; Fröhlich, T.* ; Blum, H.* ; Blutke, A. ; Wanke, R.* ; Wolf, E.*

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

Anim. Reprod. 17:e20200064 (2020)
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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.
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Publication type Article: Journal article
Document type Review
Keywords Biobank ; Diabetes ; Pig Model ; Xenotransplantation; Transgenic Pigs; Animal-models; Cells; Organs; Xenotransplantation
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 1806-9614
e-ISSN 1984-3143
Quellenangaben Volume: 17, Issue: 3, Pages: , Article Number: e20200064 Supplement: ,
Publisher Brazilian College of Animal Reproduction
Publishing Place Brazil
Reviewing status Peer reviewed
Institute(s) Research Unit Analytical Pathology (AAP)
CF Pathology & Tissue Analytics (CF-PTA)
POF-Topic(s) 30205 - Bioengineering and Digital Health
30505 - New Technologies for Biomedical Discoveries
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-500390-001
A-630600-001
Scopus ID 85092090816
PubMed ID 33029223
Erfassungsdatum 2020-11-23