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Genetically engineered pig models for diabetes research

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Abstract

Diabetes mellitus (DM) has emerged into a steadily increasing health problem and the predicted future dimension of the global DM epidemic is alarming: an increase from currently 346 million to over 400 million affected people worldwide by the year 2030 was extrapolated. Thus concerted research efforts are imperative to gain insight into disease mechanisms and to expand the basis for development of preventive and therapeutic strategies. Diabetic rodent models have traditionally been used to follow these goals, but have limitations for translational research. The pig is another classical animal model for diabetes research. Genetic engineering now facilitates tailoring pig models which mimic human disease mechanisms at the molecular level. This article reviews the existing genetically engineered pig models for diabetes research and their current and future applications. Further, the potential role of the pig as donor of pancreatic islets for xenotransplantation or as host for growing human pancreas is outlined.

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Acknowledgments

Our projects involving genetically engineered pigs for diabetes research and islet xenotransplantation were supported by the Federal Ministry for Education and Research (Leading-Edge Cluster ‘m4—Personalised Medicine and Targeted Therapies’) and by the German Research Council (FOR 535 ‘Xenotransplantation’, Transregio-CRC 127 ‘Biology of xenogeneic cell, tissue and organ transplantation—from bench to bedside’).

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  1. Chair of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen-Str. 25, 81377, Munich, Germany

    Eckhard Wolf, Christina Braun-Reichhart, Elisabeth Streckel & Simone Renner

  2. Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany

    Eckhard Wolf

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Correspondence to Eckhard Wolf.

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Wolf, E., Braun-Reichhart, C., Streckel, E. et al. Genetically engineered pig models for diabetes research. Transgenic Res 23, 27–38 (2014). https://doi.org/10.1007/s11248-013-9755-y

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