Abstract
Allogeneic intraportal islet transplantation (ITx) has become an established treatment for patients with poorly controlled type 1 diabetes. However, the loss of viable beta-cell mass after transplantation remains a major challenge. Therefore, noninvasive imaging methods for long-term monitoring of the transplant fate are required. In this study, [68Ga]Ga-DOTA-exendin-4 positron emission tomography/computed tomography (PET/CT) was used for repeated monitoring of allogeneic neonatal porcine islets (NPI) after intraportal transplantation into immunosuppressed genetically diabetic pigs. NPI transplantation (3320-15,000 islet equivalents per kg body weight) led to a reduced need for exogenous insulin therapy and finally normalization of blood glucose levels in 3 out of 4 animals after 5 to 10 weeks. Longitudinal PET/CT measurements revealed a significant increase in standard uptake values in graft-bearing livers. Histologic analysis confirmed the presence of well-engrafted, mature islet clusters in the transplanted livers. Our study presents a novel large animal model for allogeneic intraportal ITx. A relatively small dose of NPIs was sufficient to normalize blood glucose levels in a clinically relevant diabetic pig model. [68Ga]Ga-DOTA-exendin-4 PET/CT proved to be efficacious for longitudinal monitoring of islet transplants. Thus, it could play a crucial role in optimizing ITx as a curative therapy for type 1 diabetes.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Tiermedizin > Veterinärwissenschaftliches Department > Lehrstuhl für Molekulare Tierzucht und Biotechnologie
Medizin > Klinikum der LMU München > Klinik für Allgemeine, Viszeral-, Gefäß- und Transplantationschirurgie Medizin > Klinikum der LMU München > Klinik und Poliklinik für Nuklearmedizin Medizin > Klinikum der LMU München > Klinik und Poliklinik für Radiologie Medizin > Klinikum der LMU München > Institut für Laboratoriumsmedizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-120115-1 |
ISSN: | 16006135 |
Sprache: | Englisch |
Dokumenten ID: | 120115 |
Datum der Veröffentlichung auf Open Access LMU: | 21. Aug. 2024, 12:53 |
Letzte Änderungen: | 21. Aug. 2024, 12:53 |