Selected Publications Xenotransplantation and Cell Therapy
Fischer A, Manske K, Seissler J, Wohlleber D, Simm N, Wolf-van Buerck L, Knolle P, Schnieke A, Fischer K. (2020). Cytokine-inducible promoters to drive dynamic transgene expression: The "Smart Graft" strategy. Xenotransplantation 27(6):e12634.
Carvalho Oliveira M, Valdivia E, Verboom M, Yuzefovych Y, Sake H, Pogozhykh O, Niemann H, Schwinzer R, Petersen B, Seissler J, Blasczyk R, Figueiredo C. (2020). Generating low immunogenic pig pancreatic islet cell clusters for xenotransplantation. J Cell Mol Med. 24:5070-5081.
Wolf-van Buerck, Schuster M, Oduncu FS, Baehr A, Mayr T, Guethoff S, Abicht J, Reichart B, Klymiuk N, Wolf E, Seissler J. (2017). LEA29Y expression in transgenic neonatal porcine islet-like cluster promotes long-lasting xenograft survival in humanized mice without immunosuppressive therapy. Sci Rep 7(1):3572.
Wolf-van Buerck L, Schuster M, Baehr A, Mayr T, Guethoff S, Abicht J, Reichart B, Nam-Apostolopoulos YC, Klymiuk N, Wolf E, Seissler J. (2015). Engraftment and reversal of diabetes after intramuscular transplantation of neonatal porcine islet-like clusters. Xenotransplantation 22:443-450.
Arndt B, Witkowski L, Ellwart J, Seissler J. (2015). CD8+ CD122+ PD-1- effector cells promote the development of diabetes in NOD mice. J Leukoc Biol 97:111-120.
Klymiuk N*; van Bürck L*, Bähr A, Offers M, Kessler B, Wuensch A, Kurome M, Thormann M, Lochner K, Nagashima H, Herbach N, Wanke R, Seissler J#, Wolf E#. (2012). Xenografted islet-cell-clusters from INSLEA29Y transgenic pigs rescue diabetes and prevent immune rejection in humanized mice. Diabetes 61:1527-1532.
Link all Publications PubMed
Research Group Type 2 Diabetes
Our mission is to improve the health of individuals with prediabetes and diabetes by the identification of specific diabetes subtypes and the establishment of novel individualized therapies.
Previous work
In the population-based KORA-study and the prediction, prevention and subclassification of diabetes study (PPS-Diab) we identified specific patterns of serum biomarkers, metabolites and genetic markers associated with progression to type 2 diabetes and cardiovascular complications.
We characterised the clinical and metabolic profiles of persons at increased risk for diabetes and we have identified a subgroup of high risk patients who display no signs of metabolic syndrome.
Aims of research
- To analyse the pathophysiological mechanisms involved in the development of different subtypes of type 2 diabetes
- To characterise the link between genetic, metabolic and environmental factors leading to deterioration of beta-cell function
- To screen for predictive biomarkers of prediabetes using novel omic-technologies
- To test new interventions strategies
Clinical Studies
Selected Publications Clinical Studies
Rottenkolber M, Gar C, Then C, Wanger L, Sacco V, Banning F, Potzel AL, Kern-Matschilles S, Nevinny-Stickel-Hinzpeter C, Grallert H, Hesse N, Seissler J, Lechner A. (2021). A Pathophysiology of Type 2 Diabetes Unrelated to Metabolic Syndrome. Clin Endocrinol Metab. 2021 Jan 30:dgab057. doi: 10.1210/clinem/dgab057.
Gar C, Haschka SJ, Kern-Matschilles S, Rauch B, Sacco V, Prehn C, Adamski J, Seissler J, Wewer Albrechtsen NJ, Holst JJ, Lechner A. (2021). The liver-alpha cell axis associates with liver fat and insulin resistance: a validation study in women with non-steatotic liver fat levels. Diabetologia 64(3):512-520.
Sujana C, Seissler J, Jordan J, Rathmann W, Koenig W, Roden M, Mansmann U, Herder C, Peters A, Thorand B, Then C. (2020). Associations of cardiac stress biomarkers with incident type 2 diabetes and changes in glucose metabolism: KORA F4/FF4 study. Cardiovasc Diabetol. 19:178
Zaharia OP, Strassburger K, Strom A, Bönhof GJ, Karusheva Y, Antoniou S, Bódis K, Markgraf DF, Burkart V, Müssig K, Hwang JH, Asplund O, Groop L, Ahlqvist E, Seissler J, Nawroth P, Kopf S, Schmid SM, Stumvoll M, Pfeiffer AFH, Kabisch S, Tselmin S, Häring HU, Ziegler D, Kuss O, Szendroedi J, Roden M; German Diabetes Study Group. (2019). Risk of diabetes-associated diseases in subgroups of patients with recent-onset diabetes: a 5-year follow-up study. Lancet Diabetes Endocrinol 7(9):684-694.
Then C, Then H, Meisinger C, Heier M, Peters A, Koenig W, Rathmann W, Scherberich J, Seissler J. (2019). Serum uromodulin is associated with but does not predict type 2 diabetes in elderly KORA F4/FF4 study participants. J Clin Endocrinol Metab jc.2018-02557.
Schloot NC, Pham MN, Hawa MI, Pozzilli P, Scherbaum WA, Schott M, Kolb H, Hunter S, Schernthaner G, Thivolet C, Seissler J#, Leslie RD#. (2016). Inverse relationship between organ-specific autoantibodies and systemic immune mediators in type 1 diabetes and type 2 diabetes: Action LADA 11. Diabetes Care 39:1932-1939.
Rottenkolber M*, Ferrari U*, Holland L, Aertsen S, Kammer NN, Hetterich H, Fugmann M, Banning F, Weise M, Sacco V, Kohn D, Freibothe I, Hutter S, Hasbargen U, Lehmann R, Grallert H, Parhofer KG, Seissler J#, Lechner A#. (2015). The diabetes risk phenotype of young women with recent gestational diabetes. J Clin Endocrinol Metab 100:E910-918.
Link all Publications PubMed
Team
Prof. Dr. med. Jochen Seißler Leiter der Diabeteologie Jochen.Seissler@med.uni-muenchen.de
PD Dr. med. Cornelia Then Cornelia.Then@med.uni-muenchen.de
Dr.med.vet. Lelia Wolf van Bürck Lelia.van_Buerck@med.uni-muenchen.de
Dr. Mohsen Honarpisheh Mohsen.Honarpisheh@med.uni-muenchen.de
Monika Pehl Monika. Pehl@med.uni-muenchen.de
Yichen Zhang Yichen.Zhang@med.uni-muenchen.de
