The Influence of Genetics and Epigenetics on the Diabetes
Coordinators:
Annette Schürmann | Johannes Beckers | Martin Hrabě de Angelis
Members of the Academy
Members of the Academy
Hadi Al-Hasani, DDZ
Johannes Beckers, HMGU
Alexandra Chadt, DDZ
Fabian Eichelmann, DIfE
Raffaele Gerlini, HMGU
Harald Grallert, HMGU
Martin Hrabě de Angelis, HMGU
Henriette Kirchner, Lübeck
Meriem Ouni, DIfE
Fabiana Perocchi, HMGU
Robert Schneider, HMGU
Martin Schön, DDZ
Tim Schulz, DIfE
Matthias Schulze, DIfE
Annette Schürmann, DIfE
Michele Solimena, PLID
Raffaele Teperino, HMGU
Henriette Uhlenhaut, HMGU
Heike Vogel, DIfE
Merly Vogt, HMGU
Genetic predisposition, diet and physical activity influence the risk of type 2 diabetes. The Academy researches the molecular causes of diseases and develops innovative strategies for early diagnosis, effective prevention and new therapeutic approaches.
The (Epi)Genetics Academy researches how genetic, epigenetic and environmental factors influence the risk of type 2 diabetes (T2D). The aim is to better understand subtypes of (pre-)diabetes, predict treatment response and develop new biomarkers as well as treatment approaches. Animal and human studies are combined to identify disease-relevant genes, epigenetic changes and molecular networks.
Key areas of research
- Improved early detection of T2D and its complications.
- Identification of molecular mechanisms of T2D and concomitant diseases.
- Research into drugs and genetic techniques that can specifically influence inherited and acquired risks for type 2 diabetes.
Identification of central mechanisms
The (Epi)Genetics Academy has made significant progress in understanding the molecular causes of T2D and metabolic disorders. The successful transfer of research results from model systems to human cohorts has made it possible to identify central mechanisms that contribute to the development of the disease. These findings create a solid basis for the development of improved strategies for early diagnosis, individual risk assessment and targeted intervention – with the aim of sustainably optimizing care along the entire course of the disease.
New genetic findings for diagnosis and therapy
Using functional genomics and mouse models, the Academy identified 17 new genes involved in obesity, MASLD and type 2 diabetes. Among other things, they influence fat cells, liver metabolism and the function of the islets of Langerhans. Their relevance has been confirmed in animal and human tissue, thus forming an important basis for new therapeutic targets.
Genetic factors also have an influence on complications of T2D such as cardiovascular disease: The insulin regulator TBC1D4 not only increases muscle insulin resistance, but also heart damage post ischemia (vasoconstriction or vascular occlusion). This underlines insulin resistance as a controllable risk factor in diabetes-related heart failure.
Insights into molecular causes
DZD researchers analyzed blood samples from over 1700 people and found certain lipids and amino acids that are associated with obesity and T2D. The fat molecules sphingomyelin and phosphatidylcholine in particular could explain how obesity increases the risk of diabetes. Genetic analyses and animal experiments confirm that changes in fat metabolism play a central role in the early development of the disease.
Publications
Spielmann N et al. Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy. Nat Cardiovasc Res (2022). https://doi.org/10.1038/s44161-022-00018-8
Wittenbecher C et al. Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology. Nat Commun (2022). https://doi.org/10.1038/s41467-022-28496-1
Dong Q et al. Metabolic Signatures Elucidate the Effect of Body Mass Index on Type 2 Diabetes. Metabolites (2023). https://doi.org/10.3390/metabo13020227
Tomar A et al. Epigenetic inheritance of diet-induced and sperm-borne mitochondrial RNAs. Nature (2024). https://doi.org/10.1038/s41586-024-07472-3
Kwon Y et al. Induction of steatosis in primary human hepatocytes recapitulates key pathophysiological aspects of metabolic dysfunction-associated steatotic liver disease. J Hepatol (2025). https://doi.org/10.1016/j.jhep.2024.06.040