Our research aims to understand the different types of adult-onset diabetes and their early stages (prediabetes) by analyzing patterns in blood proteins and metabolites. We want to identify these patterns to better predict who might develop serious complications like heart disease, nerve damage, or kidney failure. By doing so, we hope to create more personalized and effective treatments.
Diabetes is a common condition that affects how the body uses sugar. There are different types of diabetes, mainly type 2 diabetes, which is linked to lifestyle and genetic factors, and type 1 diabetes, which is an autoimmune disease. However, not all people with diabetes experience the disease in the same way; they have different risks for complications and different responses to treatment. Recent studies have shown that there are various subtypes of diabetes, each with unique biological characteristics. Understanding these subtypes can help in predicting complications and tailoring treatments more precisely.
The project will take approximately 36 months to complete.
This research has the potential to significantly improve public health. By identifying the specific subtypes of diabetes and their associated risks, we can develop better strategies for preventing and managing complications. This could lead to more effective treatments, reducing the burden of diabetes-related health issues. In the long run, this means healthier lives for people with diabetes and a reduction in healthcare costs associated with managing the disease and its complications.
