CCG Prediction and Subclassification of Type 2 Diabetes

Medical Background

Type 2 diabetes (adult onset diabetes) is a very common metabolic disease which can lead to life-threatening secondary conditions. Both genetic and environmental factors such as obesity, physical inactivity and smoking interact in its pathogenesis. Once the disease is diagnosed, it is usually progressive, which means that it becomes increasingly difficult to control with treatment. That is why it would be important to identify individuals with an increased risk of type 2 diabetes while their glucose metabolism is still normal. Then targeted preventive measures could be taken much sooner to impede or at least delay the onset of the disease. So far, however, diagnostic parameters or biomarkers are not yet available which would enable the identification of individuals at risk at such an early stage.

Pregnancy or gestational diabetes is a disorder of glucose metabolism that occurs for a limited period of time during pregnancy. The reason for its occurrence during this period is an increased need for insulin. Women who develop gestational diabetes also have a clearly increased risk of developing type 2 diabetes later on, since the genetic basis for the two diseases is very similar. However in the affected women, glucose metabolism at first returns to normal again in the years following a “diabetic pregnancy”.

The central project of the CCG is a clinical study with women who recently have had gestational diabetes. With the aid of these study participants we have the unique opportunity of studying individuals with already proven diabetes risk while their glucose metabolism is still unimpaired. Thus, the basic conditions are given for identifying the predictive biomarkers described above.

Project Aim

We want to identify diagnostic parameters (biomarkers) that can indicate an increased risk for type 2 diabetes already in individuals with normal glucose metabolism.