| abstract |
A prediction of type 2 diabetes development through quantitative analysis of N-glycans attached to the plasma proteins of a healthy person, which enables determination of whether the investigated person belongs to a risk group for type 2 diabetes development in the future. Using obtained quantitative percentages of all analyzed N-glycans as input variables of a model F: F(GP1, GP2, . . . , GPX; D, S), where X, D and S are parameters of the model F: X=total number of analyzed N-glycans; D=age of the investigated person; S=sex of the investigated person; male=1, female=0. Obtaining constants of the model F (GP1, GP2, . . . , GPX; D, S) by statistical data processing and modelling from analyzed population. Comparing obtained result F for the investigated person with a statistically determined threshold T, which defines the threshold of increased risk for type 2 diabetes (T2D) development in the future. |