Abstract: The present disclosure reveals a process for the determination of a risk for the development of cardiovascular disease (CVD) in the future from quantitative analysis of four specific IgG N-glycans isolated from a blood sample of examined human subjects. Said four specific glycans were found to be significant diagnostic markers by statistical analysis of the results obtained from previously performed clinical trials that revealed the variation of quantitative IgG glycans content in the blood plasma in a cohort of normal subjects, versus, those who experienced CVD clinical manifestations. From this analysis, a new numerical model was developed which enables the calculation of the CVD risk parameter (CVDR). The numerical value for CVDR obtained after the inclusion of the result of said four key glycans, obtained from the blood analysis, gives an assessment of the eventual CVD development in the examined subject in the future.

Abstract: The present disclosure reveals the diagnostic method for the determination of multiday average molar concentration of estradiol (E2) and from this parameter, the assessment of perimenopause and menopause status in examined female subjects, based on quantitative analysis of N-glycans bound on immunoglobulin G (IgG). The diagnostic process is applicable to the female subjects of 40-55 years of age. The revealed method enables the determination of the multiday average molar concentration of estradiol (E2), which is an important diagnostic parameter hardly accessible by any known single diagnostic method applied on only one or more blood analyses.

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.

Abstract: The invention discloses a method for the analysis of N-glycans attached to immunoglobulin G (IgG) or IgG N-glycopeptides from human blood plasma in which relative abundance of two or more glycans is determined, out of total six, and for these glycans it is determined that they strongly correlate with age.