Detection of global glycosylation changes of serum proteins in type 1 diabetes using a lectin panel and multivariate data analysis

Principal component analysis showed that the lectin panel enabled discrimination between sera from the three different above-mentioned groups. Using an artificial neuronal net (ANN), it was possible to correctly categorize unknown serum samples into one of the three groups.