Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.

ABSTRACT: Glycosylation of immunoglobulin G (IgG) is a critical regulator of its functional properties. We present an original mathematical model, calibrated and validated using quantitative IgG N-glycosylation data from two independent cohorts, 915 individuals from Korčula Island and 890 individuals from Vis Island, Croatia, reported in prior studies. The datasets comprise relative glycan levels measured by ultrahigh-performance liquid chromatography (UHPLC), represented by 22 chromatographic peaks per individual. By fitting the model to these data, we estimated the total concentrations of seven key enzymes involved in glycan biosynthesis across four Golgi compartments. The model revealed an age-related decline in β-N-acetylglucosaminylglycopeptide β-1,4-galactosyltransferase (GalT) concentrations

SUBMITTER: Kutumova E 

PROVIDER: S-EPMC12692266 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature