Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. / Kutumova, Elena; Mandrik, Nikita; Sharipov, Ruslan и др.
в: International Journal of Molecular Sciences, Том 26, № 23, 11495, 27.11.2025.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data
AU - Kutumova, Elena
AU - Mandrik, Nikita
AU - Sharipov, Ruslan
AU - Pučić-Baković, Maja
AU - Rapčan, Borna
AU - Aulchenko, Yurii
AU - Lauc, Gordan
AU - Kolpakov, Fedor
N1 - Kutumova E, Mandrik N, Sharipov R, Pučić-Baković M, Rapčan B, Aulchenko Y, Lauc G, Kolpakov F. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. Int. J. Mol. Sci. 2025, 26(23), 11495. https://doi.org/10.3390/ijms262311495 This research was funded by the Russian Science Foundation (grant no. 24-14-20031).
PY - 2025/11/27
Y1 - 2025/11/27
N2 - 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 in both populations, emphasizing its essential role in driving age-dependent changes in IgG glycan profiles and underscoring its potential as a biomarker of aging.
AB - 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 in both populations, emphasizing its essential role in driving age-dependent changes in IgG glycan profiles and underscoring its potential as a biomarker of aging.
KW - BioUML
KW - Golgi apparatus
KW - N-glycosylation
KW - immunoglobulin G
KW - rule-based modeling
KW - immunoglobulin G
KW - N-glycosylation
KW - Golgi apparatus
KW - rule-based modeling
KW - BioUML
UR - https://www.mendeley.com/catalogue/3356eb12-17b1-377b-9951-940c0b6857b5/
UR - https://www.scopus.com/pages/publications/105024627098
U2 - 10.3390/ijms262311495
DO - 10.3390/ijms262311495
M3 - Article
C2 - 41373650
VL - 26
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
SN - 1661-6596
IS - 23
M1 - 11495
ER -
ID: 72844298