Standard

Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. / Kutumova, Elena; Mandrik, Nikita; Sharipov, Ruslan et al.

In: International Journal of Molecular Sciences, Vol. 26, No. 23, 11495, 27.11.2025.

Research output: Contribution to journal › Article › peer-review

Harvard

Kutumova, E, Mandrik, N, Sharipov, R, Pučić-Baković, M, Rapčan, B, Aulchenko, Y, Lauc, G & Kolpakov, F 2025, 'Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data', International Journal of Molecular Sciences, vol. 26, no. 23, 11495. https://doi.org/10.3390/ijms262311495

APA

Kutumova, E., Mandrik, N., Sharipov, R., Pučić-Baković, M., Rapčan, B., Aulchenko, Y., Lauc, G., & Kolpakov, F. (2025). Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. International Journal of Molecular Sciences, 26(23), [11495]. https://doi.org/10.3390/ijms262311495

Vancouver

Kutumova E, Mandrik N, Sharipov R, Pučić-Baković M, Rapčan B, Aulchenko Y et al. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. International Journal of Molecular Sciences. 2025 Nov 27;26(23):11495. doi: 10.3390/ijms262311495

Author

Kutumova, Elena ; Mandrik, Nikita ; Sharipov, Ruslan et al. / Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data. In: International Journal of Molecular Sciences. 2025 ; Vol. 26, No. 23.

BibTeX

@article{6f81aaec64024a19b6dce917134983e2,
title = "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 Kor{\v c}ula 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.",
keywords = "BioUML, Golgi apparatus, N-glycosylation, immunoglobulin G, rule-based modeling, immunoglobulin G, N-glycosylation, Golgi apparatus, rule-based modeling, BioUML",
author = "Elena Kutumova and Nikita Mandrik and Ruslan Sharipov and Maja Pu{\v c}i{\'c}-Bakovi{\'c} and Borna Rap{\v c}an and Yurii Aulchenko and Gordan Lauc and Fedor Kolpakov",
note = "Kutumova E, Mandrik N, Sharipov R, Pu{\v c}i{\'c}-Bakovi{\'c} M, Rap{\v c}an 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).",
year = "2025",
month = nov,
day = "27",
doi = "10.3390/ijms262311495",
language = "English",
volume = "26",
journal = "International Journal of Molecular Sciences",
issn = "1661-6596",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "23",

}

RIS

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